Title: Advances in Patent Research: New Data, Measures, and Methods
Location: Both in-person and online. Hybrid interactive session.
Date & Time: 9:00 - 11:30 am (Seattle time UTC-7) on Sunday, 7 August
Description:
This workshop focuses on the empirical analysis of patent data, emphasizing the use of patents both as a measure of knowledge and innovation, and as an institutional phenomenon worthy of research in its own right. The goals of the PDW are twofold. First, it will provide an introduction to patent data for management scholars new to the field, including a discussion of data sources, data limitations, and methods for effectively analyzing patent data. Second, it will provide examples of in-depth analyses using patent research. The panelists will engage in discussions with the audience to address the current state of patent research and future directions for research.
With the following speakers:
Ashish Arora (Duke University)
Deepak Hegde (New York University)
Karin Hoisl (University of Mannheim)
Maxim Sytch (University of Michigan)
and Stuart Graham (Georgia Tech) as our discussant.
This year's focus:
- Biases in the patent system
- New advances in matching patent data with other data sources
The PDW will be highly interactive with plenty of room for Q&A.
If there is something you always wanted to know about patents (but are afraid to ask publicly): send us your questions using this link.
Organizers: Sina Khoshsokhan (sina@colorado.edu) and Elie Sung (sung@hec.fr)
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Elie Sung
HEC Paris
Jouy-en-Josas
+33 (0) 1 39 67 9813
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