Events

Title and abstract will follow soon.

Contact person: Malte Toetzke

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The goal of the Conference on IP, Competition and Innovation is to stimulate an in-depth discussion of selected academic papers with particular emphasis on the policy impact of the research findings. 

Please find all detailed information and the registration on the conference webpage.

Title and abstract will follow soon.

Contact person: Dominik Asam

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Program as pdf

Registration

Title and abstract will follow soon.

Contact person: Michael Rose

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In this talk, I argue that Large Language Models (LLMs) offer social scientists a novel experimental tool: a digital “lab mouse.” Because LLMs encode human preferences, they make it possible to study aspects of human behavior computationally, at lower cost and greater scale than traditional human-subject experiments. LLMs also offer an unprecedented level of experimental control, which further enhances their appeal as a research tool. I will present results from several projects that: (a) establish this possibility for economic models, (b) develop applications across different social-scientific domains, and (c) highlight both the power and limitations of this approach.

Contact person: Marina Chugunova

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Digitization is reshaping social, political, and economic relations and systems. Data-driven services and solutions have become essential to production, consumption and infrastructures. Central to these changes are digitized and digital value chains built around digital products and the extraction of data from multiple sources, including individuals. They operate in a field characterized by multiple actors (states, organizations, companies, individuals) embedded in multiple areas of law (including, but not only, contract, property, company, competition, IP, data, trade, environmental, human rights and international law) at different levels (regional, national, supranational, international). Law brings about and shapes these value chains.

For its 2nd Transnational Junior Faculty Forum, the German Law Journal and Max Planck Law invite extended abstracts (ca. 500 words) by early-career scholars investigating the law of digital value chains from across different fields of law. We especially invite contributions from the perspective of critical approaches, as well as research that works with methods from other disciplines. The extended abstracts should contain the research problem, theoretical or conceptual framework, description of perspective, outline of methods, and a prospective bibliography.

Please submit your abstract by 15 April 2026. Successful applicants will be notified by 16 May 2026. Articles are due by 23 August 2026.

There is no registration fee. Limited funding will be available for participants based outside Europe.

To register, please email Irina Domurath: irina.domurath(at)unipd.it
If you would like to attend without presenting a paper please email petersson(at)law.mpg.de to register.

This workshop, a staple of AOM since 2003, 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 introduces participants to frontier developments in patent data and empirical approaches, including newly available data sources, advances in data linkage and AI-based methods, 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.

More information: Event entry at the Academy of Management Annual Meeting 2026

We investigate how negative product disclosure affects subsequent innovation. In 2019, the U.S. Food and Drug Administration (FDA) terminated an adverse event reporting exemption for a subset of medical device product markets and released 6 million previously withheld adverse events. We find that the rate of innovation in affected device markets declined by 17 percent, primarily driven by firms' responses to information about competitors' products rather than by the loss of ability to withhold information. The decline was attenuated in markets without close substitutes. Despite the overall reduction in innovation rate, firms introduced more incremental but safer and higher quality devices. Taken together, these findings show how large-scale negative product disclosure reshapes the allocation of innovative effort. 
By Colleen Cunningham (University of Toronto) and Jennifer Kao (UCLA)

Contact person: Elisabeth Hofmeister

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