Center for Global Research Data

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April 16, 2019 | Vivli and Microsoft to host Innovation Challenge focusing sharing on rare disease data sets

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Join us to find solutions to problems in data privacy and rare disease clinical data sharing and network with tech and medical leaders in the field

Datathon in Boston; free attendance; monetary prizes

WHAT: Microsoft and Vivli, a clinical trial data sharing platform, are joining forces for a one-day datathon in Boston on data privacy and rare disease clinical trial sharing. Rare disease clinical trials often have just a few participants and protecting their privacy and their data is paramount.  But many individuals with rare diseases and their families are eager to have their data shared in order to make progress on their disease and save lives.  How do we solve this?

The problem statement: How can teams safeguard participant privacy and minimize privacy loss while maintaining the scientific analytic value of the data, for smaller data sets or rare disease data set that are more highly identifiable?

WHEN: June 21, Boston’s District Hall, from 10:30 am to 7 pm.  Meals provided!

WHY: This is a great opportunity to network with leaders in this field from Microsoft representatives to leading scientists in the field. Prior experience is not a requirement, attendance is free, and monetary prizes for the top winning solutions chosen by judges.

PRIZES

The Global Microsoft-Vivli Datathon prize will go to members from the winning team with the highest score. They will receive $1,500 and an invitation and travel expenses paid (up to $1,500 for two team members) to Vivli’s Annual Meeting in Washington, DC. The team will be invited to present their solution to stakeholders in the data sharing community (non-profit foundations, pharmaceutical industry and leading academic institutions). Additional prizes:

$500: Most Innovative Solution

$200: Outstanding Graduate Submission—submission from a team comprised of a majority of graduate students

$200: Outstanding Undergraduate Submission — submission from a team comprised of a majority of undergraduate students

WHO: Individuals or teams from all backgrounds, skills, genders, and geographies are welcome. We accept a wide range of applicants, from beginners, to experienced veterans of innovation challenges. Invited are all experts and leaders in data analytics, data science, technology, clinical research, patient advocacy, data privacy and statistics.

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Questions? support@vivli.org