Three successive hackathons to develop digital environmental tools to understand the effects of COVID-19
A digital sprint, featuring a series of hackathons, led by Cranfield University and the Natural Environment Research Council saw multiple projects awarded prizes for innovation and use of digital technology.
Scientists from across the world participated in teams during three successive hackathons to develop digital environmental tools that can help track, understand and predict the effects of COVID-19 and help lead to a greener post-pandemic future.
Professor Ron Corstanje, professor of Environmental Data Science and Head of the Centre for Environmental and Agricultural Informatics, at Cranfield University, said:
“By using a digital sprint, we were able to produce solutions in a much more agile and creative way than with traditional research applications, with novel solutions being produced in days rather than months or years.
“While not necessarily right for every scenario, I hope that policy makers and research grant organisations will examine the effectiveness of digital sprints as a complementary alternative to traditional grant programmes.
“I believe we have shown the effectiveness of digital sprints and I’m looking forward to seeing how these excellent projects progress into applied solutions to one of the world’s greatest challenges.”
Prizes were awarded in four categories, the winning projects include:
- Air Quality
A digital model was produced that analysed the impact of air quality and social factors, both in Italy and the US, on Covid-19 infection rates. Their model demonstrated that if the Air Quality Index could be reduced by 2%, in the long-term, then infection rates would decrease by between 4-5%.
An app was developed that optimises the number, and seating arrangement, of people who can safely use public transport to encourage its use, as an alternative to commuting by car. The app explores train carriage layout, allowing the user to see the optimal spacing strategy in various scenarios of social distancing and includes the option of using plastic shielding, for increased isolation. Primarily designed to feed into governmental policy making and help train companies make decisions on how to design and optimise carriage use, the app can also be used by passengers as an aid to their optimal seating placement.
- Ecosystem Services
The winning team’s submission considered the relationship between green space and COVID-19 transmission. They hypothesised that areas in the UK with more green space have lower rates of COVID-19 infection because they provide opportunities to spend more time safely outdoors, potentially leading to more compliance with lockdowns and social distancing guidance. The data tentatively suggests that green spaces in an area can help to slow the spread of coronavirus during strict lockdown conditions.
- Visualising Risk
The winning team produced a map-based web application approach delivering localised risk information. The tool app geolocation and searching for a location, showing a map presentation and related time-linked visualisation and case rate graphs. The benefits to the public include providing an easy to understand explanation of the risks they may face, with simple and clear advice depending upon the estimated risk, and a link to official information and advice on COVID-19.
Dr Simon Gardner, head of Digital Environment, Strategic Partnerships Directorate at NERC, said:
“These creative solutions will help track, understand and predict the effects of COVID-19 and are an important step towards a more environmentally sustainable future.
“My congratulations to the Digital Sprint winners who have responded so quickly to this challenge. It’s inspiring to see them develop these innovative tools so rapidly during the pandemic.”
All the submissions to the hackathon can be found on the Digital Environment Github page.
It is hoped that the winning projects can be developed into tools to help both policy makers and the wider public better understand the impact of COVID-19 and mitigate its threat.