Putting our values into practice in data science | Megan Price, Jennifer Pan, Trina Reynolds-Tyler
About This Video
Panel: Putting our values into practice in data science work
In This Video
Executive Director, HRDAG (Human Rights Data Analysis Group)
As the Executive Director of the Human Rights Data Analysis Group, Megan Price drives the organization’s overarching strategy, leads scientific projects, and presents HRDAG’s work to diverse audiences. Her scientific work includes analyzing documents from the National Police Archive in Guatemala and contributing analyses submitted as evidence in multiple court cases in Guatemala. Her work in Syria includes collaborating with the Office of the United Nations High Commissioner of Human Rights (OHCHR) and Amnesty International on several analyses of conflict-related deaths in that country. She has also contributed to analyses of “risk assessment” models used to make recommendations about pre-trial supervision in the United States.
Professor of Communication and FSI Senior Fellow, Stanford University
Jennifer Pan is a Professor of Communication and Senior Fellow at the Freeman Spogli Institute at Stanford University. Her research resides at the intersection of political communication and authoritarian politics. Using large-scale datasets on political activity in China and other authoritarian countries, her work answers questions about how autocrats perpetuate their rule; how political censorship, propaganda, and information manipulation work in the digital age; and how preferences and behaviors are shaped as a result. Her papers have appeared in peer-reviewed publications such as Science, the American Political Science Review, the American Journal of Political Science, and Journal of Politics. She graduated from Princeton University, summa cum laude, and received her Ph.D. from Harvard University‚Äôs Department of Government.
Data Director, Invisible Institute
Trina Reynolds-Tyler is the Data Director at the Invisible Institute, an abolitionist, and a native of south side Chicago. She leads Beneath the Surface, a project employing machine learning to identify gender based violence at the hands of Chicago police. Trina works to document how communities unable to depend on the police are creating safety and accountability outside of the carceral state. As a data scientist, she centers the practice of narrative justice in her inquiries.
Trina organizes with Not Me We, and is serving on a University of Chicago council attempting to measure the institution‚Äôs impact on the south side population. She developed the skills to use data science for real world problems as a Pozen Center for Human Rights intern with the Human Rights Data Analysis Group (HRDAG), and was a Pearson Institute Fellow. Trina holds a masters degree in public policy from the University of Chicago.