eprintid: 14235
rev_number: 10
eprint_status: archive
userid: 353
dir: disk0/00/01/42/35
datestamp: 2017-01-10 13:26:34
lastmod: 2021-08-27 17:28:23
status_changed: 2017-01-10 13:26:34
type: article
metadata_visibility: show
creators_name: Kharrazi, A.
creators_name: Qin, H.
creators_name: Zhang, Y.
creators_id: 8681
creators_orcid: 0000-0002-5881-2568
title: Urban Big Data and Sustainable Development Goals: Challenges and Opportunities
ispublished: pub
divisions: prog_asa
keywords: Big data public policy; Big data research and education; SDG targets and indicators; Sustainable development goals; Urban big data
abstract: Cities are perhaps one of the most challenging and yet enabling arenas for sustainable development goals. The Sustainable Development Goals (SDGs) emphasize the need to monitor each goal through objective targets and indicators based on common denominators in the ability of countries to collect and maintain relevant standardized data. While this approach is aimed at harmonizing the SDGs at the national level, it presents unique challenges and opportunities for the development of innovative urban-level metrics through big data innovations. In this article, we make the case for advancing more innovative targets and indicators relevant to the SDGs through the emergence of urban big data. We believe that urban policy-makers are faced with unique opportunities to develop, experiment, and advance big data practices relevant to sustainable development. This can be achieved by situating the application of big data innovations through developing mayoral institutions for the governance of urban big data, advancing the culture and common skill sets for applying urban big data, and investing in specialized research and education programs.
date: 2016-12-09
date_type: published
publisher: Molecular Diversity Preservation International (MDPI)
id_number: doi:10.3390/su8121293
creators_browse_id: 153
full_text_status: public
publication: Sustainability
volume: 8
number: 12
pagerange: e1293
refereed: TRUE
issn: 2071-1050
coversheets_dirty: FALSE
fp7_project: no
fp7_type: info:eu-repo/semantics/article
citation:   Kharrazi, A. <https://pure.iiasa.ac.at/view/iiasa/153.html> ORCID: https://orcid.org/0000-0002-5881-2568 <https://orcid.org/0000-0002-5881-2568>, Qin, H., & Zhang, Y.  (2016).  Urban Big Data and Sustainable Development Goals: Challenges and Opportunities.   Sustainability 8 (12) e1293. 10.3390/su8121293 <https://doi.org/10.3390/su8121293>.       
document_url: https://pure.iiasa.ac.at/id/eprint/14235/1/Urban%20Big%20Data%20and%20Sustainable%20Development%20Goals.pdf