17 votes
Accepted

Are there any COVID-19 (coronavirus) related optimization problems with input datasets that we can "crowd solve"?

Actually, yes, and Folding@Home is doing this right now. https://foldingathome.org/2020/02/27/foldinghome-takes-up-the-fight-against-covid-19-2019-ncov/ We need your help! Folding@home is joining ...
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10 votes

Are there any COVID-19 (coronavirus) related optimization problems with input datasets that we can "crowd solve"?

There is the following data set on the number of infections in China provided by Isaac Lin from the University of Hong Kong. https://github.com/BlankerL/DXY-COVID-19-Data/blob/master/README.en.md I ...
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  • 424
10 votes

Are there any COVID-19 (coronavirus) related optimization problems with input datasets that we can "crowd solve"?

I was thinking of ( no data but): determining which airline routes to block that will minimize the economic consequences given a very low risk of getting to the virus (like a chance constraint or ...
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8 votes

Are there any COVID-19 (coronavirus) related optimization problems with input datasets that we can "crowd solve"?

We (operations research community in Italy) have just offered our availability to contribute as we can. On our web site https://webgol.dinfo.unifi.it we just starting collecting ideas on how to help. ...
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7 votes

Are there any COVID-19 (coronavirus) related optimization problems with input datasets that we can "crowd solve"?

Another optimization related problem (no data) is raised in the following recent article: How America Can Avoid Italy’s Ventilator Crisis. The formulation of this ventilator distribution problem is ...
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  • 171
5 votes

Are there any COVID-19 (coronavirus) related optimization problems with input datasets that we can "crowd solve"?

I'm not defining an optimization problem challenge, but providing a dataset I came across when visiting our world in data website. There is this data repository by Johns Hopkins Center for Systems ...
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  • 5,756
4 votes

Are there any COVID-19 (coronavirus) related optimization problems with input datasets that we can "crowd solve"?

I cannot write regular comments, but the BOINC platform and their Rosetta team are fighting too: https://www.ipd.uw.edu/2020/02/rosettas-role-in-fighting-coronavirus/ and https://boinc.bakerlab.org/...
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  • 41
4 votes

Are there any COVID-19 (coronavirus) related optimization problems with input datasets that we can "crowd solve"?

Data about the COVID-19 cases in Italy is available on Github from the government: https://github.com/pcm-dpc/COVID-19
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3 votes

Are there any COVID-19 (coronavirus) related optimization problems with input datasets that we can "crowd solve"?

My research group at MIT has collated a dataset of 130+ papers on COVID-19 clinical outcomes, where each paper contains aggregate demographic information/comorbidities/lab data/treatment/clinical ...
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1 vote

Dichotomic search for biobjective linear program, max flow problem for hospital patients

The first thing that comes to mind, is, to try to model the process in something like (timed?) colored Petri nets. Then, perhaps do some process mining and network partitioning and shortest path tree ...
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1 vote

Are there any COVID-19 (coronavirus) related optimization problems with input datasets that we can "crowd solve"?

We've recently been working on hospital staff rostering with covid-19 specific constraints, such as these: There's a working demo on this branch on github. It's open source in java.
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