About

Challenging Radical Uncertainty in Science, Society and the Environment

The EPSRC-funded CRUISSE Network aims to bring academics from disciplines in mathematical, physical, psychological, social and other sciences together to better understand and help practitioners who are making difficult decisions.

We will be looking to identify and categorise real-world challenges into three types:

(1) Challenges that are tractable with traditional statistical and decision theoretic methods.

(2) Challenges that require a broader approach, where models are developed and informative but not necessarily comprehensive, and mature probabilities are not available.

(3) Challenges that are characterised by radical uncertainty and lack of confidence in model fidelity, requiring thoughtful case-by-case reflection, reframing of the question and innovative approaches to “solutions” or strategies.

We aim to develop useful guidelines for cases 2 and 3, including a guide to good practice, which will broaden the awareness of alternative approaches, exploring the way problems are being set up and framed in the light of the type of uncertainties identified.

Practitioners who are aware of the kinds of problems and solutions in each case, and where the problems of interest to them lie, will be a step closer to resilient decision-making, informed by seeing approaches to other hazards facing real-world decision making.

We will be funding short pilot projects in partnership with decision-making communities.

 

Register your interest now to be kept up to date with our news, events, and funding calls.

Site news

Our website is currently under construction. Please contact us at cruisse@ucl.ac.uk for any related queries.

Collaborators

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

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Core Network members are based in the following institutions:

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[more to follow]

We are delighted to be working with the following organisations (although please note that they are not funding or sponsoring CRUISSE activities directly):

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[more to follow]

There is overlap in membership between CRUISSE and our sister Network, Models2Decisions.  We encourage you also to visit their website and take advantage of the many excellent opportunities and events documented there:

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