Lunch and Learn: Approaching Data Across the Disciplines
Overview
This lunch-time seminar series was aimed at sharing methodological approaches and building collaborative, data-focused teams for research in the social sciences and humanities. Through presentations from faculty members and graduate students, this series promoted the cross-disciplinary dissemination of research methods, fostered collaboration in the exploration of large-scale data sets, and helped build the skill sets of faculty and graduate students.
Series Format
Spring 2023
Topics and speakers:
Tuesday, February 21: Masha Krupenkin (Political Science) and Saber Khani (Sociology):
Methods/Data Type; Application:
Cell mobility data: Measuring the effect of Covid on economic activity
Web-scraping: Creating a database of faculty interests
Wednesday, March 29: Kate Willis and Noah Snyder (Earth and Environmental Science):
Methods/Data Type, Application:
Geographical information systems and geo-based data; Landscape and river mapping over time
Thursday, April 27: Theresa Betancourt, Sarah Jensen, and Matias Placencio-Castro (School of Social Work):
Methods/Data Type, Application:
Longitudinal data, cluster randomized trial; Early childhood development
Presentation title: Unpacking broader impact of interventions: Examining spillover effects of a parenting intervention in Rwanda
