Smart Linker for harmonizing trade assumptions between countries' sustainable pathways on the FABLE's Scenathon

Javalera Rincón, V. ORCID: https://orcid.org/0000-0001-8743-9777, Orduña-Cabrera, F., Obersteiner, M. ORCID: https://orcid.org/0000-0001-6981-2769, & Rios, A. (2022). Smart Linker for harmonizing trade assumptions between countries' sustainable pathways on the FABLE's Scenathon. IIASA Report. IIASA, Laxenburg, Austria

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Abstract

In the FABLE scenathons, trade is the element that connects all countries and Rest Of the World (ROW) models. By maintaining consistent national trade assumptions, we can secure that national pathways and global targets are consistent at the global level. This report describes the advances on a method based on Reinforcement Learning (RL) and a set of tools to support collective decision-making during the Scenathon process. The aim is to collectively address four global goals while respecting national priorities and pathways and keeping global consistency. The developed tools are The Smart Linker Tool (SLT), the Scenathon Lab distributed platform and the visualization tool to assess the training and optimization processes of the SLT. within this framework we developed a case of study based on the beef and soybean trade behaviour of the FABLE Scenathon 2019, integrating the FABLE calculators of Argentina, Australia, Brazil, China and the US. The architecture and first results are described.

Item Type: Monograph (IIASA Report)
Research Programs: Advancing Systems Analysis (ASA)
Advancing Systems Analysis (ASA) > Exploratory Modeling of Human-natural Systems (EM)
Advancing Systems Analysis (ASA) > Novel Data Ecosystems for Sustainability (NODES)
Depositing User: Luke Kirwan
Date Deposited: 17 Jan 2022 08:16
Last Modified: 17 Jan 2022 08:20
URI: https://pure.iiasa.ac.at/17753

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