Center for Collective Learning
@LearningCCL
Collective intelligence requires learning. The Center for Collective Learning works to make teams, cities, and nations smarter.
CCL's very own @zappala_chiara and @ManranZhu are presenting their work at @ConfCompSys this week in Exeter, UK! 🚀You can also check out our colleagues, @ZadorZsofi, @l_gajo, @pintergreg and Máté Mizsák from the @AnetiLabs presenting their most recent projects.

What do fame, historical GDP, and gender equality in science have in common? They were all explored by our colleagues at @IC2S2 2025! 👏Congratulations to @philippmkoch for winning the Best Parallel Talk award this year, and huge thanks to @zappala_chiara & @mel2kill for their…




Do you have what it takes to forecast International trade? Today, we are launching AI4trade, a global challenge where teams compete for cash prizes by submitting their best trade forecasts. But it comes with a couple of twists: 1. This is a future out-of-sample challenge, so…
Interested in the latest developments on economic complexity? This year's CEC will be held in the beautiful city of Toulouse. We have two amazing Keynotes Corinne Autant-Bernard & Ernest Miguelez, and a half-week packed with activities, starting with a one day Summer School…
Ever wondered how social bots impact activism? 🤖🌍 Check out our new study rdcu.be/dZle5 @Nature @SciReports with @lli_donotpanic & @balazsvedres ! We found that bots push neutral or positive users to view @XRebellionUK more negatively See details below! ⬇️
Today, the Nobel prize recognized the work of Acemoglu, Johnson, and Robinson. In a recent paper, we reproduce their classic Atlantic trade result when validating our machine learning derived historical estimates of GDP per capita.
New PNAS paper. Historical GDP per capita data is scarce, but data on the places of birth, death, and occupations of famous individuals is abundant. In this paper we estimate the historical GDP per capita of hundreds of regions in Europe and North America using a machine learning…
📢New paper in PNAS! How rich was Vienna at the time of Mozart or Tuscany at the time of Michelangelo? Historical GDPs per capita are scarce, leaving this unanswered. Here, we provide new estimates using machine learning to augment historical GDPs per capita. /1 🧵
The wait is over! The Conference on Economic Complexity (CEC) program is live! 195 people have already registered to attend. Will you join us in Budapest on July 10, 11, and 12? complexity.world/program #CEC2024 @uni_corvinus

**New DataViz Project** Curious about academic impact? Tired of rankings? Today we are introducing Rankless (rankless.org) a new data exploration platform that can help you explore the academic impact of thousands of universities. All universities produce impact that…
The Center for Collective Learning (CCL) is proud to announce the First Conference on Economic Complexity that will take place at #Corvinus between 10-12 July 2024. ⏰ Extended abstract submission deadline: 19 April, 2024 👉 uni-corvinus.hu/post/event/con…
Have you played the Wikipedia navigation game? And, are you any good at it? In this new paper @ManranZhu from CCL together with @TahaYasseri and Janos Kertesz asked hundreds of people to play the "Wikipedia navigation game:" an online competition where you must navigate from…
❗️Exciting opportunity for anyone with a curiosity for understanding the complexities of the economy - a day-long Summer School course led by Cesar Hidalgo. Find out more at the following link➡️: uni-corvinus.hu/post/event/sum…
***New Paper*** Many of you are familiar with urban scaling, the idea that outcomes such as innovation and crime grow super-linearly with city size. But what if I told you that the "network of cities" was better at explaining some of these outcomes? In a new paper led by…
Our new paper on business transaction and ownership networks with @sandor_juhasz & @RebekaOSzabo is out in the Network Science journal. bit.ly/3PY507d My view on this paper is that we analyse the micro-level building blocks of a nation-wide network. (1/2)
🚀Be a #postdoc 🚀at @LearningCCL @uni_corvinus and work with me on #organizational learning and team dynamics (escape rooms) in an amazing community and wonderful city of Budapest! 📅 Deadline: March 28 🔗 Apply now: uni-corvinus.hu/ind/career-opp… Thanks for sharing!
🌎 Apply now for the 2024 Complexity Global School and dive deep into complex methods in economics & governance. Join thinkers from across the Americas for this 12-day program happening at both SFI & @treesuniandes July 21 - Aug 3. App closes April 8th! ow.ly/hj3T50QFl50
Today was my first day at @LearningCCL at @uni_corvinus as a postdoctoral research fellow in Budapest! Excited to dive into new projects and contribute to the research community here, alongside @cesifoti and his team. Grateful for this opportunity! #AcademicTwitter
The Center for Collective Learning seminar series is back. This year, our opening speaker will be Linda Argote from CMU, one of the most influential scholars in organizational learning. Linda will be discussing recent work on transactive memory (knowledge of who knows what). The…
Multiple Postdoc positions in Budapest, with @Orsi_Vasarhelyi, @cesifoti, @johannes_wachs centerforcollectivelearning.org/jobs