๐Ÿ 
Author: ipbes.bsky.social (did:plc:q5dy2sxcoahc6hjkx4wv2ind)

Record๐Ÿค”

uri:
"at://did:plc:q5dy2sxcoahc6hjkx4wv2ind/app.bsky.feed.post/3l3dgawjt2d23"
cid:
"bafyreidc3f5zqjjdmm7shiuuy7l2mjfrovrt7wsws2nj7tpjgfj5jstdem"
value:
text:
"A new study by Muccione et al. shows how AI, like ChatClimate & ClimateQA, can streamline global environmental assessments (e.g., IPCC & @ipbes.bsky.social) by automating labor-intensive processes. ๐Ÿ–ฅ๏ธ๐Ÿงช๐ŸŒ

Access the paper here: link.springer.com/article/10.1..."
$type:
"app.bsky.feed.post"
embed:
$type:
"app.bsky.embed.external"
external:
thumb:
View blob content
$type:
"blob"
ref:
$link:
"bafkreicq6v4bgzn4iugwgp6x6iwhn64qzev6w75g5kurdowvese6s2knlu"
mimeType:
"image/jpeg"
size:
533274
title:
"Integrating artificial intelligence with expert knowledge in global environmental assessments: opportunities, challenges and the way ahead - Regional Environmental Change"
description:
"With new cycles of global environmental assessments (GEAs) recently starting, including GEO-7 and IPCC AR7, there is increasing need for artificial intelligence (AI) to support in synthesising the rap..."
langs:
  • "en"
facets:
createdAt:
"2024-09-04T13:21:38.252Z"