DrivenData blog

Meet the winners with the best systems for detecting clinical terms in medical notes.

Learn about the top visuals created for the Pale Blue Dot: Visualization Challenge and the solvers behind them.

An introduction to the NASA Pose Bowl competition, with a benchmark solution for the object detection track

In this guest post from Veratai, we'll help you get started with the SNOMED CT Entity Linking Challenge!

Meet the teams who demonstrated winning solutions for the Research Rovers: AI Research Assistants for NASA Challenge.

Introducing the winners of the Unsupervised Wisdom Challenge! Meet the top teams who explored emergency department narratives about older adult falls.

What the shakeup in OpenAI's leadership tells us for the future of AI governance and the role of nonprofits in tech.

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!

DrivenData created an open-source package to detect harmful algal blooms using machine learning and satellite imagery. Included running a machine-learning competition, conducting end user interviews, and engineering a deployable pipeline

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.

An initial guide to using LLMs productively as a data scientist. This post covers LLM APIs, prompting, use cases, and more.