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About

AI Agents for Economics and Business Research​

AI Agents in Economics and Business Research is a two-day, practice-first workshop focused on how researchers and practitioners can use modern AI systems responsibly in real workflows.

The workshop combines conceptual foundations with hands-on implementation across topics such as:

  • large language models and AI agents
  • context engineering and multi-agent workflows
  • AI for ideation, market research, and analysis
  • AI-supported programming and reproducible workflows
  • responsible AI use, including reliability and bias awareness

Participants work through block-based exercises and apply the methods directly to research and business-style use cases.

This workshop equips both researchers and practitioners with the conceptual foundations and hands-on tools needed to apply AI models in economics and business research, as well as the responsible use of AI models. The content emphasizes how AI can support market research, innovation (e.g. ideation), and everyday tasks such as programming. Beyond the foundations, key themes will include context engineering, the use of AI agents, and an overview of image, video, world models. In this intense workshop, participants will be diving into the state of the art and practice using AI in hands-on practice.

Source: Tinbergen Institute course page

Finn-Ole Höner​

Finn-Ole Höner is the instructor for this workshop. He is a PhD candidate developing AI methods for innovation management and market research.

With a background spanning computer science, data science, and econometrics, he bridges technical and marketing disciplines in both his teaching and research. He has taught in courses on text analytics, natural language processing, and machine learning, combining hands-on programming expertise with a deep understanding of data-driven decision-making and AI.