Welcome to our website. 

We are a group of people who are interested in computational methods for learning from big multimedia data and for high performance retrieval of big multimedia data. Our current data sources are medical video, social network data, and government data.

Want to know more? See our project pages or contact us. Read more about


Began in 2003, the project has resulted in advances in automated analysis methods for video from endoscopy, especially colonoscopy.

Colonoscopy has contributed to a marked decline in the number of colorectal cancer related deaths. Colorectal cancer is the second leading cause of cancer-related deaths in the U.S. Colonoscopy enables the endoscopist to perform a thorough examination of the colon areas that may be difficult to see using other less invasive technologies. More importantly, treatment such as polypectomy can be performed within the same procedure. Quality of...

This seed grant is instrumental in establishing interdisciplinary research and education activities among computer science, political science, and mass communication researchers in mining big heterogeneous data generated at a rapid rate from social media, state news sources, and web sites to answer many unanswered political science and mass communication questions. To date, we have been focusing on understanding policy diffusion, social network models of policy connectedness across state lines, the role of social media in influencing state politics and policy, and micro-targeting ...

This project aims to develop a novel software data collection and analysis platform that enables studies of microtargetting in online election campaigns for the first time. This microtargeting has serious implications for how our elections and our democracy function. We will configure various profiles of our web bots to test how the messaging of campaigns differs based on the perception of the voter receiving the ad. In particular, we manipulate the age, gender, language, partisanship, and geography of the perceived voters to test the campaigns abilities to microtarget. The...

Recent News

March 10, 2016

Alexander Maxwell, Austin Evans and Melissa Garrett won a Gold prize for their “Near Field” interactive poster for the College of Liberal Arts and Sciences from the American Advertising Award student competition in Des Moines. The poster was a project in the Computational Communication: Creative Advertising course offered in Spring 2015.

March 10, 2016

The SRI Social Informatics team hosted Dr. Roberts on March 4, 2016 at Iowa State University. She discussed her research interests in political informatics with a specific focus on methods of automated content analysis and the politics of censorship in China using the Structural Topic Model.

January 23, 2016

Tavanapong was invited to attend the DigSys workshop at Simula Research Laboratory, Oslo, Norway, to be held on January 21, 2016.  

December 10, 2015

In Spring 2015, Prof. Robert Mason and Prof. Brant Houston, gave invited distinguished lectures at Iowa State University on "Social Media Research:Approaches, Findings, Challenges," and "Intersections of Journalism with Computer Science and Data", respectively.

August 20, 2015

On August 18, 2015, Sheetal presented her paper titled "Agenda Detector: Labeling Tweets with Political Policy Agenda" at the ASE Int. Conf. on Social Computing 2015 at Stanford University.