Research concept of BRIGHT-Futures

Phase I - Identification of bright spots

Different dimensions of sustainability—such as agricultural yield and biodiversity—often entail trade-offs, where gains in one area may come at the expense of another. Our project aims to quantify these and other sustainability dimensions and examine their interrelationships across multiple spatial scales (e.g., agricultural regions, individual farms). In addition to identifying general trends (i.e., standard cases), we specifically focus on detecting "bright spots" (exceptionally positive outcomes) and "dark spots" (particularly negative outcomes). This analysis draws on both secondary data and empirical research conducted in the study regions.

Phase II – Understanding Mechanisms

Building on the identification of bright spots in Phase I, Phase II investigates the underlying mechanisms and processes that contribute to their emergence. These mechanisms may include agronomic, social, and ecological factors, among others. Their specific composition and relative importance are expected to vary across spatial scales (e.g., region, farm) and socio-geographical contexts, including Mexico, India, Kenya, and Germany.

Phase III – Leverage Points

In Phase III, the mechanisms and processes underlying bright spots—identified in different study regions during Phase II—are systematically compared using quantitative methods. Socio-ecological modelling will be employed to distill generalizable principles that can serve as effective leverage points for promoting sustainability. These model-based insights will inform the development of targeted strategies aimed at transforming dark spots into bright spots, thereby resolving trade-offs between conflicting sustainability goals. Knowledge transfer will be facilitated through transdisciplinary innovation platforms, extending the application of successful approaches to regions beyond those included in Phases I and II.