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Funded Research Projects

Developing standard metrics for measuring takeover performance in highly automated driving (SAE level 3 and above)

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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.

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Social Determinants of Health Screening Implementation: Bridging Clinic and Community to Improve Healthcare Outcomes

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This study examines social determinants of health (SDOH) screening practices in a variety of clinical settings through an evidence review, interviews with patients and clinicians, observations, and development of a prototype tool for SDOH screening. We anticipate that findings will benefit create generalizable knowledge about standardization, its impact on health care providers and patients, and the design of screening tools to to reflect the unique characteristics of SDOH data.

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Fostering Sustainable Community-based Entrepreneurship via the Detroit Neighborhood Tours Collective

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Visitors can enjoy four new urban tours in Detroit thanks to a grant from the Ginsburg Center. 

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Alternative Workflows for Crowdsourced Evaluation of Misinformation

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This project will explore the effects of several alternative workflows on community judgments of whether information is misleading.

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Michigan Library Leadership Cohort Membership

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With a grant from the Michigan Department of Education, UMSI's Kristin Fontichiaro is developing a Michigan Library Leadership Cohort. 

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Major Life Events and Social Media in Contemporary Society

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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. 

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Researching and Improving New Online Spaces to Support Transgender Wellbeing

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This research examines social technologies designed to support transgender individuals and communities.

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Mining social media to characterize community health

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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.

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Measuring the Bias in Predictive Models of Student Success

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UMSI faculty Chris Brooks and Florian Schaub are studying the intersection of privacy and bias in learning analytics.

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