Register Now for the International FAIR Convergence Symposium
The CODATA–WDS Task Group on Citizen Science for the Sustainable Development Goals will hold a session at the International FAIR Convergence Symposium (see below).
The International FAIR Convergence Symposium is convened by the Committee on Data for Science and Technology (CODATA; WDS Associate Member) and GO FAIR, and will be held on 27 November–4 December. It will provide a forum for advancing international and cross-domain convergence around FAIR. The event will bring together a global data community with an interest in combining data across domains for a host of research issues—including major global challenges, such as those relating to the Sustainable Development Goals or the COVID-19 pandemic. Outcomes will directly link to the CODATA Decadal Programme ‘Data for the Planet: making data work for cross-domain grand challenges’ and to the bottom-up developments of the GO FAIR community towards the Internet of FAIR data and services.
- Register here (code: FAIRCONVERGE1)
We would particularly like to bring special attention to the following parallel session organized by the CODATA–WDS Task Group on Citizen Science for the SDGs.
Advances in science, technology and transportation have significantly impacted Africa and will continue to determine African futures. Managing Africa’s development challenges effectively require stakeholder engagement involving the interactions between science, policy, and society to achieve the Sustainable Development Goals (SDGs) by adopting multiple sources of data from traditional, to contemporary, to big data or citizen science (CS). Reliable, suitable, and accurate data especially from citizen science are also required for tracking and monitoring SDGs in Africa. The CODATA–WDS TG has been involved with understanding citizen science and sustainable development goals in Africa by identifying their common initiatives / themes / issues / dimensions / elements; undertaking a review of available documents, factsheets, reports, concept notes, etc. to understand various protocols/methods/approaches used by CS to collect and generate data across Africa, mapping CS tools and projects to identify their aims/intents/purposes/objectives, studying various CS projects to understand the composition of participants involved in the CS and the level of participation by scientific experts, determining which data collected by the different CS projects are being (a) used by the government officials and perhaps even included in the NSO statistical databases, and (b) used by governments or communities, and examining various outcomes, challenges, and opportunities associated with initiating, implementing and sustaining CS across Africa.