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Paris School of Economics - PSE The Paris School of Economics is a leading research center in Economics located in Paris, France.

The Paris School of Economics is devoted to the advancement of knowledge and education in this field and combines its expertise in research with innovative teaching methods.

🌍 Just economics: a better deal for people and planetThe Paris School of Economics invites its alumni to an evening with...
03/11/2026

🌍 Just economics: a better deal for people and planet

The Paris School of Economics invites its alumni to an evening with Esther Duflo, President of PSE, on November 20th.

🗣️ 18:30 - Lecture by Esther Duflo:
"Just Economics: A Better Deal for People and Planet"

💬 19:15 - Roundtable with:
- Esther Duflo, 2019 Nobel Prize laureate in Economics
- Etienne Espagne (APE 2008), Senior Climate Economist at the French Development Agency (AFD)
- Mathieu Valdenaire (PhD 2011), French Treasury

🥂 20:00 - Cocktail

📍 Paris School of Economics, Daniel Cohen amphitheater
👥 On site, exclusively for PSE alumni

Places are limited. Log in with your PSE alumni account to register:
👉 https://www.pse-alumni.org/en/calendar/index/index?id=31

Can talking to AI about your personal life make you feel less alone? 🤔Generative AI is increasingly used for emotional s...
20/10/2026

Can talking to AI about your personal life make you feel less alone? 🤔

Generative AI is increasingly used for emotional support and companionship, and some see it as a remedy for loneliness. Claudia Senik (CEPREMAP, Paris School of Economics - PSE, Sorbonne Université), Ariell Reshef (CNRS, Paris School of Economics - PSE, i-MIP) and Louis Fréget (University College London) put this idea to the test.

In an experiment with more than 7,000 adults in France, half of the participants were asked to have at least one personal conversation a day with the AI of their choice for a month. The result: far from easing loneliness, these conversations left participants slightly lonelier, even though they found them fairly pleasant.

📊 Discover the key findings in our carousel and read the full article here: https://www.parisschoolofeconomics.eu/en/news/artificial-intelligence-ai-and-loneliness-by-claudia-senik-ariell-reshef-et-louis-freget/?utm_source=Facebook

👩‍🎓 Best wishes Alice Mevel (Paris School of Economics - Université Paris 1 Panthéon-Sorbonne) who will defend today her...
20/10/2026

👩‍🎓 Best wishes Alice Mevel (Paris School of Economics - Université Paris 1 Panthéon-Sorbonne) who will defend today her thesis entitled "Three Essays on Distributed Renewable Energy" under the supervision of Catherine Bobtcheff and Liam Wren-Lewis 🍀
https://www.parisschoolofeconomics.eu/personnes/alice-mevel/

📊 Does AI really benefit everyone the same way?Artificial intelligence is often presented as a tool that boosts the perf...
13/10/2026

📊 Does AI really benefit everyone the same way?

Artificial intelligence is often presented as a tool that boosts the performance of everyone who uses it. But a key question remains: which users benefit the most, and why?

This new carousel is inspired by the work of Daniel Martin, visiting researcher at PSE (June-July 2026) and professor at UC Santa Barbara, conducted with Andrew Caplin, David Deming, and their co-authors.

👉 Their analysis rests on a key idea: it's not just skill level that determines who benefits most from AI, but how well people know their own limits. Workers with lower baseline skills, but a clear sense of their own limitations, are the ones who gain the most.

Their research sheds light on a mechanism that often goes unnoticed in public debates about AI at work, showing that reducing performance inequality through AI depends not only on the quality of the algorithms, but also on how well people know themselves.

Find out more: https://www.parisschoolofeconomics.eu/?p=1468979&post_type=news&preview=true&_thumbnail_id=1472531&utm_source=Facebook

  💼Let's meet our candidates for the PSE Job Market 2026-2027: Marie Andreescu ; Thomas Bézy ; Davi Bhering ; Polina Bor...
09/10/2026

💼

Let's meet our candidates for the PSE Job Market 2026-2027:

Marie Andreescu ; Thomas Bézy ; Davi Bhering ; Polina Borisova ; Pascale Champalaune ; Amit Dekel ; Vitalia Eliseeva ; Marcelo Gantier ; Mélanie Gittard ; Gísli Gylfason ; Sehyun Hong ; Léo Jean ; Johannes Karge ; Aurélien Klopfenstein ; Paola Mallia ; Maria Montoya-Aguirre ; Luc Paluskiewicz ; Héctor Paredes ; Julia Paul-Venturine ; Bluebery Planterose ; Nina Rapoport ; Hannes Tepper ; Balasai Vanukuri ; Guillermo Woo Mora ; Jing-Rong Zeng & Álvaro Zúñiga-Cordero.

Each and everyone of them will be presented in dedicated posts in the next few weeks. The occasion to discover more about their profiles, research fields and Job Market papers!

More information: https://www.parisschoolofeconomics.eu/en/teaching/phd-program/job-market/

06/10/2026

🧠 Artificial intelligence is everywhere. But what does it have to do with the behavioral sciences?

Large language models are engineered objects that we built ourselves, and yet we don't fully know their capabilities in advance: we train them to predict the next word, only to discover afterward that they can translate, summarize, reason.

In this new episode, Maël Lebreton, professor at PSE and researcher at CNRS, specializing in behavioral economics, experimental economics, and psychology, explores this two-way relationship between AI and the behavioral sciences.

👉 His analysis rests on a key idea: the behavioral sciences, which have spent a century studying agents whose inner workings can't be directly observed (namely, humans), already have the tools to study these new systems. But the movement also runs the other way: these models are becoming research tools in their own right, capable of simulating participants or analyzing text at scale.

His work sheds light on an issue often underestimated in public debate about AI: the real question isn't just whether AI performs well, but whether humans know how to calibrate their trust in it, when to follow it, and when to correct it.

🔗 To learn more: https://www.parisschoolofeconomics.eu/en/news/artificial-intelligence-and-cognitive-sciences-by-mael-lebreton/

👩‍🎓 Best wishes Clémence Bois (Paris School of Economics - PSE  Université Paris 1 Panthéon-Sorbonne)  who will defend t...
05/10/2026

👩‍🎓 Best wishes Clémence Bois (Paris School of Economics - PSE Université Paris 1 Panthéon-Sorbonne) who will defend today her thesis entitled "Three Essays on International Trade and Sustainable Development" under the supervision of Lionel Fontagné and Pamina Koenig 🍀
https://www.parisschoolofeconomics.eu/en/persons/clemence-bois/

29/09/2026

Feed algorithms don't just organize what you see online. They can also influence what you think.

In this video, Philine Widmer, Researcher at PSE, presents the results of a 2023 study conducted with 5,000 US users on X (formerly Twitter). Randomly assigning participants to either an algorithmic or a chronological feed, she and her co-authors show that the algorithmic feed shifts political opinions toward more conservative positions, an effect that persists even after the algorithm is switched back off.

📊 One of the few studies to establish a causal link between platform design and political opinions, with implications for their regulation.

Watch the full interview: [link in bio]

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