The Data Science Bowl, presented by Booz Allen and Kaggle, is the world’s premier data science for social good competition.
The Data Science Bowl brings together data scientists, technologists, domain experts, and organizations to take on the world’s challenges with data and technology. It’s a platform through which people can harness their passion, unleash their curiosity, and amplify their impact to effect change on a global scale.
To present the competition, Booz Allen partnered with
[Kaggle](http://www.kaggle.com/)
, the leading online data science competition community with over 1 million members around the world. During a 90-day period, participants, either alone or working in teams, gain access to unique data sets to develop algorithms that address a specific challenge. And each year, the competition awards cash prizes to top teams.
In 2015, participants
[examined more than 100,000 underwater images](http://www.datasciencebowl.com/competitions/assessing-ocean-health-at-massive-speed-and-scale/)
, provided by the Hatfield Marine Science Center, to assess ocean health at a massive speed and scale. More than 1,000 teams participated, submitting more than 17,000 solutions to the challenge. The winning team, Team Deep Sea, developed a classification algorithm that beat the current state-of-the-art by more than 10%, achieving human-level performance for some classes.
In 2016, they applied
[analytics in cardiology](http://www.datasciencebowl.com/competitions/transforming-how-we-diagnose-heart-disease/)
, transforming the practice of assessing heart function. Though the challenge was decidedly more complex than the prior year, this competition received nearly 9,300 submissions from more than 1,100 teams. In fact, the winning team, Tencia Lee and Qi Liu,
[are hedge fund traders](http://www.datasciencebowl.com/dsb_ii_winning_team/)
, not traditional data scientists. The National Institutes of Health is further studying results and sharing the winning approaches with the medical and research communities.
In 2017, nearly 10,000 participants worked to
[improve lung cancer screening technology](https://datasciencebowl.com/competitions/turning-machine-intelligence-against-lung-cancer/)
, submitting more than 18,000 algorithms. Preliminary results indicate reduction in false positive rate of 10% while improving accuracy by 10% over the state-of-the-art. A follow-on competition is in progress to take the advances from the 2017 Data Science Bowl algorithms from concept to clinic, sponsored by the Bonnie J. Addario Lung Cancer Foundation along with DrivenData.org.
Visit [DataScienceBowl.com][1] to learn more about the competition, get insights into emerging analytics techniques, and sign up for news alerts. 

**About Booz Allen Hamilton**
Booz Allen Hamilton (NYSE: BAH) has been at the forefront of strategy and technology for more than one hundred years. Today, the firm provides management and technology consulting and engineering services to leading Fortune 500 corporations, governments, and not-for-profits across the globe. Booz Allen partners with public and private sector clients to solve their most difficult challenges through a combination of consulting, analytics, mission operations, technology, systems delivery, cybersecurity, engineering, and innovation expertise. With international headquarters in McLean, Virginia, the firm employs approximately 24,225 people globally, and had revenue of $5.80 billion for the 12 months ended March 31, 2017. To learn more, visit
[www.boozallen.com](https://www.boozallen.com)
. 

Booz Allen brings its pioneering work in advanced analytics—and the industry-leading expertise of its more than 600-member data science team—to transform our clients’ data into actions that keep them competitive in today’s data-driven economy. To learn about Booz Allen’s data science capabilities, visit our [NextGen Analytics & Data Science page][2]. 

**About Kaggle**
Kaggle is the world's largest online data science community. With more than one million members across 194 countries, the Kaggle community uses its diverse set of academic backgrounds to solve complex data science problems. Working as individuals or in teams, the winning competitors are awarded prizes and industry recognition for their accomplishments.

**Broad Institute**
For the 2018 Data Science Bowl challenge, our non-profit data partner is the [Carpenter lab][3] at the [Broad Institute][4] of Harvard and MIT. This research group aims to bring advanced computational methods into the hands of biologists and is best known for its open-source software, including [CellProfiler][5], used by thousands of biologists around the world. 


  [1]: http://www.DataScienceBowl.com
  [2]: https://www.boozallen.com/consulting/strategic-innovation/nextgen-analytics-data-science
  [3]: http://www.broadinstitute.org/~anne
  [4]: http://www.broadinstitute.org
  [5]: http://www.cellprofiler.org