By Dafna Shahaf, Hebrew University of Jerusalem
Dafna Shahaf is an Associate Professor in computer science at the Hebrew University of Jerusalem. Dafna’s research focuses on helping people make sense of massive amounts of data, with a special emphasis on unlocking the potential of the many digital traces left by human activity to contribute to our understanding (and the computers emulation) of human capacities such as humor and creativity. She received her PhD in Computer Science from Carnegie Mellon University, and was a postdoctoral fellow at Stanford University and at Microsoft Research.
She has won a best research paper award at KDD 2010 and KDD 2017, an ERC starting grant, a Microsoft Research Fellowship, a Siebel Scholarship, a Magic Grant for innovative ideas, and Wolf’s Foundation Krill Award, as well as MIT Tech Review’s “Most thought-provoking paper of the week”.
Abstract of the talk:
The availability of large idea repositories (e.g., the U.S. patent database) could significantly accelerate innovation and discovery by providing people with inspiration from solutions to analogous problems. However, finding useful analogies in these large, messy, real-world repositories remains a persistent challenge for either human or automated methods.
- Time and place: from 4.15 to 5.30 pm at BC420, EPFL
- Free entrance