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ICT Indicators in Focus in Mozambique


Notas 13 JUL 2015
ICT Indicators in Focus in Mozambique

The city of Maputo, Mozambique, hosted the second edition of the ICT Survey Methodology Training Workshop from July 07 to 08, organized by the Regional Center for Studies on the Development of the Information Society (Cetic.br) and the Alliance for Affordable Internet (A4AI), in partnership with the Scientific Research, Innovation, and Information and Communication Technologies Institute (SIITRI) and the National Communications Institute of Mozambique (INCM). Representatives from Mozambican academic, governmental, and private sector organizations participated in the event.

The proposal of the second edition was to work with indicators to measure the use and access to information and communication technologies (ICT) in Mozambique. The event featured a lecture by Marcelino Tayob, senior consultant at the Regional Office of the International Telecommunication Union (ITU) in Addis Ababa (Ethiopia), who presented the institution's vision on collecting key ICT indicators. Winston Oyadomari, senior analyst at Cetic.br, shared the Brazilian experience in collecting indicators.

Furthermore, the group was encouraged to consider relevant ICT indicators for the Mozambican context, with the aim of producing statistics on digital inclusion for public policy purposes. Topics such as ICT in schools, infrastructure sharing, and ICT use by women were highlighted by the group. Finally, Dr. Cassiano Soda Chipembe, Director of Vital and Social Demographic Statistics at the National Statistics Institute of Mozambique, provided an overview of the 2017 demographic census with an emphasis on ICT issues, which stimulated discussion among participants.

Engagement in the Portuguese-speaking African countries (PALOP) is part of Cetic.br's mission, which aims to contribute to the development of inclusive information and knowledge societies. The first workshop held in Mozambique took place in November 2014, focusing on survey methodology for ICT data production.

This content was automatically translated with the support of artificial intelligence.