Open AccessComputational Sustainability and Artificial Intelligence in the Developing World
Author(s) -
Quinn John,
FriasMartinez Vanessa,
Subramanian Lakshminarayan
Publication year - 2014
Publication title -
ai magazine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.597
H-Index - 79
eISSN - 2371-9621
pISSN - 0738-4602
DOI - 10.1609/aimag.v35i3.2529
Subject(s) - sustainability , world population , natural resource , population , natural (archaeology) , developing country , business , computer science , environmental resource management , geography , economic growth , economics , ecology , sociology , biology , demography , archaeology
The developing regions of the world contain most of the human population and the planet's natural resources, and hence are particularly important to the study of sustainability. Despite some difficult problems in such places, a period of enormous technology‐driven change has created new opportunities to address poor management of resources and improve human well‐being.