Innovation Information Initiative Technical Working Group Meeting
Adam B. Jaffe, Organizer
December 2-3, 2022
Supported by the Alfred P. Sloan Foundation
Le Meridien, Cambridge, MA and on Zoom
Friday, December 2 | ||
4:30 pm | Welcome and Introductions | |
4:40 pm |
Jean-Marc Deltorn, University of Strasbourg Dominique Guellec, Observatoire des Sciences et Techniques Jiangyin Liu, Observatoire des Sciences et Techniques Chenyin Wu, University of Strasbourg Building a Corpus of “Patent-Article Siblings” |
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5:20 pm |
Grigor Aslanyan, Google Ian Wetherbee, Google Patents Phrase to Phrase Semantic Matching Dataset |
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6:00 pm | Adjourn | |
6:30 pm | Dinner, Taylor Ballroom | |
Saturday, December 3 | ||
8:30 am | Continental Breakfast | |
9:00 am |
Fabian Gaessler, Pompeu Fabra University Dietmar Harhoff, Max Planck Institute for Innovation and Competition Lorenz Brachtendorf, Max Planck Institute for Innovation and Competition Mapping Patents to Technology Standards |
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9:40 am |
Maya Durvasula, Stanford University Scott Hemphill, NYU Law School Lisa Larrimore Ouellete, Stanford University Bhaven Sampat, Arizona State University and NBER Heidi Williams, Dartmouth College and NBER The NBER Orange Book Dataset: A User’s Guide |
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10:20 am | Break | |
10:35 am |
Lee Fleming, University of California, Berkeley Progress Report on an Inventor-author Crosswalk |
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11:15 am | Break | |
11:30 am |
Panel Discussion: How do we validate patent metrics derived from semantic analysis? There has been an explosion of development of semantic-based measures seeking to capture similarity across patents; novelty; disruptiveness, value or impact, etc. The panel will bring together researchers who’ve been working on these metrics to discuss questions such as: what is the relationship of these metrics to older ones based on, e.g., patent classification or citations; how should validation be structured (should people validate their own measures or should we try to create some kind of shared or over-arching validation process); what is the relationship between different modes of validation (e.g. correlation with exiting metrics, testing against subjective expert judgements, correlation with outcome indicators such as productivity or prizes) Moderator: Bronwyn Hall, Stanford University and NBER (TBC) Sam Arts, KU Leuven (slides) Dokyun Lee, Boston University (slides) Ina Ganguli, University of Massachusetts Amherst (slides) Josh Lerner, Harvard University and NBER (slides) |
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1:00 pm | Lunch, Taylor Ballroom | |
2:00 pm | Adjourn |