TY - JOUR
T1 - Computational sustainability and artificial intelligence in the developing world
AU - Quinn, John
AU - Frias-Martinez, Vanessa
AU - Subramanian, Lakshminarayan
PY - 2014/9/1
Y1 - 2014/9/1
N2 - 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 technologydriven change has created new opportunities to address poor management of resources and improve human well-being.
AB - 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 technologydriven change has created new opportunities to address poor management of resources and improve human well-being.
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U2 - 10.1609/aimag.v35i3.2529
DO - 10.1609/aimag.v35i3.2529
M3 - Article
AN - SCOPUS:84907607119
SN - 0738-4602
VL - 35
SP - 36
EP - 47
JO - AI Magazine
JF - AI Magazine
IS - 3
ER -