This publication contains my latest reading suggestions, i.e., the academic papers and articles I enjoyed reading in August 2023. 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:
- Law over Economics in the 2023 Draft Merger Guidelines (Daniel A. Crane – NLR)
- Startup Failure (Elizabeth Pollman – Duke Law Journal)
- Tech Giants and New Entry Threats (Yang Pan & Wei-Ling Song – SSRN)
- Deglobalisation and Competiton Policy (Luc Soete and Sven Van Kerckhoven – NLR)
- Is the European Commission biased against U.S. companies? (Bosch & Boston – YouTube) 🎥
- Potential Competition (Herbert Hovenkamp – SSRN)
- The Dynamic Competition Paradigm: Insights and Implications (David Teece – Columbia)
- Towards a Dynamic Concept of Competition that Includes Innovation (Wolfgang Kerber – OECD)
Artificial Inteligence:
- Cryptography may offer a solution to the massive AI-labeling problem (Tate Ryan-Mosley – MIT Tech Rev)
- Generative Interpretation (David A. Hoffman & Yonathan A. Arbel – SSRN)
- More human than human: measuring ChatGPT political bias (Motoki, Neto & Rodrigues – Public Choice)
- LLM aren’t people. Let’s stop testing them as if they were (Will Douglas Heaven – MIT Tech Rev)
- A collaboratively built large language model benchmark for legal reasoning (Guha et al. – Stanford)
- Lessons from GDPR for AI Policymaking (Wolff, Lehr, & Yoo)
- Expert Explains Why “Artificial Intelligence” is WRONG (Michael I. Jordan – YouTube) 🎥
Econ:
- Crossing the river by feeling the stones (W. Brian Arthur – McKinsey Quarterly)
- The Story of Marginal Revolution (Tyler Cowen & Alex Tabarrok – YouTube) 🎥
- The policy implications of economic complexity (Pierre-Alexandre Balland et al. – Research Policy)
- Could the Universe be a giant quantum computer? (David L. Chandler – Nature)
Thibault Schrepel
@ProfSchrepel
