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InfoSeeking Lab is situated in Information School at University of Washington. The lab is directed by Dr. Chirag Shah, and includes 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.
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.
An system to automatically collect data and metadata from blogs, YouTube, Twitter, Flickr, and more.