From modelling to the model. A conversation with Laia Grau Balagueró

Authors

DOI:

https://doi.org/10.26754/ojs_zarch/zarch.2022197413

Keywords:

Urban planning, Public policy, Knowledge transfer, Urban data

Abstract

To close this thematic exploration of the use of data and methodologies that help us to describe, discover, predict, or simulate our urban environment, we interviewed Laia Grau Balagueró. Her vision, as urban planning manager of the city of Barcelona and with a broad experience linked to public administration and freelance professional activity as an architect, allows us to recognise the challenges and opportunities that the discipline of urban planning has regarding the transfer of this knowledge to the public policies that will define the urban model of our cities.

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Author Biographies

  • Pablo Martínez-Díez, , 300.000 Km/s

    Pablo Martínez Díez is an architect graduated from the School of Architecture of Barcelona. At present, he is the co-founder of 300.000 Km/s. As co-founder of 300.000 Km/s, he has an strong background in using new forms of information (open, social and big data) to address contemporary urban and territorial challenges through diagnosis, reports, planning and participation. He is an expert in data processes from gathering to publication. He is a pioneer in Spain in the use of open data for urban policies. He has lectured at prestigious academic institutions across Europe (TU Braunschweig, Welsh School of Architecture, Institute of Advanced Architecture, UPC Foundation, among others), as well as participating regularly in debates and conferences of significance in the sector.

  • Mar Santamaría-Varas, , 300.000 Km/s

    Mar Santamaria-Varas is an architect graduated from the School of Architecture of Barcelona. At present, she is the co-founder of 300.000 Km/s. Her professional activity has been related in the last 15 years to digital technologies, spatial analysis, urban planning and public policies at an international level. As the co-founder of 300.000 Km/s, she has elaborated strategic reports, diagnoses, guidelines, data observatories and master plans in the field of environmental health, regulation of economic activity, new forms of mobility, housing vulnerability, data and digital divide, among others.She is a pioneer in Spain in the use of open data for urban policies (Associate from the Open Data Institute) and the fostering of digital/data skills among citizenship. She has also a lectured at several international faculties (Welsh School of Architecture, TU Braunschweig, School of Architecture of Barcelona, IAAC, among others) and public institutions.

  • Sergio García-Pérez, University of Zaragoza

    Sergio García-Pérez (MArch, PhD in Architecture) is Assistant Professor of Urban Design and Planning at the University of Zaragoza, Spain. Funded by the Ministry of Economy and Competitiveness (2015-19) and Ministry of Universities (2022), his research focuses on urban morphology and the analysis of its quality, considering the regeneration possibilities of different urban tissues at different scales. As practitioner, he has worked for the urban planning office 300.000 Km/s (National Prize for Urban Planning awarded by the CSCAE in 2019), collaborating on projects related to urban analysis, housing and urban regeneration (2020-22). Research stays at Universidade do Porto (2018, 2022) and Université Paris I-Sorbonne (2019). His research has been published in journals such as Cities, Sustainable Cities and Society, ACE, Territorio or Zarch.

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Published

2022-12-31

Issue

No. 19 (2022): Form and behaviour: modelling urbanity

Section

Conversations

License

Copyright (c) 2022 ZARCH

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

How to Cite

Martínez-Díez, P., Santamaría-Varas, M., & García-Pérez, S. (2022). From modelling to the model. A conversation with Laia Grau Balagueró. ZARCH. Journal of Interdisciplinary Studies in Architecture and Urbanism, 19, 198-207. https://doi.org/10.26754/ojs_zarch/zarch.2022197413

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