DrivenData blog

How can we use data and AI to help combat the effects of climate change? This second post pulls together real-world datasets from DrivenData challenges for those looking to get hands-on experience.

There is a huge variety of Earth observation datasets that can help to address our world's most pressing challenge. All the options can be hard to navigate. Learn about some key datasets and resources for getting started!

Feeling overwhelmed by the complexity of satellite data? We've been there. Join one of our data scientists on their learning journey to understand what satellite data is all about!

View and share helpful code related to a competition in the new Community Code section!

How can we use data and AI to help combat the effects of climate change? This post walks through real-world examples from DrivenData challenges working with public, private, and social sector organizations.

Hear from the winners how they managed to predict melanoma relapse using digital pathology slides!

Introducing the winners of the Meta AI Video Similarity Challenge! Meet the top teams who identified copied and manipulated videos.

Meet the participants who built the best models for predicting when flights will push back from the gate! These finalists will enter the next phase of the competition and collaborate with NASA scientists to explore translating their winning models into privacy-preserving federated learning models.

The Community Spotlight features fantastic members from our DrivenData community. Brett Mullins is a graduate student whose work focuses on differential privacy and explainable machine learning.

The Community Spotlight features fantastic members from our DrivenData community. Dr. Helen Yannakoudakis is an Assistant Professor and the co-founder and Chief Scientific Officer at Kinhub.

Meet the participants who cracked the code to detect harmful algal blooms! Monitoring cyanobacteria in lakes and reservoirs keeps both the human and marine life that rely on these water bodies safe and healthy.

Learn more about DrivenData's recently announced AI chatbot, April.

Learn how these top teams applied novel privacy-enhancing technologies to the problems of financial crime and pandemic forecasting.

Meet the minds behind the top models for predicting aboveground biomass using remote sensing data!

Get started with the VisioMel Challenge! Come up with the best algorithms for predicting melanoma relapse.

Explaining the basic concepts and best practices for creating Python packages in early 2023 using pyproject.toml build standards.

Get started with the Pushback to the Future challenge! Come up with the best algorithms for predicting a flight's pushback time from real-time flight data.

Although Zamba's models are trained with animals from Africa and Europe, they can be used with videos from other locations that show species the models have never seen. We demonstrate with a dataset from New Zealand.

Meet the minds behind the top models for identifying the chemical composition of planetary soil samples using gas chromatography-mass spectrometry!

We'll show how to use satellite imagery and LightGBM to create a tree-based model predicting harmful algal blooms. This post will help you get started on our new Tick Tick Bloom Challenge!