24 Mar 2021
17:10 - 17:30
GeoAI for Social Science Applications: When Opposites Attract
Artificial Intelligence (AI) has made a significant impact on scientific discovery, facilitating innovation across a variety of sectors including healthcare, finance, and commerce. However, achieving important scientific breakthroughs necessitates strong collaborations between researchers in AI and the science domains. This presentation will introduce a recent case study of geospatial AI (GeoAI) for mapping and modeling human dynamics at scale. GeoAI is uniquely positioned to support the type of rapid, global-scale knowledge discovery that’s needed to capture the fundamental characteristics of how people inhabit earth. However, understanding the complex connections between humans and the physical, cultural, economic, and social landscapes they inhabit also requires a strong foundational knowledge in the social sciences. The presented case study will be used to frame challenges and opportunities with this type of collaboration, including effective communication and alignment of scientific goals.
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