SEMINAR – Using machine learning to generate neighborhood definitions: The application of hierarchical clustering and commuting zones at the Census Tract level. – Texas Research Data Center

In-Person

Presented By: Michael C. Lotspeich-Yadao, University of Illinois, Urbana-Champaign Variation in the definitions of spatial units substantially impacts the validation of causal relationships between individual and ecological contexts. Acknowledging this significant influence of neighborhood definition on research outcomes, our study seeks to introduce a scalable methodological innovation by synthesizing Tolbert and Killian’s (1987) [...]

WORKSHOP DAY 1- Machine learning fundamentals for socio-demographic researchers. – Texas Research Data Center

In-Person

Presented By: Michael C. Lotspeich-Yadao, University of Illinois, Urbana-Champaign The rapid evolution of computational power, statistical methodologies, and the proliferation of large datasets have spurred a significant rise in the application of machine learning (ML) techniques in various fields. For population researchers, integrating data sources such as social media, mobile phone data, crowd-sourced [...]

Go to Top