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Reading suggestions – November 2024

Here are the Network Law Review’s monthly reading suggestions: topics include breaking up Big Tech, the evolution of market structure reasoning, regulating AI without stifling innovation, IKEA, an evolutionary take on platforms, an Olympic marathoner, and complexity science in law, among others. Brought to you by Thibault Schrepel.
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Reading suggestions – October 2024

Here are the Network Law Review’s monthly reading suggestions: topics include innovation competition, how IP stimulates online competition, empirical work on merger control, AI compliance tools, the story of Meta, the new crypto report, the danger of digital sovereignty, Nobel in economics and Hayek among others. Brought to you by Thibault Schrepel.
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Reading suggestions – September 2024

Here are the Network Law Review’s monthly reading suggestions: topics include digital refusals to deal, antitrust litigation against academic publishers, antitrust policy under the Biden administration, competition among AI foundation models, the political science behind large tech companies, patent hunters, and methods to measure the costs and benefits of regulation, among others. Brought to you...
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Reading suggestions – August 2024

Here are the Network Law Review’s monthly reading suggestions on the Commission guidelines on exclusionary abuses, the myth of lax merger enforcement, competition in platform ecosystems, the myth AI scaling, fully automated AI research, the universality of technology diffusion, Bitcoin power law, complexity economics, start-up acquisitions, and more... brought to you by Thibault Schrepel
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Reading suggestions – July 2024

Here are the Network Law Review’s monthly reading suggestions on neo-brandeisians, privacy and antitrust, killer acquisitions, the AI Act impact on innovation, openness in AI, the link between AI, capitalism and democracy, software eating the world, industrial policy in semiconductors, Haruki Murakami, running marathons, effective altruism, and more... brought to you by Thibault Schrepel
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Reading suggestions – June 2024

Here are the Network Law Review’s monthly reading suggestions on neo-brandesians, digital tying, innovation networks, AI’s persuasive power, scaling plurality, VCs and startups, Kenneth Arrow and more... brought to you by Thibault Schrepel.
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Reading suggestions – May 2024

Here are the Network Law Review’s monthly reading suggestions on the openness of AI models, populism in antitrust, antitrust myths, AI regulation, the AI Act, the great flattening, crypto regulation, Adam Smith, law & political economy, Fermat’s last theorem and more... brought to you by Thibault Schrepel
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Reading suggestions – April 2024

Here are the Network Law Review’s monthly reading suggestions on computational antitrust, the DMA, Microsoft, open-source AI, the evolution of technologies, dynamic competition, and more... brought to you by Thibault Schrepel
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Reading suggestions – March 2024

Here are the Network Law Review’s monthly reading suggestions on the dynamics of generative AI, networks-of-networks science, global computational antitrust, the Apple Music streaming case, dynamic competition, AI doomsayers, AI influencers, the evolution of technologies, behavioral economics, scaling theory, and more... brought to you by Thibault Schrepel
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Reading suggestions – February 2024

Here are the Network Law Review’s monthly reading suggestions on the dynamics of generative AI, big tech’s R&D expenditure, a pro-innovation approach to AI regulation, the unreasonable effectiveness of algorithms, synthetic data, Gemini and Google’s culture, increasing returns, and more... brought to you by Thibault Schrepel
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Reading suggestions – January 2024

Here are the Network Law Review’s monthly reading suggestions on how to design better antitrust agencies, computational antitrust, generative AI, the fight for open source, computable law, Chinese AI regulations, crypto islands, combining crypto and AI, e/acc, new measure of digital gains, and more... brought to you by Thibault Schrepel
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Reading suggestions – December 2023

Here are the Network Law Review’s monthly reading suggestions on the concept of future markets, superhuman science, trustworthy AI, the AI Act and its impact on innovation, the resurgence of crypto, cypherpunks, the post-open source movement, evolutionary economic theory and more... brought to you by Thibault Schrepel
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Reading suggestions – November 2023

Here are the Network Law Review’s monthly reading suggestions on FTC rulemaking on noncompetes, neo-Brandeisianism’s democracy paradox, natural selection of artificial intelligence, blockchain antitrust, nano contracts, the impact of regulation on innovation, the Santa Fe Institute and more... brought to you by Thibault Schrepel
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Reading suggestions – October 2023

Here are the Network Law Review’s monthly reading suggestions on how the AI Act impacts competition (law), how the Brown Shoe case glorifies waste, the DSA’s appeal for authoritarian regimes, Binance’s antitrust issues, the law and economics of privacy, a new kind of metaverse interview, the greatest economist of all time, assembly theory, and more......
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Reading suggestions – September 2023

Here are the Network Law Review’s monthly reading suggestions on generative AI, the new merger guidelines, AI in legal analysis, complexity science, Nvidia, the metaverse, the Trolley Problem, regulatory capture, and more... brought to you by Thibault Schrepel
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