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Social topography: learning spatial inequality through 3d regional model

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dc.contributor.authorGutman, Meirav Aharon
dc.date.accessioned2023-11-14T11:40:58Z
dc.date.available2023-11-14T11:40:58Z
dc.date.issued2017en
dc.descriptionBook of proceedings: Annual AESOP Congress, Spaces of Dialog for Places of Dignity, Lisbon, 11-14th July, 2017en
dc.description.abstractThe aim of this research is to develop a digital sand table to facilitate dynamic decision making capable of eradicating spatial inequality. The proposal’s innovation lies in the interface it creates between a theory of spatial inequality and a unique laboratory that facilitates 3-D visualization of the mapping of social disparities. This interface, and the unique platform for the formulation of socio-spatial policy it yields, stands to constitute a turning point in the manner in which decision makers ‘see’ (literally and figuratively) space and subsequently make policy. This proposal’s point of departure is the premise that the world ‘out there’ contains inequality that continues to expand and intensify on different scales in different parts of the world. In recent years, scholars have reported an increase in inequality, as observed, for example, on various scales in the United States and different countries in the European Union (OECD, 2016: 74; Hopkin & Lynch, 2016). Inequality is also intensifying in Israel1 and its southern periphery2.
dc.description.versionPublished versionen
dc.identifier.isbn978-989-99801-3-6 (E-Book)en
dc.identifier.pageNumber2686-2692
dc.identifier.urihttps://hdl.handle.net/20.500.14235/964
dc.language.isoEnglishen
dc.publisherAESOPen
dc.rightsopenAccessen
dc.rights.licenseAll rights reserveden
dc.sourceBook of proceedings : Spaces of Dialog for Places of Dignity, Lisbon 11-14th July 2017en
dc.titleSocial topography: learning spatial inequality through 3d regional model
dc.typeconferenceObjecten
dc.type.versionpublishedVersionen
dspace.entity.typePublication
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2017 Spaces of Dialog for Places of Dignity, Lisbon 11-14th July