Data-driven smart sustainable urbanism: the intertwined societal factors underlying its materialization, success, expansion, and evolution
Abstract Visions of future advances in science and technology (S&T) inevitably bring with them wide-ranging common visions on how societies, and thus cities as social organizations, will evolve in the future and the immense opportunities this future will bring. This relates to the role of scienc...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Bibri, Simon Elias [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2019 |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
Enthalten in: GeoJournal - Dordrecht [u.a.] : Springer Science + Business Media B.V., 1977, 86(2019), 1 vom: 30. Juli, Seite 43-68 |
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| Übergeordnetes Werk: |
volume:86 ; year:2019 ; number:1 ; day:30 ; month:07 ; pages:43-68 |
| Links: |
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| DOI / URN: |
10.1007/s10708-019-10061-x |
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| Katalog-ID: |
SPR043175171 |
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| 520 | |a Abstract Visions of future advances in science and technology (S&T) inevitably bring with them wide-ranging common visions on how societies, and thus cities as social organizations, will evolve in the future and the immense opportunities this future will bring. This relates to the role of science-based technology in modern society. The focus here is on big data science and analytics and the underpinning technologies as an instance of S&T and its role in advancing sustainability in modern cities. This relates to what has been dubbed data-driven smart sustainable urbanism. However, there is a little understanding about how it has emerged and why it has become institutionalized and interwoven with politics and policy—urban dissemination. Therefore, this paper examines the intertwined societal factors underlying its materialization, success, expansion, and evolution, as well as critically discusses urban science and big data technology as social constructions in terms of their inherent flaws, limits, and biases. This paper argues that data-driven smart sustainable urbanism is shaped by socio-cultural and politico-institutional structures. And it will prevail for many years to come given the underlying transformational power of big data science and analytics, coupled with its legitimation capacity associated with the scientific discourse as the ultimate form of rational thought and the basis for legitimacy in knowledge-making and policy-making. This paper also argues that there is a need for re-casting urban science in ways that reconfigure the underlying epistemology to recognize the complex and dynamic nature of smart sustainable cities, as well as for re-casting them in ways that re-orientate in how they are conceived. | ||
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| 650 | 4 | |a Sustainable development |7 (dpeaa)DE-He213 | |
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10.1007/s10708-019-10061-x doi (DE-627)SPR043175171 (DE-599)SPRs10708-019-10061-x-e (SPR)s10708-019-10061-x-e DE-627 ger DE-627 rakwb eng 550 ASE 43.00 bkl 74.00 bkl 38.00 bkl Bibri, Simon Elias verfasserin aut Data-driven smart sustainable urbanism: the intertwined societal factors underlying its materialization, success, expansion, and evolution 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Visions of future advances in science and technology (S&T) inevitably bring with them wide-ranging common visions on how societies, and thus cities as social organizations, will evolve in the future and the immense opportunities this future will bring. This relates to the role of science-based technology in modern society. The focus here is on big data science and analytics and the underpinning technologies as an instance of S&T and its role in advancing sustainability in modern cities. This relates to what has been dubbed data-driven smart sustainable urbanism. However, there is a little understanding about how it has emerged and why it has become institutionalized and interwoven with politics and policy—urban dissemination. Therefore, this paper examines the intertwined societal factors underlying its materialization, success, expansion, and evolution, as well as critically discusses urban science and big data technology as social constructions in terms of their inherent flaws, limits, and biases. This paper argues that data-driven smart sustainable urbanism is shaped by socio-cultural and politico-institutional structures. And it will prevail for many years to come given the underlying transformational power of big data science and analytics, coupled with its legitimation capacity associated with the scientific discourse as the ultimate form of rational thought and the basis for legitimacy in knowledge-making and policy-making. This paper also argues that there is a need for re-casting urban science in ways that reconfigure the underlying epistemology to recognize the complex and dynamic nature of smart sustainable cities, as well as for re-casting them in ways that re-orientate in how they are conceived. Data-driven smart sustainable urbanism (dpeaa)DE-He213 Smart sustainable cities (dpeaa)DE-He213 Big data technology (dpeaa)DE-He213 Datafication (dpeaa)DE-He213 Urban science (dpeaa)DE-He213 Data science (dpeaa)DE-He213 Social constructions (dpeaa)DE-He213 Sustainable development (dpeaa)DE-He213 Science, technology, and society (dpeaa)DE-He213 Enthalten in GeoJournal Dordrecht [u.a.] : Springer Science + Business Media B.V., 1977 86(2019), 1 vom: 30. Juli, Seite 43-68 (DE-627)312846185 (DE-600)2012355-3 1572-9893 nnns volume:86 year:2019 number:1 day:30 month:07 pages:43-68 https://dx.doi.org/10.1007/s10708-019-10061-x lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OPC-GGO SSG-OPC-ASE GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_374 GBV_ILN_381 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2018 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_2949 GBV_ILN_2950 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4346 GBV_ILN_4393 GBV_ILN_4700 43.00 ASE 74.00 ASE 38.00 ASE AR 86 2019 1 30 07 43-68 |
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10.1007/s10708-019-10061-x doi (DE-627)SPR043175171 (DE-599)SPRs10708-019-10061-x-e (SPR)s10708-019-10061-x-e DE-627 ger DE-627 rakwb eng 550 ASE 43.00 bkl 74.00 bkl 38.00 bkl Bibri, Simon Elias verfasserin aut Data-driven smart sustainable urbanism: the intertwined societal factors underlying its materialization, success, expansion, and evolution 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Visions of future advances in science and technology (S&T) inevitably bring with them wide-ranging common visions on how societies, and thus cities as social organizations, will evolve in the future and the immense opportunities this future will bring. This relates to the role of science-based technology in modern society. The focus here is on big data science and analytics and the underpinning technologies as an instance of S&T and its role in advancing sustainability in modern cities. This relates to what has been dubbed data-driven smart sustainable urbanism. However, there is a little understanding about how it has emerged and why it has become institutionalized and interwoven with politics and policy—urban dissemination. Therefore, this paper examines the intertwined societal factors underlying its materialization, success, expansion, and evolution, as well as critically discusses urban science and big data technology as social constructions in terms of their inherent flaws, limits, and biases. This paper argues that data-driven smart sustainable urbanism is shaped by socio-cultural and politico-institutional structures. And it will prevail for many years to come given the underlying transformational power of big data science and analytics, coupled with its legitimation capacity associated with the scientific discourse as the ultimate form of rational thought and the basis for legitimacy in knowledge-making and policy-making. This paper also argues that there is a need for re-casting urban science in ways that reconfigure the underlying epistemology to recognize the complex and dynamic nature of smart sustainable cities, as well as for re-casting them in ways that re-orientate in how they are conceived. Data-driven smart sustainable urbanism (dpeaa)DE-He213 Smart sustainable cities (dpeaa)DE-He213 Big data technology (dpeaa)DE-He213 Datafication (dpeaa)DE-He213 Urban science (dpeaa)DE-He213 Data science (dpeaa)DE-He213 Social constructions (dpeaa)DE-He213 Sustainable development (dpeaa)DE-He213 Science, technology, and society (dpeaa)DE-He213 Enthalten in GeoJournal Dordrecht [u.a.] : Springer Science + Business Media B.V., 1977 86(2019), 1 vom: 30. Juli, Seite 43-68 (DE-627)312846185 (DE-600)2012355-3 1572-9893 nnns volume:86 year:2019 number:1 day:30 month:07 pages:43-68 https://dx.doi.org/10.1007/s10708-019-10061-x lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OPC-GGO SSG-OPC-ASE GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_374 GBV_ILN_381 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2018 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_2949 GBV_ILN_2950 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4346 GBV_ILN_4393 GBV_ILN_4700 43.00 ASE 74.00 ASE 38.00 ASE AR 86 2019 1 30 07 43-68 |
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10.1007/s10708-019-10061-x doi (DE-627)SPR043175171 (DE-599)SPRs10708-019-10061-x-e (SPR)s10708-019-10061-x-e DE-627 ger DE-627 rakwb eng 550 ASE 43.00 bkl 74.00 bkl 38.00 bkl Bibri, Simon Elias verfasserin aut Data-driven smart sustainable urbanism: the intertwined societal factors underlying its materialization, success, expansion, and evolution 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Visions of future advances in science and technology (S&T) inevitably bring with them wide-ranging common visions on how societies, and thus cities as social organizations, will evolve in the future and the immense opportunities this future will bring. This relates to the role of science-based technology in modern society. The focus here is on big data science and analytics and the underpinning technologies as an instance of S&T and its role in advancing sustainability in modern cities. This relates to what has been dubbed data-driven smart sustainable urbanism. However, there is a little understanding about how it has emerged and why it has become institutionalized and interwoven with politics and policy—urban dissemination. Therefore, this paper examines the intertwined societal factors underlying its materialization, success, expansion, and evolution, as well as critically discusses urban science and big data technology as social constructions in terms of their inherent flaws, limits, and biases. This paper argues that data-driven smart sustainable urbanism is shaped by socio-cultural and politico-institutional structures. And it will prevail for many years to come given the underlying transformational power of big data science and analytics, coupled with its legitimation capacity associated with the scientific discourse as the ultimate form of rational thought and the basis for legitimacy in knowledge-making and policy-making. This paper also argues that there is a need for re-casting urban science in ways that reconfigure the underlying epistemology to recognize the complex and dynamic nature of smart sustainable cities, as well as for re-casting them in ways that re-orientate in how they are conceived. Data-driven smart sustainable urbanism (dpeaa)DE-He213 Smart sustainable cities (dpeaa)DE-He213 Big data technology (dpeaa)DE-He213 Datafication (dpeaa)DE-He213 Urban science (dpeaa)DE-He213 Data science (dpeaa)DE-He213 Social constructions (dpeaa)DE-He213 Sustainable development (dpeaa)DE-He213 Science, technology, and society (dpeaa)DE-He213 Enthalten in GeoJournal Dordrecht [u.a.] : Springer Science + Business Media B.V., 1977 86(2019), 1 vom: 30. Juli, Seite 43-68 (DE-627)312846185 (DE-600)2012355-3 1572-9893 nnns volume:86 year:2019 number:1 day:30 month:07 pages:43-68 https://dx.doi.org/10.1007/s10708-019-10061-x lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OPC-GGO SSG-OPC-ASE GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_374 GBV_ILN_381 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2018 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_2949 GBV_ILN_2950 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4346 GBV_ILN_4393 GBV_ILN_4700 43.00 ASE 74.00 ASE 38.00 ASE AR 86 2019 1 30 07 43-68 |
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10.1007/s10708-019-10061-x doi (DE-627)SPR043175171 (DE-599)SPRs10708-019-10061-x-e (SPR)s10708-019-10061-x-e DE-627 ger DE-627 rakwb eng 550 ASE 43.00 bkl 74.00 bkl 38.00 bkl Bibri, Simon Elias verfasserin aut Data-driven smart sustainable urbanism: the intertwined societal factors underlying its materialization, success, expansion, and evolution 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Visions of future advances in science and technology (S&T) inevitably bring with them wide-ranging common visions on how societies, and thus cities as social organizations, will evolve in the future and the immense opportunities this future will bring. This relates to the role of science-based technology in modern society. The focus here is on big data science and analytics and the underpinning technologies as an instance of S&T and its role in advancing sustainability in modern cities. This relates to what has been dubbed data-driven smart sustainable urbanism. However, there is a little understanding about how it has emerged and why it has become institutionalized and interwoven with politics and policy—urban dissemination. Therefore, this paper examines the intertwined societal factors underlying its materialization, success, expansion, and evolution, as well as critically discusses urban science and big data technology as social constructions in terms of their inherent flaws, limits, and biases. This paper argues that data-driven smart sustainable urbanism is shaped by socio-cultural and politico-institutional structures. And it will prevail for many years to come given the underlying transformational power of big data science and analytics, coupled with its legitimation capacity associated with the scientific discourse as the ultimate form of rational thought and the basis for legitimacy in knowledge-making and policy-making. This paper also argues that there is a need for re-casting urban science in ways that reconfigure the underlying epistemology to recognize the complex and dynamic nature of smart sustainable cities, as well as for re-casting them in ways that re-orientate in how they are conceived. Data-driven smart sustainable urbanism (dpeaa)DE-He213 Smart sustainable cities (dpeaa)DE-He213 Big data technology (dpeaa)DE-He213 Datafication (dpeaa)DE-He213 Urban science (dpeaa)DE-He213 Data science (dpeaa)DE-He213 Social constructions (dpeaa)DE-He213 Sustainable development (dpeaa)DE-He213 Science, technology, and society (dpeaa)DE-He213 Enthalten in GeoJournal Dordrecht [u.a.] : Springer Science + Business Media B.V., 1977 86(2019), 1 vom: 30. Juli, Seite 43-68 (DE-627)312846185 (DE-600)2012355-3 1572-9893 nnns volume:86 year:2019 number:1 day:30 month:07 pages:43-68 https://dx.doi.org/10.1007/s10708-019-10061-x lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OPC-GGO SSG-OPC-ASE GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_374 GBV_ILN_381 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2018 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_2949 GBV_ILN_2950 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4346 GBV_ILN_4393 GBV_ILN_4700 43.00 ASE 74.00 ASE 38.00 ASE AR 86 2019 1 30 07 43-68 |
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10.1007/s10708-019-10061-x doi (DE-627)SPR043175171 (DE-599)SPRs10708-019-10061-x-e (SPR)s10708-019-10061-x-e DE-627 ger DE-627 rakwb eng 550 ASE 43.00 bkl 74.00 bkl 38.00 bkl Bibri, Simon Elias verfasserin aut Data-driven smart sustainable urbanism: the intertwined societal factors underlying its materialization, success, expansion, and evolution 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Visions of future advances in science and technology (S&T) inevitably bring with them wide-ranging common visions on how societies, and thus cities as social organizations, will evolve in the future and the immense opportunities this future will bring. This relates to the role of science-based technology in modern society. The focus here is on big data science and analytics and the underpinning technologies as an instance of S&T and its role in advancing sustainability in modern cities. This relates to what has been dubbed data-driven smart sustainable urbanism. However, there is a little understanding about how it has emerged and why it has become institutionalized and interwoven with politics and policy—urban dissemination. Therefore, this paper examines the intertwined societal factors underlying its materialization, success, expansion, and evolution, as well as critically discusses urban science and big data technology as social constructions in terms of their inherent flaws, limits, and biases. This paper argues that data-driven smart sustainable urbanism is shaped by socio-cultural and politico-institutional structures. And it will prevail for many years to come given the underlying transformational power of big data science and analytics, coupled with its legitimation capacity associated with the scientific discourse as the ultimate form of rational thought and the basis for legitimacy in knowledge-making and policy-making. This paper also argues that there is a need for re-casting urban science in ways that reconfigure the underlying epistemology to recognize the complex and dynamic nature of smart sustainable cities, as well as for re-casting them in ways that re-orientate in how they are conceived. Data-driven smart sustainable urbanism (dpeaa)DE-He213 Smart sustainable cities (dpeaa)DE-He213 Big data technology (dpeaa)DE-He213 Datafication (dpeaa)DE-He213 Urban science (dpeaa)DE-He213 Data science (dpeaa)DE-He213 Social constructions (dpeaa)DE-He213 Sustainable development (dpeaa)DE-He213 Science, technology, and society (dpeaa)DE-He213 Enthalten in GeoJournal Dordrecht [u.a.] : Springer Science + Business Media B.V., 1977 86(2019), 1 vom: 30. Juli, Seite 43-68 (DE-627)312846185 (DE-600)2012355-3 1572-9893 nnns volume:86 year:2019 number:1 day:30 month:07 pages:43-68 https://dx.doi.org/10.1007/s10708-019-10061-x lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OPC-GGO SSG-OPC-ASE GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_374 GBV_ILN_381 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2018 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_2949 GBV_ILN_2950 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4346 GBV_ILN_4393 GBV_ILN_4700 43.00 ASE 74.00 ASE 38.00 ASE AR 86 2019 1 30 07 43-68 |
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|
| author |
Bibri, Simon Elias |
| spellingShingle |
Bibri, Simon Elias ddc 550 bkl 43.00 bkl 74.00 bkl 38.00 misc Data-driven smart sustainable urbanism misc Smart sustainable cities misc Big data technology misc Datafication misc Urban science misc Data science misc Social constructions misc Sustainable development misc Science, technology, and society Data-driven smart sustainable urbanism: the intertwined societal factors underlying its materialization, success, expansion, and evolution |
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Bibri, Simon Elias |
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electronic Article |
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550 - Earth sciences |
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keep |
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aut |
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springer |
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true |
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Not Illustrated |
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1572-9893 |
| topic_title |
550 ASE 43.00 bkl 74.00 bkl 38.00 bkl Data-driven smart sustainable urbanism: the intertwined societal factors underlying its materialization, success, expansion, and evolution Data-driven smart sustainable urbanism (dpeaa)DE-He213 Smart sustainable cities (dpeaa)DE-He213 Big data technology (dpeaa)DE-He213 Datafication (dpeaa)DE-He213 Urban science (dpeaa)DE-He213 Data science (dpeaa)DE-He213 Social constructions (dpeaa)DE-He213 Sustainable development (dpeaa)DE-He213 Science, technology, and society (dpeaa)DE-He213 |
| topic |
ddc 550 bkl 43.00 bkl 74.00 bkl 38.00 misc Data-driven smart sustainable urbanism misc Smart sustainable cities misc Big data technology misc Datafication misc Urban science misc Data science misc Social constructions misc Sustainable development misc Science, technology, and society |
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ddc 550 bkl 43.00 bkl 74.00 bkl 38.00 misc Data-driven smart sustainable urbanism misc Smart sustainable cities misc Big data technology misc Datafication misc Urban science misc Data science misc Social constructions misc Sustainable development misc Science, technology, and society |
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Data-driven smart sustainable urbanism: the intertwined societal factors underlying its materialization, success, expansion, and evolution |
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data-driven smart sustainable urbanism: the intertwined societal factors underlying its materialization, success, expansion, and evolution |
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Data-driven smart sustainable urbanism: the intertwined societal factors underlying its materialization, success, expansion, and evolution |
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Abstract Visions of future advances in science and technology (S&T) inevitably bring with them wide-ranging common visions on how societies, and thus cities as social organizations, will evolve in the future and the immense opportunities this future will bring. This relates to the role of science-based technology in modern society. The focus here is on big data science and analytics and the underpinning technologies as an instance of S&T and its role in advancing sustainability in modern cities. This relates to what has been dubbed data-driven smart sustainable urbanism. However, there is a little understanding about how it has emerged and why it has become institutionalized and interwoven with politics and policy—urban dissemination. Therefore, this paper examines the intertwined societal factors underlying its materialization, success, expansion, and evolution, as well as critically discusses urban science and big data technology as social constructions in terms of their inherent flaws, limits, and biases. This paper argues that data-driven smart sustainable urbanism is shaped by socio-cultural and politico-institutional structures. And it will prevail for many years to come given the underlying transformational power of big data science and analytics, coupled with its legitimation capacity associated with the scientific discourse as the ultimate form of rational thought and the basis for legitimacy in knowledge-making and policy-making. This paper also argues that there is a need for re-casting urban science in ways that reconfigure the underlying epistemology to recognize the complex and dynamic nature of smart sustainable cities, as well as for re-casting them in ways that re-orientate in how they are conceived. |
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Abstract Visions of future advances in science and technology (S&T) inevitably bring with them wide-ranging common visions on how societies, and thus cities as social organizations, will evolve in the future and the immense opportunities this future will bring. This relates to the role of science-based technology in modern society. The focus here is on big data science and analytics and the underpinning technologies as an instance of S&T and its role in advancing sustainability in modern cities. This relates to what has been dubbed data-driven smart sustainable urbanism. However, there is a little understanding about how it has emerged and why it has become institutionalized and interwoven with politics and policy—urban dissemination. Therefore, this paper examines the intertwined societal factors underlying its materialization, success, expansion, and evolution, as well as critically discusses urban science and big data technology as social constructions in terms of their inherent flaws, limits, and biases. This paper argues that data-driven smart sustainable urbanism is shaped by socio-cultural and politico-institutional structures. And it will prevail for many years to come given the underlying transformational power of big data science and analytics, coupled with its legitimation capacity associated with the scientific discourse as the ultimate form of rational thought and the basis for legitimacy in knowledge-making and policy-making. This paper also argues that there is a need for re-casting urban science in ways that reconfigure the underlying epistemology to recognize the complex and dynamic nature of smart sustainable cities, as well as for re-casting them in ways that re-orientate in how they are conceived. |
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Abstract Visions of future advances in science and technology (S&T) inevitably bring with them wide-ranging common visions on how societies, and thus cities as social organizations, will evolve in the future and the immense opportunities this future will bring. This relates to the role of science-based technology in modern society. The focus here is on big data science and analytics and the underpinning technologies as an instance of S&T and its role in advancing sustainability in modern cities. This relates to what has been dubbed data-driven smart sustainable urbanism. However, there is a little understanding about how it has emerged and why it has become institutionalized and interwoven with politics and policy—urban dissemination. Therefore, this paper examines the intertwined societal factors underlying its materialization, success, expansion, and evolution, as well as critically discusses urban science and big data technology as social constructions in terms of their inherent flaws, limits, and biases. This paper argues that data-driven smart sustainable urbanism is shaped by socio-cultural and politico-institutional structures. And it will prevail for many years to come given the underlying transformational power of big data science and analytics, coupled with its legitimation capacity associated with the scientific discourse as the ultimate form of rational thought and the basis for legitimacy in knowledge-making and policy-making. This paper also argues that there is a need for re-casting urban science in ways that reconfigure the underlying epistemology to recognize the complex and dynamic nature of smart sustainable cities, as well as for re-casting them in ways that re-orientate in how they are conceived. |
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| score |
7.3988514 |