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8-9 Oct 2018: Training
9-11 Oct 2018: Tutorials & Conference
London, UK
Dafna Shahaf

Dafna Shahaf
Assistant Professor, The Hebrew University of Jerusalem

Website

Dafna Shahaf is an assistant professor in the School of Computer Science and Engineering at the Hebrew University of Jerusalem. Dafna’s research deals with making sense of massive amounts of data. She designs algorithms that help people understand the underlying structure of complex topics, connect the dots between pieces of information, and turn data into insight. She is especially interested in unlocking the potential of the many digital traces left by human activity to understand and emulate human characteristics (e.g., creativity). Previously, she was a postdoctoral fellow at Microsoft Research and Stanford University. Dafna’s work has received multiple awards, including Best Research Paper at KDD’17 and KDD’10 and the IJCAI Early Career Award. She holds a PhD from Carnegie Mellon University.

Sessions

11:55–12:35 Thursday, 11 October 2018
Accelerating innovation through analogy mining
Models and Methods
 Location: King's Suite - Sandringham
Secondary topics:  Deep Learning models, Retail and e-commerce, Text, Language, and Speech
Dafna Shahaf (The Hebrew University of Jerusalem)
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The availability of large idea repositories (e.g., patents) could significantly accelerate innovation and discovery by providing people inspiration from solutions to analogous problems. Dafna Shahaf presents an algorithm that automatically discovers analogies in unstructured data and demonstrates how these analogies significantly increased people's likelihood of generating creative ideas. Read more.