This chapter draws upon the preceding arguments to develop a methodological ‘manifesto’ for delivering the transition to ways of doing public policy that are better equipped to cope with uncertainties and risks. It discusses how signal processing methods could be adapted to facilitate learning and adaptation in public policy using structured hypotheses testing techniques and stresses a range of advantages to be exploited if such a transition were to be made.