African Digital Compact

The African Digital Compact aims to leverage digital technologies for sustainable development, economic growth, and societal well-being across Africa, emphasizing inclusivity, collaboration, and innovation in the digital landscape.

(Generated with the help of GPT-4)

Quick Facts
Report location: source PDF
Language: English
Publisher: African Union Commission
Authors: Dr. Kamugisha Kazaura, H.e. Dr. Amani Abou-zeid, Houda Chihi, Jean-robert Hountomey, Joan Obiero, John Ubena, Kaleem Ahmed Usmani, Margaret Nyambura Ndung'u, Michael Ilishebo, Mihret Woodmatas, Moses Bayingana, Mr. Adil Sulieman, Mr. Waleed Hamdi, Mtendere Gondwe, Ngoulaye Janvier Phd, Towela Nyirenda - Jere, H.e. Moussa Faki Mahamat
Time horizon: 2030
Geographic focus: Africa

Methods

The research method involved extensive consultations with stakeholders across Africa, including governments, private sector entities, civil society, and academia, to gather diverse perspectives and priorities for the digital transformation agenda.

(Generated with the help of GPT-4)

Key Insights

The African Digital Compact (ADC) outlines a strategic framework for Africa's digital transformation, focusing on leveraging digital technologies to foster sustainable development, economic growth, and societal well-being. It emphasizes the importance of inclusivity, aiming to bridge digital divides and enhance access to digital services for all Africans. The ADC aligns with the African Union's Agenda 2063 and the Digital Transformation Strategy for Africa (2020-2030), advocating for robust digital infrastructure, enhanced digital literacy, and the promotion of digital public goods. The Compact also highlights the need for strong cybersecurity measures and data protection to ensure a safe digital environment. By fostering multi-stakeholder cooperation, the ADC seeks to position Africa as a key player in the global digital economy, ensuring that digital transformation benefits all segments of society, particularly vulnerable and underserved communities.

(Generated with the help of GPT-4)

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Last modified: 2024/09/26 16:09 by davidpjonker