Our focus is to organize a large group of volunteers of varying skills, availability and commitment into a group that is highly effective at ideating, coordinating and accomplishing tasks that aid the medical community’s ability to answer key questions related to COVID-19
We are all in this together and for the sake of our high risk segments of the population, it is incumbent on every member of society, every business and every government to make an effort in solidarity to overcome this Pandemic using all the tools available with the collective creative problem solving capability of human society worldwide.In response to the COVID-19 pandemic, the White House and a coalition of leading research groups have prepared the COVID-19 Open Research Dataset (CORD-19).
This freely available dataset is provided to the global research community to apply recent advances in natural language processing and other AI techniques to generate new insights in support of the ongoing fight against this infectious disease
WHAT ARE WE DOING
The current state of global analysis work is fragmented and chaotic. For CoronaWhy to fulfil its mission it has to present as professional, responsive, effective. We invite collaboration and support.
We need to be the still point in the chaos that can magnetize and orient both those working on COVID-19 related issues and those seeking reliable information.
We are improving the effectiveness of worldwide efforts aimed at understanding COVID-19 and improving outcomes in all. We are helping organize multidisciplinary volunteers into functional and coordinated working groups. We are matching tasks, volunteers and resources to best effect
WHO WE ARE
Artur Kiulian started CoronaWhy because he realized that we are all in this together. Now CoronaWhy is an international group of 300+ volunteers whose mission is to improve global coordination and analysis of all available data pertinent to the COVID-19 outbreak and ensure all findings reach those who need them. It’s impossible to list everyone out but we will eventually.
WHO WE NEED
- Non-technical talent (project managers etc)
- Experienced problem formulators & solvers, we are severely understaffed with people who can take unstructured information and transform it into the actionable task
- People with experience in medical domains (virology, epidemics, biology)
- Cross-discipline operators (people that work on the intersection of different subject domains like technology + medicine)
- Researchers & principal investigators, traditional academic background that are familiar with the process
- Marketers & Communicators (we, as a group, need to more effectively spread our core message and mission to organizations that can help us)
- Data engineers (there is a lot of data and we need to preprocess and enrich it)
- Developers (we still need to build traditional non-AI systems to help ML pipeline)