VOLUNTEERS TO FIGHT CORONAVIRUS (COVID 19)
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-19Join
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
"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"Read More
"CoronaWhy opens new horizons for medical research with Big Data: We use the Slack messaging service to communicate internally. We make a daily video call with Zoom to coordinate and update the different work teams."Read More
"Machine-learning expert Artur Kiulian, a Kaggle member in Los Angeles, is coordinating around 800 experts world-wide to work on different aspects of the data set."Read More
"One of the challenges, Kiulian says, is taking unstructured data combed from thousands of research papers and turning it into something more manageable."Read More
"Story about how CoronaWhy got started"Read More
WHo we are
started CoronaWhy because he realized that we are all in this together. Now CoronaWhy is an international group of 700+ 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.
view All Daniel Lindenberger
Focused on Organization / Logistics. Consensus facilitation, conflict resolution, workshop development & leadership, programming, business planning.
Runs venture studio that helps build technology using AI/machine learning. Degree in Systems of Artificial Intelligence. Author of “Robot Is The Boss”, Member of Forbes Technology Council
Independent consultant/advisor on AI/ML for startups, full-stack developer and a co-founder of tech ventures. He is a published author of predictive modeling algorithms with application in computational biology
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)
Please spread our "Call to Action" document across your social channels to maximize reach about who we are and what we need help with right now.CALL TO ACTION
How to join
We are working on streamlining the process, please join our slack and trello as those are the main tools that are used right nowJoin
Apr 4, 2020
- Formalize the list of skill-tags in order to facilitate new resource on-boarding
- Back-log pruning for the slacker boards.
- We have a new member on slacker, they need to be connected to the right team/task.Summary
00:01 - First successful internal education webinar
01:11 - Note taker process/protocol
04:34 - There is no magical solution to PM, it’s all about full integration into teams
05:48 - Different types/dimensions of managers needed
07:05 - Visualizing onboarding management process
08:55 - Task-specific PM
12:45 - Connecting human resources and PM
13:15 - Manual MVP for match people to teams by tags
15:12 - Communications: understaffed but trying to serve needs of teams
19:50 - Team: Risk Factors Update
22:45 - **WE NEED HR PERSON TO HELP US WITH NEEDS AND HIRING**
20:01 - Team Risk Factors: Update
23:45 - Team Geo: Update
27:50 - Team Transmission: Update
30:00 - Team Vaccines: Update
31:32 - Computational resources update
33:00 - Discussing ideal outputs of the tasks
34:00 - Content needed (articles, infographics, interviews)
Apr 3, 2020
00:53 - Amazing progress of Vaccines research team - You can check out which and how specific drugs are being covered in the WhiteHouse CORD-19 dataset.
05:05 - Latest update on Risk Factors, Geo, Transmission and Vaccines teams progress.
11:42 - Insights about achievements on NLP tasks.
12:48 - Our ideas on how to organize/manage medical experts integration into specific tasks.
16:00 - Successful presentation of CoronaWhy progress to internal Deloitte division with potential allocation of human resources
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