Mike Teodorescu

University of Washington, Information School

Box 353350

Seattle, WA 98195

United States

http://ischool.uw.edu

Massachusetts Institute of Technology (MIT) - D-Lab

265 Massachusetts Ave

N51, 3rd Floor

Cambridge, MA 02139

United States

  • University of Washington, Information School

SCHOLARLY PAPERS

4

DOWNLOADS

1,505

TOTAL CITATIONS

17

Scholarly Papers (4)

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1.

Machine Learning Methods for Strategy Research

Harvard Business School Research Paper Series No. 18-011
Number of pages: 61 Posted: 03 Aug 2017 Last Revised: 18 Oct 2017
Mike Teodorescu
University of Washington, Information School
Downloads 676 (81,626)
Citation 13

Abstract:

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strategic decisions, machine learning, natural language processing, classification, decision trees

2.

Closing the Gender Gap in Patenting: Evidence from a Randomized Control Trial at the USPTO

USPTO Economic Working Paper No. 1, 2022
Number of pages: 42 Posted: 14 Nov 2022 Last Revised: 03 Jan 2023
Nicholas A. Pairolero, Andrew Toole, Peter-Anthony Pappas, Charles deGrazia and Mike Teodorescu
United States Patent and Trademark Office, United States Patent and Trademark Office (USPTO), United States Patent and Trademark Office (USPTO), EMLV and University of Washington, Information School
Downloads 430 (142,878)

Abstract:

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RCT, patent, gender gap, invention, innovation

3.

Shorter Patent Pendency Without Sacrificing Quality: The Use of Examiner's Amendments at the USPTO

Research Policy, Vol. 50, No. 10, 2021, USPTO Economic Working Paper No. 2019-03
Number of pages: 84 Posted: 09 Jul 2019 Last Revised: 08 Nov 2021
Charles deGrazia, Nicholas A. Pairolero and Mike Teodorescu
EMLV, United States Patent and Trademark Office and University of Washington, Information School
Downloads 283 (225,692)
Citation 2

Abstract:

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patent pendency, examiner incentives, productivity, cosine similarity, patent examiner

4.

A Framework for Fairer Machine Learning in Organizations

Number of pages: 35 Posted: 25 Sep 2020
Lily Morse, Mike Teodorescu, Yazeed Awwad and Gerald C. Kane
Carnegie Mellon University - David A. Tepper School of Business, University of Washington, Information School, D-Lab, Massachusetts Institute of Technology and University of Georgia - C. Herman and Mary Virginia Terry College of Business
Downloads 116 (499,609)
Citation 2

Abstract:

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fairness, ethics, machine learning, bias, equality of opportunity, decision tree