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Funded Research Projects

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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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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Digital Street Theater for Global Maternal and Child Health Education

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With a grant from the National Academy Keck Futures Initiative, UMSI's Kentaro Toyama is combining community-based content development with participatory technology design and deployment for maternal and child health education in low-literacy communities. 

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Using Learning Objectives for Visualization Design

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A grant from the National Science Foundation will help communicative visualization designers express how viewers should learn something with, or about, the data represented in their visualizations. 

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Learning and Automating De-escalation Strategies in Online Discussions

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With a grant from Mozilla, UMSI's Libby Hemphill will use machine learning to teach bots how to de-escalate hostile social-media threads.

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Drawing from Theories of Justice to Respond to Online Harassment

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Funded by a grant from the National Science Foundation, this project investigates the role that justice can play in responding to online harassment in order to promote perceptions of fairness and reduce likelihood of future harassment.

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Improving Diagnosis in Emergency and Acute Care: A Learning Laboratory

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To improve the complex diagnostic decision-making process and reduce diagnostic errors in an emergency care, this research aims to collect and analyze data on diagnostic errors from both frontlines of care and EHRs, design, implement and evaluate interventions to improve diagnostic quality and safety.

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Navigating Scientific and Statistical Reasoning in Adolescence

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Priti Shah aims to identify effective strategies for teaching middle and high school students to critically evaluate scientific evidence in the context of health and behavioral findings in the media.

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Enhancing the Cardiovascular Safety of Hemodialysis Care: a Cluster-Randomized, Comparative Effectiveness Trial of Multimodal Provider Education and Patient Activation Interventions ("Dialysafe")

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In partnership with the National Kidney Foundation and Fresenius Medical Care North America, Tiffany Veinot and colleagues will test two interventions designed to increase the stability of patient dialysis. To test the interventions, the team will conduct a pragmatic, cluster-randomized controlled trial in 28 dialysis facilities in different parts of the United States.

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