By

Thibault Schrepel

Reading suggestions – June 2021

Click here to order “Blockchain + Antitrust” *** This post features my latest reading suggestions based on the academic papers and press articles that I enjoyed reading in June 2021. As I tend to favor the active sharing of open-source publications, you can follow me on Twitter (@LeConcurrential) or LinkedIn (here) to access similar articles on a more regular basis. SUBSCRIBE TO THE...
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Antitrust Jukebox: three (very) unique webinars

Nicolas Petit and I are pleased to welcome you to the Antitrust Jukebox. During three (very) unique webinars, we will question our (very) special guests on their top 3 academic articles ever written, their top 3 advice to young researchers, and their top 3 things they’d change in antitrust. It will be both friendly and informative. Join...
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Reading suggestions – May 2021

Click here to order “Blockchain + Antitrust” *** This post features my latest reading suggestions based on the academic papers and press articles that I enjoyed reading in May 2021. As I tend to favor the active sharing of open-source publications, you can follow me on Twitter (@LeConcurrential) or LinkedIn (here) to access similar articles on a more regular basis. SUBSCRIBE TO THE...
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A concrete proposal to improve the DMA

A few weeks ago, Nicolas Petit kindly invited me to discuss the Digital Markets Act (“DMA”) at the European University Institute. I had prepared one slide for my presentation (above). I thought I would develop my thinking further in a post. Here goes. The DMA appears mainly concerned with the redistribution of wealth. It takes existing digital infrastructures as set,...
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Digital Markets Act: a conservative piece of regulation

The Digital Markets Act (“DMA”) is a complex piece of regulation. It includes some great ideas (as tackling predatory innovation) while being surprisingly conservative (defined as “​the wish to resist great or sudden change” by the Oxford Dictionary). Chapter III intends to “set out the practices of gatekeepers that limit contestability and that are unfair” (p. 13), but one...
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A list of open-access resources to learn computer science

With each passing day, our societies become a little more digital. In this context, I decided to list free access resources to learn the fundamentals of computer science (basic programming, artificial intelligence, blockchain, cryptography…). These resources do not require any prior technical knowledge; they are all accessible, fun, and academic. I classified them per field of expertise and level....
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Reading suggestions – April 2021

Click here to order “Blockchain + Antitrust” *** This post features my latest reading suggestions based on the academic papers and press articles that I enjoyed reading in April 2021. As I tend to favor the active sharing of open-source publications, you can follow me on Twitter (@LeConcurrential) or LinkedIn (here) to access similar articles on a more regular basis. SUBSCRIBE TO THE NETWORK...
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Documenting computer science resources for social scientists

EDIT: here are the results! Thank you! *** Dear all, I have created this short Google form to document open-access resources that could help social scientists (lawyers, economists,  political scientists, psychologists…) learn (about) computer science (broadly speaking, being basic programming, AI, blockchain, cryptography…). I will make the final list open access on www.leconcurrentialiste.com. Thank you very much for...
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Reading suggestions – March 2021

Click here to order “Blockchain + Antitrust” *** This post features my latest reading suggestions based on the academic papers and press articles that I enjoyed reading in March 2021. As I tend to favor the active sharing of open-source publications, you can follow me on Twitter (@LeConcurrential) or LinkedIn (here) to access similar articles on a more regular basis. SUBSCRIBE TO THE...
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Why “future proof” regulation is a bad idea

One day, we will be in a position to develop evolutive regulation. The law will modify on “its own” using different machine learning systems adapting to their environment. “Future-proof” regulation will then become not only possible but also very handy. In the meantime, it is… not a great idea. At all. Let me explain. Our world evolves constantly. Complexity science...
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“Control = liability”: exploring Section 230, the DSA, Big Tech, Wikipedia and Blockchains

Control equals liability. Anyone who controls an area, product, or service—whether physical or digital—is responsible for what happens there (or with it). There are some exceptions to this rule, but the principle remains. For instance, the manager of a bar is liable if a customer trips over a case of wine. Similarly, the manager of...
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New podcast: Stanford Computational Antitrust

I am thrilled to be introducing our new podcast. 🎙 Link: https://taplink.cc/stanfordcomputationalantitrust The Stanford Computational Antitrust podcast explores how computational tools impact antitrust analyses and procedures. Our first episode is already available on Apple Podcasts, Spotify, Stitcher, and YouTube! Another one is coming later this week…
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Reading suggestions – February 2021

Click here to order “Blockchain + Antitrust” *** This post features my latest reading suggestions based on the academic papers and press articles that I enjoyed reading in February 2021. As I tend to favor the active sharing of open-source publications, you can follow me on Twitter (@LeConcurrential) or LinkedIn (here) to access similar articles on a more regular basis. SUBSCRIBE TO THE...
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Reading suggestions – January 2021

Click here to order “Blockchain + Antitrust” *** This post features my latest reading suggestions based on the academic papers and press articles that I enjoyed reading in January 2021. As I tend to favor the active sharing of open-source publications, you can follow me on Twitter (@LeConcurrential) or LinkedIn (here) to access similar articles on a more regular basis. SUBSCRIBE TO THE...
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Competing with new combinations: the case of DALL·E

Introducing DALL·E In early January 2021, OpenAI introduced DALL·E, a trained neural network “that creates images from text captions for a wide range of concepts expressible in natural language.” DALL·E is a real technological breakthrough, “a 12-billion parameter version of GPT-3 trained to generate images from text descriptions, using a dataset of text-image pairs. […] It has...
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