QCRI/UNDP Humanitarian and Development Data Analysis Projects
 Share
The version of the browser you are using is no longer supported. Please upgrade to a supported browser.Dismiss

View only
 
ABCDEFGHIJK
1
Project NameProject DescriptionSDG/Topic
Passive Data Analysis or Active Intervention
Research Challenge Presenter
Secondary Problem Owner
Primary Data Source or Technology
Secondary Data Source or Technology
Research Novelty
Possible Partners
People to contact
2
Poverty Mapping Using Facebook and Satellite Data
Combine anonymous audience estimates from Facebook with satellite data such as night light for fine-grained and up-to-date poverty mapping
No Poverty (#1)Passive data collection and analysisUNICEF InnovationWorld Bankaggregate advertising data (Facebook, LinkedIn, ...)satellite imagery (night light etc.)Probably feasible with state-of-the-art
UNICEF Innovation, Thinking Machines, QCRI
Ingmar Weber, Vedran Sekara, Isabelle Tingzon
3
Enhanced monitoring of tensions (and prediction of violence)
Monitoring of social media platforms to inform early responses by the international community and the Government of Lebanon
Peace, Justice and Strong Institutions (#16)Passive data collection and analysisUNDP Lebanon
UNHCR Lebanon, Government of Lebanon, N/INGOs
Surveys, user studiespublic social media posts (Twitter, Instagram, ...)solid off-the-shelf solutions will do
Facebook, QCRI
Tom Lambert
4
Cost effectiveness in Data analytics, Data Visualization and Lean Impact Measurement
Automatize the processing, analysis and visualisation of baseline and endline surveys for development projects
Peace, Justice and Strong Institutions (#16)Both passive and activeUNDP LebanonGovt of LebanonSurveys, user studiesProbably feasible with state-of-the-art
Dalberg, Thinking Machines
Marat Murzabekov
5
Identifying and reaching out to social referents and/or high risk and at risk people
Conflict prevention projects rely on identifying people "at risk" or "high risk." Also, these projects rely on reaching to the social referents - persons who set the behavioral norms in a given social group. Is it possible to streamline the process of identifying the target beneficiaries of development interventions?
Peace, Justice and Strong Institutions (#16)Both passive and activeUNDP LebanonGovt of LebanonSurveys, user studiesaggregate advertising data (Facebook, LinkedIn, ...)Probably feasible with state-of-the-art
UNDP, Facebook
Marat Murzabekov
6
UNDP Live Lebanon
Engaging the Lebanee Diaspora in development efforts in rudal areas in Lebanon
Partnerships for the Goals (#17)Passive data collection and analysisUNDP Lebanon
Ministry of Foreign Affairs and Immigrants
public social media posts (Twitter, Instagram, ...)OtherOtherFacebookRawad Rizk
7
Digital microfinace to poor producers
The ‘Microfinance for Young and Poor Producers in Rural Areas in Darfur’ Project aims to increase access for IDPs, Returnees, vulnerable groups and poor producers, including youth and women to microfinance and financial services to stimulate markets, and sustain source of income in the five Darfur States.
Industry, Innovation and Infrastructure (#9)Active intervention and behavior changeUNDP Sudan
National Banks, Min. of Agriculture and Animal Resources
SMSmobile phone data (CDR)solid off-the-shelf solutions will do
MTN, Vodafone, QCRI, Dalberg
Jennifer Colville, John Anodam, Anisha Thapa
8
Strengthen value chains by risk monitoirng and info sharing
Darfur Livelihoods and Value Chain project aims to strengthen value chains and invest in inclusive market development in order to restore and improve rural livelihoods. The project works with local private sector in rural and urban contexts, and contributes to environmentally sustainable natural resource management. Value chain development focuses on promoting income generation and employment through value chain integration, identifying new value chains, increase production and focus on quality control and value addition; as well as mainstreaming peace-building elements for coexistence and peaceful management of natural resources.
Decent Work and Economic Growth (#8)Both passive and activeUNDP Sudan
Min. of Agriculture and Animal Resources
mobile appOtherProbably feasible with state-of-the-art
MTN, Vodafone, QCRI, Dalberg
Jennifer Colville, John Anodam, Anisha Thapa
9
Data life cycle
define a new data governance model for the whole data cycle
Data StandardizationBoth passive and activeQatar Red CrescentSurveys, user studiesno technical challenge
QCRI, Dalberg Data Insights, Data Aurora, iMMAP
Khaled Diab
10
Data lake for DTM data
Build or help to build the data lake based on all the DTM data: reports, infosheets, dashboards, datasets, images, videos, and databases. Since there is a single standard, the amount of data cannot be classified as ‘big data’ but ‘complex’ data, given the different formats, standards, contexts and scope.
Migration and DisplacementOtherIOMEduardo Zambrano
11
Estimating integration refugees in host communities & refugee movement
D4R challenge: expand our paper (last pages) to another region/country besides Turkey http://d4r.turktelekom.com.tr/Content/Documents/d4r-proceedings.pdf
Migration and DisplacementActive intervention and behavior changeUNHCRmobile phone data (CDR)aggregate advertising data (Facebook, LinkedIn, ...)Probably feasible with state-of-the-art
UN Global Pulse (NY)
Rebeca Moreno Jimenez, Miguel Luengo-Oroz
12
Internal surveys text analytics (e.g. comments section) open-source application
Survey text analytics: n-grams, topics trends, sentiment, and finding the sentence before/after a keyword. Some internal surveys are ennumerators capturing refugee voices.
Migration and DisplacementActive intervention and behavior changeUNHCRSurveys, user studiessolid off-the-shelf solutions will doRebeca Moreno Jimenez
13
Estimating magnitude, location and duration of disaster displacement
There are many stages of forced displacement: 1) early warning (detect strange mobility patterns) 2) emergency response (where are people moving?) 3) protracted (integration/seggregation in a certain geographical location, access to basic services) -- How can we estimate this as accurately, quickly and efficiently as possible?
Migration and DisplacementBoth passive and activeIDMCmobile phone data (CDR)satellite imagery (night light etc.)Probably feasible with state-of-the-art
Facebook, Vodafone, Telefonica, Thinking Machines
Justin Ginnetti, Pedro Rente Lourenco, Andi Gros
14
Offline data collection
How to collect data with restricted energy supply and connectivity
Migration and DisplacementIOMNeeds technological break-throughEduardo Zambrano
15
Forecasting magnitude, location and duration of disaster displacement
How can we estimate these future movements as accurately as possible?
Migration and DisplacementBoth passive and activeIDMCmobile phone data (CDR)OtherProbably feasible with state-of-the-art
IDMC, Facebook, Vodaphone, Telefonica, Pulse Lab Jakarta
Justin Ginnetti, Muhammad Rizal Khaefi
16
Detecting incidents of displacement
NLP analysis in multiple languages of multiple types of data and NER of images
Migration and DisplacementBoth passive and activeIDMCpublic social media posts (Twitter, Instagram, ...)OtherProbably feasible with state-of-the-artQCRI (AIDR)
Justin Ginnetti, Muhammad Imran, Ferda Ofli, Kareem Darwish and Ahmed Abdelali
17
Rapid ground truthing of displacementCan we use mobile phoneMigration and DisplacementBoth passive and activeIDMCpublic social media posts (Twitter, Instagram, ...)
QCRI (AIDR, Micromapper)
Justin Ginnetti, Muhammad Imran, Ferda Ofli
18
Understanding the characteristics and needs of displaced people
Can we use mobile phone insights and social media data to infer the needs of displaced people and understand their characteristics (e.g. sex, age)?
Migration and DisplacementPassive data collection and analysisIDMCmobile phone data (CDR)aggregate advertising data (Facebook, LinkedIn, ...)Probably feasible with state-of-the-art
Facebook, iMMAP
Justin Ginnetti
19
Building more user-oriented models and decision-support tools (for preparing for/responding to displacement)
How can our outputs look better and be used more?
Migration and DisplacementOtherIDMCOthersolid off-the-shelf solutions will do
IDMC, Thinking Machines
Justin Ginnetti, Pedro Rente Lourenco
20
Understanding magnitude and drivers of cross-border displacement
How can we infer patterns of cross-border movements and the factors that facilitate and/or inhibit them
Migration and DisplacementPassive data collection and analysisIDMCUNHCRmobile phone data (CDR)aggregate advertising data (Facebook, LinkedIn, ...)Probably feasible with state-of-the-art
IDMC, Vodafone, iMMAP, others
Justin Ginnetti, Pedro Rente Lourenco
21
"Data Fusion": Robust / Real-time Measurement of labor (and other economic) indicators
Combining Data Big Sources to Improve Nowcasting Accuracy
Decent Work and Economic Growth (#8)Both passive and activeWorld BankOtherpublic social media posts (Twitter, Instagram, ...)mobile phone data (CDR)Probably feasible with state-of-the-art
Northeastern/Harvard/World Bank
Sam Fraiberger
22
AI for education and digital education for refugees
1) How can we provide digital education for those who are unable to access traditional education 2) How can we map damaged education infrastructure to identify those in need of education assistance 3) How can we track student migration to better support mobile education (digital or formal?)
Quality Education (#4)Both passive and activeEAAmobile phone data (CDR)mobile appProbably feasible with state-of-the-artQCRI, UNICEFHaya Thowfeek, Maleiha Malek
23
Migration Patterns in MENA
Understanding Migration Both Within And Across Countries, Measuring Migrations Flows by Demographic Type
Sustainable Cities and Communities (#11)Both passive and activeWorld Bankaggregate advertising data (Facebook, LinkedIn, ...)mobile phone data (CDR)Probably feasible with state-of-the-artWorld BankSam Fraiberger
Loading...