EmpoderaData: Data Literacy Assessment and Sustainable Development Goals Data Gaps

EmpoderaData builds upon the success of the Q-Step paid internship programme from the University of Manchester. The project aims to promote a virtuous cycle of social transformation by fostering data literacy. The purpose of this report is threefold: (1) understand the unmet needs in terms of data literacy skills, (2) recognize to what extent might a data literacy capacity building model can be helpful to develop these skills and last to dig up (3) in the current state regarding data availability for monitoring and evaluation of the SDGs in the three countries.

Topics

AI and Statistics for the SDGs

Author(s)

Partner Organization(s)

Data-Pop Alliance, University of Manchester (Funder)

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