Health Informatics
Improving the ability to access, understand, and make use of health information.
Research Projects
Investigating the Information Practices of COVID Long-Haulers
Principal Investigator(s): Beth St. Jean Twanna Hodge Jane Behre J. Nicole Miller
Funder: State of MD
Research Areas: Health Informatics > Information Justice, Human Rights, and Technology Ethics > Library and Information Science
This project investigates the information needs, practices, and experiences of people who have long COVID ("COVID long-haulers") in order to learn more about their COVID-related information needs, the ways in which they have gone about fulfilling these needs, and their information-related experiences. W
Principal Investigator(s): Beth St. Jean Twanna Hodge Jane Behre J. Nicole Miller
Funder: State of MD
Research Areas: Health Informatics > Information Justice, Human Rights, and Technology Ethics > Library and Information Science
This project investigates the information needs, practices, and experiences of people who have long COVID ("COVID long-haulers") in order to learn more about their COVID-related information needs, the ways in which they have gone about fulfilling these needs, and their information-related experiences. W
Environmental Injustice and Deaths of Despair: Lessons from Montana’s Tribal Lands
Principal Investigator(s):
Research Areas: Health Informatics > Information Justice, Human Rights, and Technology Ethics
The proposed project uses the case of Native American Lands in Montana to investigate the dynamic interactions between environmental change and socio-economic conditions, in order to identify potential pathways whereby environmental hardship may contribute to (and result from) forms of socio-economic distress linked to deaths of despair.
Principal Investigator(s):
Research Areas: Health Informatics > Information Justice, Human Rights, and Technology Ethics
The proposed project uses the case of Native American Lands in Montana to investigate the dynamic interactions between environmental change and socio-economic conditions, in order to identify potential pathways whereby environmental hardship may contribute to (and result from) forms of socio-economic distress linked to deaths of despair.
III: Small: Bringing Transparency and Interpretability to Bias Mitigation Approaches in Place-based Mobility-centric Prediction Models for Decision
Principal Investigator(s): Vanessa Frias-Martinez
Funder: National Science Foundation
Research Areas: Data Science, Analytics, and Visualization > Health Informatics > Information Justice, Human Rights, and Technology Ethics > Machine Learning, AI, Computational Linguistics, and Information Retrieval
The project focuses on improving the fairness of place-based mobility-centric (PBMC) prediction models, particularly in high-stakes scenarios like public health and safety. By addressing biases in COVID-19 mobility and case data, it aims to make predictions more accurate and equitable. The research introduces novel bias-mitigation and interpretability methods across three technical thrusts, promoting transparency in PBMC models.
Principal Investigator(s): Vanessa Frias-Martinez
Funder: National Science Foundation
Research Areas: Data Science, Analytics, and Visualization > Health Informatics > Information Justice, Human Rights, and Technology Ethics > Machine Learning, AI, Computational Linguistics, and Information Retrieval
The project focuses on improving the fairness of place-based mobility-centric (PBMC) prediction models, particularly in high-stakes scenarios like public health and safety. By addressing biases in COVID-19 mobility and case data, it aims to make predictions more accurate and equitable. The research introduces novel bias-mitigation and interpretability methods across three technical thrusts, promoting transparency in PBMC models.
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Recent News
(Video) OTTRS Speaker Series: “Interactive Team Cognition for Humans and Machines”
Featuring Human Systems Engineer Dr. Nancy J. Cooke of Arizona State University
(Video) Dean’s Lecture Series: Game-Changers: Unleashing the Power of Sports Informatics in Athletics
Panelists discuss the game changing unification of sports and data
Kevin Beverly