Bayes Hack 2016 |
Washington D.C. meets Silicon Valley.
OpenDNS · April 23-24

Change the world with data.

Bayes Impact, a nonprofit backed by the Bill & Melinda Gates Foundation and Y Combinator, is hosting its second data science hackathon to bring together Silicon Valley and the federal government.

At our last hackathon, teams detected sex trafficking rings, predicted antagonistic drug interactions, and optimized police dispatches. This time around, we are creating data prompts in collaboration with the Chief Technology and Data Officers of six government agencies to build software solutions to our nation's most pressing challenges. Be a part of our government’s data revolution at Bayes Hack 2016.



Location

Bayes Hack 2016 will take place at OpenDNS HQ, on Bluxome St. in the heart of San Francisco. The address is: 135 Bluxome St. San Francisco, CA 94107

Prompts
Department of Veterans Affairs
The rate of suicide among veterans is 50% higher than the national average. As a result, there’s extensive research regarding the clinical and behavioral risk factors behind veteran suicide. What is the right way to link research conclusions to targeted and proactive care for US veterans and other high-risk populations?

Additionally, one of the VA's top priorities is to combat End Stage Renal Disease (ESRD) and Chronic Kidney Disease (CKD). How can technology tackle a medical problem that costs more each year than the whole National Institutes of Health?
Brief
Department of Health and Human Services
The ACA led millions of Americans to sign up for new health coverage, but information asymmetry misleads many when making key insurance decisions for themselves and their families. How can we translate new provider datasets into more equitable care practices and saved lives?

Opioid painkillers are the single biggest cause of prescription drug overdose, and rates of heroin overdose are skyrocketing. How can we use technology to learn the patterns of addiction to intervene before it develops?
Brief
Department of Labor
Economic landscapes change dramatically, often outpacing a workforce lagging in its adaptation to new opportunities and industries. How can data scientists leverage predictive modeling to close the gap?
Brief
Department of the Interior
Poor user interfaces for outdoor recreation only introduce new barriers to underserved populations already battling inequity. How can we overcome socioeconomic and geographic challenges facing urban communities trying to access public lands?
Brief
Department of Transportation
Preventing casualties due to the transportation of hazardous materials requires both effective regulation and constant maintenance of the huge and intricate networks that support transportation more generally. Current restrictions mean the empirical data is already there, but how can we stop accidents and environmental crises before they happen?

There are approximately 700 deaths per year on railroads, usually a result of traffic accidents or suicides. How can data on these preventable losses improve national mental health and healing efforts, and how can it shift focus towards communities at high risk?

At Bayes Hack 2014, several teams focused on optimizing police dispatches to prevent crime and improve response times in crisis. Similarly, how can we use rich emergency medical services data to optimize EMS dispatching and transport?
Brief
Department of Housing and Urban Development
Presented by Bloomberg and What Works Cities.

Data from grassroots initiatives present an emerging toolkit for community organizers and local planners. How can data be integrated into urban development to revitalize neighborhoods and make people happier?
Brief
Department of Commerce
The Consumer Financial Protection Bureau has detailed data on ~400,000 complaints filed against financial institutions. How can we minimize consumer abuse via ML?

NOAA satellites collect images of the Earth 24 hours a day, 7 days a week. How can we synthesize raster data with social metrics to develop high-level insight into human geographies?

One potential application of this birds-eye view is automated biodiversity monitoring to prevent regulatory missteps and environmental catastrophe. How can computer vision at huge scales guide ocean conservation and exploration?
Brief

Schedule

Saturday, April 23

Open: 9 AM
Welcome: 9:15 AM
Prompt introductions: 9:30 AM
Kickoff: 9:55 AM
Hacking begins: 10 AM

Sunday, April 24

Project expo: 10 AM
Showcase: 12 PM
Closing and drinks: 2 PM



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2016 Applications are closed.
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Prizes

Grand Prize

Let's hang out a little! Grab a San Francisco brunch with Matt Rogers (Nest) and Swati Mylavarapu (KPCB), then chat social good with Joe Lonsdale (Palantir, Formation 8) and Zac Bookman (OpenGov) over dinner. Once you've had a little rest, we'll fly you to Washington D.C. to pitch your hack to government innovators.

Top Agency Hacks

We'll set you up to work with the federal agency that wants to turn your hack into a solution for problems at scale. It's one thing to just hack social good; we're going to bridge the gap and make it happen.

The Experts
Marina Martin, Chief Technology Officer at the U.S. Department of Veterans Affairs
Ian Kalin, Chief Data Officer at the U.S. Department of Commerce
Xavier Hughes, Chief Innovation Officer at the U.S. Department of Labor
James Cham, Partner at Bloomberg Beta
Evan Hynes, Head of Community at Make School
Dan Morgan, Chief Data Officer at the U.S. Department of Transportation
Ron Bewtra, Chief Technology Officer at the U.S. Department of Justice
Jerry Johnston, Chief Data Officer at the U.S. Department of the Interior
Frank Chen, Partner at Andreessen Horowitz