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Friday May 29, 2026 2:00pm - 3:15pm CEST
Coding has long been a skill journalists wanted to learn to make their investigations more efficient and rigorous. The main barrier was the significant time investment required to develop that skill. But since large language models emerged, we no longer need to write code ourselves. We do, however, still need to make informed choices when instructing an LLM to write code for us. Otherwise, those choices get made for us by the model.

How do we instruct the LLM best? How can we understand a code? And how do we catch potential mistakes? No prior coding knowledge is required to attend this session. You'll learn a simple, systematic approach to conversations, context management, and effective prompting that will help you to code anything. The participants should have an account with a large language model provider (ChatGPT, Claude, Gemini or similar).
Speakers
avatar for Ada Homolova

Ada Homolova

ARENA, Austria/ Slovakia
Adriana is a freelance data journalist, trainer and public spending nerd. She coordinates the data skills training track on the Dataharvest conference, and herds frogs at The Pond.

https://homolova.sk/newsletter
avatar for Johan Schujit

Johan Schujit

Data Engineer, Resolve.
I'm a data engineer responsible for EveryPolitician and PoliLoom at OpenSanctions. I'm a self-taught hacker with a stubborn belief that good data should be open and technology should serve the public interest. Previously at Follow the Money.

Friday May 29, 2026 2:00pm - 3:15pm CEST
3.04

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