These results show that cooperation depends strongly on context, incentives, and social dynamics. The model captures these nuances and offers a framework to explore how policies—or even AI-driven systems—might promote collective welfare in society 🤖

3️⃣ Finally, when decisions are made under time pressure, both people and our model respond less cautiously. This leads to a short-term increase in cooperation—suggesting that intuitive, fast decisions may favor collective over self-interested behavior.

2️⃣ We also find that modifying the payoff structure strongly affects outcomes. Rewarding cooperation or punishing defection both increase cooperative behavior, but punishment proves particularly effective at sustaining it over repeated interactions.

The results:

1️⃣ Our model replicates key patterns of human cooperation in multiplayer social dilemmas. Cooperation typically declines over time, as individuals learn that defection can be more rewarding. Yet, when groups are reshuffled, cooperation rises again—reflecting a temporary reset of trust.

We applied it to a multiplayer Prisoner’s Dilemma, where players repeatedly choose whether to cooperate or defect. Linking model parameters to social factors like rewards, group composition, and time pressure revealed how cooperation evolves over time.

🎯 To study how people make these choices, we used the Drift Diffusion Model—a neurocognitive framework describing how the brain gradually accumulates evidence before deciding.

💭Human decision-making is shaped by emotions, biases, and social pressures. When choices involve others, they become social decisions—whether to cooperate, compete, or conform. Cooperation is vital for trust and progress, yet fragile when personal incentives favor defection.

🚨 Finally our paper

"Predicting human cooperation: sensitizing drift-diffusion model to interaction and external stimuli"

is out 🤩 doi.org/10.1098/rsif...

Laura Ferrarotti, Bruno Lepri and @ricgallotti.bsky.social

@mobs-fbk.bsky.social
@chub-fbk.bsky.social

New pre-print out ! Work led by @eleandre.bsky.social, in collaboration with M. Napolitano and @ricgallotti.bsky.social. Using Foursquare data from Bologna, we find that the distribution of POIs follows a clear power-law pattern at the city scale. To explain this, we introduce a framework where ...

📣🚨 New work out on @plos.org Computational Biology!

Excited and proud to have provided the world with more maps of Puglia🕷️

Thank you all @luzuzek.bsky.social Oriol Artime @ricgallotti.bsky.social @mtizzoni.bsky.social

journals.plos.org/ploscompbiol...
💊main results below👇

Our latest work with @martonkarsai.bsky.social, David Sánchez and José Ramasco just got published! (and open access)

Here's a short thread to give you our main results ⏬

🚀Job loss disrupts individuals’ mobility and their exploratory patterns🚀
Thanks to a great collaboration with @marcodena.bsky.social, @marcotonin.bsky.social, Bruno Lepri and @lorenzolucchini.bsky.social our latest study is finally out in iScience!

Mapping the interaction between science and misinformation in COVID-19 tweets arxiv.org/abs/2507.01481

So excited to see this come together! 🎉

Our latest study explores the interplay between science and misinformation in public debates during COVID-19 🔍 arxiv.org/abs/2507.01481

👇Take a look

Absolutely incredible turnout for Budapest Pride! So proud of all the organizers, including some old friends, who estimate hundreds of thousands— major embarrassment to Orban

Cocktails in Paris 🥂
Thanks @sunbelt2025paris.bsky.social for this amazing view ✨🇫🇷

@ricgallotti.bsky.social
@tlouf.bsky.social @luzuzek.bsky.social @annabertani.bsky.social

🚨If you're around Paris come to see @tlouf.bsky.social talking today about the structure and dynamics of information flow on Telegram at @sunbelt2025paris.bsky.social and @css-fr.bsky.social

🎙️Busy morning today at @sunbelt2025paris.bsky.social for CHuB talking about mis/disinformation on Twitter and Mastodon

@ricgallotti.bsky.social
@kaveh-kadkhoda.bsky.social
@annabertani.bsky.social

How do cities expand?
Using surface growth physics, we found a unique exponent governing their local geometry. Instead, their dynamics range from smooth diffusion to abrupt coalescence, with demographic pressure driving where each city lands on that spectrum.

arxiv.org/abs/2506.10656

Summer vibes in Trento ☀️

perfect for a CHuB-day at the Caldonazzo lake ⛰️🏖️

@ricgallotti.bsky.social @luzuzek.bsky.social @tlouf.bsky.social @andreaguizzo.bsky.social @ulyssemarquis.bsky.social

The @css-conference.bsky.social is offering travel grants for presenters from low- and middle-income countries who need support for travel, fees, or visas.

Last week to apply & share your research in person:
👉 ccs25.cssociety.org/open-arms-gr...

#CCS2025 #OpenArmsGrant

Great to see @luzuzek.bsky.social present our work on the interaction between science and misinformation during COVID-19 yesterday at @netsciconf.bsky.social

Hello world 👩🏼‍💻