The program promotes the development of open source software, related industry standards and greater interoperability. The OCR awards program enables multi year deep collaboration between IBM and university participants and allows faculty to take on new students and obligations. Outcomes of collaborations are open — meaning that results are freely available, and publicly shared — which provides maximum opportunity for others to build on the results.

Congratulations to the awardees!


2017 Awards


University Project title Faculty
Bar-Ilan University Natural Language Generation Yoav Goldberg
Boston University Scalable System/Software Discovery & Configuration Analytics for a Secure & Resilient Cloud Ayse Coskun
Carnegie Mellon University City Modeling from Crowd-sourced First Person Videos Kris Kitani
Columbia University New methods in modern Artificial Intelligence David Blei
Massachusetts Institute of Technology Dynamically Changing Occupations David Autor
Purdue University Causal Inference in Machine Learning Elias Bareinboim
University at Buffalo, State University of New York High Performance, Low Energy End-to-End Big Data Transfer Tevfik Kosar, Murat Demirbas
University of California -Los Angeles Causal Inference in Machine Learning Judea Pearl
University of Texas at Austin Active Visual Perception: Learning How to Move and Where to Look Kristen Grauman


2016 Awards


University Project title Faculty
Boston University Scalable System/Software Discovery & Configuration Analytics for a Secure & Resilient Cloud Ayse Coskun
Carnegie Mellon University City Modeling from Crowd-sourced First Person Videos Kris Kitani
Rice University Sensor-driven Quality of Life for Elders Ashutosh Sabharwal
Rice University Question Generation & Assessment Richard Baraniuk
Stanford University Protégé for Automated Knowledge Base Construction Mark Musen
University of Maryland at College Park DynInst and DCS platform Jeffrey Hollingsworth


2015 Awards


University Project title Faculty
Bar-Ilan University Natural Language Generation Yoav Goldberg
Boston University Scalable System/Software Discovery & Configuration Analytics for a Secure & Resilient Cloud Ayse Coskun
Carnegie Mellon University City Modeling from Crowd-sourced First Person Videos Kris Kitani
Columbia University New methods in modern Artificial Intelligence David Blei
Massachusetts Institute of Technology Dynamically Changing Occupations David Autor
Purdue University Causal Inference in Machine Learning Elias Bareinboim
University at Buffalo, State University of New York High Performance, Low Energy End-to-End Big Data Transfer Tevfik Kosar, Murat Demirbas
University of California -Los Angeles Causal Inference in Machine Learning Judea Pearl
University of Texas at Austin Active Visual Perception: Learning How to Move and Where to Look Kristen Grauman