Participants in the hackathon will be introduced to several genomic and gene-disease data sources. Participants will explore methods for using these data for predicting drug discovery and drug development success.
Suitable for participants with some form of data science background, with some capability of organizing, graphing, analyzing, and/or building sophisticated prediction models.
Participants will be divided into teams of 4-6 each, with a team leader assigned and prepared for guiding the team through the exercise beforehand. To be most effective, hackathon participants should sign up >1 week ahead of time with a background survey to permit creation of suitable teams with realistic team objectives to be clearly articulated. Teams will work for up to 3 hours on their respective challenges. At the conclusion, teams will present their results to the broader group. Example team challenges could include the following: