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Wednesday - May 22, 2013 |
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Using Tesserac, we are developing parsing algorithms to OCR and harvest key variables useful for academic studies of innovation and entrepreneurship. Real students with innovative ideas for real change -- and the talent to make it happen -- pitching concepts, research, and strategies to real investors and business leaders in one of the world’s most rigorous entrepreneurship programs. Thousands of articles utilizing patent data have been written in economics, marketing, strategy, entrepreneurship, and law. The limitations of the use of patent data has been its accessibility. We propose an "open-science" paradigm where the data is cleansed, normalized, and prepared for academic consumption. |