I am a computational social scientist and population geographer. My work examines how places shape human behavior, economic inequality, and population health. I hold appointments as Associate Professor at Arizona State University and as a CASBS Fellow at Stanford University.

Today, the United States and Europe face their most pressing population challenges in living memory. Inequality within and across our cities have reached all-time highs, opportunities for our children to climb the economic ladder have sunk to all-time lows, and we will face major immigration and demographic pressures for decades to come.

I study the long-term causes and consequences of these conditions in an effort to better understand how we got here and where we are going. My main expertise is in constructing large complex datasets, which I build and analyze through statistical, inferential, and learning frameworks. My work is generally concerned with the spatial dimensions of populations and how they change over time.

My findings have been published in leading academic outlets including the Proceedings of the National Academy of Sciences, Scientific Data, Demography, Science Advances, Journal of Economic History and the Annals of the American Association of Geographers. My work has been featured by Ireland's national broadcaster RTE, Business Insider, the LSE's APP blog, and on prime-time radio.

Dylan Connor

Recent Research

Research GIF

My main project for the past five years examines how the long-term regional development of the United States has shaped inequality and social mobility over time and across communities. This work includes a century-long examination of the US geography of intergenerational mobility, large-scale analysis of the phenomena of 'left behind places' in the United States, the changing trajectories of child and place-based poverty in rural America, and, recently, the development of data infrastructure to study spatial wealth inequality.

GEOWEALTH-US: Spatial wealth inequality data for the USA

GEOWEALTH-US

Relying on an ensemble machine-learning-based framework, we have developed the first data infrastructure to study the evolution of spatial wealth dynamics in the United States from 1960 to the present data. We have made the GEOWEALTH-US data publicly available here.

Population health and wellbeing in left behind places

Left behind places

This work examines how the changing social and economic dynamics of places in the United States is affecting child wellbeing, educational and economic attainment, and healthy aging (ADRD risk).

Census linkage and historical population analysis

Census linkage

With my collaborators in economic history and sociology, I have been answering major historical questions through the development and application of data scientific methods to big historical population data sources. Our work includes analyses of US immigration through cross-country record linkage, text-based analysis of immigrants' linguistic assimilation, and algorithmic innovations in record linkage.

Urban spatial data science and climate hazards

Urban spatial data science

Across a range of collaborations, I have worked closely with urban climate researchers and sustainability scholars to improve the data resources for studying urban spatial development for climate-change-related applications. With my colleagues at SPARC, we have written on Digital Twins in Urban Informatics and developed new data products for assessing flooding and wildfire risk.

Get in touch with me at d.c@asu.edu