RT @SaraGuidiSpighi: My academic writing professor once said "all law scholars want to make the world better". The world begins with us. Pr….

RT @EuropeanLawOpen: “He thinks he's happy but it's just a nerve cell in his brain that's getting too much stimulation or too little stimul….

Introducing Grok Imagine.

Let's be honest: *Everyone's* life.

My LLM students will discover the draft DMCCb next week - you just made their life easier🤌.

10/ The separation of digital information from noise touches societal values so central that it cannot but become a contested commodity.

9/ Conclusion: Understanding the limitations of market prices in reflecting societal values is essential for crafting regulations for the digital economy. Incommensurability defines the outer boundaries of markets and limits the sum of things that can be freely exchanged within.

9/ The reason for intervention is that the market price mechanism, as MJ Radin argued 30 years ago, cannot price in certain societal values. Incommensurability problems like this mean that the price mechanism doesn’t do what it is supposed to do.

8/ How digital platforms select information represents their interests and those of their paying clients - and only instrumentally those of private users. It might not always reflect the public interest.

7/ I find that the separation of information from noise is a contested commodity, according to MJ Radin’s framework. As a demonstration, take recent EU regulation: Both DMA and DSA limit digital platforms’ freedom to perform this action against payment.

6/ In this piece published @EuropeanLawOpen @CUP_Law I discuss how the separation of information from the noise became something that is bought and sold in cyberspace, and if there are reasons to limit its commodification:

5/ The digital economy brought a new form of noise to our lives. Digital technology makes so much information available to internet users that its sheer quantity makes it unintelligible, random, meaningless. We need someone to separate meaningful information from the noise.

4/ In other words: Noise is an artefact of randomness. A representation of meaninglessness.

3/ In data science, noise drowns out intelligible signals. Noise is the absence of a story that can be told about data points, the absence of discernible patterns. Noisy data is meaningless data.

2/ Noise can also be heard: The sound of ocean waves comes very close. If the audio gets then visually represented, it looks like this. Again, there is no repeating pattern, no rythm, no discernable structure.

Publication on noise, information & commodification. 1/ Remember the screen of old TVs? That’s a visible representation of noise. There is no structure, no repeating pattern, just flimmering dots.

Research-wise, there is a forthcoming piece in European Law Open (CUP): It’s about information & noise, how the separation of one from the other became something that is bought and sold in cyberspace, and if there are reasons to limit its commodification.

I'm infinitely grateful to everyone who made the last four years @EUI_EU so special, particularly @CompetitionProf. I also handed over my role at the EUI Competition Law Working Group to @SaraGuidiSpighi, @nmorenobelloso & @TeresaOriani. Please get in touch with them!.

I have been appointed Lecturer in Competition and Internet Law @lawstrath. In Scotland, I will continue my research into competition, commodification & distribution in digital markets; teach LLB and LLM courses on related topics; finish that dang PhD.

More information here:

Discover an increasingly mediatised, evolving, and transformative field of law - competition law is everywhere! Prospective students: There is no better moment to get into the field than now. I’ll share with you my passion for the regulation of the digital economy.