| dc.contributor | Science Division | en_US |
| dc.contributor.author | United Nations Environment Programme | en_US |
| dc.contributor.other | Caldas, Alexandre | en_US |
| dc.coverage.spatial | Global | en_US |
| dc.date.accessioned | 2021-04-26T16:45:42Z | |
| dc.date.available | 2021-04-26T16:45:42Z | |
| dc.date.issued | 2022-07 | |
| dc.identifier.uri | https://wedocs.unep.org/20.500.11822/35886 | |
| dc.description | The Big Data Initiative builds Environmental Strategic Foresight and insights for policy through analysis of data, mapping trends,
creating scenarios and identifying emerging issues on a permanent basis, at the frontier of environmental knowledge. Foresight
provides a systemic process, to highlight a hotspot of environmental change, to feature an emerging science topic or provide early
warning for identifying the future environmental trends. The Big Data revolution for achieving the Sustainable Development Goals
can only be realized by Big Science. | en_US |
| dc.format | Text | en_US |
| dc.language | English | en_US |
| dc.rights | Public | en_US |
| dc.subject | LIBRARY COLLECTIONS | en_US |
| dc.subject | BIG DATA | en_US |
| dc.subject | ENVIRONMENTAL MONITORING | en_US |
| dc.subject | EARLY WARNING SYSTEMS | en_US |
| dc.subject | WORLD ENVIRONMENT SITUATION ROOM | en_US |
| dc.subject | ENVIRONMENTAL INDICATORS | en_US |
| dc.subject | OCEANS | en_US |
| dc.subject | AIR QUALITY | en_US |
| dc.subject | WATER QUALITY | en_US |
| dc.title | Big Data Services: Data and Analytics, Early Warning and
Science Foresight for Action - Transforming the Lives of People, Places and Planet | en_US |
| wd.identifier.sdg | SDG 10 - Reduced Inequalities | en_US |
| wd.topics | Science-Policy | en_US |
| wd.identifier.pagesnumber | 25 pages | en_US |
