Michael Mattioli
Business, Management and Accounting · Indiana University
Publications
53
Citations
402
Est. group size
—
Recurring co-author estimate
Active years
34
Publishing since 1993
Michael Mattioli studies the law and policy surrounding intellectual property, with particular attention to patents, copyright, and how data is owned, shared, and governed. His work examines legal challenges raised by emerging technologies such as artificial intelligence, autonomous vehicles, and health data systems, including how organizations pool patents or data. Much of this research sits at the intersection of business, law, and technology.
Publication activity was steady in the late 2010s, dipped around 2020-2023, and shows a notable increase in the most recent years.
Generated by claude-opus-4-8 from public bibliographic data · Jul 11, 2026
- Complexity Creep
SSRN Electronic Journal · 2026
- Data and intellectual property law
Edward Elgar Publishing eBooks · 2024
- Facilitative fair use
Digital Commons - DU (University of Denver) · 2024
- Conjuring the Flag: The Problem of Implied Government Endorsements
SSRN Electronic Journal · 2023
- Pooling Mental Health Data with Chatbots
Cambridge University Press eBooks · 2021
- Balancing AI Bias
2020
- Empirical studies of patent pools
Edward Elgar Publishing eBooks · 2019
- Empirical Studies of Patent Pools
SSRN Electronic Journal · 2019
- The Data-Pooling Problem
Berkeley technology law journal · 2018
- Data and intellectual property law
Edward Elgar Publishing eBooks · 2018
- Autonomy in the Age of Autonomous Vehicles
SSRN Electronic Journal · 2018
- The Body Electric
2018
- Patent Pool Outsiders
IUScholarWorks Open (Indiana University) · 2018
- Cancer: From a Kingdom to a Commons
Cambridge University Press eBooks · 2017
- The Data-Pooling Problem
SSRN Electronic Journal · 2017
- Oxford University Press eBooks×9
- SSRN Electronic Journal×6
- Cambridge University Press eBooks×3
- Edward Elgar Publishing eBooks×3
- The Knowledge Bank (The Ohio State University)×1
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 11, 2026.
Claim or correct this profile