Steven Lord

Researcher, European Food System Futures, Environmental Change Institute (ECI), University of Oxford


Trained in the field of noncommutative geometry in pure mathematics, and co-author of the first monograph on the topic of singular traces, Steven decided in 2008 to start use the power of mathematics for good. Unlikely in his lifetime to see the affect singular traces may have on increasing the wellbeing of the human species, he branched into applied mathematical and statistical methods useful in complex decision making; learning risk analysis, robust decision making, stochastic processes, extreme value theory, maximal entropy and probability theory, scenario methodologies, multi-criteria optimisation, and machine learning. From 2010 to 2015 he was responsible for leading quantitative research and applications in the multi-disciplinary Strategic Security Risk Analysis group in the Australian Department of Defence. The group provided advice, modelling and analysis on risk management, risk assessment, future scenarios, and resilience to senior decision-makers in Australian Commonwealth Government within the Department of Prime Minister and Cabinet and the Attorney-General’s Department. In 2013 Steven developed the OLDFAR future scenarios tool for the School of Earth and Environmental Sciences at the University of Adelaide and the Environmental Change Institute (ECI) at the University of Oxford. The method and GUI software tool was used subsequently by the ECI-CCAFS exploratory futures regional scenario team in workshops worldwide.

Current activities

The research position works in the EU FP7 program TRANSMANGO, concerning European food and nutrition security futures and policy transition pathways, The TRANSMANGO project includes development of multi-factor multi-sector scenarios and advancing system modelling and uncertainty representation of European food and nutrition security vulnerabilities.

Steven is also involved in development and interdisciplinary community building in complex and multi-scale modelling of food systems. Food systems are highly complex, involving individual and social behaviours, environmental drivers, micro and macro scale economics, heavy water and energy use, manufacturing and employment sectors, public safety and health, inequality and demographics, etc.

There are currently no items in this folder.

Document Actions