In 2017, we’ll turn machine intelligence against lung cancer, which sees 225,000 new cases in the U.S. alone every year. Competition results have the potential to advance our understanding of how all types of cancer develop and spread in the body.
Lung cancer is one of the most common types of cancer, with nearly 225,000 new cases of the disease expected in the U.S. in 2016.
Using a data set of high-resolution scans of lungs provided by the National Cancer Institute, participants will develop artificial intelligence algorithms to accurately determine when lesions in the lungs are cancerous. This will dramatically reduce the false positive rate that prevents low-dose CT scans from being widely used for lung cancer detection.
Competition results have the potential to advance our understanding of how all types of cancer develop and spread in the body. They’ll also free radiologists to spend more time with patients.
This year, the Data Science Bowl will award a total prize purse of $1 million— provided by the Laura and John Arnold Foundation— to those who observe the right patterns, ask the right questions, and in turn, create unprecedented impact around this high-priority issue.
In addition, $5,000 will be awarded to each of the top three most highly voted Kernels (Total of $15,000) and $10,000 in prizes to be awarded for sharing your Data Science Bowl journey on social media – more details to be announced on February 1, 2017.
Use the hashtags #DataSciBowl & #Data4Good, and we'll reward you witha chance at $2,500 for sharing your connection.
In 2014-2015, participants examined more than 100,000 underwater images, 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 15,000 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%.
In 2015-2016, they applied analytics in cardiology, transforming the practice of assessing heart function. Though the challenge was decidedly more complex than the prior year, this competition received nearly 1,400 submissions from more than 700 teams. In fact, the winning team, Tencia Lee and Qi Liu, are hedge fund traders, not traditional data scientists.
The momentum behind the Data Science Bowl comes from the collective minds and vision of a world-class team. Our common bond is our passion for trying to solve the previously impossible. We want to challenge ourselves, our colleagues, and data science community to take action and impact the world. We want to show that data science has the power to use insights from our past to build and unprecedented future. We want you to be part of something bigger than any one of us.
Interested in becoming a data scientist? Or changing to a new challenge? Check out career opportunites waiting now at Booz Allen.