2021-2022 The Foundations of Biomedical Data Science virtual seminar series
The Foundations of Biomedical Data Science virtual seminar series is an exciting and topical set of regularly scheduled, weekly, webinar presentations covering the basics of data management, representation, computation, statistical inference, data modeling, & other topics relevant to "big data" biomedicine. The seminar series provides fundamental topic introductions suitable for individuals at all levels of the biomedical and computational sciences community. Research students, trainees, fellows, staff, and faculty will find the lecture series particularly informative. All are provided at no cost to participants.
All video presentations are streamed for live viewing, recorded, & posted online for future viewing & reference via YouTube https://www.youtube.com/channel/UCKIDQOa0JcUd3K9C1TS7FLQ/videos
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Check out the presentations already stored on the YouTube channel!
2021-2022 Virtual Seminar Series
Foundations of Biomedical Data Science YouTube Channel
Click on the title of each seminar below to watch the lecture!
- Data Activism and the Imagination of Biomedical Data Science by Ms. Renée Cummings, University of Virginia
- Predictive Analytics Monitoring at the Bedside by Dr. Randall Moorman, University of Virginia
- Introduction to use of Structured Medical Record Data by Ms. Johanna Loomba, University of Virginia
- Ethics, Equity and Transparency in Biomedical Research and the Role of the Good Pharma Scorecard by Dr. Jennifer Miller, Yale
- Practical Tools for Developing Ethical AI (And Why Principles Are Not Enough) by Dr. David Danks, University of California, San Diego
- Utilizing Deep Learning to Create Tailored Summary Outcome Metrics for Clinical Populations by Dr. Mark Albert, University of North Texas
- The Secret Lives of Predictive Models by Dr. Claudia Perlich, Two Sigma
- On the Necessity of Relational Ethics and Empathic Attunement for Data-Centric Technologies by Dr. Jarrett Zigon, University of Virginia
- Current Practice, Challenges and Perspectives on Single Cell Data Science by Dr. Lana Garmire, University of Michigan
- Ethical AI Requires Ethical Collaboration by Dr. Caitlin Donahue Wylie, University of Virginia
- The Moral Machine?: The Bioethical Implications of Algorithmic Intelligence in Health Care by Dr. LaTonya Trotter, University of Washington
- Addressing Key Challenges in Genomic and Health Data Sharing by Dr. Yann Joly, McGill University
- On Collective Wisdom When AI is Involved by Dr. Colin Allen, University of Pittsburgh
- A Beginner's Mind by Dr. Donna Chen, University of Virginia
- Team Science in Data Science: Bridging the Divide by Dr. Maritza Salazar Campo, University of California, Irvine
- Challenges for Research Ethics Governance in the Era of AI and Data Science Research by Dr. Edward Dove, University of Edinburgh School of Law
- Data Acumen in Action by Dr. Sallie Keller & Dr. Stephanie Shipp, University of Virginia
- Ethical Interactions in Scientific Teams as a Foundation for Ethical AI by Dr. Alison Antes of Washington University
- Interdisciplinarity in the Health Sciences and the Pursuit of Health Equity by Dr. Sean Valles, Michigan State University
- Instilling Diversity into a Data Science Undergraduate Curriculum by Dr. Brian Wright, University of Virginia
Please visit the Biomedical Data Science Innovation Lab webpage (http://innovation.lab.virginia.edu/) for the full list of expert speakers and their lecture schedule.
Based in the School of Arts and Sciences and the School of Data Science at the University of Virginia, this virtual seminar series is made possible by a grant from the National Institute of General Medical Sciences (1R25GM139080-01), support from iTHRIV (NIH Grant # UL1TR003015) and the UVA Brain Institute.