Welcome to InfoSeeking Lab

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 4 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. Check out our jobs page for current hiring opportunities.

  • • Dr. Shah received Amazon Research Award for $100,000.
  • • Manasa Rath won a New Leader Award at ASIS&T 2018.
  • • Long Le and Chirag Shah published their paper Retrieving people: Identifying potential answerers in Community Question‐Answering in the latest issue of JASIST.
  • • Souvik Ghosh was accepted as a Summer LEADS-4-NDP fellow/OCLC Research team.
  • • Matt Mitsui successfully defended his dissertation on September 20, 2018.
  • • Zaid Matni successfully defended his dissertation on September 7, 2018.

Exploring Fairness in Information Retrieval Systems

IRIS

IRIS

A developer-friendly framework for investigating information retrieval and interaction activities.

COAGMENTO

Coagmento

A unique system that lets you work on multi-session or multi-user projects without leaving your browser.

SOCRATES

SOCRATES

Highly usable social-computational platform that collect, analyze, and explore social media data.

ContextMiner

ContextMiner

An system to automatically collect data and metadata from blogs, YouTube, Twitter, Flickr, and more.