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Start Generating: Harnessing Generative Artificial Intelligence for Sociological Research

Wednesday, May 8, 2024 12:00to13:00

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Join our May Lunch & Learn session with Thomas Davidson, an Assistant Professor in the Department of Sociology at Rutgers University.  Professor Davidson will speak on the development of Generative Artificial Intelligence(GAI), for example how ChatGPT has raised significant public debate. He will particularly focus on the applications of the technologies as methods for quantitative research and examining potential applications in three different areas including computational, experimental and quantitative research. Our event will delve into the implications of GAL for bias and bias mitigation efforts, shedding light on the potential risks and opportunities that arise in the pursuit of fair and equitable AI systems. Some of Professor Davidson’s current research examines how digital trace data from social media and other websites combined with statistical analysis and computational methods, including natural language processing and machine learning.

Itinerary 

12:00 - 12:05 | Welcome and introductions

12:05 - 12:45 | Lunch&Learn presentation

12:45 - 12:55 | Moderated Q&A session

12:55 - 13:00 | Closing and upcoming sessions

Location

This is an online webinar hosted on Zoom. To receive details to enter the event, please register.  

Featured Speaker

Thomas Davidson

Assistant Professor in the Department of Sociology, Rutgers University

Thomas Davidson is an Assistant Professor in the Department of Sociology at Rutgers University. His research interests include political sociology, social movements, and the sociology of culture. His research uses digital trace data from social media and other websites combined with statistical analysis and computational methods, including natural language processing and machine learning. He is currently working on several projects on populism, far-right politics, and hate speech on social media, as well as methodological work on the uses of generative AI for sociological research.

Classified as: Analytics, data story, CAnD3, LUNCH&LEARN, Consortium on Analytics for Data-Driven Decision-Making, population aging, data science, population data, data-driven decision-making, population health
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2024 CAnD3 Keynote Address: Health inequities: Looking to the past and the future

Monday, June 3, 2024 10:30to14:30

We are excited to welcome you to the 2024 CAnD3 Keynote Address! This hybrid event is the culmination of the 2023-2024 Training Program. CAnD3 is thrilled to have two amazing speakers, Dr. Siddiqi and Dr. Carabali, joining us for what will be a great Keynote Address. We are also excited to host for the first time the Dragon's Den finals in person where the finalists from the 2023/2024 cohort will compete for the grand prize! The Fellows will also give us a glimpse on their work done in data-driven decision making alongside our incredible partners. This will be a moment to celebrate the past four cohorts of CAnD3 Fellows from 2020 to 2024 and welcome the incoming cohort for 2024/2025.

We hope that you will join us, whether in-person or virtually, for this exciting celebration of our program's successful delivery. To learn more about the CAnD3 program and our impact, read our recently released annual report.

Itinerary 

10:30 - 11:00 | Registration with coffee

11:00 - 12:15 | Keynote Lecture by Dr. Arjumand Siddiqi and Dr. Mabel Carabali

More about Dr. Arjumand Siddiqi and Dr. Mabel Carabali

Dr. Arjumand Siddiqi

Professor, Population Health Equity, University of Toronto

Senior Scientist and Edwin S.H. Leong Chair of Child Policy Research, Hospital for Sick Children, Toronto, Canada.

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Arjumand Siddiqi is Professor and Canada Research Chair in Population Health Equity at the Dalla Lana School of Public Health, University of Toronto, and Senior Scientist and Edwin S.H. Leong Chair of Child Policy Research at the Hospital for Sick Children, Toronto, Canada. At University of Toronto, she is also appointed in Sociology, Public Policy, and Women and Gender Studies, and is a Senior Fellow of Massey College. She holds Adjunct Professorships at Harvard University and the University of North Carolina – Chapel Hill. Dr. Siddiqi’s research focuses on understanding the nature and causes of health inequities, with particular emphasis on how they are influenced by social policies and other societal conditions. Dr. Siddiqi frequently works with organizations, including governments and international agencies, on issues of social determinants of health, health inequalities, and related matters. She was a member of the World Health Organization Commission on Social Determinants of Health. She is the recipient of the 2022 Canadian Institutes of Health Research, Institute of Population and Public Health Mid-Career Trailblazer Award.  She received her doctorate in Social Epidemiology from the Harvard T.H. Chan School of Public Health.

 

Dr. Mabel Carabali

Professor, Department of Epidemiology, Biostatistics, & Occupational Health, McGill University

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Dr. Mabel Carabali obtained her medical degree from the Universidad Libre in Colombia, a PhD in epidemiology from McGill University and did her postdoctoral training at the Social Epidemiology Lab at the Dalla Lana School of Public Health at the University of Toronto. Dr. Carabali held a position as Assistant Professor at Université de Montréal and has more than 14 years of experience in international epidemiological and biomedical research of infectious diseases and social epidemiology. Dr. Carabali is a social and infectious diseases epidemiologist and her current research focuses on assessing the effect of underreporting and misclassification of the outcome and socioeconomic exposures in infectious diseases; and the expansion of statistical methods for the study and understanding of intersectionality. Other projects include fever surveillance studies for emergent pathogens in Latin America, the analysis of social determinants and socioeconomic disparities for different outcomes in urban settings of the Pan-American region, and racial inequalities and spatiotemporal distribution of police fatal encounters in the US. Dr. Carabali is also an Associate Editor at PLosNeglected Tropical Diseases (PLos NTD).

 

Classified as: Analytics, data story, CAnD3, LUNCH&LEARN, Consortium on Analytics for Data-Driven Decision-Making, population aging, data science, population data, data-driven decision-making, population health
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