Working Paper
Data, global development, and COVID-19
The COVID-19 pandemic holds at least seven lessons for the relationship between data-driven decision making, the use of artificial intelligence, and development. These are that (1) in a global crisis, the shifting value of data creates policy...
Blog
Artificial intelligence vs. COVID-19 in developing countries: Priorities and trade-offs
by
Wim Naudé
May 2020
The rush to harness Artificial Intelligence (AI) in the fight against the pandemic may be an opportunity for developing countries to accelerate the...
Background Note
Artificial intelligence versus COVID-19 in developing countries
In this note, I will refer to current efforts to harness artificial intelligence (AI) in the push back against COVID-19, note its promises, limitations, potential pitfalls, and identify priorities for developing countries. Artificial Intelligence is...
Journal Article
Data deprivations, data gaps and digital divides
This study draws lessons from the COVID-19 pandemic for the relationship between data-driven decision making and global development. The lessons are that: (i) users should keep in mind the shifting value of data during a crisis, and the pitfalls its...
Presentation
UNU-WIDER at the Dialogue on Tax and SDGs conference
Tue, 14 November 2023
–
Fri, 17 November 2023
Online,
New York,
United States
Past event