How to make your research reproducible with AI tools
This webinar by Aalto University features best practices from researchers who deal with reproducibility and reusability in their daily work.
Time: Wed 2025-11-19 12.00 - 13.30
Location: Zoom – Registrering krävs
Language: English
Participating: Dr. Mika Jalava, Data Agent, Postdoctoral Researcher at Aalto Water and Development Research Group
Register here
Science is about standing on the shoulders of giants – making new discoveries and building new applications by reusing foundations laid by others. But however collaborative process science is, we don’t always make it easy. Have you ever tried but failed to reproduce someone else's reported research results? How about your own results? According to scientific research this is not uncommon in academia, which has led to the phenomenon being dubbed as "reproducibility crisis". And reproducibility is just the first step of reusability.
In this webinar we will discuss the challenges in reproducibility and reusability of scientific data, methods, and computer code. We also look at how some current AI tools can be used to improve reproducibility of research.
Who can participate?
The webinar is aimed at staff and students who are interested in improving the chances their outputs, such as articles, thesis works, data, and code will be used and referenced by others. The webinar is free of charge and arranged by Aalto university and part of a seminar exchange between Aalto and KTH.
Full information can be found at Aaltos webpage