ARPA-H is a new government organization created by Joe Biden. In their words:
The Advanced Research Projects Agency for Health (ARPA-H) supports transformative research to drive biomedical and health breakthroughs – ranging from molecular to societal – to provide transformative health solutions for all.
They are running two programs: DASH and BAA. Here is my First Entry.
Create New Submission in Six Easy Steps
1. Which focus area best fits your transformation? You can choose more than one.
√ Health Science Futures
√ Scalable Solutions
2. Provide a short title for your Submission to show in the bracket.
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3. Explain what transformation you are proposing. Articulate your objectives using absolutely no jargon.
Turn medical research into a computer game with teams, levels, a leaderboard, common goals and prizes. After reaching a level (diagnosis, treatment..), strategies are shared and published.
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4. Explain how is it done today, and what the limits of the current practice are.
Though research results are shared, a research team's -process- for achieving results isn't measured, documented or shared in a mechanized way, slowing the overall speed of research progress.
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5. Articulate what is new in your approach and why you think it will be successful and transformational.
Gamification attracts new researchers and helps them engage, learn, create and perform.
Formalizing research as a game enables best practices to be exchanged and combined in a mechanized way.
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6. To support the previous question, attach a piece of formatted Evidence that strengthens your Bracket Entry. Make sure to provide a good Evidence statement that captures the fact from the cited work that is critical to successfully achieving the proposed transformation. The citation should be from a source published after January 1, 2018.
Add Supporting Evidence
DOI, Link, or Citation
Paseman, W.G., "Catalyzing Research Using Patient Centered Games" - http://rarekidneycancer.org/blog/catalyzing-research-v2
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In a 3 day experiment, 17 teams identified “Genes of Interest” in a p1RCC patient's DNA and recommended therapeutics. The process also produced research methods applicable to other rare diseases
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