InfoSeeking Lab is situated in School of Communication & Information at Rutgers University. The lab is directed by Dr. Chirag Shah, and includes iSchool and Computer Science faculty, as well as several PhD, Masters, and undergraduate students. The funding for the lab, more than 3 million dollars so far, has come from federal agencies such as NSF, IMLS, NIH, and Smithsonian Institution, as well as private organizations such as OCLC, Amazon, Google, and Yahoo.
The lab engages in research and education activities in the larger fields of Information and Data Sciences, with a focus on information seeking/retrieval/behavior and social media. Current topics of interest include extracting search intentions, prediction and recommendations in exploratory search processes, big data analytics with social media, behavioral analytics with mobile and wearable tech, collaborative information seeking, and social/community-based Q&A. Interested in joining the lab as a funded student or a volunteer? Contact Us.
A developer-friendly framework for investigating information retrieval and interaction activities.
A unique system that lets you work on multi-session or multi-user projects without leaving your browser.
Highly usable social-computational platform that collect, analyze, and explore social media data.