This proposal will design, build, and test a system, Peer+, to identify and serve Peer Instruction questions in interactive ebooks, increasing knowledge about effective STEAM education.

This project aims at accounting for the "human" in emotion recognition technologies.

This project focuses on providing COVID-19 forecasting and modeling for the State of Michigan.

This project will develop and validate a new research instrument enabling quantitative and comparative assessment of the privacy expectations and behaviors of exposure-sensitive populations’ such as immigrants, religious minorities and other adults. It will focus in particular on how these expectations and behaviors are misaligned with objective privacy risks.

This work will focus on emotions and users’ attitudes towards emotion recognition technologies to contribute to our knowledge about socially and ethically responsible use and treatment of data in algorithmic decision-making that impacts humans’ personal lives.

In this research, we seek to design technologies with trans individuals and communities to make positive social impact for this population.

Lesbian, gay, bisexual, transgender, and queer (LGBTQ+) youth use the internet as a vital resource for finding health information. Understanding the role of the internet and social media in the online health education information practices of LGBTQ+ youth will inform how to best meet their information needs.

This research examines the causes and consequences of online platforms banning users and content that do not actually violate site policies, or fall into gray areas with respect to site policies and community norms.

With funding from the University of Michigan’s Mcity, Lionel Robert and colleagues will research factors that influence takeover readiness in advancing levels of automated driving.