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UMSN Faculty Development Seminar��Analytics Skills Enhancement Training - Tracking research publications, extramural grant funding & scholarly output

Ivo D. Dinov, UMSN

https://www.socr.umich.edu/people/dinov

Title: Nursing and Healthcare 2030 – AI Promises and Perils in Education, Scholarship & Clinical Practice
Abstract: This presentation will outline some personal views of the history, status-quo, and future promises and potential perils of artificial intelligence (AI) in health science education, nursing scholarship, and implications on clinical practice over the next decade. Collective understanding of these challenges and opportunities is important to prevent a widening AI-divide and promote meaningful integration of human and machine intelligence in all aspects of healthcare, from education and training to resource management, administrative processes, equitable distribution, and clinical practice.
AI-literacy and preparedness of the healthcare workforce require adequate knowledge, skills, and competencies to deal with complex situations, e.g., untangling “reality and hype”, understanding “theory and practice”, differentiating “perception and knowledge”, recognizing “accessibility problems”, e.g., haves and have-nots. The academic community is uniquely positioned to respond to this demand. However, expectations of an exclusive, perfect, optimal, global, and stable solution may be unrealistic. Lack of timely and proportional academic community actions may lead to divergence between our education mission and on-the-job market demands of our graduates (higher-ed vs. TikTok education paradigm shift). Three specific live demos will be shown that illustrate the power of AI to enhance human abilities – simulate realistic free text, synthetically generate brain images, and human-language to computer program creation. The technology is already in place. What is uncertain is how to pragmatically utilize it in educational settings, R&D scholarship activities, translational science discoveries, and clinical practice improvements.

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Outline

Effective practices to plan, manage, conduct, compile, and share formative and summative outcomes of faculty scholarship in all areas, from basic science to translational and clinical research, and applied healthcare

General pillars of academic scholarship
Norms of Scientific Conduct - Merton’s Universalism, Communality, Disinterestedness & Organized Skepticism
Mechanisms for tracking and reporting scholarship activities
Examples of free online SOCR resources, including many nursing and health case-studies
Sharing of collective community experiences

Abstract: This faculty development seminar will offer some perspectives on faculty analytics skills enhancement and tracking research publications, extramural grant funding and scholarly output. There will be plenty of opportunities for active-learning and participant-led discussions. The focus will be on sharing effective practices to plan, manage, conduct, compile, and share formative and summative outcomes of faculty scholarship in all areas, from basic science to translational and clinical research, and applied healthcare. Specific topics of discussion will include (1) general pillars of academic scholarship, (2) mechanisms for tracking and reporting scholarship activities, (3) examples of free online Statistics Online Computational Resources, including many nursing and health case-studies, and (4) sharing of collective community experiences.

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General pillars of academic scholarship

Publishers

Peer-reviewed: Open-Access or Not-Open-Access – be very vigilant, apply the “smell test”
Promotional: “connecting science with society” (e.g., www.ResearchOutreach.org)

Journals (Open-Access or Not-Open-Access):

Publish with us … (discount, waiving fees, impact factor carrots, freebees, etc.)
Review for us … (journals, foundations, (non)profits, institutes/centers, etc.)

Conferences

Most email invites to present (featured/keynote/etc.) are fake. Ignore, avoid, do not respond, delete.
Las Vegas, SE Asia, Dubai, etc. – be very cognizant
Avoid for profit events, e.g., http://info.vit.ac.in/IndianaSummit2019/index.asp

Boards

Fake organizations – too many to list
Real/prestigious organizations – read fine-print (e.g., Nature Scientific Reports Editorial Board: https://www.nature.com/content/NR/SREB.pdf).

Phishing Schemes:

See: https://www.chronicle.com/article/Phishing-Scheme-Targets/245535
Many of us may have received multiple emails from a fake Dean account asking for contact …
See: https://info.umkc.edu/umatters/19685/
Phone calls may also happen – never give any useful info over the phone – you will be spoofed.
Phony recruitment schemes …

Cyber hygiene

Obvious common sense (Use Duo authentication, never share account info/credentials, report immediately problems/misuse)
Many Delaware-registered orgs are shells (or fake).
Big Promo Invites are likely to be fake; stay away.
Scrutinize the Inviter (email address, org, credentials, match of topic, credibility, person, etc.)
Check with colleagues, search online forums, investigate the person/organization
No prior communication is a red-flag
Always research the program, org, inviter, activity details, etc.
Never click on URL links - bring mouse-over to see the actual URL address behind the link.

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Norms of Scientific Conduct�Merton’s Universalism, Communality, Disinterestedness & Organized Skepticism

The sociologist Robert Merton argued in 1942 that no formal scientific code of conduct exists and proposed:

Universalism – scientific claims must be held to objective and “preestablished impersonal criteria”, e.g., peer review.

Communality – (“Communism”) scientific discoveries are common property to the scientific community and that scientific progress relies on open communication and sharing.

Disinterestedness – limit the influence of bias for the sake of science, rather than self-interest or power.

“Cultism, informal cliques, prolific but trivial publications – these and other techniques may be used for self-aggrandizement. But, in general, spurious claims appear to be negligible and ineffective. The translation of the norm of disinterestedness into practice is effectively supported by the ultimate accountability of scientists to their compeers.”

Disinterestedness is difficult to achieve… Who gets to prioritize research: those who fund, implement, or publish it? How much influence does the public have in this process and how much should they have? It’s not an issue we delve much deeper into in this course, but it’s definitely an important one.

Organized Skepticism – necessity of proof or verification subjects science to more scrutiny than any other field – peer review, reproducibility, replicability, robustness, credibility.

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Mechanisms for tracking and reporting scholarship activities

Publications

Grants

Education (teaching, training, upskilling, refreshers, MOOCs, outreach, train-the-trainer, level playing field)

Clinical Practice

Resources (data, tools, instruments, software, surveys, apps, infrastructure, communities, etc.)

Presentations and Organization of Conferences

Reviews & Boards

Other (patents, websites, etc.)

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Examples of free online SoN Resources

SoN Research: https://nursing.umich.edu/research
Statistics Online Computational Resource (SOCR): https://www.socr.umich.edu/
P20: Center for Complexity and Self-management of Chronic Disease (CSCD): https://socr.umich.edu/CSCD/
Health Analytics Collaboratory (HAC): https://hac.nursing.umich.edu/
SOCR Events: https://wiki.socr.umich.edu/index.php/SOCR_News
Data: https://wiki.socr.umich.edu/index.php/SOCR_Data
Apps: https://socr.umich.edu/HTML5/
Resource navigators (graphical, key phrase search)
Electronic books
MOOCs
Driving STEM-motivational challenges and open data resources
Software tools, R-packages, DSPA active-learning resources, and webapps,
Collaborative Open-Science (GitHub, Ongoing Research Project, Consulting, Pubs)

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Sharing of collective community experiences

… (everyone) …

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Acknowledgments

Funding

NIH: UL1 TR002240, R01 CA233487, R01 MH121079, R01 MH126137, T32 GM141746

NSF: 1916425, 1734853, 1636840, 1416953, 0716055, 1023115

Open Science Community

SOCR AI Bot is powered by R/RStudio/Posit, ChatGPT, OpenAI, RTutor & CRAN

Collaborators

SOCR: Zerihun Bekele, Milen Velev, Yueyang Shen, Kaiming Cheng, Shihang Li, Daxuan Deng, Zijing Li, Yongkai Qiu, Zhe Yin, Yufei Yang, Yuxin Wang, Rongqian Zhang, Yuyao Liu, Yupeng Zhang, Yunjie Guo, Simeone Marino
UMSN/DCMB/MIDAS/MCAIM Centers: Dana Tschannen, Chris Anderson, Michelle Aebersold, Maureen Sartor, Josh Welch, Maryam Bagherian, Lydia Bieri, Kayvan Najarian, Chris Monk, Issam El Naqa, Brian Athey

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Demos

Interactive Pressure Injury Prediction Model (PIPM) App (RShiny)

Visual Exploratory Data Analytics (SOCR TB Webapp)

Quantitative AI-driven Analytics (SOCR AI Bot)

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Demos of Available Resources

SOCR Motto – “It’s Online & Freely Accessible, Therefore it Exists!”

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Pubs: https://socr.umich.edu/people/dinov/publications.html
GitHub: https://github.com/SOCR/PressureInjuryPrediction
PIPM App: https://rcompute.nursing.umich.edu/PIPM_v2/
AI Apps: https://socr.umich.edu/HTML5/
SOCR AI Bot: https://rcompute.nursing.umich.edu/SOCR_AI_Bot/
Demos: https://DSPA2.predictive.space (Appendix 9 – OpenAI Synth Text Img & Code)
Tutorials: https://TCIU.predictive.space & https://SpaceKime.org
Websites: https://nursing.umich.edu & https://socr.umich.edu

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AI Demo – Synthetic text, images & code

Go to SOCR App Website: https://socr.umich.edu/HTML5/
Launch the SOCR AI Bot: https://rcompute.nursing.umich.edu/SOCR_AI_Bot/
AI coding using human prompts (“attitude” data: Generate pairs plot. Fit a linear model predicting complaints from rating)
AI Text generation (Essay on the Expected health disparities and racial inequality in the US in 2030)
AI brain image generation (Generate a 2D sagittal MRI brain image of an Alzheimer's disease patient)
AI-driven human-learning
Detailed instruction, code, docs: DSPA Appendix 9 (OpenAI Synth Text Img & Code) https://DSPA2.predictive.space

Basic

Synth Text

Synth Images

Data

Report

EDA / Viz

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