This publication contains my latest reading suggestions, i.e., academic papers and articles I enjoyed reading in October 2024. You can follow me on X (@ProfSchrepel) or LinkedIn (here) to be notified of similar articles on a more regular basis. The Network Law Review is also available on X (@NetworkLawRev) and LinkedIn (here).
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Antitrust:
- From Theory to Practice: Computing ‘Innovation Competition’ in Antitrust (Teodora Groza – NLR)
- Big Tech Acquisitions And The Ghost Products (Axel Gautier – NLR)
- Chinese (Computational) Antitrust (Angela Zhang – Stanford) 🎥
- Antitrust Antidote: June-September 2024 (Jeremy Sandford & Koren W. Wong-Ervin – NLR)
- How IP Rights Create Competition in E-commerce (Herber Hovenkamp – NLR)
- New Insights into the Evolution of Judicial Standards in U.S. Merger Cases (John Mayo – NLR)
- Latin Antitrust Chronicles: July – September 2024 (Mattiuzzo, Ragazzo & Cataldo – NLR)
- Using AI to Clarify Antitrust Concepts (Mariateresa Maggiolino – Stanford) 🎥
- Computing ‘Innovation Competition’ (Schrepel & Groza – SSRN)
- Antitrust After the Coming Wave (Daniel A. Crane – NYU)
- A systematic content analysis of innovation in European competition law (v2) (Thibault Schrepel – EJLC)
- Navigating Antitrust in Tech – Insights from a Legal Veteran (Don Rosenberg – TOTM)
Artificial Inteligence:
- Machines of Loving Grace (Dario Amodei)
- An open-source compliance framework for Generative AI models (ETH Zurich, INSAIT, and LatticeFlow AI)
- Can LLMs Generate Novel Research Ideas? (Chenglei Si et al. – Arvix)
Digital:
- Meta (Ben Gilbert and David Rosenthal – Acquired) 🎧
- State of Crypto Report 2024 (Daren Matsuoka et al. – a16z)
- A new mapping of technological interdependence (Andrea Fronzetti Colladon et al. – Research Policy)
- The sovereignty trap (Konstantinos Komaitis et al. – Atlantic Council)
Econ:
- Econ Nobel Predictions, Missed Chances, and Questionable Winners (Tabarrok and Cowen – MR)
- The Sveriges Riksbank Prize in Economic Sciences in Memory of Alfred Nobel 2024 (Nobel)
- Innovation Networks in the Industrial Revolution (Lukas Rosenberger et al. – NBER)
- Hayek’s Nobel at 50 (Peter Boettke – EconLib)
- Rockefeller’s Autobiography (David Senra – Founders) 🎧
- Forecasting Macroeconomic Dynamics using An Agent-based Model (Samuel Wiese et al. – INET)
Thibault Schrepel
@ProfSchrepel
