The project addresses bottlenecks in scientific and engineering research workforce development by developing and offering three instructional activities: (a) a project-based course in which students work directly with Michigan communities to design cyberinfrastructure tools, and (b) two massive, open online courses (MOOCs) in which students learn the fundamentals of data science for work in the public sector.
This research examines a series of sociotechnical experiments in the American Midwest that invest in the promise of entrepreneurial agency and data-driven solutions to address complex economic and societal challenges. Drawing from ethnographic research and co-design, this project examines both the challenges and opportunities of such regional experimentation, working closely with the most vulnerable groups of the population who are often harmed by rather than benefitting from the experimental interventions currently unfolding.
A grant from the National Center for Institutional Diversity at the University of Michigan is funding research on how people use social media during life transitions.
This project will advance data-driven methods to generate localized and community-centric insights, using new social media sources, about health behaviors and attitudes at the census tract level.
Daniel Romero is studying how people on social media react during fast-changing situations such as natural disasters and political unrest, and how it affects information diffusion dynamics.
