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Multiscale Measures of Population | SAD 2021

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SAD2021 Seminar Series presents a webinar hosted by Ana Petrovic, Postdoc Researcher at the Delft University of Technology

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Multiscale Measures of Population for Understanding Segregation and Spatial Context Effects

Social and economic scientists have a long-standing interest in the effects of the sociospatial context of people on individual outcomes, such as school results, employment, and health. A major challenge in this research is the measurement of sociospatial context. Traditionally, it is measured at a single point in time and at one spatial scale – often a neighbourhood represented by an administrative unit. Recent research acknowledges that spatial context measures should be longitudinal, multidimensional and multiscale. Using unique register data from the Netherlands, we have created multiscale measures of population to advance our understanding of sociospatial inequalities and neighbourhood effects.

Ana Petrovic is a postdoc researcher at the Department of Urbanism, Delft University of Technology in the Netherlands, focussed on sociospatial inequalities, segregation and neighbourhood effects.

SAD 2021 | Spatial Analytics + Data Seminar Series

An international showcase to the best scholarship involving geography and data co-sponsored by Newcastle University, University of Bristol & the Alan Turing Institute.

From segregation and social networks to machine learning and movement, the Spatial Analytics + Data seminar series is a place for dialogue among scholars united by interest in geographic data & spatial analysis, as well as a platform for cutting-edge methods and thinking in spatial social science.

The seminars feature speakers from a wide variety of academic backgrounds & career stages, and are held nearly every week on Tuesday, 1600 GMT throughout the 2020-2021 academic year.

For more information, please contact the series organizers Rachel.Franklin@newcastle.ac.uk & levi.john.wolf@bristol.ac.uk

Spatial Analytics

Working across disciplines to analyse and model spatial data to address complex societal challenges in areas such as health, mobility, education and economic development.

Spatial data are increasingly ubiquitous in terms of availability, as well as application to a range of societal challenges, such as health, mobility, education, or economic development. Newcastle also possesses a strong core of expertise where spatial data, modelling, and analysis are concerned, in disciplines that span all faculties.

Data NuCore

The Data NUCoRE aspires to transform research across the University by driving forward the development and application of new methods for extracting value from data. By fostering collaborations with researchers from across the University, we will nurture the development of new methods for extracting value from data, and encourage novel applications of new methods in a variety of domains.

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