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New needs and training modalities for the sustainable transfer of know-how on food and agriculture statistics in the COVID era1
2021
Statistical Journal of the IAOS
The Sustainable Development Goals (SDGs) Global Indicator Framework (GIF) has multiplied training needs due to the large number of new indicators to be monitored by countries, whereas COVID-19-related social distancing restrictions have provided an unexpected springboard for the proliferation of cutting-edge virtual training tools and modalities. This has exposed a panoply of new data-related skills needed by contemporary statisticians, and therefore the types of training that could be most
doi:10.3233/sji-210853
fatcat:mparf6wscjaefgaffu5ysfoqou