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Funded Research Projects

Collaborative Research: SaTC: CORE: Medium: PRIVASEER: A LARGE-SCALE, LONGITUDINAL RESOURCE TO ADVANCE TECHNICAL AND LEGAL UNDERSTANDING OF TEXTUAL INFORMATION ABOUT PRIVACY

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The project focuses on building a resource called PrivaSeer that will bolster consumer privacy protection and  help realize long-standing goals to make online privacy manageable for consumers, regulators, and others invested in the future of our information society.

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MI Safe Start Map

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This grant supports work on MI Start Map, a dashboard designed to monitor the status of COVID-19 indicators across the state of Michigan. The dashboard assists public health officials in making state, regional, and county-level decisions related to COVID-19, and provides the general public with insight into some of the indicators that affect these public health decisions.

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Improving Undergraduate Computing Education through Peer Instruction and Interactive Ebook

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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.

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EAGER: SaTC: Towards Accounting for the Human in Emotion Recognition Technologies

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

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Enabling Comparative Analysis of Privacy Expectation-Risk Misalignments in Exposure-sensitive Populations

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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.

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CAREER: Toward Equitable Social Media Content Moderation for Marginalized Individuals and Communities

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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.

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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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Developing Evidence-based Data Sharing and Archiving Policies

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To find out the best ways to share and archive research data, Libby Hemphill studies the impact of different "curatorial actions" on the reuse of data archived by the Inter-university Consortium for Political and Social Research.

 

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Scalable Remote Peer Help for Programming Education

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The proposed work will allow students to more easily seek help from their peers in the context of programming courses.

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