Submit your work

We are looking for papers and presentations that advance the state of the art in economic complexity. These are papers focused on economic complexity, relatedness, and the use of machine learning methods to explore questions of economic geography, economic growth, and development.

Submitted abstracts will be evaluated by the scientific committee.

Scientific Committee

  • Semanur Soyyiğit | Kırklareli University, Department of Public Finance

  • Bogang Jun | Research Center for Small Business Ecosystem, Inha University

  • Balázs Lengyel | ANETI Lab, Corvinus University of Budapest & HUN-REN Centre for Economic and Regional Studies

  • Flávio L. Pinheiro | NOVA Information Management School (NOVA IMS), Universidade Nova de Lisboa

  • Elton Freitas | Universidade Federal de Sergipe, Center for Collective Learning

  • Viktor Stojkoski | Faculty of Economics, Ss. Cyril and Methodius University in Skopje

  • Johannes Wachs | ANETI Lab, Corvinus University of Budapest & HUN-REN Centre for Economic and Regional Studies

  • Philipp Koch | EcoAustria

  • Johannes Dahlke | Department of High Tech Business and Entrepreneurship, University of Twente

  • César A. Hidalgo | Center for Collective Learning, Toulouse School of Economics & Corvinus University of Budapest

 

Key dates

  • March 15 2027 - Deadline for abstract submission

  • Mid-April 2027 - Notification about acceptance

  • June 30 2027 - Registration deadline

For any questions, please contact us at contact@centerforcollectivelearning.org