Artificial Intelligence, Algorithmic Recommendations and Competition

Data for Good Series: A Hands-on Tutorial on Using Machine Learning for Evidence Synthesis

Data for Good Talk: Data Access for Researchers under the Digital Services Act

Artificial Intelligence, Algorithmic Recommendations and Competition

Using Multimodal Neural Networks to Better Understand How Voters Process Audiovisual Information

Going Native and Compiling Code_ Exploring gender equality in programming cultures

The Handbook of Computational Social Science for Policy

Deep Learning for Multimodel Systems | Data Science Summer School 2023

Generative AI: Prompt Crafting and Creative Exploration | Data Science Summer School 2023

Hands-on Transformers: Fine-tune your own BERT and GPT | Data Science Summer School 2023

Statistics and Probability for Data Science | Data Science Summer School 2023

Calclulus for Data Science | Data Science Summer School 2023

Linear Algebra for Data Science | Data Science Summer School 2023

Introduction to Python Programming | Data Science Summer School 2023

Introduction to R Programming | Data Science Summer School 2023

Models, Mathematics and Data Science: How to Make Sure We're Answering the Right Questions

Insights into the OECD Data Science Engine Room

Creating Breathtaking AI Art with Stable Diffusion, Dall-E and Midjourney

Transformers in Natural Language Processing | Data Science Summer School 2022

Deep Learning for Multi-Modal Systems | Data Science Summer School 2022

Generative Adversarial Networks | Data Science Summer School 2022

Statistics and Probability for Data Science | Data Science Summer School 2022

Linear Algebra for Data Science | Data Science Summer School 2022

Data Science Summer School 2022 | Calculus for Data Science

Data Science Summer School 2022 | Introduction to Python Programming