NASA launches open data challenge with Amazon Web Services

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2014_06_earth NASA, with the help of Amazon Web Services, is opening up its OpenNEX platform for an Earth Science challenge. (Credit: NASA)

NASA, by virtue of Amazon Web Services’ cloud, is challenging the public to create ways to study the planet’s actual clouds.

NASA announced its earth sciences challenge Tuesday aimed at harnessing its OpenNEX platform, a collection of open climate and earth science data — hosted on Amazon Web Services — through which NASA scientists share modeling, scientific results and analysis codes.

The challenge will take place in two stages. The first is an “ideation” stage in July, during which groups will pitch novel uses of OpenNEX’s data, earning up to $10,000 for their ideas. The “builder” portion of the challenge, starting in August, will see groups given between $30,000-$50,000 for an app or algorithm that promotes climate resilience. The winner will be chosen in December.

Earlier this year, NASA hosted a similar two-day challenge geared toward building open-source solutions for space exploration. After four of the projects in NASA’s Space App Challenge won awards, project manager Tsengdar Lee said NASA wanted to “do something more grand” with this challenge.

“There’s only so much you can do in two days,” Lee said in an interview. “What we are looking for is more involved.”

Lee talked about how the cloud allows for challenges like this, which in turn gives the public a chance to quickly innovate.

“Think about our current model,” Lee said. “If you want to use our tools, our datasets, you go to a NASA-hosted facility. You want to apply for an account? There’s a very, very involved process. They will check your credentials, your nationality. For some students and citizens out there, it would take months. Going to Amazon, there’s no such issue. It’s open dataset, open platform.”

2014_06_opennex_drought_image NASA satellite data incorporated into OpenNEX shows global views of drought conditions. Data from the OpenNEX platform will be used in NASA’s Earth Science challenge. (Credit: NASA Earth Exchange)

 

Harnessing AWS’s capabilities is something Lee highlighted Tuesday during a symposium at the Washington Convention Center. After hearing about the National Institute of Health’s 1000 Genomes Project two years ago, he “got excited” about the possibility of what AWS could do with NASA’s data, including turning it into “science as a service.”

AWS allowed Amazon to release a wide range of data from NASA’s NEX, including climate projections spanning back to 1950, North American forest disturbances and drought monitoring in California.

However, Lee recognized what Amazon was truly capable of when studying droughts in the actual Amazon, coincidentally.

“Back in 2005, when [scientists] did the study, it took them 24 months,” Lee said. “We captured that entire workflow. When we reproduced the result, we figured out there was a stat that wasn’t done correctly.”  Using the captured workflow, they reproduced the study using AWS in six months.

“It’s no longer cost prohibitive to do the big things,” said Ariel Gold, a program manager for Amazon’s global public sector. “It’s no longer technically prohibitive to do the big things.”

Beyond technology, Amazon is providing education and research grants for the challenge, which allow researchers to overcome any barriers they have in accessing or using AWS. NASA has also released a number of online lectures and lab modules ahead of the challenge.

“I want science throughput,” Lee said. “The goal is to get information out of our datasets and get decision-enabled information, build up the knowledge and enable decision making.”

Those interested in registering for the challenge can sign up via NASA’s website.

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Agencies, Amazon Web Services (AWS), Applications & Software, big data, challenges, data analytics, Department of Health and Human Services (HHS), Departments, Government IT News, Innovation, National Aeronautics and Space Administration (NASA), National Institutes of Health (NIH), open data, open source, Tech, Tsengdar Lee
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