Competition posts
Explore the latest in our mission to build a better world using data science and AI.
Content list
Meet the finalists of the Pushback to the Future Challenge
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.
Meet the winners of the Tick Tick Bloom: Harmful Algal Bloom Detection Challenge
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.
Meet the Final Winners of the U.S. PETs Prize Challenge
Learn how these top teams applied novel privacy-enhancing technologies to the problems of financial crime and pandemic forecasting.
Meet the BioMassters
Meet the minds behind the top models for predicting aboveground biomass using remote sensing data!
VisioMel Challenge: Predicting Melanoma Relapse - Benchmark
Get started with the VisioMel Challenge! Come up with the best algorithms for predicting melanoma relapse.
Pushback to the Future: Predict Pushback Time at US Airports - Benchmark
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.
Meet the winners of the Mars Spectrometry 2: Gas Chromatography Challenge
Meet the minds behind the top models for identifying the chemical composition of planetary soil samples using gas chromatography-mass spectrometry!
How to Predict Harmful Algal Blooms Using LightGBM and Satellite Imagery
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!
Getting started with the Meta AI Video Similarity Challenge
In this post, we walk through the steps for getting started with the Meta AI Video Similarity Challenge.
Meet the Winners of the U.S. PETs Prize Challenge: Phase 1
Hear how these top teams applied novel privacy-enhancing technologies to the problems of financial crime and pandemic forecasting.
The BioMassters Challenge - Benchmark
In this guest post by MathWorks, we'll show you how to start working with satellite data to help conservationists predict above ground biomass.
Mars Spectrometry 2: Gas Chromatography - Benchmark
In this post, we will show you how to get started on analyzing gas chromatography-mass spectrometry (GCMS) data.
Meet the winners of the Snowcast Showdown competition
Meet the winners who most accurately estimated snow water equivalent across the Western U.S. in real-time.
Meet the winners of the Where's Whale-do Challenge
Meet the winners of the Where's Whale-do challenge, and learn about the deep learning models they developed to identify individual Cook Inlet beluga whales from images.
Meet the winners of the Run-way Functions Challenge
Meet the participants who built the best models for predicting airport configurations for 10 U.S. airports! Understanding the complex interactions between air traffic, weather, and airspace operations can help make air travel more smooth and efficient for everyone.
Meet the winners of the NASA Airathon: Predict Air Quality Challenge
Meet the competitors who topped the leaderboards in the NASA Airathon challenge. Their predictions of surface-level air pollution could give millions of people the information required to protect their health.
Meet the winners of the Mars Spectrometry Challenge
Meet the minds behind the top models for identifying the chemical composition of planetary soil samples using mass spectrometry! Identifying the compounds within such samples can help scientists understand the past habitability of Mars.
Where's Whale-Do? Data Exploration and Benchmark
How to get started with the Where's Whale-do beluga photo-identification challenge!
Meet the winners of the Cloud Cover Detection Challenge
Better identifying and removing clouds from satellite imagery enables a wide variety of environmental applications in disaster recovery, conservation, and more. Get to know the winning participants who advanced state-of-the-art methods in cloud detection!
Introduction to Image Classification using Camera Trap Images
We'll show you how to get started identifying animal species from camera trap images!
Happy April Fools' Day from DrivenData (and our pets)
Hear from the DrivenPets about the results of our competition on the pet-productivity connection for remote workers
How to Estimate Surface-level NO2 using OMI Column NO2 Data
We'll show you how to preprocess HDF5 files and work with an OMI NO2 data product to estimate air quality around the world!
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