Technical posts

Explore the latest in our mission to build a better world using data science and AI.

Content list

winners

Meet the winners of the Hakuna Ma-Data Challenge

Meet the winners who built the best wildlife identifiers!

winners

Meet the winners of the Open AI Caribbean Challenge

Meet the winners who were best able to map disaster risk from aerial imagery!

tutorial

Segmenting Buildings for Disaster Resilience - Benchmark

We'll show you how to start detecting building outlines for our latest disaster resilience challenge.

tutorial

How to Use Deep Learning to Identify Wildlife

We show you how to get off to a wild start on our animal identification competition using a neural network!

tutorial

Mapping Disaster Risk from Aerial Imagery - Benchmark

In this post we'll show you how to start working with aerial imagery to classify the roof material of buildings in St. Lucia, Guatemala, and Colombia.

tutorial

Richter's Predictor - Benchmark

In this post we'll show you how to start using data science to predict the extent of earthquake damage!

tools

Our Minimum Viable Process for changing and deploying software

Over the years, we have gradually settled on a process for changing and releasing software that is robust enough to prevent common failure modes but lightweight enough to be minimally annoying. Here’s what it looks like when we make a change.

winners

Meet the winners of Sustainable Industry: Rinse Over Run

Meet the winners who were best able to predict cleanliness levels and draw insights for more sustainable industrial practices!

tutorial

Sustainable Industry: Rinse Over Run - Benchmark

We're really excited to launch our latest competition! In addition to an interesting, new prize structure, the subject matter is at the intersection of sustainability and industry. Improvements to these kinds of processes can have upside for both a business and the planet.

winners

Meet the winners of Power Laws: Cold Start Energy Forecasting

Meet the winners who were best able to tackle the cold start problem in energy forecasting!

tutorial

How to Use an LSTM for Timeseries and the Cold-start Problem

We show you how to get a warm start on our cold start competition using a neural network!

tutorial

Machine Learning With A Heart - Benchmark

We've all got to start somewhere. In this post we'll show you how to start using data science to predict heart health!

winners

Results from Pri-Matrix Factorization and a New Open Source Tool for Wildlife Research and Conservation

Using AI to study the natural world: check out the results!

winners

Meet the winners of Power Laws: Anomaly Detection

Meet the winners who were best able to use machine learning to detect anomalies in building energy consumption!

winners

Meet the winners of the Power Laws: Forecasting Energy Consumption

Meet the winners who were best able to use machine learning to predict building energy consumption!

winners

Meet the winners of Power Laws: Optimizing Demand-side Strategies

Meet the winners who were best able to optimize energy use with a photovoltaic array and battery system!

winners

Meet the winners of the Pover-T Tests challenge

See how DrivenData's top modelers managed to predict poverty based on individual and household-level survey data.

tools

Concept To Clinic tools highlight: Travis CI

Continuous integration is a best practice for software development. We think it's a best practice for data science, too.

tools

Concept To Clinic tools highlight: FOSSA

Complying with open source licenses is difficult. Today we're talking about a tool that has made it easier for the Concept to Clinic challenge.

winners

Meet the winners of the N+1 Fish, N+2 Fish challenge

See how DrivenData's top modelers managed to predict length, species, and count from videos of fish captured on fishing vessels.

tutorial

Benchmark for Pover-T Test - Predicting Poverty

We're launching a new competition to predict poverty. In this post, we'll show you how to get started!

tutorial

Pri-matrix Factorization - Benchmark

How about some deep learning to identify wild animals in camera traps? Here's a benchmark post to get contributors started in our newest challenge.

Stay updated

Join our newsletter or follow us for the latest on our social impact projects, data science competitions and open source work.

There was a problem. Please try again.
Subscribe successful!
Protected by reCAPTCHA. The Google Privacy Policy and Terms of Service apply.

Work with us to build a better world

Learn more about how our team is bringing the transformative power of data science and AI to organizations tackling the world's biggest challenges.