Can collaborative systems science methods improve intervention strategies to reduce alcohol-related problems?
Wed, Feb 22, 2023 @ 02:00 PM - 03:00 PM
Thomas Lord Department of Computer Science
Conferences, Lectures, & Seminars
Speaker: Dr. Christina Mair, Associate Professor and Vice Chair for Research in the Department of Behavioral and Community Health Sciences at the University of Pittsburgh School of Public Health
Talk Title: Can collaborative systems science methods improve intervention strategies to reduce alcohol-related problems?
Abstract: Systems science approaches, such as agent-based models, provide the opportunity to compare a range of intervention implementation strategies in a simulated environment. The usefulness of a given model, however, is limited by its accuracy, focus, and salience to end users. In this talk, Dr. Mair will share a collaborator-designed systems model of alcohol-involved sexual violence on college campuses currently being developed through a series of collaborative model building sessions with a learning collaborative. Integrating collaborative model building with agent-based model development is an innovative, empirically-based approach that can improve implementation of effective strategies to address alcohol-involved sexual violence, promote preventive interventions, and stimulate campus-level policy and programmatic changes to reduce sexual violence among students.
This lecture satisfies requirements for CSCI 591: Research Colloquium.
Location: Register for the Zoom webinar here: https://usc.zoom.us/webinar/register/WN_O3DV23rCQNug1Plxj01MbA
Biography: Dr. Mair is an Associate Professor and Vice Chair for Research in the Department of Behavioral and Community Health Sciences at the University of Pittsburgh School of Public Health, with secondary appointments in the Clinical and Translational Sciences Institute and Department of Epidemiology. She also serves as Director of the Center for Social Dynamics and Community Health and Associate Director of the Public Health Dynamics Lab. Her research seeks to understand structural and contextual influences on substance use-related problems with the goal to reduce these problems in community settings.
Host: USC Center for AI in Society
More Info: https://cais.usc.edu/events/bridging-ethical-algorithms-law-and-practice-hiring-and-beyond/
Audiences: Everyone Is Invited
Contact: Asiroh Cham
Event Link: https://cais.usc.edu/events/bridging-ethical-algorithms-law-and-practice-hiring-and-beyond/