• Graduate Program
    • Why study Business Data Science?
    • Research Master
    • Admissions
    • Facilities
    • Browse our Courses
    • PhD Vacancies
  • Research
  • Browse our Courses
  • Events
    • Events Calendar
    • Events archive
    • Tinbergen Institute Lectures
    • Summer School
      • Deep Learning
      • Economics of Blockchain and Digital Currencies
      • Foundations of Machine Learning with Applications in Python
      • Machine Learning for Business
      • Marketing Research with Purpose
      • Sustainable Finance
      • Tuition Fees and Payment
      • Tinbergen Institute Summer School Program
    • Annual Tinbergen Institute Conference archive
  • News
  • Alumni

AI Agents in Economics and Business Research

This two-day workshop provides researchers and practitioners with both the conceptual foundations and practical tools needed to apply AI in economics and business research, while emphasizing responsible use.

Dates: March 30-31, 2026

Faculty 

Finn-Ole Höner is a PhD candidate for AI in Marketing at the Erasmus School of Economics. His work focuses on the conceptualization of how AI agents can be used to foster innovation in retail settings, the investigation of LLMs as tools for market research, and the development of new AI models that advance marketing science. 

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.

Course

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. 

Learning Objectives

Use AI agents to work on complex problems

Topics

  • Large Language Models
  • AI Agents
  • Responsible AI
  • AI for innovation, (market) research
  • AI supported programming 

 

Item Information
Academic Lead Finn-Ole Höner
Degree program Certificate
Credits Participants who joined at least 80% of all sessions and pass all (group) assignments successfully, receive a certificate of participation stating that the course is equivalent to a workload of 1 ECTS. Note that it is the student’s own responsibility to get these credits registered at their own university.
Mode Short-term
Language English
Venue Tinbergen Institute Amsterdam, Roetersstraat 11, 1018 WB, Amsterdam
Capacity 30-45
Fees Tuition Fees and Payment 
Application deadline March 16, 2026
Apply here Application Form