How to make your research reproducible with AI tools, Nov 19, 2025
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Event language(s)
Description
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.
Learning outcomes
The participants will learn more about:
- What is the reproducibility crisis?
- Why is some research so difficult to reproduce?
- How to share and document your work so it is easily reproducible and reusable?
- Best practices and some AI tools for making your research more reusable.
Format
A 1,5-hour webinar with practical examples on data/software reproduciblity/reusability, followed by a Q&A.
Schedule and location
The training will be held on Zoom on November 19, at 1–2.30 PM Eastern European Time (EET).
Instructor(s)
Dr. Mika Jalava, Data Agent, Postdoctoral Researcher at Aalto Water and Development Research Group. Working with geodata and modelling.