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Finding vulnerable solar inverters before the blackout.
Find your perfect bowl, one preference at a time!!
Predicting hospital ED overload before it happens using 13 years of California data, four models, and context-aware recommendations grounded in official HCAI analytics.
LA crime data leads to real decisions, but unknown crime times are often logged as midnight or noon. We flagged these unreliable timestamps and found they disproportionately affect vulnerable victims.
How AI influences the job market using Data and Machine Learning to Understand AI Risk and Job Prospects
With Aesteria, you can determine the suitability of finding a meteorite in a given geographic position.
Breathe in & breathe out!
As avid enjoyers of good food and gatekept, niche restaurants, we’re tired of being recommended the same restaurants over and over again. That’s why we created Datadash.
Healthy Home Audit maps environmental health risk by ZIP code across LA/OC. Using XGBoost and public data, it reveals asthma, cardio, and pollution inequality to help communities and policymakers act
As the threat of cyber attacks and their consequences skyrocket, it's important to evaluate our methods of combatting these breaches. We'll use these metrics to recommend solutions to breach victims.
A platform that analyzes how hackathons are evolving over time.
We turn the idea of the California Dream into a data-driven housing analysis, identifying crisis zones across California and highlighting which communities should be prioritized for intervention.
How can we help students achieve academic success?
Determining the best amenities for your house depending on certain characteristics.
Used machine learning and demographic data to help small restaurant owners find their ideal location across LA and OC.
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