Global Systems Science develops know-how about global systems. Examples include the internet and the worldwide system of cities.. Global systems combine algorithmic machines with concepts taken from game theory and a sensitivity to narratives. Global Systems Science aims at developing systems, theories, languages and tools for computer-aided policy making. Natural targets include problems with potential global implications relating to humanity’s major current challenges. It also seeks to design open processes for data collection, dialogue and civic engagement so as to assist complex policymaking and to provide greater accountability. In this way Global Systems Science will contribute to enhanced social reflectivity and improved anticipatory capabilities. It will achieve this by supporting design and effective implementation of integrated systemic tools and measures able to represent reality better while coping with accelerated global change. ‘Global’ in this context means much more than just ‘worldwide’, as it refers also to a coherent transformative vision and a perspective which explicitly aims to address the complex nature and coordination of interconnected, multi-scalar, multi-domain, multi-objective interactions of ‘systems of systems’. Global Systems Science research should be open-boundary; its goals cannot be fully anticipated at the present. Being at the moment a mostly goal-searching endeavour, rather than a goal performing one, the Global Systems Science approach requires a community which, while visionary, also shows a great capacity for flexibility, openness and independence.