Projects by Area Areas: Forecasting Network Science Visual Analytics Computer Vision Health Informatics Neuroscience Natural Language Processing Intelligence Analysis Sustainability Probabilistic Graphical Models Urban Computing Social Media Analytics Forecasting Back to top Data-driven Stratification and Prognosis for Traumatic Brain Injury Research Areas: Forecasting Health Informatics Dates: September 15, 2018 – August 31, 2022 Sponsors: National Science Foundation Computational Methods for Promoting and Predicting Project Campaigns in Crowdfunding Environments EAGER: An Integrated Predictive Modeling Framework for Crowdfunding Environments Research Areas: Forecasting Dates: August 15, 2016 – July 31, 2018 Sponsors: National Science Foundation Rehospitalization Analytics: Modeling and Reducing the Risks of Rehospitalization This project provides a comprehensive and accurate assessment of risk of rehospitalization and has the potential to direct more aggressive treatments towards specific high-risk patients. Research Areas: Forecasting Health Informatics Dates: August 15, 2016 – July 31, 2018 Sponsors: National Science Foundation Event Detection and Analysis in Longitudinal Data New Machine Learning Approaches for Modeling Time-to-Event Data Research Areas: Forecasting Dates: September 1, 2015 – August 31, 2018 Sponsors: National Science Foundation Summarizing Beliefs of Intelligent Systems via Diverse Predictions Summarizing Beliefs of Intelligent Systems via Diverse Predictions proposes theories and algorithms that convey the beliefs of intelligent systems. Research Areas: Forecasting Dates: January 2, 2012 – Present EMBERS EMBERS is a system for forecasting societal significant societal events from open source surrogates. Research Areas: Forecasting Network Science Dates: August 1, 2012 – July 4, 2016 Health Informatics Back to top Data-driven Stratification and Prognosis for Traumatic Brain Injury Research Areas: Forecasting Health Informatics Dates: September 15, 2018 – August 31, 2022 Sponsors: National Science Foundation Rehospitalization Analytics: Modeling and Reducing the Risks of Rehospitalization This project provides a comprehensive and accurate assessment of risk of rehospitalization and has the potential to direct more aggressive treatments towards specific high-risk patients. Research Areas: Forecasting Health Informatics Dates: August 15, 2016 – July 31, 2018 Sponsors: National Science Foundation Natural Language Processing Back to top Robust Intelligence Representation Learning and Adaptation using Unlabeled Videos Research Areas: Natural Language Processing Dates: June 1, 2018 – May 31, 2020 Sponsors: National Science Foundation Network Science Back to top Info Integration & Informatics Bridging the Data-Model Gap -- Leveraging Surveillance for Propagation Mining over Networks Research Areas: Network Science Dates: July 1, 2018 – June 30, 2023 Sponsors: National Science Foundation Scalable Learning of Complex Structured Models Scalable Learning of Complex Structured Models develops new algorithms and theoretical analysis on different domains. Research Areas: Network Science Dates: December 1, 2014 – Present Semi-Supervised Learning of Cyberbullying and Harassment Patterns in Social Media Semi-Supervised Learning of Cyberbullying and Harassment Patterns in Social Media develops algorithms that identify detrimental online social behaviors. Research Areas: Network Science Social Media Analytics Dates: June 1, 2015 – Present EMBERS EMBERS is a system for forecasting societal significant societal events from open source surrogates. Research Areas: Forecasting Network Science Dates: August 1, 2012 – July 4, 2016 Social Media Analytics Back to top Cyber-Human Systems Empirical and Design Investigations to Address Misleading Online News in Social Media Research Areas: Social Media Analytics Dates: March 15, 2018 – February 29, 2020 Sponsors: National Science Foundation Semi-Supervised Learning of Cyberbullying and Harassment Patterns in Social Media Semi-Supervised Learning of Cyberbullying and Harassment Patterns in Social Media develops algorithms that identify detrimental online social behaviors. Research Areas: Network Science Social Media Analytics Dates: June 1, 2015 – Present Visual Analytics Back to top Be the Data Research Areas: Visual Analytics Dates: August 4, 2014 – Present Sponsors: State Council of Higher Education for Virginia Visual Question Answering (VQA) Visual Question Answering is a new dataset containing open-ended questions about images. Research Areas: Visual Analytics Dates: January 5, 2015 – Present Sponsors: National Science Foundation Office of Naval Research Army Research Laboratory Army Research Office Google Amazon Web Services Visual to Parametric Interaction (V2PI) Visual to Parametric Interaction (V2PI) is a non-probabilistic version of BaVA. Research Areas: Visual Analytics Dates: September 15, 2009 – April 3, 2017