Gabors Data Analysis and AI Lab

Accelerating data analysis and AI learning through innovative and open educational resources.

About

Gabors Data Analysis and AI Lab is a research and education initiative housed within the Economics Department of Central European University. The lab brings together economists, quantitative social scientists, and data science professionals united by a core mission: making data analysis and data science education and research capabilities widely accessible. The lab serves as a bridge between academia and business, and between research and teaching. We create high-quality and innovative teaching materials for data analysis and econometrics and support data sciene and AI intensive research projects in economics and social sciences.

What we do

Our work centers on developing comprehensive educational resources tied to the Data Analysis for Business, Economics, and Policy textbook ecosystem. We create and maintain open-source code repositories, setup documentation, case studies, and practice materials, alongside instructor dashboards (dashboards.gabors-data-analysis.com) that support teaching worldwide. We launched an innovative Data Analysis with AI course reflecting our commitment to integrating artificial intelligence into quantitative education and research support. All our materials are free and open-source. We train the next generation of applied data analysts: our research assistants and associates launch careers as data scientists in business, pursue PhDs, or conduct policy research.

Where we are

We work in Vienna (AT), Budapest (HU) and online.

Staff and alumni

Senior staff

  • Gábor Békés, Director

Founders

  • Gábor Békés (CEU, Austria; KRTK, Hungary and CEPR, UK)
  • Gábor Kézdi (formerly: Corvinus, CEU, KRTK and U Michigan, USA)

Current analysts and associates

  • Daniel Barabás, associate
  • Márton Nagy, analyst
  • Tatyana Yakushina, analyst

Alumni

  • Endre Borza (Data scientist, Corvinus, Hungary)
  • Kenneth Colombe (Phd Student, Bonn, Germany)
  • Zsuzsa Holler (data scientist, SAS, Hungary)
  • Zsóia Kőműves (economist, Cambridge Econometrics, Hungary)
  • Eszter Pázmándi (data scientist, Spain)
  • Ágoston Reguly (AP, Corvinus, Hungary)
  • Kinga Ritter (data scientist, Spain)
  • Zsuzsa Vadle (Phd Student, CEU, Austria)
  • Ádám Víg (data scientist, Google, Hungary)

Partners

  • CEU Department of Economics, funding since 2013
  • CEU Teaching Development Grant, grant 2024
  • Cambridge University Press, textbook publisher

Events

  • Data Analystics in Business Jamboree, CEU 2025