NCSA Faculty Fellowship: Predictive Modeling for Impact Assessment

TIME FRAME
2015 – present
TOTAL FUNDING TO DATE
$24,323

Assistant Professor Jana Diesner a received an Faculty Fellowship and seed funding for her project, “Predictive Modeling for Impact Assessment,” from the National Center for Supercomputing Applications (NCSA). Diesner collaborates closely with NCSA scientists on the project, which builds on her work developing computational solutions to assess the impact of issue-focused information projects such as social justice documentaries and books. Her research team leverages big social data for this purpose and combines techniques from machine learning and natural language processing to identify a fine-grained set of impact factors from textual data sources such as news articles, reviews, and social media. This project aims to locate and categorize evidence for behavioral, cognitive, attitudinal, and emotional change from a variety of data sources.

NCSA Faculty Fellowship: Predictive Modeling for Impact Assessment

Personnel

NCSA Faculty Fellowship: Predictive Modeling for Impact Assessment
Jana Diesner
Principal Investigator (PI)

Funding Agencies

National Center for Supercomputing Applications — 2015 — $24,323

Research Areas

Data Analytics, Social and Information Networks, Social Media