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Promoting Cybersecurity through Stronger Collaboration in Africa
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Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/9781119231899.ch6openalex-extracted
Public–Private Cybersecurity Partnerships
inferredcites →https://doi.org/10.1007/978-3-319-33513-1_9openalex-extracted
Conclusion: Logics of Appropriate Governance in Internet Governance and Global Governance
inferredcites →https://doi.org/10.1016/j.ijcip.2009.08.006openalex-extracted
Public–Private Partnerships are no silver bullet: An expanded governance model for Critical Infrastructure Protection
inferredcites →https://doi.org/10.1080/23738871.2016.1158303openalex-extracted
Multi-stakeholderism in Internet governance: putting a fiction into practice
inferredcites →https://doi.org/10.1080/23738871.2016.1243140openalex-extracted
U.K. cybersecurity strategy and active cyber defence – issues and risks
inferredcites →https://doi.org/10.1109/tsmca.2010.2048028openalex-extracted
Cybersecurity for Critical Infrastructures: Attack and Defense Modeling
inferredcites →https://doi.org/10.1111/1468-2346.12504openalex-extracted
Public-private partnerships in national cyber-security strategies
inferredcites →https://doi.org/10.15255/cabeq.2013.1904openalex-extracted
http://pierre.fkit.hr/hdki/cabeq/pdf/28_3_2014/Cabeq%202014-03-10.pdf
inferredcites →https://doi.org/10.21236/ad1012791openalex-extracted
Cybersecurity for Critical Infrastructure
inferredcites →https://doi.org/10.2139/ssrn.2628475openalex-extracted
An Unsatisfactory State of the Law: The Limited Options for a Corporation Dealing with Cyber Hostilities by State Actors
inferredcites →https://doi.org/10.37514/rnt-j.1996.3.6.21openalex-extracted
Declaration of Independence for Cyberspace
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1787/0318b078-enopenalex-snapshot
Financial flows to Africa: Real change in per capita levels (2010 = 100)
inferred← citeshttps://doi.org/10.1787/079a6e4d-enopenalex-snapshot
Employment profile of North Africa, 2000-20
inferred← citeshttps://doi.org/10.1787/1540fa5f-enopenalex-snapshot
The Programme for Infrastructure Development in Africa flagship projects for the information and communications technology sector, by status
inferred← citeshttps://doi.org/10.1787/1dad67f6-enopenalex-snapshot
Projected youth education profiles
inferred← citeshttps://doi.org/10.1787/23e603cc-enopenalex-snapshot
Percentage of the population with a bank account, by account type (over 15 years old), 2017
inferred← citeshttps://doi.org/10.1787/2d03ad9d-enopenalex-snapshot
Main limitations to Internet use in selected African countries, 2017
inferred← citeshttps://doi.org/10.1787/393dc0fb-enopenalex-snapshot
Proportion of businesses with a website in North Africa
inferred← citeshttps://doi.org/10.1787/4019a7c2-enopenalex-snapshot
Size of self-employment in Africa’s labour markets in 2000, 2020, and projections according to three scenarios by 2040
inferred← citeshttps://doi.org/10.1787/45c01e4f-enopenalex-snapshot
Financial inclusion in selected Southern African countries, 2017 (as a percentage of the population aged 15 and over)
inferred← citeshttps://doi.org/10.1787/474f5a81-enopenalex-snapshot
Share of cities within ten kilometres of the terrestrial fibre-optic network in Africa’s regions, 2019
inferred← citeshttps://doi.org/10.1787/475781dd-enopenalex-snapshot
Digital transformation for youth employment and Agenda 2063 in Southern Africa
inferred← citeshttps://doi.org/10.1787/4cb683d6-enopenalex-snapshot
Percentage of the population covered by the 3G and 4G networks in Africa, Asia, and Latin America and the Caribbean (LAC), 2004-20
inferred← citeshttps://doi.org/10.1787/692005d1-enopenalex-snapshot
Formal manufacturing and service firms in Africa that use the Internet
inferred← citeshttps://doi.org/10.1787/6f7fe2f9-enopenalex-snapshot
Mobile phone and Internet usage among Africa’s youth, aged 15-29, by geographical situation, gender, level of education and employment status, 2015-18
inferred← citeshttps://doi.org/10.1787/7f6be238-enopenalex-snapshot
Indicators of growth, employment and inequality
inferred← citeshttps://doi.org/10.1787/811a62b7-enopenalex-snapshot
Maximum price of 1GB of data to be affordable to 75% and 95% of the population in selected African countries, 2018 (as a percentage of current prices)
inferred← citeshttps://doi.org/10.1787/902b8eff-enopenalex-snapshot
Annual real GDP growth per capita, 1990-2025
inferred← citeshttps://doi.org/10.1787/9d44f3f1-enopenalex-snapshot
Annual population growth rate 1990-2025
inferred← citeshttps://doi.org/10.1787/b7785159-enopenalex-snapshot
Priority areas for regional and continental co-operation: Results from the AUC/OECD 2020 Expert Survey on Digitalisation in Africa
inferred← citeshttps://doi.org/10.1787/ba22ca04-enopenalex-snapshot
Business-to-Consumer (B2C) Index, 2019 (graph)
inferred← citeshttps://doi.org/10.1787/bb1d4e48-enopenalex-snapshot
Digital transformation for youth employment and Agenda 2063 in West Africa
inferred← citeshttps://doi.org/10.1787/bb7b439e-enopenalex-snapshot
Unemployment rate and mobile phone penetration rate
inferred← citeshttps://doi.org/10.1787/c4055c65-enopenalex-snapshot
Mobile phone and Internet usage among Africa’s young women, aged 15-29, by employment status
inferred← citeshttps://doi.org/10.1787/c804c717-enopenalex-snapshot
Affordability of one gigabyte of mobile data monthly in Southern African countries, 2018
inferred← citeshttps://doi.org/10.1787/c98d1327-enopenalex-snapshot
Fiscal measures undertaken by 15 African countries and 15 non-African countries in response to the COVID-19 pandemic in 2020 compared to government revenues and spending in 2019, as a percentage of gross domestic product (GDP)
inferred← citeshttps://doi.org/10.1787/df4155a8-enopenalex-snapshot
Distribution of employment by occupational status in Southern Africa, 2020 (as a percentage of the population)
inferred← citeshttps://doi.org/10.1787/e4e47eb8-enopenalex-snapshot
Mobile phone and Internet usage among Africa’s youth, aged 15-29, by geographical situation, gender, level of education and employment status, 2015-18 (graph)
inferred← citeshttps://doi.org/10.1787/efe61f31-enopenalex-snapshot
Global foreign direct investment inflows by world region, 1990-2019 (USD billion)
inferred← citeshttps://doi.org/10.1787/f2e7ffb6-enopenalex-snapshot
Digital transformation for youth employment and Agenda 2063 in Central Africa
inferred← citeshttps://doi.org/10.1787/f79071c7-enopenalex-snapshot
Internet use by socioeconomic group in Southern African Customs Union countries, 2018
inferred← citeshttps://doi.org/10.23919/ist-africa67297.2025.11060477openalex-snapshot
The Effects of Stakeholder Perceptions on the Content of the Computer Crime and Cybersecurity Bill: A Case of Lesotho
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