Last Friday we concluded the Hack4Resilience 1.0, a co-creation sprint meant to build Big Data applications for the COVID-19 Observatory which will deliver actionable intelligence for data-driven governance. The solutions put forth in the Observatory will help public officials deal with the current COVID-19 pandemic and better prepare for a resilient society.
The event was a great success with over 60 participants, challenge owners and guests held completely online over 3 main countries: Thailand, Indonesia, India. The teams had been working on their solutions for over 1 week, and receiving workshops and training on ideation, prototyping and technical concepts. On the Final Event day, teams presented their solutions to 3 jury panels. There was 1 winner per the 3 participating countries. Winners received 1000Euro cash prizes from Thailand’s Office of National Higher Education Science Research and Innovation Policy Council (NXPO), a research unit, and a policy think tank from Thailand’s Ministry of Higher Education Science Research and Innovation.
For Thailand the Team Futurist Five presented a solution meant to bridge the gap between students and the new way of education, home based schooling. They gathered data on the number of students, accessibility to the internet, accessibility to electronic devices for home schooling. Part of their solution involves collecting second hand devices and match them with children most in need according to their data.
For Indonesia, the ATMOS FC-19 presented a solution to mitigate supply-demand imbalance in agri-food systems in close connection with weather data. WAKTU TANI is a dashboard system via the web that helps governments and farmers in terms of crop distribution and availability. The government can know the distribution of deficits and surplus each region, while farmers can know the crop calendar for their suggested right time to start plants.
For India, the Hotspotters team, created a prototype to identify COVID-19 disease hotspots, disease spread and rate of transmission. They created a dashboard with 4 “heatmaps” of the city’s hotspots. The “Live” heatmap predicts COVID hotspots calculated by the model from the latest available data. “Where to test” heatmap helps prioritize testing based on the new hotspots and available resources.“Current lock protocol” is a display where officials can input their preferred protocol for lockdown across city zones. “+7 days” shows the computer model’s estimation of cases in the city 7 days later, if the currently selected lockdown protocol is applied.
The conversation is not over as the winners will then be pitching their solutions to the COVID-19 Big Data Observatory Consortium Partners where they will evaluate the steps towards making the solutions widely available through the observatory. Further the hacking doesn’t stop either as there will be a second iteration of the sprint, Hack4Resilience 2.0, In the upcoming months. Stay tuned and visit our site to learn more:https://covid-19observatory.com/hack4resilience.