Plant Biotechnology & Agriculture

The complexity of the global agricultural system is a tremendous barrier to the understanding of possible consequences and impacts of policies and business decisions on society at both global and national levels. Aiming at feeding 9 billion people by 2050, agriculture has a fundamental role for human development in providing livelihood to 40% of global population as both food

and energy supplier, and representing a key leverage for most SDGs’ achievement. At the same time agriculture is both a cause of, and the most vulnerable economic sector to, climate change. It consumes above 70% of freshwater withdrawal globally, and is heavily dependent on mineral resources at the cusp of global production. Continuous and cumulative environmental degradation puts agriculture at risk of dangerous ecosystem tipping points including sea level rise, change in nitrogen and phosphorus cycles, and

most frequent and disruptive climatic shocks (i.e. extreme weather events). Aware of the long term risk to human condition on the planet, international agreements and measures will be gradually taken at both international and national levels to coercively bring the world within the ecosystem’s limits in the next decades. Within a complex network of trading countries, such policies might result in economic shocks and cascade effects among countries with implication on their economic performance. A world system computer

model is being developed relying on system dynamics modeling, networks, econometric analysis and public available datasets to model food and energy systems and trade among macro-regions and allows for testing of both climate and policy shocks to assess their possible outcomes and risks in the medium to long term future. The final outcome is to provide policy makers with a data

transparent simulation tool to support clarity and resilience of decision making outcomes while leading on a global scale transition towards sustainability.