The Impact of Coronavirus on Machine Learning Conferences

The year 2020 brought a lot of changes in all our lives due to the Coronavirus pandemic, as all our routines got disrupted. From businesses to education to transportation, everything came to a halt. That was the reason that machine learning conference like ICML is happening virtually this year. This would further help curb unwanted travel reducing the chances for participants to acquire the virus. Running a virtual conference does have its challenges but with a little preparedness, one can be ready to tackle all the challenges. It can also be a great learning experience for everyone since it is happening virtually for the first time.

Here are some of the Covid-19 observations that impact machine learning conferences:

• This virus is far more deadly than MERS or SARS and that is what makes it more unpredictable since it gets unnoticed among so many people. Some experience mild symptoms that often lead to late diagnosis.
• The virus can be prevented from further spreading by imposing travel restrictions. As soon as the countries initiated lockdown, the cases started declining.
• By careful tracing and isolation at a smaller scale, the virus can further be controlled and contained

There remains a bit of uncertainty about the total number of cases and how far it has reached the ground level but the safety measures can be exercised to ensure we don’t contribute to further spread of the virus.

Impact on the Conferences

The current scenario has led to quite an uncertainty regarding machine learning conferences because their success depends on all the things going right. We can predict three different future scenarios keeping in mind the existing situation.

Good case: The virus is being controlled systematically by following the right measures which could lead to a decline in overall cases. Then the travel restrictions can be lifted affecting only 10% of the attendance at the conference.

Poor case: Multiple outbreaks lead to an uncontrollable situation that makes it impossible to travel or to visit crowded places. With travel restrictions in place, attendance can be as low as 50%.

Bad case: It would be the same as the above mentioned scenario but with stricter travel restrictions, so the conference might not happen at all.

Though the first outcome can work in favor of the machine learning conference, it would still require following certain measures to make it a success. One of the obvious reasons to ensure the success of the conferences is to reduce its dependency on travel. To do this, we need to think of ways to organize a conference that fulfills all its purposes without relying on travel too much.

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