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NSF grant for ISP Facutly

Dr. Yu-Ru Lin, assistant professor in the School of Information Sciences and Intelligent Systems Program (ISP), has recently awarded two research grants from the National Science Foundation (NSF).

Dr. Lin's project "DAPPR: Diffusion Analytics for Public Policy Research" was awarded by NSF's Data Infrastructure Program. This grant will support Dr. Lin's research for understanding the iterative processes of policy-making. Particularly, the project will investigate cutting-edge methods of text and network analysis, as well as visual analytics, in order to track how the developments of public policies across the states in the U.S. have influence on one another. In collaboration with researchers from the Pennsylvania State University, University of Iowa, and several other research institutions across the country, the team will develop both data and computational methods that address the most pressing limitations to the study of policy diffusion networks.

The project "Collective Sense Making Following a Terrorist Attack: The Immediate and Long-Term Impact on Public Resilience" under the direction of Dr. Lin was awarded by NSF's Infrastructure Management & Extreme Events (IMEE) Program. Dr. Lin and her group will be using this award to investigate the impacts of the mass outpouring of reaction and information sharing on social media in response to terrorist events. Particularly, the project will analyze the public's immediate social and emotional reactions to the attacks as well as longer-term changes in their communication behavior. This research will contribute to both improving responses to specific terrorist attacks as well as enhancing public understanding of the specific means through which terrorism wields social influence.

More information about Dr. Lin's research can be found at: http://yurulin.com

Social Web for Disaster Management (SWDM'16)

The 4th International Workshop on Social Web for Disaster Management (SWDM'16) is co-organized by Yu-Ru Lin, Intelligent System Program faculty. 

Pitt to help lead million-person study

NIH will give $4.2 million to Pitt to build the foundational partnerships and infrastructure needed for PMI program that aims to engage more than 1 million U.S. participants to change how disease is prevented and treated based on individual differences in lifestyle, environment and genetics.

This project involves Shyam Visweswaran, Intelligent System Program (ISP) faculty along with Steven E. Reis and Oscar Marroquin.

Read more on University Times: http://www.utimes.pitt.edu/?p=39908

Six biomedical devices gain pilot funding

The Center for Medical Innovation (CMI) awarded grants to six biomedical devices including I-HITS that involves Ervin Sejdic, Intelligent System Programm (ISP) facutly.

Read more on University Times: http://www.utimes.pitt.edu/?p=39908

New findings on schizophrenia’s biological processes by ISP faculty

Using a computational model they developed, researchers at the School of Medicine have discovered more than 500 new protein-protein interactions (PPIs) associated with genes linked to schizophrenia. The findings, published in npj Schizophrenia, could lead to greater understanding of the biological underpinnings of this mental illness, as well as point the way to treatments.

Senior investigator Madhavi Ganapathiraju, ISP and biomedical informatics faculty member in the School of Medicine, noted that there have been many genome-wide association studies (GWAS) that have identified gene variants associated with an increased risk for schizophrenia, but in most cases there is little known about the proteins that these genes make, what they do and how they interact.

Please visit University Times for complete article: http://www.utimes.pitt.edu/?p=39314

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