Koch, Marta;
United Nations Climate Technology Centre & Network (CTCN);
(2025)
Maximising Emerging Trends in Locally-Led AI Solutions for Climate Action.
[Digital scholarly resource].
https://sdg.iisd.org/commentary/guest-articles/max...
![[thumbnail of Maximizing Emerging Trends in Locally Led AI Solutions for Climate Action SDG Knowledge Hub.pdf]](https://discovery.ucl.ac.uk/style/images/fileicons/text.png) |
Text
Maximizing Emerging Trends in Locally Led AI Solutions for Climate Action SDG Knowledge Hub.pdf - Accepted Version Access restricted to UCL open access staff Download (2MB) |
| Type: | Digital scholarly resource |
|---|---|
| Title: | Maximising Emerging Trends in Locally-Led AI Solutions for Climate Action |
| Publisher version: | https://sdg.iisd.org/commentary/guest-articles/max... |
| Language: | English |
| Additional information: | This version is the version of record. For information on re-use, please refer to the publisher’s terms and conditions. |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > UCL GOS Institute of Child Health UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > UCL GOS Institute of Child Health > Population, Policy and Practice Dept |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10211470 |
Downloads since deposit
0Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months
Archive Staff Only
 |
View Item |
