Author/s: Lucile Ottolini, Jérôme Tricomi, Thomas Landrain, Marc SantoliniPresenters: Lucile Ottolini, Thomas Landrain, Marc Santolini, Jérôme Tricomi
Part I - Lucile Ottolini and Jérôme Tricomi
A lockdown to (re)discover the double wall of non-formal education.
Non-formal education promote principles of inclusive education and making and doing pedadogical approaches. The international movement of the Petits Débrouillards, created at the end of the 1980s, has been part of this adventure for more than thirty years, believing that science and scientific controversies can help to understand the world and take an active part to social changes. But as the lockdown forced our movement to turn from activities based on practice and sensorial experience to all-online and screened distanced activities, we rediscovered that the benefitiates of thoses principles and approaches are not only the disheritated kids and youth that come to see us and to make our experiences but as well us and all our very well-educated activity organizers. Through this experience we faced to the impact of our social movement on our own members and to a new place taken by volunteers.
Part II - Marc Santolini and Thomas Landrain
The OpenCovid19 Initiative: lessons for citizen science and beyond
Launched during the summer 2019, Just One Giant Lab (JOGL.io) is the first research and innovation laboratory operating as a distributed, open and massive mobilisation online platform for collaborative task solving. At JOGL, we believe in the power of open-source community-led approaches to address complex global challenges. On the 1st of March 2020, JOGL launched the OpenCovid19 initiative, a program that develops open-source and low-cost tools and methodologies that are safe and easy to use in response to the COVID-19 pandemic. Powered by a global community of 4000+ volunteers and experts, the OpenCovid19 program breaks down barriers and empowers individuals and communities to take action together to solve the coronavirus pandemic. The initiative resulted in the creation of 100+ projects, ranging from mask designs to diagnostic tests and ventilator prototypes, or cough-classification AI apps. An open peer-review system was implemented to attribute micro-grants to help push projects even further. In this talk, we will discuss lessons learned from the initiative and offer perspectives on how data-driven approaches can help monitor and engineer encounters in digital open science setups, enhancing the collective intelligence of large-scale communities.