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USPTO Symposium: Advancing research on inventor demographics



Understanding the demographic makeup of inventors who apply for patents is a critical first step for characterizing who participates in the intellectual property ecosystem and for identifying policies that will expand participation. The USPTO organized a one-day symposium that brought together economists, computer scientists, and others to discuss research methods, applied examples, and new ideas.

The symposium endeavored to:

  • Provide an overview of current approaches from leading scholars in the field,
  • Build knowledge,
  • Identify a community of practitioners, and
  • Facilitate the application of common approaches.

This symposium discussions will be of interest to researchers engaged in inventor demographics based on administrative and other records. There was no charge to attend, but registration in advance was required,


The symposium was structured as one full-day session on August 26, 2022. Each session speaker is identified below, including a biography and relevant articles, sites, or publications from the speaker.

The symposium agenda is linked here for a layout of the event. Session recordings and presentation slides are linked below.

Friday, August 26 | 9:00 am to 4:00 pm EST
Speaker Organization Relevant Links Presentation Materials
Julio Raffo WIPO

Economic Research Working Paper No. 64

Slides (link to download)

Ernest Miguelez University of Bordeaux  

Slides (browser link)

Michelle Saksena



Slides (link to download)

Fangzhou Xie Rutgers University

Predicting Ethnicity from Names with rethnicity: Methodology and Application

Slides (browser link)

Francesco Lissoni Bordeaux University, Bocconi University

Foreign Managers and the Direction of FDIs: Firm-Based Evidence

The missing link: international migration in global clusters of innovation

Slides (browser link)
Jay Budzick ZestAI   Slides (browser link)
Marc Elliot RAND

Overview of Modified Bayesian Improved First Name, Surname, and Geocoding Methodology

User Manual for SAS programs, macros, and supporting datasets for the public use BISG/mBIFSG imputation

Haas A, Elliott MN, Dembosky JW, Adams JL, Wilson-Frederick S, Mallett JS, Gaillot S, Haffer SC, Haviland AM. (2018) “Imputation of Race/Ethnicity to Enable Measurement of HEDIS Performance by Race/Ethnicity” Health Services Research 54(1): 13-23. DOI:

Martino SC, Elliott MN, Hambarsoomian K, Garcia AN, Wilson-Frederick S, Gaillot S, Weech-Maldonado R, Haviland AM. (2020) “Disparities in Care Experienced by American Indian and Alaska Native Medicare Beneficiaries” Medical Care 58(11):981-987. DOI:

Branham DK, Finegold K, Chen L, Sorbero M, Euller R, Elliott MN, Sommers BD. (2022) “Trends in Missing Race-and-Ethnicity Information Following Imputation in Marketplace Enrollment Data, 2015-2021” JAMA Network Open 2022;5(6):e2216715. DOI:

Martino SC, Elliott MN, Dembosky JW, Hambarsoomian K, Klein DJ, Gildner J, Haviland AM (2022) Disparities in health care in Medicare Advantage by race, ethnicity, and sex. Baltimore, MD: CMS Office of Minority Health.

Slides (link to download)

Trevon Logan

Adam Gailey

Jason Dietrich

Ohio State University



  Panel Recording