Name
Abstract | ||
|---|---|---|
Global warming may be one of the greatest threats facing the human civilization. It is now widely shared that it is necessary to reduce quickly and significantly the greenhouse gas emissions to avoid uncontrolled and irreversible evolutions of climate. It has now become urgent to develop a legal instrument addressing the post-2020 period and to achieve a successful outcome in the international climate negotiations. In this paper we propose a new computational tool which provides elements of benchmarking for the climate negotiations. The model and algorithm we propose is designed on rationale elaborated by energy and climate policy experts. We detail how to estimate the parameters of the model and how this benchmarking tool could be used. |
Year | Venue | Field |
|---|---|---|
2015 | AAAI Workshop: Computational Sustainability | Global warming,Climate policy,Computer science,Artificial intelligence,Benchmarking,Environmental economics,Machine learning,Management science,Greenhouse gas,Legal instrument,Negotiation |
DocType | Citations | PageRank |
Conference | 0 | 0.34 |
References | Authors | |
0 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Emmanuel Prados | 1 | 450 | 20.47 |
| Patrick Criqui | 2 | 0 | 0.34 |
| Constantin Ilasca | 3 | 0 | 0.34 |