Experimentation Webinar Series
AI in Science: Experimentation and Innovation
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.
📅 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.
đź“Ś Research Paper: Artificial Intelligence, Scientific Discovery, and Product Innovation – Aidan Toner-Rodgers, MIT
đź“Ś Trial Design: Standardizing Innovation Evaluation Through AI: Mitigating Cognitive Load, Bias, and Noise? – Charles Ayoubi, Essec 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.