While computers and instantaneous communications seem to have increased the complications of our daily lives, in the hands of researchers, these tools can move us toward a form of simplicity that furthers understanding of complex dynamics.

Today, there is a new window of opportunity to adopt agent computing as a mainstream analytic tool in economics. Here, I discuss four major aspects in which this technology can improve economic policymaking: causality and detail, scalability and response, unobservability and counterfactuals, and separating design from implementation. In addition, I highlight the crucial role that policy agencies and research funders have in this endeavor by supporting a new generation of computationally-enabled social scientists.

Agent computing is a simulation tool that has been successfully adopted in many fields where policy interventions are critical. Economics, however, has failed in doing so. Today, there are new opportunities for bringing agent computing into economic policy. In this post, I discuss why this technology has not been adopted for economic policy and point out new opportunities to do it.

Nesta confirmed they are to launch a new Centre for Collective Intelligence Design this summer. The centre will seek to harness the potential of Artificial Intelligence (AI) with a particular focus on the combination of human and machine intelligence.