1. Machine Learning tackles Ocean Health, Heart Health, Lung Cancer, and…
The Data Science Bowl
Machine Learning tackles Ocean Health, Heart Health, Lung Cancer, and…
Kirk Borne, Principal Data Scientist, Booz Allen Hamilton
Data Science For Social Good 2017

2. A commitment to change the world through data science.
Data Science Bowl
A commitment to change the world through data science. 2

3. 2015: Assessing Ocean Health3

4. 2016: Transforming Heart Disease Diagnosis4

5. 2017: AI vs Lung Cancer Why is accurate diagnosis so hard? 5
Courtesy of L. Schwartz, MD, Columbia University

6. Why lung cancer? 6

7. http:// concepttoclinic.drivendata.org
Results
Participation
10,000 participants forming 2,000+ teams
Contributed an estimated 160,000 hours
Winning teams
Liao Fangzhou and Zhe Li, two researchers from China’s Tsinghua U. with no formal medical background
Julian de Wit and Daniel Hammack, software and machine learning engineers based in the Netherlands (Julian placed third in the 2016 Data Science Bowl)
Team Aidence, from a Netherlands-based company that applies deep learning to medical imagery
Technical Results
Preliminary findings suggest top 10 solutions outperform best-in-class models by 10% with lower false positives.
Currently working to integrate ensemble models of winning solutions into clinical prototypes:
A first step in getting the results into clinical use is integrating the algorithms into practical, open-source, clinic-ready software and systems. The Bonnie J. Addario Lung Cancer Foundation and DrivenData are using the prize-winning models to host a challenge to do just that. Competition launched August 2017:
concepttoclinic.drivendata.org 7

8. We would like to hear your ideas…
Data Science Bowl #4 plans are in progress:
The data set and challenge problem are coming into focus
The launch date will be in the timeframe January 2018 (+/- one month)
The competition will run for 3 months
Prizes will comparable to previous years
We are looking for ideas for future challenge problems and hard data sets that have societal impact.
What is the next big challenge we should tackle?
How do we amplify the impact even more?
How can we help competitors through technology, mentorship, improved collaboration, etc.? 8