Research Focus I
Traces, Behaviors and Material
DIGITAL URBANISM describes an interdisciplinary scientific approach that looks at the inception, the development and the expansion of urban modes of living through the lens of computational tools. It addresses questions such as how people rely on cultural technologies to craft social strategies and artefacts? and what social artifacts are more likely adapt to globalization processes? One example consists in the study of moral values and political ideologies’ geographic resilience and polarization through behaviors and discourses.
To provide an understanding of such cultural characteristics, DIGITAL URBANISM deploys a set of interdisciplinary tools and methodologies, and creates theoretical connections between social theory, human geography, political sciences, anthropology and computer sciences.
The framework of this research establishes the importance of considering aspirations, capabilities and affordances in predicting individual and collective behaviors. To this end, it focuses on both individuals, groups and the social and material objects they produce. DIGITAL URBANISM can be apply to many fields of study. Recently, it has produced findings pointing to the central role played by the spatial attributes of behaviors in shaping democratic institutions and national unity; and the importance of moral arguments in vote outcomes.
Research Focus II
NO DATA NO SPACE
Prospective, Politics and Economics
NO DATA NO SPACE sets up an agenda to research the effect of data-oriented practices on human rights, social justice and liberties. As planning and policy-making are increasingly reliant on big data, questions raise: Are we equally represented in data? Are data-oriented practices detrimental to data-unproductive individuals? How to shield and empower data-vulnerable groups?
To engage with these questions, NO DATA NO SPACE seeks to promote the voice of those who are more likely to be at risk of data-mistreatment: communities and individuals that are often already socially marginalized, economically disadvantages and geographically segregated.