The National Consortium for Data Science looks forward to hosting Christopher Lam, CEO of Epistamai, as he discusses AI Ethics Through the Lens of Causality: A Theory of Fairness.
To understand fairness, one must unify central ideas from the social sciences and humanities to mathematics and computer science. Join Christopher Lam, CEO of Epistamai, as he shows how to model a principal cause of algorithmic bias and directly map it to the two fundamental laws of causal inference. Additionally, he will show how to bridge the field of causal inference to machine learning, providing us with a novel way to visualize the different ways that a supervised machine learning model can discriminate. These causal models may help policymakers on both sides of the aisle to modernize AI regulations so that they are aligned to society’s values.
This online training will provide an introduction to qualitative data analysis, focusing on content/thematic analysis. The session will cover the basics of qualitative data analysis and steps in the analysis process, including: transcribing, memoing, codebook development and coding, exploring content areas or themes, and interpreting and communicating findings. Participants will have the opportunity to practice developing and applying codes.
Please note: We will not be demonstrating how to use qualitative data analysis software during this session.
MaryBeth Grewe, MPH
Engagement and Qualitative Research Specialist
NC TraCS Institute
Simone Frank, MPH
Community Engagement and Outreach Specialist
NC TraCS Institute
UNC NRP June 2023 Education Session: State of the OHRE/IRB
Please join the UNC Network for Research Professionals and Carley Emerson, MS, CIP, Director of the Office of Human Research Ethics (OHRE), for a presentation on the state of the OHRE and IRB.
Objectives:
This NIH Collaboratory Rethinking Clinical Trials Grand Rounds features:
Miguel A. Vazquez, MD
Professor of Medicine
University of Texas Southwestern Medical Center
Dallas, TX
George Oliver, MD, PhD
Vice President Clinical Informatics
Parkland Center for Clinical Innovation
Dallas, TX