We need to know how to reduce the negative impact of COVID-19. The sooner we know what works the sooner we overcome. We learn what works by carefully evaluating all the relevant research and observations. We have a lot to learn and we have many people who know how to do this careful evaluation to learn it.
One way we accelerate our knowledge about COVID-19 is to share what we learn and coordinate among the many working to develop our knowledge. This way we reduce excess duplication and cover more needs. A focus of the COVID-19 Knowledge Accelerator is for people creating the systematic reviews of our research to share and coordinate their efforts. But there are other purposes of this project. Let's help each other learn how to do it faster while we are doing it.
Another way we accelerate our knowledge about COVID-19 is to use computers in advanced ways like what may be called artificial intelligence, machine learning, machine intelligence, natural language processing, supercomputers, or high-performance computing. Computers are not able to do this yet because we have not yet trained a machine how to evaluate scientific research to determine what works. The people doing the systematic reviews can train the machine on what they do, and the machine can be developed to help the people do it faster. Let's help each other learn how to do it faster while we are doing it.
For a 2-page summary of this idea see COVID-19 Knowledge Accelerator: Help Us Help Us Overcome COVID-19 Impact at the Speed of Thought
You can join any group meeting at any time. Here's the current meeting schedule:
Please share your expertise through the code system development efforts. You can participate without being present at group meetings. To join an expert working group use the code system development intake form.
To be added to the COKA distribution email list to receive daily progress updates, email email@example.com
Soon we should be able to answer this with a big list, derived by compiling the lists of everyone signing up for any of the project support roles noted above. As of March 27, 2020 this was an idea offered by Brian S. Alper, MD, MSPH, FAAFP, FAMIA. Ideas are derived by building on the contributions of others and this idea was developed by Dr. Alper's roles or interactions with the following groups (in alphabetical order):
As of June 26, 2020, COKA had more than 100 working meetings with more than 40 active participants from more than 25 organizations from acedemia, industry, government, and non-profits in 7 countries.
As of August 1, 2020, Dr. Alper started Computable Publishing LLC to support standard-based machine-interpretable expression of public knowledge, especially related to healthcare and scientific evidence.
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