Creating credentialing infrastructure to enable collaboration, facilitate data reuse, make researchers' credentials more transparent, and make data accessible while respecting the privacy of data users.

UMSI's Ceren Budak aims to improve our understanding of how online movements are formed, how they evolve, how the participants coordinate, and how movements change their participants and the public.

Libby Hemphill will produce instructional materials designed to increase data science literacy among postsecondary students and researchers.

With a grant from the National Academy Keck Futures Initiative, UMSI's Kentaro Toyama is combining community-based content development with participatory technology design and deployment for maternal and child health education in low-literacy communities. 

A grant from the National Science Foundation will help communicative visualization designers express how viewers should learn something with, or about, the data represented in their visualizations. 

Funded by a grant from the National Science Foundation, this project investigates the role that justice can play in responding to online harassment in order to promote perceptions of fairness and reduce likelihood of future harassment.

With a grant from Mozilla, UMSI's Libby Hemphill will use machine learning to teach bots how to de-escalate hostile social-media threads.

With the use of classifiers, a conversation finder tool, conversation coach, message assistant, and message impact assessor, this project will make it easier for people to find high quality online conversations.

This project, centered at the University of Michigan, studies how libraries impact learning, with a grant from the Institute of Museum and Library Services. 

The study, conducted in collaboration with UNIFIED - HIV Health and Beyond, involves semi-structured interviews with young Black men who have sex with men and transgender women who have used a text-messaging based service that aims to assist young people with HIV/AIDS in taking medications as prescribed. The study asks how users managed privacy concerns in using the service, how they integrated the service into their medication-taking practices and everyday lives, their response to the messages over time, and their perspectives on how the service could be improved in the future.