ABSTRACT
This chapter examines the implications for collaboration with government stemming from efforts to improve how governments cope with uncertainty, ambiguity and risk – while also making the best use of available evidence. It sets out a vision for a ‘risk-aware’ analytical framework optimised for effective learning and adaptation in governance based on explicitly framing policy interventions as hypotheses to be tested via implementation. It recommends that a standardised Bayesian expression of the policy-learning cycle be developed to test these hypotheses. This framework would allow civil society to engage more effectively with the policy process by suggesting new intervention hypotheses.
