AI + Data Show and Tell

AI is just now all the rage, and is used for absolutely everything. Three very experienced data journalists talk about the gains, but also pitfalls, of using AI for data journalism.

Case Study 1: Hits and misses when extracting data with the help of AI

Helena Bengtsson looks into ways of extracting data with the help of AI. The hits and the misses and how to think to fix it.

Case Study 2: AI as research coach

Luuk Sengers shares how AI saved their current large cross-border data investigation… twice. Not by writing code (although of course it can do that) but by proposing break-through methodological solutions when we were out of our depth.

Case Study 3: AI for the tedious things

Jonathan Stoneman shows how AI can save time getting tedious details right — things which can be a pain to do manually, but are a breeze for something like Claude.

Helena Bengtsson

Helena Bengtsson is the data journalism editor at Gota Media and Bonnier News Local, two regional publishing companies in Sweden with 55 local titles. She previously worked as the data journalism editor at Sveriges Television, Sweden’s national television broadcaster, for 27 years and has also served as Editor, Data Projects of the Guardian UK between […]

Jonathan Stoneman

Jonathan Stoneman is a freelance trainer specialising in data journalism. He has been working with data since 2010. Before that he worked at the BBC – as a reporter, producer, editor of output in Macedonian and Croatian, and finally as head of training at BBC World Service.

Luuk Sengers

Luuk Sengers is an experienced teacher and investigative journalist. He lectures at universities and in newsrooms and writes data-driven stories for the leading Dutch magazine De Groene Amsterdammer. He is also the co-developer of Story-Based Inquiry.

26 June 2026 11.20–12.20

Location: PSH 314

Demo

Talk

All levels

Data