Deadline: 1 May 2020
Lumiata is inviting data scientists, machine learning practitioners, developers, health IT professionals, public health experts and others around the globe, to participate in the Lumiata COVID-19 Global AI Hackathon.
Participants will develop solutions that address the challenges this pandemic poses to citizens of the world today and for the impact it will have in the future. Winners will be recognized with solutions fully open-sourced and hosted on the Lumiata AI Platform, as well as public recognition in an awards ceremony.
Lumiata Encourages participants to develop solutions for both current challenges posed by COVID-19 as well as longer-term concerns that will result following the immediate effects of the crisis. The challenge is to dream big and focus on tangible solutions that impact population health as well as business challenges. Examples include but are not limited to:
- What resources can provide to health systems and their staff to prepare them to care for patients with COVID-19 in the next 1-3 months, 3-6 months, 6-12 months, Beyond?
- How do Lumiata establish an intelligent credibility score for online COVID-19 information offered to the public?
- How will deferred elective procedures impact the health system and health plans once those sheltering at home re-engage with the health system?
- What is the projected financial impact of COVID-19 on health system stakeholders such as Medicare, Medicaid, small hospital systems and self-insured employers?
- How will the economic shut down affect the health system?
- Can they identify any early predictors of COVID-19 as indicators of future pandemics?
- How can governmental leaders measure the impact of decisions like lockdowns and social distancing?
- How can data scientists, analysts, and actuaries create models with an incomplete picture from a data perspective, how can they model with data that does not exist yet?
- Can they predict medical staff burn-out and mental health issues due to the crisis?
- How can they speed up the clinical trial process in general and more specifically, the recruitment process?
- How can AI / ML help researchers working on disease investigation?
These are some of the questions that Lumiata is hearing from customers. Do not let the specific questions limit your imagination, please suggest new ideas thinking about health system stakeholders.
Eligibility Criteria
- Engineers, back-end and front-end software developers, data scientists, product managers and UX designers who wish to contribute are all invited to participate.
- Participants will develop solutions that address the challenges this pandemic poses to citizens of the world today and for the impact it will have in the future.
- Winners will be recognized with solutions fully open-sourced and hosted on on the Lumiata AI Platform and published with full credit to the developer, as well as public recognition in an awards ceremony.
Judging Criteria
- Impact
- How much impact the submission will have once in production? It can be measured in terms of people reached, people helped, money saved, etc. This is the most important item in the criteria list, the best submissions will the have the greatest impact.
- Scale
- Can the submission scale as it comes to life in production? Scale can be measured by number of users for a submission, the number of applications that an ML model can fit into, number of use cases fulfilled by the submission, etc.
- Feasibility
- How feasible is it to bring the submission live to production? Feasibility needs to be high.
- Innovation
- How unique is the submission? Is it really something unique, and new that there is no prior art on? How much is it pushing the boundaries of the status quo?
Application Requirements
- This hackathon welcomes brand new ideas, as well as projects that individuals or teams may already have in flight that meet hackathon requirements.
- The following are the supported submission types:
- Working software, an end-to-end working piece of software that can be executed in a target computer, it can have a command line or GUI interfaces.
- Machine learning model(s) tackling a specific problem (Lumiata encourages novel solutions and algorithms beyond standard ML and Neural Networks models).
- A report or data visualization that illustrates some data analysis that addresses a specific problem.
- The following will be required for every submission:
- A write-up describing the submission.
- A link to a public Github repo with code for the submission.
- Instructions on how to run the project.
- A short video describing the idea and why it makes a difference.
For more information, visit https://www.lumiata.com/hackathoncovid19.html#
