Event
Experimentation Webinar Series
We are excited to introduce the IGL Experimentation Webinar Series, a new initiative designed to help researchers learn from the latest randomised controlled trials (RCTs) and refine their experimental designs before they go to the field.
Our goal is to upskill the research community by sharing insights, best practices, and common pitfalls in experimental research.
Do you have a paper, trial, or idea you’d like to present or get feedback on? If you’re interested in presenting, register your interest here
Webinar Format
Each 1.5-hour webinar will feature:
- Two related trials: one paper with trial results and one trial design that has not yet been implemented
- A discussant who will analyse both trials and share their expertise on experimental research.
- An optional 30-minute audience Q&A to engage with presenters and discuss key takeaways.
Webinar Schedule
Past Webinars
📅 May 15, 2025 – 4:00-5:30pm CEST – Experiments in SMEs, Business Accelerators and Trainings
📌 Research Paper: Untangling the Benefits of Business Accelerators: Experimental Evidence on What Works and for Whom – Michael Leatherbee, Associate Professor (Pontificia Universidad Católica de Chile)
📌 Trial Design: Building Sales Capability in SMEs: A Study of a Scalable Training Program to Drive Sales Growth’ – Mariana Pereira-Lopez, Senior Economist (IFC, World Bank Group)
👤 Discussant: Leonardo Iacovone – Lead Economist, World Bank
📅 March 27, 2025 – AI in Science: Experimentation and Innovation
Note (May 2025): This webinar featured the paper “Artificial Intelligence, Scientific Discovery, and Product Innovation.” Following a confidential internal review conducted by MIT, and as stated in their official press release, MIT has expressed no confidence in the provenance, reliability, or validity of the data, nor in the veracity of the research. In alignment with MIT’s findings and to help assure an accurate research record, we have removed the recording and related materials from our website.
📌 Research Paper: Artificial Intelligence, Scientific Discovery, and Product Innovation – Aidan Toner-Rodgers, MIT
📌 Trial Design: Standardizing Innovation Evaluation Through AI: Mitigating Cognitive Load, Bias, and Noise? – Charles Ayoubi, Essec Business School
👤 Discussant: Jacqueline Lane – Assistant Professor, Harvard Business School
Why Attend?
- Gain insights from cutting-edge experimental research on AI.
- Engage with researchers and discuss how their findings relate to your own work
- Learn best practices and avoid common pitfalls in experimental research.