LUMIATA

COVID-19

GLOBAL AI HACKATHON

APRIL 17 – MAY 1

As we face the most severe global health crisis many of us will see in our lifetime, we recognize the role AI can play in addressing challenges posed by COVID-19. We invite 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.

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WHO

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.


WHAT

We encourage 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 we 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 we 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 we 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 we predict medical staff burn-out and mental health issues due to the crisis? 

• How can we 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 we are hearing from customers. Do not let the specific questions limit your imagination, please suggest new ideas thinking about health system stakeholders.


WHEN

Lumiata COVID-19 Global AI Hackathon will kick-off on April 17. Participants will have until May 1 to develop their solutions. Awards will be announced on May 8. Winning solutions will be deployed on the Lumiata AI Platform and published with full credit to the developer. We welcome all ideas related to the criteria.

Judges

photo: ANEESH CHOPRA

ANEESH CHOPRA

President, Care Journey
Former United States CTO
Obama Administration

photo: ADAM DONDRO

ADAM DONDRO

Chief Information Officer,
California Health and Human
Services Agency

photo: EDWARD FRENKEL

EDWARD FRENKEL

Professor of Mathematics,
University of California, Berkeley
Member, American Academy
of Arts and Sciences,
Author, Love and Math

photo: CHRIS GOUGH

CHRIS GOUGH

General Manager,
Intel Health & Life Sciences

photo: AASHIMA GUPTA

AASHIMA GUPTA

Global Director, Healthcare Solutions Google Cloud

photo: JUNLING HU

JUNLING HU

Founder and CTO, Question.ai
Author, The Evolution of Artificial Intelligence

photo: VINOD KHOSLA

VINOD KHOSLA

Founder, Khosla Ventures

photo: KATHERINE KLEIN

KATHERINE KLEIN

Edward H. Bowman Professor
Professor of Management
Vice-Dean, Wharton
Social Impact Initiative

photo: BILL LUCIA

BILL LUCIA

Chairman & CEO, HMS

photo: SEVERENCE M. MACLAUGHLIN, Ph.D

SEVERENCE M.
MACLAUGHLIN, Ph.D

Managing Director,
DeLorean Artificial Intelligence

photo: LISA SUENNEN

LISA SUENNEN

Leader, Manatt Digital and Technology
Leader, Venture Capital/Emerging Companies Practice

Science Advisor

photo: NEIL SMITHLINE, MD, FACP

NEIL SMITHLINE, MD, FACP

Dr. Neil Smithline is president of StratiVision LLC, a boutique health care consultancy focused on the intersection of cost and quality and serves as a physician-consultant to Mercer Health and Benefits. In his more than 35 years’ experience, in the medical community, Dr. Smithline has served as chairman of the department of internal medicine, department of nephrology and the intensive care unit at the Tucson Medical Center, and as an associate professor at the University of Arizona, College of Medicine.

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?


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 (we encourage 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


DATA SOURCES

Below are free data sources. Click to access.

Logo: Starschema
Logo: HDX

Logo: Johns Hopkins University

Logo : New York Times

Logo: World-o-Meter
Logo: Google BigQuery

Sponsor

Lumiata would like to extend a special thanks to our sponsor.

Logo: BlueCross BlueShield

Partners

Lumiata would also like to thank our partners.

Logo: ChallengeRocket.com
Logo: Sigma
Logo: Ascend.io
Logo: Google
Logo: WizeLine
Logo: Rocketset
Logo: NearSoft
Logo: Snowflake