Challenging Radical Uncertainty in Science, Society and the Environment


CRUISSE is one of two networks funded by RCUK Decision-Making Under Uncertainty (DMUU). The goal of the CRUISSE network is to develop and build widespread linkages between disciplines related to decision-making under uncertainty to lay the groundwork to form a potential RCUK Decision-Making Under Uncertainty (DMUU) Research and Evidence Hub (the 'Hub') whose function will be to co-ordinate expertise and to offer and further develop tools to facilitate resilient and effective decision-making across a full range of real world uncertainty and practice contexts. The value of such a hub will be tested through feasibility projects and interaction with practitioners in government, industry and civil society. It aims to meet the need to collate and publish relevant materials and manuals via a website and have the capacity to respond to immediate, intermediate and long term consultation, research and training requirements. CRUISSE will begin by establishing a highly multidisciplinary network of academics and professionals who will work upwards from real world practice to develop and test the feasibility of two DMUU dynamically evolving tool sets: a Triage procedure and a Code of Practice.

Funded by
RCUK 'Decision-making Under Uncertainty' Network call

Principal Investigator
Professor David Tuckett (UCL)

Professor Leonard Smith (LSE)

Grant reference

Grant value (to LSE)

Project duration
January 2017 - December 2018


Upcoming events:
2nd CRUISSE Network Conference, 7 & 8 November 2018

Past events:
1st CRUISSE Network Conference, 21 & 22 September 2017 - See Programme


Related Network: M2D - Models to Decisions


The CRUISSE Network is co-funded by three UK research councils: ESRC, NERC and EPSRC

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EPSRC sponsorfullres







RT @lynyrdsmyth: Now @david_tuckett begins the end of #CRUISSE2018 How can we keep what we learned fresh and useful? What is next for ap…

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RT @wendyg: This week's net.wars, "Escape from model land" visits #cruisse2018 and experiences radical uncertainty:…

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