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Funded Research Projects

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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Humans and Their Emotions? A Critical Take on Emotion Recognition-Enabled Voice Assistants

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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.

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Designing Trans Technologies

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

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Online Mental Health, Substance Use, and Sex Education Resources for LGBTQ+ Young People

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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.

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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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FW-HTF-RM: Collaborative Research: Augmenting Social Media Content Moderation

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UMSI's activities in the project include designing, developing, and testing a suite of tools for live streaming moderators. These tools will focus on helping moderators dynamically manage their emotional and cognitive capabilities

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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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CyberTraining: CIU: Preparing the Public Sector Research Workforce to Impact Communities through Data Science

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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.

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