My Chatbot is Hallucinating about your Digital Trace. A discussion about the future of computational social sciences in the era of AI.
Moderator: Dr. Craig Hill, Senior Vice President, Social, Statistical, and Environmental Sciences, RTI International, USA
Emily Hadley, MS, RTI
Emily Hadley is a Research Data Scientist with the RTI International Center for Data Science. Her technical contributions include machine learning, natural language processing, and predictive modeling efforts for education, criminal justice, and public health research projects. Her recent publications have focused on Long COVID, health equity and disparities, and responsible AI. Emily is a proponent of ethical development of AI and actively leading research related to addressing bias and equity in data science.
Dr. Jan Höhne, Leibniz University Hannover
Dr. Ellie Graeden, Georgetown University
Ellie Graeden, PhD, is a Research Professor with the Georgetown University Center for Global Health Science and Security. Dr. Graeden spent the last decade establishing and leading a private company, Talus Analytics, in designing and building data products to solve challenging problems at the intersection of policy, science, and strategy. She now leads the health intelligence research pillar at the Center, including a team of data scientists, where she uses data architecture and engineering to address challenges in global data sharing for health response and investment. Dr. Graeden has supported federal and state governments to coordinate data-driven decision making for emergency management, including extensive work during COVID-19 response. Her work helping lead the analysis of policy and investments in global health security have been used by the United Nations Biological Weapons Convention Meeting of Experts, the Global Fund, and the G20. She and her team designed and developed data systems to collect and analyze policy data for HIV and COVID-19 and data on health care capacity for CDC.
Dr. Josh Pasek, University of Michigan
Josh Pasek is Associate Professor of Communication and Media and Political Science, Faculty Associate at the Center for Political Studies, Institute for Social Research, and Associate Director of the Michigan Institute for Data Science at the University of Michigan. His research explores how new media and psychological processes each shape political attitudes, public opinion, and political behaviors. Josh also examines issues in the measurement of public opinion including techniques for reducing measurement error and improving survey design. Current research explores how political information might influence public opinion and voter decision-making, evaluates whether the use of online social networking sites such as Facebook and Twitter might be changing the political information environment, and assesses the differences between survey results obtained from Internet volunteers as opposed to traditional samples. His work has been published in Public Opinion Quarterly, Political Communication, Communication Research, and the Journal of Information Technology and Politics among other outlets.