AI in Planning: Geospatial Analysis and Algorithms

Artificial Intelligence (AI), algorithms, and geospatial analytics are becoming part of daily planning work, but they are adopted at a slower pace in small towns and communities with historically disadvantaged populations. This presentation explores solutions for using these seemingly complex technologies in those communities.

Successful technologies are developed and introduced to the world with the primary goal of adoption by corporations that recognize their potential benefits. Corporate adoption drives technological evolution and the path of future applications. Understandably, these technologies are adopted in a slower pace in the public sector, especially in small towns and communities with more economically disadvantaged populations.
This presentation explores data from school districts where achieving academic success is challenging. The study’s analytic approach exposes the immense opportunity not only for public-sector applications of these technologies, but also for integrating school districts into community planning.

Disadvantaged communities seldom use AI technologies to improve their performance, often because they lack the knowledge and capability to do so. This presentation explores how to achieve tangible, long-term outcomes while embracing purposeful planning to improve historically disadvantaged communities.

NPC Peer Reviewers assigned this presentation a learning level of Intermediate. For more on learning-level descriptions, visit our General Information Page.