CLICCS - Climate, Climatic Change, and Society
CLICCS will explore climate change with broad expertise. CLICCS will investigate how the climate changes and how society changes with it, thereby feeding back on climate. Understanding these changes, including how societies adapt, will enable us to assess with far greater confidence than before the range of imaginable climate futures. In taking on this challenge, CLICCS is guided by the overarching question: "Which climate futures are possible and which are plausible?"
For more information, please visit the CLICCS website.
B1 - Social Constructions of Climate Futures
Climate change takes place independently of how humans perceive it, believe in it, or talk and write about it. However, the way people communicate and debate different perceptions and beliefs about climate change affects how societies imagine and negotiate climate futures.
The objective of the project is to explore, how climate futures are imagined through communication and how these imaginations travel across different arenas of communication: local, stakeholder, and media arenas. Climate futures are debated across a variety of social and cultural contexts including science, politics, the media, and everyday conversation. While these different spheres of communication are somewhat distinct, they are also connected in ways that shape understandings, imaginations and solutions that are adopted to address climate change. Debates in different world regions are both rooted in local cultural contexts and are also globally intertwined.
Knowing how societies imagine climate futures is an important precondition for the overall CLICCS goal of identifying possible and plausible climate futures, for developing scenarios for mitigation and climate-related sustainable adaptation.
For more information, please visit the B1 project website.
LT @ CLICCS B1
Within the CLICCS B1 project the goal is to improve the handling and processing of large amounts of text related to climate futures. We will develop software to work with and analyze texts on climate futures. This includes tooling for automated information extraction, easier manual annotation as well as the scaling of manual annotations to the entire text collection based on text processing and machine learning.
Natural language processing techniques will be used to assist in various tasks:
Extract actors and their statements about climate from news texts
Find salient themes and topics in local media
Automate text annotation by online learning
Find and rank important entities in a specific field of expertise