MATS aims to identify key leverage points for changes in agricultural trade policy that foster the positive and reduce the negative impacts of trade on environmental sustainability and human well-being. Focus is on improving the design, governance and implementation of trade regimes and policies at private sector, national, EU, African and global levels.<br/><br/>The key operational features of MATS are: <br/>a) a set of 15 in-depth country, regional and product case studies to provide a deeper understanding of the conditions for sustainable trade, an integrated multi-model simulation and assessment of linkages with agricultural market, trade and investment dynamics, and an analy-sis of institutional, regulatory and legal frameworks; <br/>b) a multi-stakeholder backcasting approach that builds on recent research related to transformative change and social innovation, and that uses novel participatory methods and platforms to explore transition pathways towards sustainable trade; <br/>c) a clustering with other trade-related research projects to benefit from synergies, and a major role for sector representatives, social movements and policymakers in framing analyses, co-assessing linkages, and deriving policy recommendations. <br/><br/>MATS has the ambition to set a new benchmark in trade policy analysis. <br/><br/>The main project outputs will be: <br/>(1) New quantitative and qualitative insights on the interactions between agricultural markets, trade, investments, policy, environmental sustainability and human well-being. <br/>(2) A set of Discussion Papers and Policy Briefs, incl. recommendations for enhancing the coherence of agricultural and trade policies with the SDGs. <br/>(3) An enhanced civil society–stakeholder–policy dialogue that is supported by an evidence-based communication platform – the Sustainable Trade Hub.<br/>(4) A set of innovative research tools for the analysis of the interactions between agricultural trade, agricultural investments, policy, environmental sustainability and human well-being.