A new tool for policymakers: Mapping cultural possibilities in an emerging AI entrepreneurial ecosystem

Abstract

• We conceptualize emerging entrepreneurial ecosystems (EEEs) using both cultural and material approaches. • We develop a comparative typology of the cultural and material dimension of an EEE and apply it to an emerging regional ecosystem around artificial intelligence (AI). • We render cultural and material maps using topic modeling of Twitter feeds versus well-placed others. • We theorize discursive cultural strategies used by actors in the EEE and potential material effects of these strategies. • We present some adjustments to data collection and assessment that may be of use for policy analysts. • We discuss implications of the cultural approach and cultural mapping of EEEs for policy analytics and for EEE policy. Ecosystems are typically evaluated and understood using standard visible material metrics, such as new products, patents, startups, VC funding, jobs, and successful exits. Yet emerging entrepreneurial ecosystems (EEEs) provide many possibilities for members not signaled by such visible markers. Consequently, policymakers may have a difficult time making informed decisions about incentives and regulations to foster economic growth through ecosystem emergence. To address this methods and measurement issue, we conceptualize emerging systems using both cultural and material approaches to develop a comparative typology and apply it to an emerging regional ecosystem growing around artificial intelligence (AI). We render cultural and material maps using topic modeling of Twitter feeds versus well-placed others, identify strategies in each, and discuss relevant policies for enhancing EEEs to realize various economic opportunities. This method adds to policy analytics and suggests policies for building cultural infrastructure in EEEs.