Innovation Information Initiative Technical Working Group Meeting

Matt Marx, Organizer

December 6-7, 2024

Royal Sonesta Hotel
Longfellow Room, 40 Edwin H. Land Blvd.
Cambridge, MA, Zoom

Friday, December 6
4:00 pm	Welcome and introductions, Matt Marx
4:15 pm	New Ventures, Products, and Tools
	Amir Sariri, Purdue University Avi Goldfarb, University of Toronto and NBER Database, Methodological Tools, and Research Opportunities: Creative Destruction Lab and Early-Stage Technology Ventures
	Abhiroop Mukherjee, Hong Kong University of Science and Technology Bruno Pellegrino, Columbia University Alminas Zaldokas, National University of Singapore Yiman Ren, University of Michigan Tomas Thornquist, Shell Street Labs New Products
	Pierre Pelletier, University of Strasbourg Kevin Wirtz, University of Strasbourg Novelpy: A Python Package to Measure Novelty and Disruptiveness of Bibliometric and Patent Data
5:45 pm	Introducing the I3 BigQuery Data Repository Dror Shvadron, University of Toronto
6:00 pm	Adjourn
6:15 pm	Reception and Group Dinner - Somerset Room
Saturday, December 7
8:30 am	Continental Breakfast
9:00 am	Building Datasets with LLMs
	Victor Lyonnet, University of Michigan Amin Shams, The Ohio State University Shaojun Zhang, The Ohio State University LLM-based Topic Modeling
	Yuan Sun, Shanghai University of Finance and Economics Xuan Tian, Tsinghua University Yuanchen Yang, Tsinghua University A Robust Green Patent Database: A New Dataset of Green Patents Through Large Language Models
	Maya Durvasula, Stanford University Sabri Eyuboglu, Stanford University David Micha. Ritzwoller, Stanford University Distilling Data from Large Language Models: An Application to Research Productivity Measurement
10:30 am	Break
10:45 am	Comparative NLP Methods
	Michael E. Rose, Max Planck Institute for Innovation and Competition Erik Buunk, Max Planck Institute for Innovation and Competition Sebastian Erhardt, Max Planck Institute for Innovation and Competition Cheng Li, Max Planck Institute for Innovation and Competition Mainak Ghosh, Max Planck Institute for Innovation and Competition Dietmar Harhoff, Max Planck Institute for Innovation and Competition Tracing the Flow of Knowledge From Science to Technology Using Deep Learning (slides)
	Ina Ganguli, University of Massachusetts Amherst and NBER Jeffrey Lin, Federal Reserve Bank of Philadelphia Vitaly Meursault, Federal Reserve Bank of Philadelphia Nicholas F. Reynolds, University of Essex Patent Text and Long-Run Innovation Dynamics: The Critical Role of Model Selection
11:45 am	Global Patent Data
	Nishant Chadha, Indian School of Business Satyaki Chakravarty, Universita Cattolica del Sacro Cuore Piyasha Majumdar, India Development Foundation A New Database of Indian Patents (slides)
	Josh Lerner, Harvard University and NBER Namrata Narain, Harvard University Dimitris Papanikolaou, Northwestern University and NBER Amit Seru, Stanford University and NBER Creating the China Patent Dataset
	Zenne Hellinga, Utrecht University Jay Praka. Nagar, Duke University Stefano Breschi, Bocconi University Andrea Morrison, University of Pavia Gianluca Tarasconi, IPQuants A Novel Dataset for Historical Innovation Studies: Linking USPTO Patents and US Census Data from 1850 to 1940
1:15 pm	Lunch - Room Skyline ABC
2:00 pm	Adjourn