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2 | Welcome to the COVID-19 social science project tracker. This unofficial, community-driven, open initiative is led by Nate Matias (Cornell University, Communication; @natematias) and Alex Leavitt (Facebook Research, Health Integrity; @alexleavitt). | ||||||||||||||||||||||||||||||
3 | ATTENTION: When you are finished viewing, please close the tab so others can read and edit. Otherwise, Google will lock everyone out. Thanks! | Please add your projects by visiting https://forms.gle/K5CUpHYk23XXZSrh7 and filling out the form! | |||||||||||||||||||||||||||||
4 | Please do not share this link directly. Instead, share our landing page at https://github.com/natematias/covid-19-social-science-research/ | ||||||||||||||||||||||||||||||
5 | Status | Short Project Title | Last Updated (YYYY-MM-DD) | Contact Email | Lead POC (Name) | Lead POC Institution | Team/Lab Link | Primary Research Question | Method(s) | Locations Studied | Anticipated Impact Category | Anticipated Impact | Other Collaborators (Name, Institution) | Study Timing (MM/YYYY Fielded) | Description of Project (100 words max) | Goals | Outcome Variables or Findings | Research Plan Link | Analysis Link (e.g., Jupyter Notebook) | Pre-Print Link | Publication Link | ||||||||||
6 | Timestamp | What is the current status of your project? | What is the short title of your project? (10-12 words max) | What is today's date? | What is the email address of the PI, project lead, or lead author? | What is the first and last name of the PI, project lead, or lead author? | What is the university or institution of the PI, project lead, or lead author? | What is the URL or link of the PI, project lead, or lead author's team or lab? | What is the primary research question of this project? (Limit your answer to one question, ending with a question mark.) | What are the method(s) employed in this study? (For example, "survey," "field experiment," or "interviews.") | What are the countries in which this study is being conducted (if more than one country, please separate with commas). | What is the category of the anticipated impact for this study? | What is the anticipated impact of the study? (Please describe in 12-14 words maximum.) | Who are the other collaborators on this project? Please list first and last names and their institutions. (In the format of "First Last (University)" please.) | What is the timing of the study or when it will be fielded? (Please use the date format YYYY-MM as an estimate.) | What is a short description of the full study? (100 words maximum) | What are the goals of the study? (40 words maximum) | What are the outcome variables or intended findings of the study? (30 words maximum) | Please provide a URL or link to your research plan. | Please provide a URL or link to your analysis (e.g., a Jupyter notebook). | Please provide a URL or link to your pre-print. | Please provide a URL or link to your final journal publication or report. | |||||||||
7 | Pre-Print | Nudge Interventions for COVID-19 on Social Media | 2020-03-19 | gordon.pennycook@uregina.ca | Gordon Pennycook | University of Regina | https://docs.google.com/document/d/1k2D4zVqkSHB1M9wpXtAe3UzbeE0RPpD_E2UpaPf6Lds/edit?usp=drivesdk | Does an accuracy nudge intervention reduce the sharing of misinformation about COVID-19 on social media? | Survey experiment | United States | Prevention | Design changes for social media companies | Jonathon McPhetres (University of Regina), Yunhao Zhang (MIT), David Rand (MIT) | 03/2020 | We investigate why people believe and spread false (and true) news content about COVID-19, and test an intervention intended to increase the truthfulness of the content people share on social media. Across two studies with over 1,600 participants (quota-matched to the American public on age, gender, ethnicity and geographic region), we find support for the idea that people share false claims about COVID-19 in part because they simply fail to think sufficiently about whether or not content is accurate when deciding what to share. | Determine if an intervention works on supperssing shared of COVID misinformation | Judgement of accuracy, truth discernment, sharing intentions | https://psyarxiv.com/uhbk9/ | |||||||||||||
8 | Planning | Testing Public Health Messaging on reddit | 2020-03-19 | nathan.matias@cornell.edu | J. Nathan Matias | Cornell University | Ongoing tests of public health messages on beliefs & behavior | Field experiment | United States | All Stages | Messaging strategies by scientists, public health experts, peer interventions | r/science moderators (1500 volunteers), American Association for the Advancement of Science, John Besley (Michigan State) | A group of 1,500 scientists who moderate r/science (23.5 million subscribers) will organize to provide accurate information about COVID-19 and test the effectiveness of public health communication about the pandemic. The Citizens and Tech Lab at Cornell University (CAT Lab), will use our citizen science software for testing fact-checking on reddit to test these interventions. | Test the effects of messaging on public beliefs and behaviors. | TBD | ||||||||||||||||
9 | Published | Monitoring reddit algorithms for COVID-19 misinformation | 2020-03-19 | nathan.matias@cornell.edu | J. Nathan Matias | Cornell University | https://covid-algotracker.citizensandtech.org/ | What COVID-19 info is promoted by reddit's algorithms? | Real-time observational data collection | United States | All Stages | Information for community moderators, journalists, public health experts, platforms | r/science moderators (1500 volunteers), American Association for the Advancement of Science | 12/2019 | Real-time monitoring, with a dashboard and machine readable data forthcoming, of COVID-19 information promoted by reddit's algorithms | Produce real-time descriptive information about information patterns. | Longitudinal dataset of ranking results over time. | https://github.com/natematias/covid-algotracker | |||||||||||||
10 | Data Collection | Database of COVID-19 minsinformation | 2020-03-19 | jns@princeton.edu | Jake Shapiro | Princeton University | https://esoc.princeton.edu/files/covid-019-disinformation-data | What are the misinofrmation narratives around COVID-19 and how are they changing over time? | Manual data collection (simple stuff) | World | All Stages | Information for community moderators, journalists, public health experts, platforms | TBD | 03/2020 | Daily monitoring of COVID-19 misinformation narratives reported in press. Periodic updates of publicly accessible dataset. | Inform technical efforts, track trends, enable public understanding of landscape of COVID-19 misinformation. | List of misinformation narratives and press reporting discussing them. | ||||||||||||||
11 | Pre-Print | Comprehension of behavioural measures and tests of 'social distancing' communication | 2020-04-03 | shane.timmons@esri.ie | Shane Timmons (on behalf of PI Pete Lunn) | Economic and Social Research Institute (Dublin, Ireland) | http://esri.ie/bru | How well have behavioural measures been absorbed by the population? What approach to 'social distancing' messaging is likely to be most effective? (e.g. appeals to vulnerable persons, transmission magnitude) Are there socio-demographic differences in responses to social distancing messaging? | Survey experiment | Ireland | Prevention | Information for public health officials and national health service | Behavioural Research Unit at ESRI | 03/2020 | We plan to run a survey experiment with a nationally representative sample in Ireland. One aim of the survey is to assess how well the population thus far understands the measures they have been asked to take. Another aim is to test experimentally different rationales for social distancing (e.g. protecting vulnerable persons, flattening the curve, etc.) and assessing whether they affect intentions for behaviour (particularly marginal behaviours) and how well people understand the effect of social distancing on transmission. | Assess current understanding of behavioural measures advised and their rationale, identify misconceptions, test the most effective ways to communicate need for social distancing, identify dependent variables with appropriate variation for future experiments and surveys | Multiple outcome variables planned due to uncertainty with variation - including comprehension via open text responses and multiple choice responses, assessment of 'marginal behaviours' (those likely to be judged acceptable by some people but not others - such as visiting a relative), assessment of beliefs related to transmission and severity, day reconstruction, future intentions | https://osf.io/r9hzs/ | https://www.esri.ie/publications/motivating-social-distancing-during-the-covid-19-pandemic-an-online-experiment | ||||||||||||
12 | Data Collection | Media Exposure and Coronavirus beliefs | 2020-03-19 | cj-carpenter2@wiu.edu | Christopher Carpenter | Western Illinois University | Which media channels and topics are associated with efficacy, susceptibility, severity, and descriptive norm beliefs. Which of these are associated with recommended behaviors for prevention? | Survey | United States | Prevention | Information for public health officials and Health Communication interentions | Bree McEwan, DePaul University | 2020-03-18 | We're measuring susceptibility, severity, efficacy, and normative beliefs about the coronavirus. We are also measuring political orientation and ego-involvement in politics. We are measuring exposure to various media channels as well as self-reports of prevention behaviors. We are using a network sample (snowball sample) so if you wish to share our study, please do. Here's a link to my tweet about it if you wish to share, we would appreciate it: https://twitter.com/DrCJCarpenter/status/1240371787881463809 | Learn about which kinds of channels and messages are associated with taking precautions. Also, testing parts of our theory, mediated skewed diffusion of issues information https://journals.sagepub.com/doi/full/10.1177/2056305118800319 | Self-reports of behavior | We'll post our dataset | ||||||||||||||
13 | Pre-Print | #COVID-19: The First Public Coronavirus Twitter Dataset | 2020-03-16 | emiliofe@usc.edu | Emilio Ferrara | University of Southern California | http://www.emilio.ferrara.name | We wanted to provide a publicly accessible data source to all researchers in computational social sciences concerned with studying online information diffusion within the ongoing covid-19 outbreak. | Data collection + enrichment | World | All Stages | Enabling numerous studies from researchers worldwide | ongoing, since 1/22/2020 | Data access is the first barrier to research. Computational social scientists often struggles accessing data to study social phenomena. We wanted to provide a publicly accessible data source to all researchers in computational social sciences concerned with studying online information diffusion within the ongoing covid-19 outbreak. | Ongoing collection of Twitter posts related to the covid-19 epidemic outbreak | https://github.com/echen102/COVID-19-TweetIDs | https://arxiv.org/abs/2003.07372 | ||||||||||||||
14 | Analysis | High Tempo Online Collaboration around Coronavirus Wikipedia Articles | 2020-03-19 | Brian.Keegan@colorado.edu | Brian Keegan | University of Colorado Boulder | https://github.com/brianckeegan/Coronavirus-Wikipedia | Characterizing the content production and demand dynamics for coronavirus information on Wikipedia. | Log data analysis | English and Chinese Wikipedias | All Stages | Improving information quality and platform resilience | Chenhao Tan (CU Boulder) | Ongoing | Analysis of revision history and page use data for ~1000 English and ~1000 Chinese Wikipedia articles about the coronavirus and its effects. Network analysis, natural language processing, time series analysis. | Engagement across languages, common references, information supply-demand coupling | |||||||||||||||
15 | Planning | Stemming the Spread of COVID-19: Coordinating Remote Work for Social Distancing | 2020-03-19 | cplee@uw.edu | Charlotte Lee | University of Washington | https://depts.washington.edu/csclab/ | Qualitative research study at the University of Washington to quickly identify, analyze, and share useful processes, actions, and best practices used by organizations to coordinate social distancing via remote collaborative working. Enduring knowledge about coordination in a complex organization during time of crisis. | Qualtiative - Online interviews and media | United States | Resilience | Information and guidance for organizatonal resilience and coordination to prepare for and support remote working helpful to social distancing | None yet | Planning now | |||||||||||||||||
16 | Planning | Emotional Contagion and Misperception on COVID-19 | 2020-03-19 | jlee284@ua.edu | Jiyoung Lee | University of Alabama | Do emotions go viral and become contagious through social media during the outbreak of COVID-19? How does emotional contagion among social media users increase misperception on COVID-19? | Survey and experiment | United States, South Korea | All Stages | Information for health officials, social media platforms | Jihyang Choi (Ewha Womans University) | Planning now | We study how social media users share their anxiety, fear, or anger through platforms and whether that contribute to misperception on COVID-19. | Understand how emotions play roles in misperception | ||||||||||||||||
17 | Pre-Print | Mindfulness Buffers the Impact of COVID-19 Outbreak Information on Sleep Duration | 2020-03-19 | bizjayan@nus.edu.sg | Jayanth Narayanan | National University of Singapore | https://scholar.google.com/citations?user=aK3nKDUAAAAJ&hl=en | How mindfulness may help mitigate the negative effects of information about the outbreak | Field experiment | China | Resilience | Evidence-based intervention to help people cope with the anxiety of the outbreak | Michelle Zheng, CEIBS; Jingxian Yao, NUS | 20/02/2020 to 02/03/2020 | We examine whether a daily mindfulness practice can help people cope better with quarantine during the COVID-19 outbreak. We conducted a study in Wuhan, China between February 20th, 2020 and March 2nd, 2020. We randomly assigned participants to either a daily mindfulness practice or a daily mind-wandering practice. Mindfulness reduced daily anxiety and stress. In addition, the sleep duration of participants in the mindfulness condition was less impacted by the increase of infections in the community compared with participants in the control condition. | Provide evidence for an intervention that can help communities cope with the outbreak | Sleep Duration; Anxiety & Stress | https://psyarxiv.com/wuh94 | |||||||||||||
18 | Data Collection | The Pandemic Project: A Study of People during COVID-19 | 2020-03-20 | pennebaker@utexas.edu | James Pennebaker | The University of Texas Austin | https://utpsyc.org/covid19/index.html | How do pandemics such as COVID-19 affect people’s everyday lives and social relationships? | Online survey | USA, Italy (possibly more) | Resilience | Immediate impact: Providing personalized feedback to people about their everyday social lives. Future impact: Understanding how we can boost and maintain social connections during upheavals such as pandemics | Ashwini Ashokkumar (UT Austin), Laura Vergani (Univ. of Milan) | ongoing | We are developing an international survey to understand the many ways in which COVID-19 might be affecting our everyday lives. We are interested in how the pandemic affects our daily life patterns, social relationships, and mental health. We are also interested in how these patterns shift over time in various countries as a function of the pandemic’s trajectory and societal response (e.g., lockdowns). | ||||||||||||||||
19 | Data Collection | Sinophobia Tracker during COVID-19 | 2020-03-20 | jw2623@nyu.edu; llilizhangli@gmail.com | Jing WANG, Li LI | NYU Shanghai, University of Tübingen | https://sites.google.com/view/sinophobia-tracker/home | How the COVID-19 fuel Sinophobia and its spill-over effects around the world? What's the role of media? | |||||||||||||||||||||||
20 | Analysis | #COVID-19 and information sharing on Twitter | 3/20/2020 | abkgpt@rit.edu | Ammina Kothari | Rochester Institute of Technology | What information/misinformation about COIV-19 is being shared on Twitter? | Content analysis of tweets and network analysis of Twitter users | World | All Stages | Kimberely Walker and Kellie Burns (University of South Florida) | On-going | We examine what Twitter users are sharing about COVID-19 and the scale of information diffusion | ||||||||||||||||||
21 | Planning | Unpacking the Role of Social Media in Exacerbating Anxieties and Psychological Downturns During the COVID-19 Pandemic: Algorithms and Interventions | 3/20/2020 | munmund@gatech.edu | Munmun De Choudhury | Georgia Institute of Technology | www.munmund.net; www.socweb.cc.gatech.edu | Develop computational artifacts to tackle the negative psychological impacts, including experiences of stress and anxiety, in communities as a consequence of this pandemic. | Machine learning; natural language analysis; intervention design; field study; media psychology theory; health communication theory | United States | Resilience | Lower barriers by providing tools to relevant stakeholders in an unprecedented manner to tackle the psychological impacts and consequences of exposure to and experience of these unprecedented events | Srijan Kumar (Georgia Tech); Patricia Cavaros-Rehg (Washington University); Dhavan Shah (University of Wisconsin-Madison); Sijia Yang (University of Wisconsin-Madison) | Planning | The outbreak of the coronavirus disease 2019 (COVID-19) has been stressful for many people and communities. These psychological responses and downturns may stem from concern and worry about one’s own health status and that of their loved ones who may have been exposed to COVID-19, disruption in regular routines leading to changes in work, sleep or eating patterns, economic hardships and unusual volatility in financial markets, forced geographical displacement or confinement, or concerns about worsening of chronic health problems. Furthermore, people can become more distressed if they see repeated images or hear repeated reports about the outbreak in the media, including social media; they can be highly influenced by “immediacy”. Still, the psychological effects of (the real or perceived) threat due to the coronavirus given today’s new (social) media-saturated environments have not been systematically studied. Adopting a media psychology and health communication lens, we seek to develop computational artifacts to tackle the negative psychological impacts, including experiences of stress and anxiety, in communities as a consequence of this pandemic. | ||||||||||||||||
22 | Pre-Print | The effectiveness of moral messages on public health behavioral intentions during the COVID-19 pandemic | 3/20/2020 | J.A.C.Everett@kent.ac.uk | Jim Everett | University of Kent | http://www.crockettlab.org | Which type of moral justifications will be most effective on increasing public health behavioral intentions? | Survey experiment | United States | Prevention | Inform the kind of public health messaging which will be most effective in slowing the spread of COVID-19 in the US | Clara Colombatto, Vlad Chituc, William J. Brady, Molly J. Crockett (Yale University) | Data collected on 3/15-16 | A sample of representative US participants (N=1032) viewed messages containing deontological, virtue-based, utilitarian, or non-moral justifications for adopting social distancing behaviors during the COVID-19 pandemic. Consistent with our pre-registered predictions, deontological messages had modest effects across several measures of behavioral intentions, second-order beliefs, and impressions of the messenger, while virtue-based messages had modest effects on personal responsibility for preventing the spread. Overall, our preliminary results suggest that public health messaging focused on duties and responsibilities toward family, friends and fellow citizens will be most effective in slowing the spread of COVID-19 in the US. | investigating the effectiveness of messages inspired by three major moral traditions on public health behavioral intentions | self-reported intentions to wash hands, avoid social gatherings, self-isolate, and share health messages; beliefs about others’ intentions; impressions of the messenger’s morality and trustworthiness; beliefs about personal control and responsibility for preventing the spread of disease | https://osf.io/am4xt/ | https://osf.io/am4xt/ | https://psyarxiv.com/9yqs8 | |||||||||||
23 | Data Collection | Effect of social distancing on well-being & spontaneous thought | 3/20/2020 | dtamir@princeton.edu | Diana Tamir | Princeton University | http://psnlab.princeton.edu | Does social isolation change the content of spontaneous thought? Which on/off-line social behaviors protect against loneliness during social distancing? How does social isolation change feelings of connection to close vs. far others? | Survey experiment | United States | Resilience | Identify social behaviors that protect against loneliness; understand the effects of isolation vs. loneliness on the content of spontaneous thought, pro/social motives, and social connection to close/distant others. | Judith Mildner (Princeton), Xuan Zhao (U Chicago), Jamil Zaki (Stanford) | Data collection in progress (starting 3/23) | |||||||||||||||||
24 | Planning | Chinese and US COVID-19 Conspiracy Theories and Behavioral Responses | 3/20/20 | vecchiato@stanford.edu | Alessandro Vecchiato | Stanford University | https://pacscenter.stanford.edu/research/program-on-democracy-and-the-internet/ | How conspiracy theories regarding US and China spread, and what impact have on beliefs and behavior? | Content analysis on social media and WeChat + survey experiment | US and China | All Stages | Identifying characteristics of spread of conspiracy theories and main impacted beliefs and behaviors. | none yet! | ASAP | |||||||||||||||||
25 | Planning | Choice, Cognition, and Affect During the 2020 Pandemic | 3/24/2020 | peter.sokol-hessner@du.edu | Peter Sokol-Hessner | University of Denver | http://www.sokolhessnerlab.com/ | How do changes in infection rates, deaths, and county-level health events change self-reported affect, cognitive control, and risky decision-making? | Online surveys & tasks | United States | All Stages | Connect county-level pandemic-related events to affective and behavioral outcomes for individuals. | Kimberly Chiew (DU); Hayley Brooks (DU); Chelsey Pan (DU); Ann Butler (Wash. Univ. St. Louis) | ASAP | It's unclear how the large-scale effects of chronically stressful and/or anxiety-producing events like the 2020 pandemic alter how people feel and behave. We seek to identify how county-level pandemic-related events (e.g. number of confirmed cases; number of deaths; governmental actions) and changes in those events shape individuals' reports of affect and stress, social connectedness and loneliness, and the actions and decisions people make (by identifying changes in the component processes of risky monetary decision-making; and components of cognitive control, e.g. reactive vs. proactive control). | Collect epidemiological data on pandemic events at the county level across the US on each day and connect those events and changes in events to individuals' affective states and actions. | Risky decision-making processes (risk attitudes, loss aversion, context effects), cognitive control processes (reactive and proactive control), scales of social connectedness and loneliness, and scales measuring affect and stress. | ||||||||||||||
26 | Analysis | Responses to COVID-19 Misinformation Labeling on Social Media | 3/20/20 | cgeeng@cs.washington.edu | Christine Geeng | University of Washington | https://www.cip.uw.edu/ | Do social media users find COVID-19 misinformation labeling helpful? | Online survey | United States | Prevention | Franziska Roesner (UW); Jevin West (UW) | Recruit March 25 | We aim to study people’s perceptions of and experiences with (a) coronavirus-related misinformation on social media and with (b) the features social media platforms have deployed to attempt to mitigate this issue (e.g., linking explicitly to trusted sources when someone searches for “covid” on the platform, or labeling known misinformation). We aim to understand how effective these platform features are in changing people’s information consumption behavior in the face of coronavirus-related misinformation. We are also surveying what coronavirus rumors people have encountered. | Quantify impact of social media misinformation interventions | ||||||||||||||||
27 | Pre-Print | Misperceived Social Norms Driving Noncompliance with COVID-19 Preventative Behaviors | 5/20/20 | jlees@g.harvard.edu | Jeffrey Lees | Harvard University | http://www.intergroupneurosciencelaboratory.com/ | Is underestimating the strength/impact of social norms related to COVID-19 preventative behaviors associated with a decreased intention to engage in such behaviors? | Online Survey | United States, Israel | Prevention | Scalable social norms intervention that will increase preventative behavior compliance | Marius Vollberg (Harvard), Josh Creton (Harvard), Niv Reggev (Ben Gurion), Mina Cikara (Harvard) | Is underestimating the strength/impact of social norms related to COVID-19 preventative behaviors associated with a decreased intention to engage in such behaviors? If so, will an intervention informing individuals of their inaccurate beliefs about such social norms increase behavioral intentions to comply with experts’ guidelines? | Develop intervention that improves social norm perception accuracy and increase preventative behavioral intentions | https://psyarxiv.com/97jry | |||||||||||||||
28 | Data Collection | Effects of COVID-19 on stress and well-being of remote workers | 3/20/20 | gzs0043@auburn.edu | Gargi Sawhney | Auburn University | Examining the stress and health of remote workers as a result of COVID-19. Also, exploring the effects of working remotely on managing work and life outcomes. | Online survey | United States | All Stages | Effect on work-related policies and procedures | Data collection in progress | |||||||||||||||||||
29 | Data Collection | Adjusting to remote working as a response to COVID-19 | 3/21/2020 | phanish.puranam@insead.edu | Phanish Puranam | INSEAD | https://knowledge.insead.edu/blog/insead-blog/coronavirus-has-taken-remote-work-mainstream-now-what-13536 | The COVID pandemic has forced remote working on an unprecedented scale. This survey gathers descriptive self reported information on how individuals are adjusting to remote working. | Online survey | World wide | All Stages | Organizational adaptation to (and long term design) for remote collaboration | Marco Minervini (INSEAD) | Data collection in progress | Remote working has gradually drifted toward mainstream acceptance in recent years, but even the very best technologies still lack many of the properties of in-person communication. Early adopters of extensive remote work have been only a specific set of individuals or companies who chose to or could afford to accept these constraints. It would have been difficult to draw universally applicable conclusions based on this highly particular, self-selected group. COVID-19 has changed this by forcing a wide variety of people to work from home. Without the previous self-selection bias to corrupt the data, the scientific value of studying remote working habits outside the lab is much higher. | Provide a description of initial reactions of individuals forced into remote collaboration, cross-linked to their prior experience with remote collaboration, organizational role and collaboration technology used. | |||||||||||||||
30 | 3/21/2020 10:25:36 | Analysis | SNA Analysis of the Israeli Cases | 3/21/2020 | rgilad@bgu.ac.il | Gilad Ravid | Ben Gurion University of the Negev | https://in.bgu.ac.il/engn/iem/Pages/default.aspx | What Characterize the infections network? | Social Netoworks Analysis | Israel | Resilience | https://rpubs.com/giladravid/586626 | ||||||||||||||||||
31 | 3/21/2020 10:31:11 | Data Collection | Resilience factors to cope with COVID-19 | 3/21/2020 | gerit.pfuhl@uit.no | Gerit Pfuhl | UiT The Arctic University of Norway | https://sites.google.com/view/geritpfuhl-lab/news | Which factors contribute to maintaining mental health during the outbreak? | Survey, longitudinal | Norway, Germany, Israel, Brasil, Colombia | Resilience | Identifying protective factors (psychological) and actions | Niv Reggev (Haifa), Natalia Dutra (Universidade Federal do Rio Grande do Norte, Brazil) | 2020-03 | Measuring change in paranoia and global distress and whether these changes are driven by perceived risk, risk factors and protective factors as well as actions taken. | Option 1 | Paranoia score and global distress | https://docs.google.com/document/d/1A-LN3jfLIC2bDXJCjX97HOVejxdpxCONfaNuM0s4jMY/edit# | ||||||||||||
32 | 3/21/2020 10:55:19 | In IRB Review | Responses to emotional uncertainty as a function of the 2020 Pandemic | 3/21/2020 | mneta2@unl.edu | Maital Neta | University of Nebraska-Lincoln | https://psychology.unl.edu/can-lab/ | How does social isolation and uncertainty related to the pandemic affect our responses to emotional ambiguity? | Online task and surveys | United States | All Stages | To link societal uncertainty with indivudal-level biases in response to uncertainty | None yet. | Planning now | Our lab examines individual differences in the tendency to interpret emotional ambiguity as positive or negative (i.e., valence bias). We found that this valence bias is vulnerable to effects of stress and resilience (e.g., habitual reappraisal). Last year, we collected online data from adults ages 18-71 rating ambiguity in emotional faces, scenes, and words. We found that the valence bias generalized across stimulus categories. As a follow-up, we will examine responses to these stimuli from this same sample (longitudinal) and a new sample (cross-sectional) as a function of feelings about the pandemic (intolerance of uncertainty, loneliness, etc.) | Option 1 | We expect to find that people experiencing the greater isolation/fear/uncertainty will have a greater shift toward more negative ratings of ambiguity. | |||||||||||||
33 | 3/21/2020 11:31:32 | Data Collection | HOPE: How Democracies Cope with Covid-19: A Data-Driven Approach | 3/21/2020 | michael@ps.au.dk | Michael Bang Petersen | Aarhus University | https://www.carlsbergfondet.dk/en/News/News-from-the-Foundation/News/25-million-DKK-to-social-behavioral-research-during-the-Covid19-epidemic | What is the relationship between government decisions, media agenda and public behavior during the COVID-19 pandemic? | Surveys, data scraping, behavior tracing, interviews | Denmark, United States, UK, Sweden, Germany, France, Italy, Hungary | All Stages | Andreas Roepstorff (Aarhus University), Sune Lehmann (Danish Technical University), Rebecca Alder-Nissen (University of Copenhagen) | It is in the field and we will collect data throughout the crisis. | The project will investigate the relationship between government announcements, the media agenda and the behavior of the public and use this to understand and predict the evolution of the epidemic itself. In doing so, the researchers take advantage of the Corona epidemic taking place during the "big data" revolution, where it is now possible to gather detailed data during a crisis. The project collects data from several countries, international organizations and authorities, and thus developments in Denmark can be viewed in a global context. | Option 1 | |||||||||||||||
34 | 3/21/2020 12:45:12 | Planning | Organizing Online Communities of Practice in Response to COVID-19 | 3/21/2020 | seaneddington@ksu.edu | Sean Eddington | Kansas State University | How are academics organizing online in response to COVID-19 disruptions on college campuses? | Text Mining & Semantic Network Analysis | USA | Resilience | Contextualizes and understands online communities of practice | Caitlyn Jarvis (Purdue University) | 2020-10 | TBD | ||||||||||||||||
35 | 3/21/2020 12:51:58 | Data Collection | Pandemic and rumr debunking in Weibo | 3/21/2021 | yunyasong@hkbu.edu.hk | Celine Song | Hong Kong Baptist University | Looking at rumor-dibunking diffusion network in Chinese social media | digital data collection | China | Resilience | Understand the rols of differen stakeholders in rumor-debunking diffusion | K. Hazel Kwon (Arizona State University) | 2020-08 | Option 1 | ||||||||||||||||
36 | 3/21/2020 13:30:57 | Data Collection | Study of the Corona Virus Simulator | 3/21/2020 | dalsgaard@cavi.au.dk | Peter Dalsgaard | Aarhus University | http://www.peterdalsgaard.com | How can interactive simulations help people understand a complex phenomena such as the spread of the corona virus, the measures to contain it, and the impact it may have on health services? | Survey, interactive simulation | Global | All Stages | The study will help us better understand if and how interactive simulations can help us communicate about complex phenomena such as the virus. | Thomas Riisgaard Hansen (Aarhus University), Christian Dindler (Aarhus University) | 2020-05 | The study is based on an explorable explanation, ie. an interactive simulator with accompanying explanations of the key parameters in the spread of virus, the measures to contain it, and the impact is has on hospitals. Participants fill out a survey about their understanding and perceptions of the virus epidemic, they then try the simulator, and then they fill out another survey, which goes more into depth with how the simulation may have changed their understanding and perception of the epidemic. | Option 1 | Qualitative and quantitative insights into whether the interactive simulation affected people's understanding and perception of the epidemic. | https://forms.gle/gEMKXkj2sj1M99Jy8 | ||||||||||||
37 | 3/21/2020 15:15:19 | Data Collection | Scaling Care, Compassion, and Resource Provision within Digital and Physical Communities | 3/21/2020 | toombsa@purdue.edu | Austin Toombs | Purdue University | https://c-cilab.com/ | What strategies are communities employing to distribute resources, compassion, and care among local and global populations? | digital ethnography (Reddit, Facebook, Twitter), content analysis, interviews (with community managers and moderators) | United States, Global | Resilience | Identification of best practices for distributing resources, compassion, and care. | Colin Gray (Purdue University) | We are analyzing conversations and resource sharing in online groups with varying foci, and we will be interviewing those who are performing the labor to ensure resources are distributed. We are welcoming collaborators and are setting up an open office hour for people to join and talk about this project. | Option 1 | |||||||||||||||
38 | 3/21/2020 15:42:45 | Published | COVID19 Infodemics Observatory | 3/21/2020 | mdedomenico@fbk.eu | Manlio De Domenico | Fondazione Bruno Kessler | http://comunelab.fbk.eu/ | What is the exposure to unreliable news and misinformation on Twitter worldwide? | Online data streaming | World | All Stages | Development of an infodemic risk index to assess the spatio-temporal exposure to unreliable news | Riccardo Gallotti (FBK), Francesco Valle (FBK), Nicola Castaldo (FBK), Pier Luigi Sacco (FBK/IULM/Harvard) | 2020-03 | About 100M public messages have been collected and analyzed to understand the digital response in online social media to COVID-19 outbreak. Specifically, we used machine learning techniques to quantify: COLLECTIVE SENTIMENT & PSYCHOLOGY: lexicon-based and rule-based emotional and psychological state SOCIAL BOT POLLUTION: The fraction of activities due to social bots and the exposure of the Twitterverse to unreliable news NEWS RELIABILITY: the fraction of URLs pointing to reliable news and scientific sources | Option 1 | http://covid19obs.fbk.eu/ | |||||||||||||
39 | 3/21/2020 22:36:34 | Data Collection | CoronaNet: COVID-19 Government Response Tracker Database | 3/22/2020 | cindy.cheng@hfp.tum.de; rmk7@nyu.edu | Cindy Cheng; Robert Kubinec | Hochschule für Politik München, Technical University of Munich; New York University Abu Dhabi | http://www.cindyyawencheng.com | We want to know how country-level factors, particularly government policies, may impact the spread of the disease. How has government policy toward COVID shaped the spread of the COVID pandemic? | We are employing Bayesian statistical analysis to empirically model the infection rate of the virus as a function of observed case counts, tests and government responses such as travle bans and social distance measures (i.e., using much simpler models than the ODE models of the virus' transmission). Our aim is to provide some understanding of how effective government responses have been so far given observed data. | All countries | All Stages | We intend to provide early estimates of whether government responses are actually working or not. | Luca Messerschmidt (Technical University of Munich); Juan Barcelo (NYU Abu Dhabi) | 2022-03 | Which government policies have been most effective at mitigating the health impacts of COVID-19? This study will investigate how the the nature of the response, timing of the response, the domestic vulnerability to the COVID-19 virus have effected the health outcomes from the COVID-19 pandemic at both the country level and the world level. | Option 1 | We want to have country-level responses to the epidemic by the wide variety of policy types for all countries in the world, though we will initially focus on countries most affected by the virus. | https://coronanet-project.org | ||||||||||||
40 | 3/22/2020 3:24:36 | Analysis | IN Community Preparedness for COVID19 Pandemic | 3/22/2020 | Jessica.Pater@parkview.com | Jessica Pater | Parkview Health | http://www.jesspater.com | What are the deficits (by zip code) within our community from a public health perspective during a time of pandemic? | Survey | United States | Resilience | Provide decision makers in our region data for decisions on critical resources/infrastructure | Tammy Toscos (Parkview), Dr. Deborah McMahan (Allen County Health Commissioner) | 3/13/2020 | So far we have collected over 5000 survey responses allowing us to gauge financial instability, health needs, childcare/adultcare/eldercare needs, what is considered as essential, levels of stress and more to help guide resource allocation for the health commissioner and other various service providers across the region and state. | Option 1 | ||||||||||||||
41 | 3/22/2020 5:37:46 | Data Collection | The EU Center of Excellence for Research in Social Media and Information Disorder (EU REMID) - SOMA | 3/23/2020 | anjabechmann@cc.au.dk | Anja Bechmann | Aarhus University | http://www.datalab.au.dk/euremid | What is the relationship between collective moral panic and the spread of misinformation (as defined by links to alternative sources and debunked stories)? | Media, communication and behavioral data | Europe | Resilience | To understand infodemic logics and how to secure trustworthy information environments | Research network for northern Europe and SOMA research partners - see datalab.au.dk/euremid | Ongoing - H2020 project ends 2021-12 | Option 1 | |||||||||||||||
42 | 3/22/2020 6:33:34 | Planning | The Effects of Disease on the Tightness-Looseness of Cultures | 3/22/2020 | giulia.andrighetto@istc.cnr.it, aron.szekely@carloalberto.org | Giulia Andrighetto, Aron Szekely | ISTC-CNR, Institute for Futures Studies, Malardalens University, Collegio Carlo Alberto | http://labss.istc.cnr.it/ | Does disease threat (due to COVID-19) increase the tightness of cultures? | Cross-country survey | 36 countries anticipated. | All Stages | Help understand how cultures respond to COVID-19 and future epidemics and anticipate potential future social consequences. | Primary collaborators: Michele Gelfand (University of Maryland), Kimmo Eriksson (Stockholm University), Andrea Guido (Institute for Futures Studies, ISTC-CNR) | 2020-03 | The spread of COVID-19 makes it urgent to understand how it impacts cultural dynamics to inform the public on the best behavioral strategies for survival. Here we propose a large-scale study of how threat impacts the tightening of communities and with what consequences. Our three core questions are: (1) Does disease threat increase the perceived and desired tightness of cultures? (2) Does tightness impact the effectiveness of community response? (3) Does the tightening of cultures have longer-term social consequences? Data on these questions are critical to understanding how cultures respond to COVID-19, future epidemics, and potential social consequences. | Option 1 | Among others: change in tightness-loosesness (general and situation-specific), community response, and social consequences (e.g. civil liberties). | |||||||||||||
43 | 3/22/2020 6:39:57 | In IRB Review | Transitioning to Teaching Online During COVID-19 | 3/22/2020 | kek72@drexel.edu | Kristy Kelly | Drexel University | https://drexel.edu/soe/faculty-and-staff/faculty/Kelly-Kristy/ | How does the shift to teaching online change teachers' perspectives of their students, their beliefs about successful teaching and learning, and the teaching profession more generally? | survey, interviews, focus-groups, and participant-observation of teacher's online communities of practice | Any | Resilience | Kathlyn Elliott (Drexel University), Katie Mathews (Drexel University) Yiyun Fan (Drexel University | 2020-03 | The purpose of this research is to understand the experiences of teachers involved in moving courses/schools to online formats during the context of COVID-19. We are particularly interested in the process of transitioning to online, how teachers adapt professionally and personally, what challenges they experience, and the strategies they devise to overcome them. We are also interested in how these experiences shape teachers' perspectives of teaching and learning. | Option 1 | |||||||||||||||
44 | 3/22/2020 8:57:18 | Planning | Applying the canonical theory to the COVID-19 crisis | 3/22/2020 | ccioffi1571@gmail.com | Claudio Cioffi-Revilla | George Mason University | https://socialcomplexity.gmu.edu/faculty/csc-faculty-dr-cioffi/ | Can the current COVID-19 crisis be explained by the canonical theory of sociopolitical complexity? Alternatively, does this crisis refute or support the theory? | Theory-based formal modeling grounded on empirical data, and formal analysis both mathematical and computational | US first, then Italy and possibly China | All Stages | Understand the value of canonical theory for the current crisis, possibly providing actionable insights or forecasts. | None initially. Possibly some later. | 2020-04 | Canonical theory explains the evolution of sociopolitical complexity (trajectory of a polity) in terms of responses or lack thereof to crises (high risk situational changes in the lifetime of a polity). The theory has strong support based on numerous previous tests. The current crisis offers an opportunity to obtaining new understanding of the current crisis and also advance the theory. | Option 1 | Events since the onset fit the "fast process" model of the theory in terms of opening cycles. | https://www.researchgate.net/publication/272302663_A_Formal_Theory_of_Politogenesis_Towards_an_Agent_Simulation_of_Social_Complexity_Origins | ||||||||||||
45 | 3/22/2020 9:33:54 | Pre-Print | The Effect of Mislabeling COVID-19 as "Chinese Virus"" | 3/22/2020 | cxu1@seattleu.edu | Chengxin Xu | Seattle University | https://www.chengxinxu.info/ | Does the label "Chinese Virus" exaggerate the social stigmatization against Chinese immigrants? | Survey experiment | United States | All Stages | The evidence provides guidelines for public communication during emergency such as COVID-19. | Yixin Liu (Florida State University) | 2020-3 | In this study, we take the recent outbreak of COVID-19 (known as the coronavirus) as a case and examine whether mislabeling the virus as “Chinese Virus” by important political leaders will trigger social stigmatization against Chinese immigrants and whether such miscommunication can help the current administration to avoid public blame for the virus outbreak. According to theories regarding the social construction of stigma, we suspect that mislabeling COVID-19 as “Chinese Virus” may lead to severe stigmatization against Chinese communities in the U.S., and the effect is expected to be heterogeneous based on people’s political standpoint. Meanwhile, the mislabel may benefit the current administration by avoiding the public blame for its responsibilities in disease control and emergency management. | Option 1 | Stigmatization against Chinese immigrants; blameworthiness of the Federal Government | https://psyarxiv.com/j4t2r | ||||||||||||
46 | 3/22/2020 12:35:42 | Data Collection | Social and Behavioral Consequences of COVID-19 | 3/22/2020 | redbird@northwestern.edu | Beth Redbird | Northwestern University | http://www.coronadata.us/ | 125 question survey tracking public opinion, attitude, behavior, social networks, and | survey with follow up panel | United States | All Stages | Track DAILY changes in how people feel and behave | Several at Northwestern | 2020-03 | This project surveys the public opinions, attitudes, and behaviors of thousands of Americans in order to map and track the social disruptions caused by the outbreak, economic shutdowns, and responding public policies. The project will enhance understanding of (1) effectiveness of public policy in changing individual behavior to conform with public health recommendations; (2) the ways in which different forms of public communication create understanding about the pandemic and distribute public health recommendations, and (3) social and psychological stress caused by social distance and quarantine. | |||||||||||||||
47 | 3/22/2020 13:16:56 | Published | Global health crises are also information crises: a call to action | 3/22/2020 | boxie@utexas.edu | Bo Xie | The University of Texas at Austin | https://www.ischool.utexas.edu/~boxie/index.html | Opinion paper | All Stages | Changes in information science research, education, and practice | See the published article. | Published online first on March 13, 2020 | In this opinion paper we argue that global health crises are also information crises. Using as an example the coronavirus disease 2019 (COVID-19) epidemic, we (1) examine challenges associated with what we term “global information crises”, (2) recommend changes needed for the field of information science to play a leading role in such crises, and (3) propose actionable items for short- and long-term research, education, and practice in information science. | https://asistdl.onlinelibrary.wiley.com/doi/10.1002/asi.24357 | ||||||||||||||||
48 | 3/22/2020 13:23:53 | In IRB Review | Person to Person Health Interview Study - COVID-19 Rapid Response Research | 3/20/2020 | blperry@indiana.edu | Brea Perry | Indiana University | https://precisionhealth.iu.edu/current-studies/person-to-person.html | What are the secondary social, economic, behavioral, and mental health consequences of COVID-19 and related social distancing policies? | representative survey | United States | Recovery | Better prepare for future pandemics by creating programs or policies that mitigate secondary adverse outcomes. | Bernice Pescosolido (Indiana University) | 2020-03 | It is critical to determine the broader health implications, beyond COVID-19 infection outcomes, of global pandemics, by monitoring secondary health outcomes like psychological distress, mental illness, and substance abuse. By leveraging the ongoing Person to Person (P2P) Health Interview Study, the P2P COVID-19 Rapid Response Study will provide an understanding of participants’ views and behaviors related to COVID-19, contemporaneous to the epidemic. To accomplish this, we will re-contact P2P participants, who were drawn from a probability sample of Indiana residents, for additional data collection. Up to 1,600 participants will complete a telephone survey about their social distancing and other health behaviors, perceptions of risk, economic hardship, social isolation, stress, and mental health outcomes. | Depression symptoms, anxiety symptoms, stress, financial hardship, substance abuse outcomes, social isolation | ||||||||||||||
49 | 3/22/2020 15:02:17 | Data Collection | Panel survey of attitudes towards Corona-19 and quarantine in Ukraine | 3/22/2020 | tbrik@kse.org.ua | Tymofii Brik | Kyiv School of Economics | https://tymobrik.com | What do people do in self-isolation? | Panel survey, online | Ukraine | Resilience | Social relevance - we collect data to help government in communication and resource allocation; Academic - how people cope | Gradus - startup for online panel using smartphones | 2020-01 | We started collecting data on January 31. Our online panel is representative for adult urban population of Ukraine. We keep track of awareness and behaviour about corona-19 and quarantine. | To help government and local communities in allocating resources; to learn how people cope with the crisis. | Awareness about quarantine and hygiene measures; attitudes about democracy, economy; stress | https://www.liga.net/society/articles/80-gotovy-i-dalshe-hodit-na-rabotu-bolshoy-opros-chto-dumayu-ukraintsy-o-koronaviruse?fbclid=IwAR1sQfmeePSxwB89hUE3wGrQ-9vckKzvNgBul7G_0JAb8hT8d05-0RpO5X0 | ||||||||||||
50 | 3/22/2020 20:25:22 | In IRB Review | Public health behavioural surveillance of COVID-19 | 3/23/2020 | alexander.saeri@monash.edu | Alexander Saeri | Monash University, Australia | https://www.behaviourworksaustralia.org | What is the prevalence of COVID-19 preparedness and protective behaviours and what are the drivers and barriers for adoption of these behaviours? | survey, repeated cross-sectional and longitudinal | Australia | All Stages | Govt and public health decision-makers tailor policies & messages for health behaviour change | 2020-03 | The EAARC and international researchers are conducting a research project to understand why citizens do/don’t enact key public health behaviours that can slow the spread of the novel coronavirus. We will conduct a “living survey” -- with both repeated cross-sectional and longitudinal sampling -- to track behaviour and its determinants over time. Each time the survey is updated with new data, we will generate an updated report about the prevalence of protective behaviours, their most important drivers or barriers, a break-down by key demographics, and trends over time. We will also test the effectiveness of different interventions to encourage relevant behaviours. | Our vision for this project is an international and continuously-updated dataset that can provide local insights to help government and public health officials make better decisions to fight against the novel coronavirus. | Protective behaviours, diagnosis of behaviours (eg using COM-B), demographics, knowledge of COVID-19, worry and distress, information seeking | https://docs.google.com/document/d/1dSD6y5U5eUctNNE-SFJOyNeGkPzOCYbgM07r8aRAU44/edit# | |||||||||||||
51 | 3/23/2020 1:31:27 | Planning | Social Distancing of Symptomatic Cases within Households as A Non-pharmaceutical Intervention | 3/23/2020 | info@dataforgood.science | Rudi GJ Westendorp | University of Copenhagen | https://www.dataforgood.science/ | Do (secondary) cases with COVID-19 infection from larger households suffer higher morbidity and mortality than index cases? | register-based data analysis | Denmark and possibly other countries depending on data | Prevention | Explore whether social distancing of symptomatic cases within households can minimize morbidity and mortality | Thorkild Sørensen (University of Copenhagen), Peter Aaby (University of Copenhagen) | Explore whether social distancing of symptomatic cases within households can minimize morbidity and mortality | https://www.dataforgood.science/corona/ | |||||||||||||||
52 | 3/23/2020 4:00:12 | Data Collection | Moral commitment and the weight of intentions and consequences in moral judgment. The case of covid19 pandemic in France. | 3/23/2020 | antoine.marie.sci@gmail.com | Antoine Marie | Institut Jean Nicod, Ecole Normale Supérieure; Université Polytechnique Mohammed VI | http://www.institutnicod.org | How does moral concern for covid19 modulate the weight given to good intentions vs. pragmatic efficiency in fighting the disease when judging third parties' actions? | survey Qualtrics, participants: Foule Factory (~French MTurk) | France | Prevention | documenting the relationship between moral commitment/worry and type of moral judgment | Antoine Marie (Institut Jean Nicod), Brent Strickland (Institut Jean Nicod) | 2020/03 | We examine how French participants assess the moral praiseworthiness of pairs of policy decisions made by a prominent actor (a Health minister) that are either motivated by the “good intention” to serve a publicly cherished value (fighting cover 19 by massively investing in basic health material) but turn out to reach that objective very poorly (Altruistic intent/Low Impact), or by a selfish intention that explicitly neglects the value at stake but ends up serving it dramatically as its side effect (Selfish intent/High Impact). Based on prior studies using similar design, we predict greater concern for/commitment to fight covid19 to lead to greater praise of good intentions, but are agnostic as to its effect on sensitivity to positive consequences (as past research allow for conflicting predictions) | documenting the relationship between moral commitment/worry and type of moral judgment; the goal is to acquire insight about the type of moral sensitivity that commitment/radicalism/polarization elicit | IV: anxiety about coronavirus' consequences for self, France, world; relative seriousness of coronavirus compared to other 21st world epidemics; DV: moral praiseworthiness of actions from CEOs and ministers relevant to fighting coronavirus; reported willingness to interact/have as President the agent performing action | |||||||||||||
53 | 3/23/2020 4:35:40 | Data Collection | The balcony party during the coronavirus | 3/23/2020 | hila.gvirts@gmail.com | Hila Gvirts | Ariel University | The balcony party – A battle to stay connected during the coronavirus outbreak | survey | Israel, Europe | Resilience | ||||||||||||||||||||
54 | 3/23/2020 5:10:09 | Data Collection | COVID-19 related emotion, behaviour and choice | 3/23/2020 | t.sharot@ucl.ac.uk | Tali Sharot | UCL | http://affectivebrain.com | Effects of COVID-19 on emotions and behaviour | survey | US, Europe, UK, Middle East | All Stages | |||||||||||||||||||
55 | 3/23/2020 5:50:57 | Pre-Print | Optimistic beliefs about the personal impact of COVID-19 | 3/23/2020 | c.korn@uke.de | Christoph Korn | University Medical Center Hamburg-Eppendorf | http://www.dnhi-lab.org/ | Do people show an optimism bias with respect to getting infected with COVID-19 and with respect to infecting others (if infected themselves) with COVID-19? | Online survey | UK, USA, Germany | Prevention | If people are overly optimistic about COVID-19, they might not stick to best practices | Benjamin Kuper-Smith (University Medical Center Hamburg-Eppendorf), Lisa Doppelhofer (University Medical Center Hamburg-Eppendorf), Yulia Oganian (University of California, San Francisco), Gabriela Rosenblau (George Washington University) | 2020-03 | Slowing the spread of COVID-19 requires people to follow best practices for social distancing and hygiene. On 16.03.2020, we tested individuals’ beliefs about infection probabilities and abilities to practice social distancing. Participants show an optimism bias: they estimate the probability of getting infected with the virus, and of infecting others if infected themselves as lower for themselves than for someone similar to them. Optimism is linked to the estimated frequency of direct social contacts and to the necessity and ease of reducing these. Our ongoing studies assess how these biases change over time, and how adaptive they are. | 1) To test whether people show optimistic biases about the personal impact of getting/infecting others with COVID-19 2) to test how this changes over time 3) to test how it links to reducing social contacts | Comparative optimism for infections with COVID-19: participants estimated probability of getting infected and of infecting others for themselves and for someone like them. | https://psyarxiv.com/epcyb/ | ||||||||||||
56 | 3/23/2020 7:25:50 | Analysis | Responses to a pandemic across the political landscape | 3/23/2020 | nicholaraihani@gmail.com | Nichola Raihani | UCL | http://seb-lab.org | How does concern about & behavioural responses to COVID19 vary across political spectrum and with variation in prosocial behaviour? | survey & experiment | UK, USA | Prevention | Hopefully showing how people's relative concern for society versus 'me and mine' varies across the political divide. Also details how concern affects behavioural measures taken (and those that would be supported). | Lee De Wit (Cambridge); Gabriel Hudson (UCL) | 2020-04 | The project aims to explore what novel behaviours people are taking in response to COVID-19 and whether these behaviours can be best understood as 'prosocially-motivated' or if they better reflect a self-interested desire not to catch the disease. I'm also interested in the development of these attitudes over time, to explore whether preventive behaviours become 'moralised'. To that end, I have collected one wave of data on 12 March and will collect a second wave tomorrow / next day. | Understanding the motives underpinning prosocial preventive action in the case of COVID-19. | Relative societal concern; special measures taken; special measures that would be supported; prosocial behaviour (giving X out of a £/$100 prize) | |||||||||||||
57 | 3/23/2020 8:37:33 | Data Collection | The effects of Corona on the German public discourse | 3/23/2020 | marchannappel@uni-koblenz.de | Marc Hannapel | Universität Koblenz-Landau | https://www.uni-koblenz-landau.de/de/koblenz/fb1/institut-soziologie/team/marc-hannappel/marc-hannappel | How do newspaper versus Twitter discourses differ in the Corona crisis and why? | qualitative content analysis and computational text analysis | Germany | All Stages | To evaluate crisis communication by governments by their inter-medial effects | Viola Dombrowski (Universität Koblenz-Landau), Oul Han (Universität Koblenz-Landau), Marc Hannappel (Universität Koblenz-Landau), Matthias Kullbach (Universität Koblenz-Landau), Lukas Schmelzeisen (Universität Koblenz-Landau) | 2020-10 | By using governmental and NGO data as baseline, we capture how the inter-medial responses differ in reaction to official data in face of a possible global pandemic. Firstly, we will utilize an iterative keyword-selection method between data retrieval and content analysis in order to collect the Twitter data. Then we will map the discursive structure through the computational analysis of keywords, hashtags, and users, which we use to retroactively identify pivotal points of the pandemic. Finally, in order to prevent misinterpretation about the transformation of discourse, we validate results with a sociological discourse analysis. All findings will be interpreted together and embedded into a theoretical framework. | By combining qualitative and quantitative text analysis, we capture and analyze the spectrum of alternative interpretations and narratives in inter-medial comparison. | ||||||||||||||
58 | 3/23/2020 9:05:48 | Published | Comorbidity Factors (such as heart disease and diabetes) Influence COVID-19 Mortality More Than Age | 3/23/2020 | molle@chapman.edu | Andrea Molle | Chapman University | Testing the hypothesis that age is spuriously correlated with mortality. Testing the hypothesis that co-morbidity factors are more predictive of nefarious outcome | Statistical on secondary data | Italy, United States, China | Prevention | There are significant public policy implications to our quarantine and triage strategies. | Steven Gjerstad (Chapman University) | The global reaction to the COVID-19 epidemic has rested on a critical assumption, that all persons over the age of 60 face an unacceptable risk of death if they are infected with the virus. Recent evidence from a detailed analysis of individual Chinese, American, and Italian patient data clearly indicates that this assumption is incorrect. Our research indicates that only 0.8% of all coronavirus-related deaths in Italy involved otherwise healthy individuals. The remaining 99.2% of deaths involved individuals who had at least one, and often at least 3 other illness factors. | Design better prevention and treatment policies | http://www.startinsight.eu/en/comorbidity-factors-covid19/ | http://www.startinsight.eu/en/comorbidity-factors-covid19/ | ||||||||||||||
59 | 3/23/2020 9:42:51 | Pre-Print | Changes in risk perception and protective behavior during COVID-19 | 3/23/2020 | tobywise@caltech.edu | Toby Wise | Caltech | https://www.deanmobbslab.com/ | How does risk perception influence engagement in protective behavior? | Survey | USA | Prevention | Explaining how risk perception influences engagement in protective behaviors | Tomislav Zbozinek (Caltech), Giorgia Michelini (UCLA), Cindy Hagan (Caltech), Dean Mobbs (Caltech) | 2020-03 | https://github.com/tobywise/covid19-risk-perception | https://psyarxiv.com/dz428 | ||||||||||||||
60 | 3/23/2020 9:50:08 | Pre-Print | https://psyarxiv.com/y2cg5 | 3/23/2020 | sp@psy.au.dk | Stefan Pfattheicher | Aarhus University | http://pure.au.dk/portal/en/sp@psy.au.dk | How can we predict and promote physical distancing during the COVID-19 pandemic? (Empathy!) | survey, experiment | US, UK, Germany | Prevention | Promoting physical distancing toward slowing the spread of the COVID-19 pandemic. | Laila Nockur (Ulm University), Robert Böhm (Copenhagen University), Claudia Sassenrath (Ulm University), Michael Bang Petersen (Aarhus University) | 3/17/2020 - 3/20/2020 | In three pre-registered studies that include samples from the US, the UK, and Germany (total N = 2,192) collected at the beginning of the outbreak, we show that (i) empathy is indeed a basic motivation for physical distancing, and (ii) inducing empathy for those most vulnerable to the virus promotes the motivation to adhere to physical distancing. | The present studies thus highlight one important tool for policymakers in promoting physical distancing toward slowing the spread of the COVID-19 pandemic. | (Motivation for) physical distancing | https://psyarxiv.com/y2cg5 | https://psyarxiv.com/y2cg5 | https://psyarxiv.com/y2cg5 | ||||||||||
61 | 3/23/2020 9:59:24 | Data Collection | Simple calculations on how life expectancy is affected by COVID-19 | 3/23/2020 | martin.kolk@sociology.su.se | Martin Kolk | Stockholm University | https://www.su.se/profiles/mkolk | How is life expectancy affected by COVID-19 mortality? | Life tables, analytical calculations | Sweden | Resilience | Simple way to check societal impact of COVID-19 | Life expectancy | https://osf.io/93bwg/ | https://osf.io/93bwg/ | |||||||||||||||
62 | 3/23/2020 10:12:25 | Planning | The impact of Covid-19 on the spread of Anti-Asian sentiment | 3/23/2020 | jaeyeonkim@berkeley.edu | Jae Yeon, Kim | University of California, Berkeley | https://jaeyk.github.io/ | To what extent and in what form has Covid-19 influenced the spread of anti-Asian sentiment? | Web scraping + computational text analysis | United States | Recovery | The study will be valuable in understanding how the outbreak changed the social relationships and norms. | NA | 2020-08 | This study examines how Covid-19 influenced the spread of anti-Asian sentiment in the United States through web scraping and computational text analysis. The study will be valuable in understanding how the outbreak changed the social relationships and norms. | Examining how the virus outbreak transformed one key aspect of the social relations | The change in anti-Asian sentiment (could be Chinese specific or broad) | |||||||||||||
63 | 3/23/2020 10:14:30 | Data Collection | Diffusion of Fear and Coronavirus: Tracking Individual Responses Over Time and Space | 3/23/2020 | kfitzpa@uark.edu | Kevin Fitzpatrick | University of Arkansas | https://cfi.uark.edu | Is fear diffused differently across time and space as it relates to infectious disease pandemics like the coronavirus? | National survey | United States | Resilience | Our hope is a more complete understanding of the micro-macro level indicators of fear | Casey Harris University of Arkansas; Grant Drawve University of Arkansas | 2020-03 | This project will investigate the diffusion of fear and related mental and physical health behaviors across the United States amidst the crisis. This project examines how individuals’ perceived risk and objective expressions of fear, including extreme social distancing, panic purchasing, and hoarding, are driven by demographic, physical and mental health, social connectivity, and media consumption characteristics. In addition, the project analyzes how community vulnerabilities, socioeconomic disadvantages, and geographic proximity to detected and disclosed coronavirus cases impact individual fear response behaviors simultaneously. | The study will provide a baseline for evaluating dynamic changes in fear responses and general well-being. It will also address key questions in social science regarding how fear and anxiety moves in and around dynamic social environments both temporally and spatially. | This project examines how individuals’ perceived risk and objective expressions of fear, including extreme social distancing, panic purchasing, and hoarding, are driven by demographic, physical and mental health, social connectivity, and media consumption characteristics. | |||||||||||||
64 | 3/23/2020 10:30:20 | Planning | Social support dynamics in times of need | 3/23/2020 | oriel.feldmanhall@brown.edu | Oriel FeldmanHall | Brown University | http://www.feldmanhalllab.com/ | How do changes in a person's social support network affect their resilience and adherence to social distancing? | survey | USA, UK | Resilience | |||||||||||||||||||
65 | 3/23/2020 10:38:42 | In IRB Review | Parochialism, views of government responsibility, and prosocial behavior during COVID-19 | 3/23/2020 | lsantos1@stanford.edu | Luiza Santos | Stanford University | http://ssnl.stanford.edu/ | How do perceptions of threat impact people’s (1) tendency to behave prosocially vs parochially, (2) assignment of responsibility (individual vs government), and (3) views toward immigration policy? | Three-wave survey | United States | All Stages | Identify social behavior that promotes prosociality and measure support for policy. | Dean Baltiansky (Stanford University) and Jamil Zaki (Stanford University) | 2020-04 | We intend to examine the role of COVID-19 threat perception in increasing parochialism, decreasing trust in local and federal governments, enhancing the sense of individual/community responsibility, and increasing endorsement of stricter immigration policies. Across three waves of data collection, we will assess if the spread of the virus across the U.S. tracks these four variables of interest. | Predict social behavior and political attitudes in the face of a growing pandemic. | Individual/community responsibility; parochialism (including extent of moral circles); immigration attitudes; and trust in government. | |||||||||||||
66 | 3/23/2020 11:09:52 | Data Collection | Covid-19 and Gig economy | 3/23/2020 | funda.ustek@oii.ox.ac.uk; mark.graham@oii.ox.ac.uk | Funda Ustek-Spilda & Mark Graham (PI) | University of Oxford | https://fair.work/about/ | How do platforms and governments responding to social protection needs of gig workers amidst covid-19? | Policy analysis | We are trying to survey as many countries as possible. Currently our analysis spans more than 16 countries, including the UK, Germany, France, Italy, China, India, South Africa, New Zealand, Chile and others. | Resilience | To increase efforts of platforms and governments to provide social protection for gig workers | Alessio Bertolini (University of Oxford), Srujana Katta (University of Oxford), Kelle Howson (University of Oxford), Adam Badger (University of Oxford), Fabian Ferrari (University of Oxford), Sandy Fredman (University of Oxford), and other members of the Fairwork Foundation team https://fair.work/about/ | 2020 March - April data collection, April -May data analysis and publication. | The Fairwork project, at the Oxford Internet Institute, has developed a research method that scores platforms against five core principles of fairness at work, and compares platforms against one another on a league table. Although most platforms are not legally obligated to provide benefits such as minimum wages or safety equipment to their independent workers, the approach has already yielded important results: with platforms from India to South Africa to Germany agreeing to new standards, such as living wages, in order to improve their Fairwork score. | In light of the changing landscape of risk that has emerged for gig workers, and the social protections that those workers now need from the private and public sectors, we will rank both governments and platforms against the crucial support that they are offering to gig workers. | Our aim is to identify transferable best practice and provide incentives for platforms and governments to step up their efforts to protect the workers who are providing such important social services at this time of need. | https://fair.work/about/ | ||||||||||||
67 | 3/23/2020 12:01:18 | Data Collection | Coronavirus fear changes emotion representations | 3/23/2020 | oriel.feldmanhall@brown.edu | Oriel FeldmanHall | Brown University | http://www.feldmanhalllab.com/ | How do people's emotional experiences with coronavirus change their emotion representations? | Survey | United States | Resilience | Understand how chronic stressful events such as covid shape our emotional experiences. | Joseph Heffner (Brown University), Marc vives Lluis (Brown University) | 03-24-2020 | The purpose of the proposed study is to examine the relationship between emotion representation and recent stressful events. Specifically, we’re interested in whether feelings of panic about the novel coronavirus crisis change the way people represent negative emotions. | We plan on comparing emotional representations collected before the coronavirus pandemic to emotional representations collected during this stressful time. Similarly, we will explore whether emotional representations collected during the coronavirus crisis are influenced by people's current negative emotional reactions to the coronavirus (e.g., feelings of panic, stress, worry, etc.) | Emotion classification and coronavirus knowledge, behavior, media consumption, and feelings. | |||||||||||||
68 | 3/23/2020 13:11:00 | In IRB Review | Transition Resilience with Technology: Infrastructuring Care: A Cross Cultural Perspective | 3/23/2020 | bsemaan@syr.edu | Bryan Semaan | Syracuse University | https://bsemaan.expressions.syr.edu/ | How are people drawing on the capabilities of information and communication technologies to reconstruct their routine lives? How are people reappropriating technology/creating new systems? How can we draw on these insights to repair our infrastructure? | Diary studies, surveys, interviews | United States, China, TBD | Resilience | Learning how to design a more resilience infrastructure to support individuals, groups, organizations, and communities during times of mass emergency. | 2020-04 | See my research profile for more details on my overarching research agenda: https://bsemaan.expressions.syr.edu/?page_id=17 | ||||||||||||||||
69 | 3/23/2020 14:34:32 | Planning | Examining age and information sources in reactions to COVID-19 | 3/23/2020 | hbowen@smu.edu | Holly Bowen | Southern Methodist University | https://www.mapllab.com/ | What is the influence of age and fake news on COVID-19 reactions? | survey | United States | Recovery | Better understand how older adults deal with crisis situations. | Kimberly Chiew (University of Denver) | 2020-04 | Examining the role of age and information sources on memory for and reactions to COVID-19. Specifically examining the role of political affiliation, fake news, sense of agency, emotion regulation strategies as predictors of how individuals cope, prepare and deal with a severe public health crisis. | Better understand how age influences memory for highly negative experiences, preparation for and reaction to a public crisis situation, and other variables might predict this such as political affiliation. | memory for key events, preparation for self-isolation, consumed media | |||||||||||||
70 | 3/23/2020 14:34:39 | Data Collection | COVID-19 Online Learning Experience Survey | 3/23/2020 | yoav.bergner@nyu.edu | Yoav Bergner | New York University | https://research.steinhardt.nyu.edu/learn/ | How did college and university students experience the sudden shift to online learning during the COVID-19 pandemic? | online survey | USA | Resilience | Alyssa Wise (New York University) | 2020-03 | The COVID-19 global pandemic has thrown millions of students and instructors into online learning overnight. This is unchartered territory for many and a unique opportunity to learn what works, what doesn't, and how students are feeling throughout the process. The survey is open to any college or university student over 18 who is currently experiencing the shift to online learning because of COVID-19. Students can respond as often as necessary. Analysis of the data will include aggregate summaries, quantitative comparisons by region or school-type, and textual analysis of student answers over time. | The objective of the study is to understand how to provide effective online learning experiences, especially in times of crisis. | |||||||||||||||
71 | 3/23/2020 15:21:44 | Analysis | The structure of student enrollment networks on a residential college campus | 3/23/2020 | kw74@cornell.edu | Kim Weeden | Cornell University | What is the structure of the network defined by co-enrollment of students in face-to-face courses? | network analysis of transcript data | US | Prevention | Our goal is to provide university administators, students, and parents with evidence to guide policies regarding f2f instruction | Ben Cornwell (Cornell University) | 2020-03 | We use restricted and anonymized transcript data from all undergraduate students on a single campus (n=close to 14,000) in a given semester to map the network defined by co-enrollment of students in courses (n=2,200). We also provide descriptive measures of the structure of the network, and of how students from different social statuses (e.g., year in school, gender) vary in their connectedness to others within the network. | We describe and visualize the network of students on a residential campus. We hope this will be helpful to university leaders as they decide whether to shift to (or continue with) on-line instruction. | Standard network measures of the structure of the co-enrollment network. | ||||||||||||||
72 | 3/23/2020 15:36:08 | Planning | Self and other representation and relevance for mental health during COVID19 | 3/23/2020 | xiaosi.gu@mssm.edu | Xiaosi Gu | Icahn School of Medicine at Mount Sinai | https://www.neurocpu.org/ | How do the representations of the self and other contribute to mental health issues during social distancing? | Survey; field experiment | United States | All Stages | Promoting mental health and preventing secondary disasters (increased mental illness during and post-disaster) | TBC | 2020-03 | We will deploy a battery of model-driven cognitive tasks to probe self and other processing, along with mental health surveys. | Self and other related cognitive measures, mental health surveys, COVID related behaviors and perception | ||||||||||||||
73 | 3/23/2020 16:04:35 | Analysis | The Effectiveness of Policies Against Covid-19 | 3/23/2020 | hess@econ.uni-frankfurt.de | Simon Heß | Goethe University | How effective were different policies, taken by different states, in reducing the spread of Covid-19? | World | Resilience | Inform Policy | Patrick Schmidt (H-ITS, Goethe University, Uni Zürich) | |||||||||||||||||||
74 | 3/23/2020 16:36:28 | Planning | God will provide: Adherence to COVID-19 health guidelines and religious coping among religious Jews | 3/24/2020 | drosmarin@mclean.harvard.edu | David H. Rosmarin | Harvard Medical School/McLean | https://www.mcleanhospital.org/profile/david-h-rosmarin | To what extent do spiritual/religious factors influence adherence to health guidelines and coping during the COVID-19 pandemic? | Surveys | USA, Canada, and maybe Israel | All Stages | Understanding and promoting facilitators of compliance to crucial health measures and resilience among religious Jews | Aaron D. Cherniak (Stockhom University, Mayanei Hayeshua Medical Center), Steven Pirutinsky (Touro College Graduate School of Social Work) | 2020-04 | Attitudes and behaviors around social distancing, mental health (tolerance of uncertainty, anxiety, depression, etc.) | |||||||||||||||
75 | 3/23/2020 17:00:03 | Data Collection | Wise reasoning about COVID-19 pandemic | 3/23/2020 | igrossma@uwaterloo.ca | Igor Grossmann | University of Waterloo | https://uwaterloo.ca/wisdom-and-culture-lab/ | survey questionnaire | United Kingdom, United States | All Stages | The scale will be used in future research to examine various aspects of reasoning about COVID19 pandemic social issues. | Anna Dorfman, Amanda Rotella, Abdo Elnakouri (UWaterloo) ; Justin Brienza (University of Queensland) | 2020-03 | The project aims to validate the Situated Wise Reasoning Scale (SWiS) for future research on pandemic related reasoning for conflict between collective benefits and personal costs, the impact of uncertainly on community issues, and individuals' difficult situations. We also explore the nomological network. This study will potentially expend to examine mental health-related consequences (e.g., general anxiety) in a future follow-up (e.g., 2 weeks after the initial survey). | Establish the validity of the SWiS for reasoning concerning pandemic related social issues. | SWiS scores for 3 different pandemic related issues. | ||||||||||||||
76 | 3/23/2020 17:05:09 | Planning | Mental Health Predictors of Coping During Crisis | 3/23/2020 | hallion@pitt.edu | Lauren Hallion | University of Pittsburgh | http://www.cnmalab.com | What are the major mental health predictors of affective, cognitive, and behavioral responding during crisis? | Prospective follow-up (survey) | United States, Open | All Stages | We will understand how mental health concerns such as anxiety and worry may function as adaptations during times of real threat. | Working Group; Open | 2020-04 | We will conduct follow-up data during a time of crisis (COVID-19) from individuals who previously provided mental health-related self-report data, completed diagnostic inteview, provided biological specimens or underwent EEG, fMRI or other biological measures, and/or completed cognitive tasks. We will inquire about current coping, including affective, behavioral, and cognitive responses, with a particular focus on wellbeing and values and goal-consistent actions. | The goals of the study are to identify prospective predictors of coping during crisis, with an eye toward understanding the role of mental health characteristics as potential adaptations during times of real threat. | Outcome variables include current (peri-COVID-19) cognition, affect, behavior, and wellbeing. | |||||||||||||
77 | 3/23/2020 20:21:23 | In IRB Review | Switching to online learning under Covid-19: Assessment of technology readiness in professors and students | 3/23/2020 | pavel.reyes@anahuac.mx | Pavel Reyes-Mercado | Universidad Anáhuac México | https://www.anahuac.mx/mexico/EscuelasyFacultades/economia/Profesorado/Pavel-Reyes-Mercado | To analyse switching behavior and technology readiness of business students from a traditional classroom setting to online learning platforms in the context of mandatory quarantine under the Covid-19 pandemic | Survey and analysis with structural equation model | USA, Malaysia, Spain, and Mexico | Resilience | Learners and faculty in countries under different pandemic stages | Karla Bajaras-Portas (Universidad Anáhuac México), Halimin Herjanto (Marist College, USA), TBD (Spain), Jati Kasuma (Universiti Teknologi Mara) | 2020-04 | To analyse switching behavior of business students from a traditional classroom setting to online learning platforms in the context of mandatory quarantine under the Covid-19 pandemic. Studies on adoption and use of technology for learning have been conducted at different stages of product diffusion in stable settings. The Covid-19 pandemic has provoked business schools around the world to go online practically overnight. This paper offers one of the few studies to understand adoption, use, and engagement of technology platforms and tools for learning. Under the basis of collected samples in business schools in Asia, Europe, and America, we test for individual-specific and technology specific perceptions and their impact on adoption and use. Specifically we use a combined Technology Readiness-Unified Theory of Adoption and Use of Technology (TR-UTAUT) to comprehensively assess learners' perceptions. | Analyse the driving factors behind quick adoption of learning online platforms | Technology, adoption, use, and learner engagement | |||||||||||||
78 | 3/24/2020 2:40:58 | Analysis | Implication of antiscience beliefs on perceived risk towards Covid-19 and intergroup relations | 3/24/2020 | gaelle.marinthe@hotmail.fr | Gaëlle Marinthe | University of Rennes 2 | https://www.researchgate.net/profile/Gaelle_Marinthe2 | Do anti-science beliefs increase perception of the threat regarding Covid-19, and thus intergroup bias defense reactions towards Chinese? | online survey | France | All Stages | Understanding emergence of intergroup bias in time of medical crisis | Genavee Brown (Northumbria University), Sylvain Delouvée (University of Rennes 2) | 03/02/2020 to 08/03/2020 | We measured antiscience beliefs, perception of risk regarding Covid-19, and intergroup attitudes (through a feeling thermometer measure including French, Asian and Chinese groups; we calculated a pro-ingroup bias by the difference in evaluation of French vs. Chinese or Asian groups). We collected questionnaires at two time points. The first wave was collected before the development of Covid-19 in Europe (before 23/02/2020), that is, when the Covid-19 was an external threat to France. The second wave was collected after Covid-19 started to spread in Europe (after 24/02/2020), that is, with Covid-19 as an internal threat. | We hypothesized that the more people hold antiscience beliefs, the more they will perceive a risk regarding Covid-19, and the more they will express a pro-ingroup bias towards Chinese and Asian people, but only when Covid-19 is an external threat. | Results confirmed the hypothesis, showing an moderated mediation effect of anti-science beliefs on pro-ingroup bias through percpetion of risk, moderated by the external vs. internal threat | |||||||||||||
79 | 3/24/2020 2:43:25 | Analysis | Conspiracy beliefs' influence on perceived risk and obeying prevention measures for COVID-19 | 3/24/2020 | gaelle.marinthe@hotmail.fr | Gaëlle Marinthe | University of Rennes 2 | https://www.researchgate.net/profile/Gaelle_Marinthe2 | What motivates conspiracy believers to respect prevention measures? | online surveys | France | Prevention | Understanding conspiracy believers' personal motivations for obeying prevention behaviors and stockpiling | Genavee Brown (Northumbria University), Sylvain Delouvée (University of Rennes 2) | Study 1: 09/03/2020 (before confinement) ; Study 2: from 18/03/2020 to 23/03/2020 (during confinement) | Study 1: A questionnaire assessed conspiracy beliefs, perceived risk (for self and others) and social distancing behaviors; Study 2: We measured conspiracy beliefs, perceived risk (for self and others), attitude towards and respect of confinement, stockpiling, and motivations to stay at home. | We hypothesized that the more people believe in conspiracy, the more they will perceive self (v. other) risk and obey prevention measures for personal reasons but not to protect others. | In both studies, an indirect effect through perceived risk for self (not for others) leads to an increase in respect of self-protective and official prevention measures among higher conspiracy believers. | |||||||||||||
80 | 3/24/2020 7:31:12 | Data Collection | Diurnal emotional patterns during the COVID-19 pandemic | 3/24/2020 | leonard.lades@ucd.ie | Leonard Lades | University College Dublin | https://bsp.ucd.ie/ | How do people's daily emotions vary according to their behaviours and circumstances during the COVID-19 pandemic? | An online survey using the Day Reconstruction Method. | Ireland | Resilience | To provide insights into people's emotional responses to changes in their routines and any health and economic stresses arising from the COVID-19 pandemic. | Kate Laffan (University College Dublin), Liam Delaney (University College Dublin), Orla Doyle (University College Dublin), Diane Pelly (University College Dublin), Margaret Samahita (University College Dublin) , Michael Daly (University of Maynooth) | 2020-03 | We will run an onlilne study with nationally representative sample from Ireland. The sample will be surveyed at least twice. In each survey, we will ask 1,000 participants to complete the survey. The survey will include questions about demographics, personality traits, personal health and COVID-19 related questions. In order to measure diurnal patterns of emotions over the day, we will use the Day Reconstruction Method (DRM). The DRM is a diary-style tool that is designed to collect data on the experiences a person has on a given day, through a systematic reconstruction conducted on the following day. We will measure experiences such as happiness, sadness, loneliness, fatigue, tiredness and frustration. We will use the DRM to identify the situations when these experiences are particularly strong (e.g. when working from home, when on the phone with relatives or when taking care of children). We will also use it to compare people who organise their days differently (e.g. who keep social distance vs. who frequently engage in social interactions). | This study aims to identify the implications of the coronavirus for people’s wellbeing, including in relation to their ability to adapt to their new circumstances and manage health and economic stresses. The study also aims to better understand how people’s daily emotions are linked to people’s engagement in important precautionary behaviours, such as maintaining social distance and good hygiene practices, as well as productive behaviours in relation to work. | Reported emotions including feelings of happiness, sadness, anxiety, frustration and people's activity profiles - what they are doing, where and with whom. | |||||||||||||
81 | 3/24/2020 7:57:54 | In IRB Review | Psychological stressors and their behavioural implications for COVID19 | 3/24/2020 | andreas@edu.au.dk | Andreas Lieberoth | Aarhus University, Denmark | https://interactingminds.au.dk/ | Mapping psychological stressors during the COVID-19 pandemic and their global impact on trust and beavior compliance with preventive measures | survey | Denmark, Australia, Bangladesh, Belgium, Bosnia, Canada, Croatia, China, Czech Republic, Denmark, Egypt, Finland, France, Germany, India, Indonesia, Israel, Italy, Japan, Kosovo, Mexico, Netherlands, Pakistan, Philippines, Poland, Portugal, Russia, Singapore, South Africa, Spain, Switzerland, Taiwan | All Stages | Recommendations on behavioral interventions, including framing of preventive measures and wellbeing. | Dmitrii Dubrov National Research University Higher School of Economics Thao Tran Colorado State University Hafize Sahin Independent researcher Rebekah Gelpí University of Toronto Arian Musliu Ludwig-Maximilians-Universität München Dominik-Borna Ćepulić Catholic University of Croatia J. Noël West University of Sheffield Priyanka Naidu Griffith University Yao-Yuan Yeh University of St. Thomas, Houston Ivan Flis Catholic University of Croatia Liz Martinez Univeristy of California, Merced Yuki Yamada Kyushu University Keiko Ihaya Kyushu University Aya Shata University of Miami, Cairo University Hyemin Han Uiversity of Alabama Yookyung Lee The University of Texas at Austin Grace Byrne Vrije Universiteit Amsterdam Oli Ahmed University of Chittagong Moh Abdul Hakim Universitas Sebelas Maret Austin Horng-En Wang University of Nevada, Las Vegas Shiang-Yi Lin Education University of Hong Kong John Jamir Benzon R. Aruta De La Salle University, Manila, Philippines Phillip S. Kavanagh University of Canberra Charles K.S. Wu Purdue University Fang-Yu Chen Michigan State University Vicenta Reynoso-Alcántara Facultad de Psicología, Universidad Veracruzana, México Antonio G. Lentoor Sefako Makgatho Health Sciences University, South Africa Oulmann Zerhouni Université Paris Nanterre Jiri Cenek Mendel University in Brno Martin Pírko Mendel University in Brno Eda Ermagan-Caglar David Lacko Mendel University in Brno Paul Strohmeier Saarland University, Saarland Informatics Campus Pilleriin Sikka Department of Psychology, University of Turku, Finland; Turku Brain and Mind Center; Department of Cognitive Neuroscience and Philosophy, University of Skövde, Sweden Jarno Tuominen Department of Psychology, University of Turku, Finland; Turku Brain and Mind Center Marta Kowal University of Wrocław, Wrocław, Poland Sabrina Stöckli University of Bern, Bern, Switzerland Arooj Najmussaqib Bahria University, Islamabad, Pakistan Alma Jeftic University of Belgrade, Serbia and International Christian University, Tokyo, Japan Marjolein Caniëls Open University, The Netherlands Irene Cristofori University Claude Bernard Lyon 1/ CNRS Benjamin Tag The University of Melbourne Irina Nikolova Open University, The Netherlands Salomé Mamede Faculty of Psychology and Education Sciences of University of Porto Tao Coll-Martín University of Granada Sara Morales-Izquierdo University of Warwick Giovanni Antonio Travaglino University of Kent and Chinese University of Hong Kong at Shenzhen Lotte Pummerer Leibniz-Institut für Wissensmedien, Tübingen Gülden SAYILAN Ankara Yildirim Beyazit University Anna Studzinska University of Economics and Human Sciences in Warsaw Raisa Kumaga University of East London Daniel Pankowski University of Economics and Human Sciences in Warsaw Ena Uzelac Faculty of Humanities and Social Sciences, Universty of Zagreb Cristina Sechi Department of Pedagogy, Psychology, Philosophy, University of Cagliari, Italy. Stéphane Debove Independent researcher Fidan Turk University of Sheffield Sara Rietmann João Carlos Areias Faculty of Psychology and Education Sciences of University of Porto Samuel Lins Faculty of Psychology and Education Sciences of University of Porto Mehmet Kosa Tilburg University Fernanda Pérez-Gay JUárez McGill University Maor Shani Hebrew University of Jerusalem Kristina Eichel Brown University Nidhi Sinha Indian Institute of Technology (IIT), Hyderabad Wilson Cyrus-Lai INSEAD | 2020-03 - 2020-05(?) | International collaborative survey study focused on open science data access. What factors are most psychologically distressing in the time of COVID-19, how does this relationship differ across countries with different cultures, social distancing guidelines and Corona-outbreak situations? How does this affect compliance with COVID-19 prevention measures like social distancing, sensitivity to risk framing and trust in the world governments? And what could be done to mitigate such effects in terms of intervention focus and message framing? | Stress, Personality, behavioral compliance, trust in authorities, gain vs. loss framing effectiveness | ||||||||||||||
82 | 3/24/2020 8:29:45 | Data Collection | Collective Encoding and Memory | 3/24/2020 | meghan.l.meyer@dartmouth.edu | Meghan Meyer | Dartmouth College | http://www.dartmouth-socialneurolab.com/ | What aspects of living through COVID are people encoding and which things will they subsequently remember | survey | United States | Resilience | It will give us insight into what features of COVID individuals pay the most attention to and remember how that may relate to well-being/coping | Sasha Brietske, Courtney Jimenez, Danika Geisler, Alex DaSilva, Christina Huber | 2020/12 | Participants answer essay like questions about their experience of COVID. | Determine what aspects of COVID are most salient and memorable to people | memory | |||||||||||||
83 | 3/24/2020 9:05:57 | Data Collection | Anxiety and susceptibility to conspiracy theory | 3/24/2020 | joan.barcelo@nyu.edu | Joan Barcelo | NYU Abu Dhabi | http://www.joanbarcelo.com/ | Does anxiety increase susceptibility to conspiracy theory? | survey experiment | Spain | All Stages | Addressing the problem of infodemic | Greg Sheen (NYU Abu Dhabi) | 2020-03 | This study investigates the relationship between anxiety to contracting the Novel Coronavirus and susceptibility to conspiracy theories surrounding the virus. We would like to understand whether more anxious people are more likely to fell preys to conspiracy theory. Moreover, we aim to understand the effects of correction to the theories, and how presenting correction in different ways affects its effectiveness. | To improve our understanding on why people believe in conspiracy theory and how to effectively correct the problem | Trust in conspiracy theory | |||||||||||||
84 | 3/24/2020 9:10:04 | Data Collection | Covid-19 conspiracy theories : an exploratory study in France | 3/24/2020 | pbertin@unice.fr | Paul Bertin | Université Côte d'Azur | http://unice.fr/laboratoires/lapcos/les-membres/liste-des-membres/doctorant-es/bertin-paul | What are the social and intergroup predictors of belief in Covid-19 conspiracy theories in France? | Online survey | France | Prevention | Reducing the detrimental consequences of belief in Covid-19 conspiracy theories | Sylvain Delouvée (University of Rennes) | 2020-04 | We run an exploratory online survey including a Covid-19 conspiracy theories scale and potential predictors such as collective narcissism, threat perception and social victimhood. | First purpose is exploratory. Second purpose is providing concrete recommandations depending of the results. | Covid-19 conspiracy theories | https://osf.io/3qyf4/ | ||||||||||||
85 | 3/24/2020 9:16:34 | Pre-Print | Evaluating COVID-19 Public Health Messaging in Italy: Self-Reported Compliance and Growing Mental Health Concerns | 3/24/2020 | king@harvard.edu | Gary King | Harvard University | https://gking.harvard.edu/covid-italy | Is public health messaging working in Italy, for whom, and why or why not? | Survey and survey experiment | Italy | Resilience | Our study was commissioned for the Italy government to inform the necessity/quality/quantity of public health messaging and whether to shift to new interventions. | Soubhik Barari, Stefano Caria, Antonio Davola, Paolo Falco, Stefano Fiorin, Lukas Hensel, Andriy Ivchenko, Jon Jachimowicz, Gary King, Gordon Kraft-Todd, Alice Ledda, Mary MacLennan, Lucian Mutoi, Claudio Pagani, Elena Reutskaja, Christopher Roth, and Federico Raimondi Slepoi | 2020-03 | The COVID-19 death-rate in Italy continues to climb, surpassing that in every other country. We implement one of the first nationally representative surveys about this unprecedented public health crisis and use it to evaluate the Italian government’ public health efforts and citizen responses. | (1) Public health messaging is being heard. Except for slightly lower compliance among young adults, all subgroups we studied understand how to keep themselves and others safe from the SARS-Cov-2 virus. (2) The quarantine is beginning to have serious negative effects on the population’s mental health. | https://gking.harvard.edu/covid-italy | https://gking.harvard.edu/covid-italy | https://gking.harvard.edu/files/gking/files/covid-italy.pdf | |||||||||||
86 | 3/24/2020 10:00:51 | Planning | What are the cultural and social impacts as an individual for the covid-19 pandemic? | 3/24/2020 | ranjan.datta@usask.ca | Ranjan Datta | University of Regina | What are the critical perspectives? How to be positive in this critical moment? What are our responsibilities as a researcher and/or educator? How should we build solidarity as a researcher and/or educator? | field interview, auto-ethnography, Indigenous story sharing | Canada | Resilience | Building community-based regilinency | Have not decided yet... Please contact me if you are interested | As soon as possible | Building a community-based tool | ||||||||||||||||
87 | 3/24/2020 11:05:59 | Analysis | Coronavirus, Government Trust, and Political Attitudes | 3/24/2020 | pepinsky@cornell.edu | Thomas Pepinsky | Cornell | http://tompepinsky.com | How does partisanship shape popular attitudes about COVID-19, who is responsible for it, and how to respond to it? | public opinion surveys, survey experiments | United States of America | Resilience | To understand how partisan information sources affect public attitudes | Shana Kushner Gadarian (Syracuse University), Sara Wallace Goodman (UC Irvine) | 2020-03 | This project will examine the effects of health information asymmetry and government trust on public attitudes, towards experts and officials (measured as blame attribution), outgroups (measured as immigration policy preferences), economic protectionism (measured in trade attitudes), and individual willingness to follow public health recommendations. | Studying the effects of various framings of coronavirus on survey respondents will provide us with important scientific findings about expert blame attribution, perceived partisanship in public good provisions, immigration and trade policy preferences, and trust in institutions and leaders. | public health responses, blame attribution, immigrant and economic policy preferences | http://egap.org/design-registrations | ||||||||||||
88 | 3/24/2020 11:20:32 | Data Collection | Framing effects on the effectiveness and virality of health messages related to COVID-19 | 3/24/2020 | emily.falk@asc.upenn.edu | Emily Falk | University of Pennsylvania | https://cn.asc.upenn.edu/ | Which types of message frames are most effective for changing attitudes, norms, and intentions to engage in preventative behaviors related to COVID-19 and likelihood of message propagation via sharing on social media? | Survey and field experiments | United States | All Stages | What messaging strategies should be adopted by scientists, public health experts, peer interventions? | Christin Scholz and Hang-Yee Chan (University of Amsterdam); Falk Lab Team: Danielle Cosme, Bruce P Dore, Matthew Brook O'Donnell, Yoona Kang, Nicole Cooper, Nina Lauharatanahirun, Bradley D. Mattan, Rui Pei, Mia Jovanova, Prateekshit Pandey, Jacob Parelman, Mary Andrews, Darin Johnson, Jeesung Ahn, José Carreras-Tartak, Alexandra Paul, Silicia Lomax (University of Pennsylvania) | 2020-03 | We seek to understand whether and how popular health messages related to COVID-19 can be made more effective through framing. We plan to test a series of framing manipulations to increase the impact of COVID-19 messages currently being shared on social media, and assess the impact of the framing manipulations on attitudes about and intentions to engage in preventative behavior, and sharing behavior. | Identify how best to frame health messages related to COVID-19 | Liklihood of sharing; behavior-relevant attitudes and norms; intentions to engage in preventative behaviors | https://osf.io/8hn2g/ | https://github.com/cnlab/covid19-message-framing | |||||||||||
89 | 3/24/2020 11:45:43 | Data Collection | How Scientific Data, Knowledge, and Expertise Mobilize in Online Media | 3/24/2020 | espiro@uw.edu | Emma Spiro | University of Washington | https://www.cip.uw.edu/ | How do misunderstandings of COVID-19-related statistics, data, and expertise influence how journalists, government agencies and others communicate the spread of the virus; and how might these dynamics affect public perceptions surrounding risk and social distancing? | All Stages | Jevin West, University of Washington Kate Starbird, University of Washington | 2020-03 | We will leverage the newly launched Center for an Information Public (CIP) at the University of Washington (UW). Our core expertise in the CIP builds upon more than a decade of work investigating rumors and misinformation during crisis events. Our goal is to translate this research into education, policy, and community engagement. | ||||||||||||||||||
90 | 3/24/2020 11:49:11 | Planning | Earthquakes in the time of COVID | 3/24/2020 | skmcbride@usgs.gov | Sara McBride | U.S. Geological Survey | How responses from the media, social media, and government officials to earthquakes are changed during this time of COVID. | Social media, media analysis. | Global | All Stages | Better understanding of how people cope with multiple threats occurring at once. | In planning. | ||||||||||||||||||
91 | 3/24/2020 12:12:32 | In IRB Review | Farm, Family, and Food Security: Gendered Patterns of Resilience During Crisis | 3/24/2020 | klepillez@gmail.com | Karine Lepillez | The George Washington University | What does resilience and adaptation look like for MD farmers and growers of different backgrounds and varying approaches to individual and family identity, in response to the national and global crises brought on by COVID-19? | In-depth interviews | United States | Resilience | Inform policy discussion and future crisis response actions in the state of Maryland. | Jane Henrici (The George Washington University) | 2020-04 | |||||||||||||||||
92 | 3/24/2020 12:38:38 | Data Collection | Using data analytics to explore how gossip perpetuates health misinformation | 3/24/2020 | nmy2bg@virginia.edu | Meltem Yucel | University of Virginia | https://www.meltemyucel.com/ | How does gossip perpetuate health misinformation on social media? | Content analysis | United States | Prevention | To reduce the spread of health related misinformation on social media | Debajyoti Datta (University of Virginia), Gerald Clore (University of Virginia) | 2020-04 | ||||||||||||||||
93 | 3/24/2020 12:47:26 | Data Collection | Infected by fairness? Experimental evidence on how the coronavirus crisis impacts fairness preferences. | 3/24/2020 | bertil.tungodden@nhh.no | Bertil Tungodden | Norwegian School of Economics | https://sites.google.com/view/bertiltungodden/home | How does the coronavirus crisis affect people's fairness preferences, policy attitudes and moral universalism? | Surveys & experiments (before and after the corona outbreak). | US, (Norway) | All Stages | Provide causal evidence on how the coronavirus crisis affects fairness preferences, policy attitudes and moral universalism. | Alexander W. Cappelen and Ranveig Falch, Norwegian School of Economics | Ongoing | In a controlled experiment, we study how the coronavirus crisis causally affects inequality acceptance, selfishness and moral universalism, using a representative sample of 8000 Americans. More specifically, the present project will study how the coronavirus crisis affects people's inequality acceptance and support for redistribution; belief in luck being an important determinant of people's economic situation; selfishness; moral outlook on global issues; and support for big government. | Our study will causally identify how the coronavirus crisis shapes the moral perspectives of Americans, where we conjecture that the crisis makes people less inequality accepting and more prosocial, but also more nationalistic. | Distributive behavior; inequality acceptance where luck is the source of inequality; beliefs about luck as a determinant of income inequality; attitudes relating to selfishness and responsibility (incl. moral universalism); preferences for big government; wellbeing. | |||||||||||||
94 | 3/24/2020 13:13:34 | Data Collection | Unifying under COVID | 3/24/2020 | shariff@psych.ubc.ca | Azim Shariff | The University of British Columbia | https://sharifflab.com/ | How do different descriptions of the virus affect people's identification with all of humanity and blame towards different agents? | Experiment in survey form | America | All Stages | To suggest ways of portraying the coronavirus that promote collective action. | Brent Stewart (UBC), Anita Schmalor (UBC) | 2020-03-24 | We will test how different ways of describing the coronavirus might 1) increase people’s identification with all of humanity, and 2) reduce blame towards different agents. There will be four conditions. All conditions first provide the same facts about COVID-19. Control condition: There will be no additional description beyond these initial facts. China Condition: Description of the coronavirus originating from a “Wet market” in Wuhan, China Evolution Condition: Description of the coronavirus as part of a family of viruses that are in an ongoing evolutionary arms race with humans Anthropomorphism-Evolution Condition: same as the Evolution Condition, but the language anthropomorphises the coronavirus. | To test that whether we can increase people's identification with humanity and reduce blame by varying how we describe the virus. | A slightly modified version of the Identification with Humanity Scale, and items measuring how much people blame the following for the pandemic: the virus itself, the Chinese government, the Chinese people, Donald Trump, the American people, the US government, the people in one's city. | |||||||||||||
95 | 3/24/2020 13:57:45 | Data Collection | Tracking social distancing using public camera feeds | 3/24/2020 | renos@harvard.edu | Ryan Enos | Harvard University | To what extent are individuals across the U.S. complying with social distancing, and how does this vary by location and over time? | observational - collecting video image data | United States | All Stages | Create a measure of compliance with social distancing over time, across many cities and locations | Bryce Dietrich (U of Iowa), Jake Brown (Harvard), Melissa Sands (UC-Merced), Soubhik Barari (Harvard) | ongoing | |||||||||||||||||
96 | 3/24/2020 16:05:08 | Data Collection | Longitudinal study of threat perceptions, vaccine attitudes, and altruistic behavior | 3/24/2020 | rgershon@ucsd.edu | Rachel Gershon and Ayelet Gneezy | UC San Diego | https://rady.ucsd.edu/people/faculty/gershon/index.html | How does perceived threat during this crisis impact altruistic behavior, trust of other individuals, media, and the government, and attitudes towards vaccinations? | survey (longitudinal) | United States | All Stages | 2020-03 | The aim is to understand how perceived threat leads to changes in individual's attitudes, generosity, and public health behavior over time. | self-reports of behavior and attitudes over time | ||||||||||||||||
97 | 3/24/2020 22:16:08 | Planning | Factors Influencing Spatial Diffusion of COVID-19 | 3/25/2020 | t.sigler@uq.edu.au | Thomas Sigler | The University of Queensland | Which geospatial attributes underlie COVID-19 diffusion? | Statistics: Quantile Regression | Australia | Prevention | Better understanding of the factors that lead to virus diffusion at various stages. | Sirat Mahmuda (The University of Queensland); Jonathan Corcoran (The University of Queensland); Anthony Kimpton (The University of Queensland); Julia Loginova (The University of Queensland) | 2020-04 | This study aims to understand the impacts that geographical variables have at multiple scales. In the first instance, it takes country-level attributes such as degree of globalisation, population density, internal and external mobility, and urbanisation rate and explores their changing impact over time using quantile regression. | To understand how factors such as population density and mobility impact virus spread, and how their impact changes over time. | New cases by week | ||||||||||||||
98 | 3/25/2020 1:58:06 | Analysis | Predictors of fear for the coronavirus: An online study in March 2020 | 3/25/2020 | Mertensgaetan@gmail.com | Gaëtan Mertens | Tilburg University | https://www.uu.nl/en/research/experimental-psychopathology-lab-utrecht | What are the personality-, media-, and personal relevance-related factors predicting fear for the coronavirus? | Online survey | Netherlands, Global | All Stages | This study will provide more insight into different factors (such as personality and environmental factors) predicting fear for the coronavirus. This can help with managing fear (e.g., limiting media use). | Lotte Gerritsen (Utrecht University) Elske Salemink (Utrecht University) Iris Engelhard (Utrecht University) | Has already been conducted | It's an online survey with different questionnaires and items to predict fear for the coronavirus. The questionnaires and items include the Intolerance of Uncertainty scale, the Penn State Worry Questionnaire, the Health Anxiety Inventory, items relating to media use, general health, risk for loved ones, age, gender, and country of residence. | Exploratory (though predictors were selected on theoretical considerations) to uncover what are predictors of fear for the coronavirus. | Fear for the coronavirus (custom scale with 8 items; observed Cronbach's alpha = 0.77) | https://osf.io/t5uvn/ | https://osf.io/t5uvn/ | |||||||||||
99 | 3/25/2020 2:41:11 | Data Collection | The impact of celebrity spokespeople as advocates of social distancing | 3/25/2020 | robert.west@epfl.ch | Robert West | EPFL | https://dlab.epfl.ch/2020-03-23-covid-19-survey/ | Are celebrities more effective than government officials and public-health experts at getting people to comply with social distancing rules? | Online survey: https://dlab.epfl.ch/2020-03-23-covid-19-survey/ | Brazil, Germany, Spain, France, Italy, Mexico, Switzerland, Singapore, UK, US, China, South Korea | Prevention | We would like to quantify who is best suited as a spokesperson in order to convince people to adhere to social-distancing norms. | Andreas Spitz (EPFL), Ahmad Abu-Akel (University of Lausanne) | 2020-03 | This is a survey-based study. We show participants an endorsement of a (fixed) set of social-distancing rules on behalf of a random one of 5 spokespeople (2 celebrities, 1 government official, 1 health expert, 1 control without a spokesperson) and measure their level of agreement with rules of social distancing. All 5 spokespeople have actually endorsed social distancing on social media. Several demographic and attitudinal covariates are also measured. | We would like to quantify who is best suited as a spokesperson in order to convince people to adhere to social-distancing norms. | For each tested spokesperson, we will measure the average respondent's agreement with the social distance rules endorsed by the spokesperson | |||||||||||||
100 | 3/25/2020 3:17:18 | Data Collection | Narrating the corona crisis: Voices from the Swedish public sector | 3/25/2020 | josef.pallas@fek.uu.se | Josef Pallas | Uppsala University | https://katalog.uu.se/profile/?id=N2-997 | What has the corona crisis implied for everyday work in the Swedish public sector? | Narrative methods, specifically collecting stories written by participants about their every work and workplace. | Sweden | Resilience | We anticipate two impacts: Giving the public workers a space for reflection (and sanity) through writing, and allowing to understand the impact of the crisis on everyday work after the crisis. | Barbara Czarniawska (University of Gothenburg), Elena Raviola (University of Gothenburg) | 2020-03 We have started our fieldwork | This is a collection of stories on everyday work from employees in the Swedish public sectors, as many and different voices as possible. We will publish these stories in a book. | To capture the sensemaking or (non)sensemaking of public workers and document their work experience of the crisis. | We anticipate to find spaces of hopes and despair, but we are genuinely and openly curious about how people make sense of their experience at work in the public sector. | https://gri.gu.se/aktuellt/nyheter/n//deltagare-efterlyses-till-forskningsprojekt-om-coronakrisen.cid1680375 | ||||||||||||