The Information and Data Sciences group brings together expertise from information retrieval, human-computer interaction, artificial intelligence, and social science to work together on (1) how people and organizations interact with information and information systems; (2) how insights and knowledge mined from data can be used to characterize human behavior, improve current product offerings, and enable new product experiences. Our past work involves mining large-scale web search interaction logs, making social inferences from Twitter data, improving fundamental techniques for causal reasoning and large-scale text classification, modeling attention with gaze-tracking, and developing and deploying research-driven prototypes of virtual assistants and contextual Q&A support.
Together with our product partners, our team has developed technology that has improved product offerings in both Cortana and Bing, including the areas of web search relevance, personalized search, query understanding, web document understanding, email understanding, and suggested reminders.
We are always interested in working with like-minded individuals who are ready to think broadly, focus deeply, and work as a team to advance the state-of-the-art and impact the world. We invite you to learn more about us on our respective profile pages.