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Ceres2030 – using data efficiently
A new initiative named Ceres2030 was launched at the annual global meeting of the Committee on World Food Security at United Nations Food and Agriculture Organization (FAO) headquarters in Rome, Italy, on 16th October 2018 by Cornell University/USA, the International Institute of Sustainable Development (IISD) and the International Food Policy Research Institute (IFPRI).
It is supported by a three-year, USD 3.1 million grant from the Bill & Melinda Gates Foundation and the German Federal Ministry for Economic Cooperation and Development (BMZ).
Ceres 2030 is dedicated to the question how we can use the data we have now to support access to a nutritious diet for the more than 820 million people who face food insecurity, while staying within our planet’s environmental limits, and what the costs of these solutions are.
The researchers aim to map the fullest possible range of knowledge in agricultural research, establish protocols for systematic review, create a risk-of-bias tool, and then drill down to find the most powerful interventions that can help end hunger. These tools shall be freely available to researchers anywhere.
Therefore, the initiative combines state-of-the-art modelling with expert evidence to strengthen the global agricultural development community as it makes priority investments in line with achieving Sustainable Development Goal of Zero Hunger (SDG 2) by 2030.
So far, Ceres2030 has used natural language processing to aggregate more than 25,000 individual articles from 3,500 journals and major agency databases (e.g. FAO, CGIAR, World Bank) to see how their content addresses critical issues in agriculture.
Visit the Ceres2030 website