CYAIDec 19, 2023

GeoAI in Social Science

arXiv:2401.05398v15 citationsh-index: 2
Originality Synthesis-oriented
AI Analysis

It tackles data integration and methodological convergence for social scientists, but is incremental as a review paper.

This paper reviews the use of GeoAI to address data and knowledge gaps in social science research, emphasizing advancements in automation and intelligence.

GeoAI, or geospatial artificial intelligence, is an exciting new area that leverages artificial intelligence (AI), geospatial big data, and massive computing power to solve problems with high automation and intelligence. This paper reviews the progress of AI in social science research, highlighting important advancements in using GeoAI to fill critical data and knowledge gaps. It also discusses the importance of breaking down data silos, accelerating convergence among GeoAI research methods, as well as moving GeoAI beyond geospatial benefits.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

Your Notes