Coded Bias panel discussion

Thursday, April 15 - 4 p.m.

Join a panel of U-M faculty members for an "At the Movies" style discussion of the film, Coded Bias. You can watch the film for free on demand from April 8—14.

Panelists will discuss the movie and the challenges presented by technologies that can reflect and amplify the systemic biases in American society.

Join us via Zoom at 4:00 p.m. on April 15.

Add the movie viewing to your Google calendar.

Add the panel discussion on April 15 to your Google calendar.

Speakers

Dr. Andalibi

Nazanin Andalibi

Assistant Professor of Information, School of Information, and Assistant Professor of Digital Studies Institute, College of Literature, Science, and the Arts

Nazanin Andalibi uses mixed methods to investigate social media’s use and roles in relation to self-disclosure, social support exchange, and other disclosure behavior outcomes and responses to them. She concentrates on experiences that can be distressing, traumatizing, isolating, or stigmatized, and contribute to poor wellbeing. Broadly, in these contexts, she addresses how we can design social computing systems that facilitate beneficial sensitive disclosures and desired disclosure outcomes such as (but not limited to) exchanging social support, meaningful interactions, reciprocal disclosures, and reduced stigma. Some contexts of her work has focused on in the past include: mental health, sexual abuse, and pregnancy loss.

Dr. Andalibi received an MS in Socio-Technical Systems from Stevens Institute of Technology and a PhD in Information Studies from Drexel University.
 


Dr. Liu

Mingyan Liu

Peter and Evelyn Fuss Chair of Electrical and Computer Engineering, Department of Electrical Engineering and Computer Science

Mingyan Liu's research interests are in optimal resource allocation, sequential decision theory, incentive design, and performance modeling and analysis, all within the context of communication networks. Dr. Liu’s most recent research activities involve online learning, modeling and mining of large scale Internet measurement data, and the design of incentive mechanisms for cybersecurity. She received an MS in Systems Engineering (1997) and a PhD in Electrical Engineering (2000) from the University of Maryland, College Park.

Dr. Liu was a recipient of the 2002 NSF CAREER Award, the University of Michigan Elizabeth C. Crosby Research Award in 2003 and 2014, the 2010 EECS Department Outstanding Achievement Award, the 2015 College of Engineering Excellence in Education Award, and the 2017 College of Engineering Excellence in Service Award. She received a number of Best Paper Awards, including one at the IEEE/ACM International Conference on Information Processing in Sensor Networks (IPSN) in 2012 and one at the IEEE/ACM International Conference on Data Science and Advanced Analytics (DSAA) in 2014. She has served on the editorial boards of IEEE/ACM Trans. Networking, IEEE Trans. Mobile Computing, and ACM Trans. Sensor Networks and is a Fellow of the IEEE and a member of the ACM.


Professor Nicholson Price

Nicholson Price

Professor of Law, U-M Law School

Nicholson Price teaches and writes in the areas of intellectual property, health law, and regulation, particularly focusing on the law surrounding innovation in the life sciences. He previously was an assistant professor of law at the University of New Hampshire School of Law, an academic fellow at the Petrie-Flom Center for Health Law Policy, Biotechnology, and Bioethics at Harvard Law School, and a visiting scholar at the University of California, Hastings College of the Law. He clerked for the Hon. Carlos T. Bea of the U.S. Court of Appeals for the Ninth Circuit. He received a JD and a PhD in biological sciences from Columbia University and an AB in biological sciences from Harvard College.​


Dr. Trinidad

Grace Trinidad

Ethics, Legal, and Social Implications (ELSI) postdoctoral fellow, School of Public Health

Grace Trinidad holds a PhD in Health Infrastructures and Learning Systems from the University of Michigan, where she conducted research on privacy and trust and on public attitudes towards sharing health data with third-party commercial companies. Prior to earning her PhD, she earned a Master of Science in Design and Health from the Taubman College of Architecture and Urban Planning and a Master of Public Health from the University of Michigan School of Public Health.