Presented By: Mary Campbell, Texas A&M University & Karin Johnson, US Census Bureau We will discuss restricted-access demographic, economic, and business data, what the TXRDC is and how we provide access to restricted data, and how to apply for access restricted federal statistical data. Register for this event View more information [...]
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) [...]
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 [...]
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 [...]
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 [...]