Research Projects
Filtered by: Other Non-Federal
Mitigating online COVID misinformation costs: From individual to field interventions
Principal Investigator(s): Giovanni Luca Ciampaglia
Funders: Social Science Research Council Other Non-Federal
Research Areas: Data Science, Analytics, and Visualization Social Networks, Online Communities, and Social Media
This project will conduct one of the most systematic tests to date of the welfare effects of altering information environments by decreasing exposure to untrustworthy sources. Researchers will encourage social media users to change the composition of the accounts they follow and measure the effect of this intervention on real-world behavior. This design will provide a building block for future research on the effects of online information exposure on offline behavior.
Principal Investigator(s): Giovanni Luca Ciampaglia
Funders: Social Science Research Council Other Non-Federal
Research Areas: Data Science, Analytics, and Visualization Social Networks, Online Communities, and Social Media
This project will conduct one of the most systematic tests to date of the welfare effects of altering information environments by decreasing exposure to untrustworthy sources. Researchers will encourage social media users to change the composition of the accounts they follow and measure the effect of this intervention on real-world behavior. This design will provide a building block for future research on the effects of online information exposure on offline behavior.
P3 (Pregnancy and Postpartum/Preconception) EQUATE (Enhancing Access and Quality to Achieve Equitable Maternal and Infant Health) Network
Principal Investigator(s): Jasmine Garland McKinney
Funders: American Heart Association Other Non-Federal
Research Areas: Accessibility and Inclusive Design Data Science, Analytics, and Visualization Health Informatics Information Justice, Human Rights, and Technology Ethics
This project validates the Prepartum Form for Evaluating Race-Related Psychological Stressors (PP-FERRPS)©, a screening tool designed to measure how race-related stressors affect Black perinatal women’s mental health. By refining this tool, the study aims to address gaps in traditional assessments and improve clinical support in maternal care.
Principal Investigator(s): Jasmine Garland McKinney
Funders: American Heart Association Other Non-Federal
Research Areas: Accessibility and Inclusive Design Data Science, Analytics, and Visualization Health Informatics Information Justice, Human Rights, and Technology Ethics
This project validates the Prepartum Form for Evaluating Race-Related Psychological Stressors (PP-FERRPS)©, a screening tool designed to measure how race-related stressors affect Black perinatal women’s mental health. By refining this tool, the study aims to address gaps in traditional assessments and improve clinical support in maternal care.
Piloting Lab Discourse Graphs for Sustainable Research Communication
Principal Investigator(s): Joel Chan
Funders: The Navigation Fund; Chan Zuckerberg Initiative (CZI) Other Non-Federal
Research Areas: Data Science, Analytics, and Visualization Human-Computer Interaction Machine Learning, AI, Computational Linguistics, and Information Retrieval
This project develops tooling for Discourse Graphs, a system enabling researchers to share and build on evidence-based research. Supported by $1.35M from the Chan-Zuckerberg Initiative and Navigation Fund, it collaborates with a PI at UW to enhance research workflows and open-science practices.
Principal Investigator(s): Joel Chan
Funders: The Navigation Fund; Chan Zuckerberg Initiative (CZI) Other Non-Federal
Research Areas: Data Science, Analytics, and Visualization Human-Computer Interaction Machine Learning, AI, Computational Linguistics, and Information Retrieval
This project develops tooling for Discourse Graphs, a system enabling researchers to share and build on evidence-based research. Supported by $1.35M from the Chan-Zuckerberg Initiative and Navigation Fund, it collaborates with a PI at UW to enhance research workflows and open-science practices.
Reducing the gender gap in AfD discussions: an evidence scoring approach
Principal Investigator(s): Giovanni Luca Ciampaglia
Funders: Wikimedia Foundation Other Non-Federal
Research Areas: Data Science, Analytics, and Visualization Social Networks, Online Communities, and Social Media
This project examines how Wikipedia’s Articles for Deletion (AfD) discussions influence the gender gap by analyzing biases in notability assessments and use of external evidence.
Principal Investigator(s): Giovanni Luca Ciampaglia
Funders: Wikimedia Foundation Other Non-Federal
Research Areas: Data Science, Analytics, and Visualization Social Networks, Online Communities, and Social Media
This project examines how Wikipedia’s Articles for Deletion (AfD) discussions influence the gender gap by analyzing biases in notability assessments and use of external evidence.
Revolutionizing Space-Based ISR through Decentralized Systems & In-Orbit ML Computing for Near-Real-Time Intelligence
Principal Investigator(s): Sergii Skakun
Funders: Little Place Labs Other Non-Federal
This project, funded through a U.S. Department of the Air Force research contract with Little Place Labs, develops edge-computing applications for satellites to analyze data in orbit. By enabling real-time detection of maritime activities, vessel classification, and other security-relevant events, the research aims to enhance intelligence, surveillance, and reconnaissance capabilities while reducing latency and security vulnerabilities in space-based systems.
Principal Investigator(s): Sergii Skakun
Funders: Little Place Labs Other Non-Federal
This project, funded through a U.S. Department of the Air Force research contract with Little Place Labs, develops edge-computing applications for satellites to analyze data in orbit. By enabling real-time detection of maritime activities, vessel classification, and other security-relevant events, the research aims to enhance intelligence, surveillance, and reconnaissance capabilities while reducing latency and security vulnerabilities in space-based systems.
Transforming Indigenous Archival Search: Evaluating Reparative Aggregation, Linked Data, and Cultural-Technical Infrastructures in the SNAC Platform
Principal Investigator(s): Diana E. Marsh
Funders: Andrew W. Mellon Foundation Other Non-Federal
Research Areas: Archival Science
Improving search and access of archival records for Indigenous communities through the web platform SNAC.
Principal Investigator(s): Diana E. Marsh
Funders: Andrew W. Mellon Foundation Other Non-Federal
Research Areas: Archival Science
Improving search and access of archival records for Indigenous communities through the web platform SNAC.