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Funded Research Projects

Prototyping and Evaluating a Living Research Synthesis Infrastructure

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Associate Professor of Information Carl Lagoze and School of Education Professor Pamela Moss are prototyping an infrastructure for using existing research to develop actionable knowledge in complex educational systems.

 

 

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Assessing the Impact of Exogenous Shocks on User Behavior and Information Diffusion in Social Media

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Daniel Romero is studying how people on social media react during fast-changing situations such as natural disasters and political unrest, and how it affects information diffusion dynamics. 

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LGBTQ people's disclosure and support seeking on social media when experiencing pregnancy loss

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Nazanin Andalibi and colleagues will work with LGBTQ individuals who have experienced pregnancy loss with the ultimate goal of including marginalized individuals in technology design.

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Crowdsourcing Metadata Enhancements to Improve the Discoverability and Reusability of Scientific Data

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Thanks to a grant from the National Science Foundation, this project will conduct experiments with user communities to determine what motivates them to contribute metadata enhancements to archived data.

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Prediction Analytics to Guide Prevention of Kidney Disease Among U.S. Veterans

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The study will carry out predictive analytics (using traditional statistical and machine learning tools) and geospatial analyses, to identify high risk individuals as well as those with identifiable kidney disease, and the geographic areas they live in, to better understand risk and progression factors for kidney disease.

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Digitization for Everybody

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With a grant from the Andrew W. Mellon Foundation, Paul Conway aims to create modularlized learning resources that support standards-based digitization of cultural heritage resources (still image, audio, video). 

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Impacts of Heterogeneous Organizational Backgrounds and Social Norms on Employees' Behaviors in Temporary Organizations

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UMSI's Erin Krupka is exploring how social norms and organizational identification affect employees, and developing interventions that can improve their behavior.

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Collaborative Research: Validating and Communicating Model-based Approaches for Data Visualization Ability Assessment

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A grant from National Science Foundation funds research on how, and to what extent, people are able to interpret data visualizations. 

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Reducing Kidney Disease Through Acute Kidney Injury Risk Prediction and Prevention

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The study aims to a) develop a high fidelity acute kidney injury (AKI) risk prediction model for hospitalized Veterans; and b) develop an accompanying clinical decision support system (CDSS) to provide management recommendations for patients identified as being at higher risk for AKI.

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

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A grant from the National Science Foundation will produce scalable instructional materials – including massive open online courses – to increase data science literacy among postsecondary students and researchers.

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