TADA-BSSR Webinar — Integrating Data Analytics into the Social and Behavioral Science Research Lifecycle

TADA-BSSR Webinar Series

CSS Training Program

May 20, 2021
9:00am to 10:00am
Virtual Presentation




The Training in Advanced Data Analytics for Behavioral and Social Sciences (TADA-BSSR) Webinar Series is a virtual lecture series that covers advanced data analytics and data science underlying modern behavioral and social sciences research, with presentations from experts showing the basics of data management, representation, computation, statistical inference, data modeling, causal inference, and various other topics relevant to “big data” and teaching for behavioral and social sciences researchers.

TADA-BSSR Webinar Series
Integrating Data Analytics into the Social and Behavioral Science Research Lifecycle
Date: Thursday, May 20, 2021
Time: 9:00 – 10:00 AM Pacific / 12:00 – 1:00 PM Eastern Time 
Registration: Register to receive Zoom access linkRegistration link will be available when speaker is announced. This event is FREE to attend, but pre-registration is required. Presentations will be streamed live on Zoom, recorded, and archived on YouTube.

Speakers: Hannah L. F. Cooper, Sc.D. & Lance Waller, Ph.D., Rollins School of Public Health at Emory University
Overview: We will dedicate this discussion to exploring the ways that elements of Cook and Campbell’s validity framework can strengthen analyses of “big data” that are designed to study, monitor, and intervene in drug-related harms. We will discuss the relevance of specific threats to internal validity, external validity, and statistical conclusion validity to these analyses, and strategies to minimize these threats.


The TADA-BSSR program supports Behavioral and Social Sciences Research (BSSR) predoctoral training programs that focus on innovative computational and/or data science analytic approaches and their incorporation into training for the future BSSR health research workforce. The vision of the TADA-BSSR program is to support the development of a cohort of specialized predoctoral candidates who will possess advanced competencies in data science analytics to apply to an increasingly complex landscape of behavioral and social health-related big data.

This series highlights research projects and topics in scope of the Computational Social Science Training Program at BIDS, as well as related programs at other national universities that are funded by the National Institutes of Health (NIH) Office of Behavioral and Social Sciences Research (OBSSR).  The program at BIDS is aligned with the Eunice Kennedy Shriver National Institute of Child Health and Human Development.