Innovation Information Initiative Technical Working Group Meeting

Adam B. Jaffe, Organizer

December 2-3, 2022

Le Meridien, Cambridge, MA and on Zoom

Conference Code of Conduct

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” (slides)
5:20 pm
Grigor Aslanyan, Google
Ian Wetherbee, Google

Patents Phrase to Phrase Semantic Matching Dataset
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 (slides)
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 (slides)
10:20 am
Break
10:35 am
Lee Fleming, University of California, Berkeley

Progress Report on an Inventor-author Crosswalk
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)
1:00 pm
Lunch, Taylor Ballroom
2:00 pm
Adjourn