A new tool for policymakers: Mapping cultural possibilities in an emerging AI entrepreneurial ecosystem
提出一种结合文化与物质指标的方法，通过分析推特数据绘制新兴人工智能创业生态系统的文化地图，帮助政策制定者识别潜在机会并制定激励与监管政策。
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.