Sustainability sciences are often said to be fundamentally organized around their ambition to‘foresee and forestall’ (Schweitzer 1952; Grober 2012).

In order to achieve that, they rely on computational techniques – statistical modelling, simulations, multivariate measurements and calculations, which not only shape knowledge-production but also mediate the circulation of findings. Interestingly, this crucial aspect of sustainability research has been largely neglected in the metascientific literature (including history of science), contrary to similar sciences, such as climate science (Edwards 2011; 2013) or ecology (Anker 2011; 2012). Hence, the aim of this work package (WP) is to fill in this gap by scrutinizing sustainability sciences research goals and experimental practices through its quantitative lens. It will utilize methods of integrated history and philosophy of science (Integrated HPS; Shan 2020) – in particular history of measurement and quantification (Kula 1970; Desrosieres 2011, Porter 1986; 1992, Diaz-Bone & Didier 2016) – but supplemented with tools from the digital humanities toolkit, such as simple NLP techniques and quantitative history of concepts.