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Riccardo Boero, Los Alamos: "Estimating Local Economies for Infrastructure Studies"

Riccardo Boero, Los Alamos: "Estimating Local Economies for Infrastructure Studies"

Author: Tomas Ratkus
Event Date: April 28, 2021
Hosted By: Shweta Singh, ABE
Time: 12:00-1:00
Location: Virtual:
Contact Name: Tomas Ratkus
Contact Email:
Priority: No
School or Program: College of Engineering
College Calendar: Hide
Dr. Riccardo Boero, from the Analytics, Intelligence, and Technology group at Los Alamos National Laboratory will deliver a CRISP lecture on the socio-technical resilience theme.

Estimating local economies for infrastructure studies


Seminar Recording:

Slides: PDF

Seminar Link:

Flyer: PDF


The accurate assessment of the economy served by an infrastructure is a key element of its cost/benefit analysis and an essential contribution to the analysis of its resilience and sustainability. This presentation will focus on the importance of scales and accuracy in estimating local economies and their interdependence with infrastructure and it will discuss the errors introduced by commonly adopted approaches. In particular, I will present a different approach to the estimation of the data that is necessary to model local economies and approaches for quantifying the relationship between the infrastructure and the economy. I will conclude discussing possible applications and open issues.


Bio sketch

Dr. Riccardo Boero belongs to the Analytics, Intelligence, and Technology group at the Los Alamos National Laboratory in New Mexico. His background is in economics and at the intersection of social dynamics, economic development, and resilience and adaptation of human systems. He received his Ph.D. in sociology in social simulation from the University of Surrey (UK) in 2007. He previously received his Ph.D. in economics in experimental and behavioral economics from the University of Pavia (Italy) in 2004. He worked for several years in academic departments and research centers in Europe applying innovative methods from behavioral economics and computational social science to support the design and evaluation of public policies. He joined Los Alamos National Laboratory (LANL) in 2012 where he focuses on the complex nexus between natural resources, extreme events, critical infrastructure, and economic development by extending and integrating modeling approaches and techniques for data analysis. He is the author of book, “Behavioral Computational Social Science” and co-author of “Agent Based Models of the Economy – From Theories to Applications”. He serves in the editorial board of the Journal of Policy & Complex Systems (JPCS) and Journal of Artificial Societies and Social Simulation (JASS).