On big data, artificial intelligence and smart cities

Allam, Zaheer; Dhunny, Zaynah A.

doi:10.1016/j.cities.2019.01.032

Cited by 766 publications

(367 citation statements)

References 101 publications

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“…On this, Gaille [5] argues the valuable role these devices play in influencing the advancement in this sector, as big data is positioned as the new 'gold rush' of the 21st century and associated benefits with big data are clearly influencing geopolitical standings, in both corporate and conventional governance realms, and there is increased competition between powerful economies to ensure that they have the maximum control of big data. The 'push and pull' from the rollout of Smart Cities technologies and in particular Huawei's 5G rollout is testament to this [35][36][37]. On this, it has been noted that the issue of data control and handling by a few corporations must not be geared solely for individual profit making or to benefit the territories they are registered in.…”

Section: On Ai-driven Algorithms and Bioinformaticsmentioning

confidence: 99%

Artificial Intelligence (AI) Provided Early Detection of the Coronavirus (COVID-19) in China and Will Influence Future Urban Health Policy Internationally

Allam

Dey

Jones

2020

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149

105

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Predictive computing tools are increasingly being used and have demonstrated successfulness in providing insights that can lead to better health policy and management. However, as these technologies are still in their infancy stages, slow progress is being made in their adoption for serious consideration at national and international policy levels. However, a recent case evidences that the precision of Artificial Intelligence (AI) driven algorithms are gaining in accuracy. AI modelling driven by companies such as BlueDot and Metabiota anticipated the Coronavirus (COVID-19) in China before it caught the world by surprise in late 2019 by both scouting its impact and its spread. From a survey of past viral outbreaks over the last 20 years, this paper explores how early viral detection will reduce in time as computing technology is enhanced and as more data communication and libraries are ensured between varying data information systems. For this enhanced data sharing activity to take place, it is noted that efficient data protocols have to be enforced to ensure that data is shared across networks and systems while ensuring privacy and preventing oversight, especially in the case of medical data. This will render enhanced AI predictive tools which will influence future urban health policy internationally.

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Section: On Ai-driven Algorithms and Bioinformaticsmentioning

confidence: 99%

Artificial Intelligence (AI) Provided Early Detection of the Coronavirus (COVID-19) in China and Will Influence Future Urban Health Policy Internationally

Allam

Dey

Jones

2020

Self Cite

149

105

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“…There is also a growing concern with the ability of smart city development to safeguard environmental sustainability [2,7,12,18,20]. Besides, a good number of reviews have examined the state-of-the-art in smart city development and/or governance [1,[6][7][8]14,16,[21][22][23]. Some of these reviews focus on the applications of big data and artificial intelligence in smart cities and their potential to promote environmental sustainability [6][7][8], as well as the technological risks involved in smart city development consequent to the applications of IoT [21,22].…”

Section: Introductionmentioning

confidence: 99%

Smart City Governance in Developing Countries: A Systematic Literature Review

2020

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Smart cities that make broad use of digital technologies have been touted as possible solutions for the population pressures faced by many cities in developing countries and may help meet the rising demand for services and infrastructure. Nevertheless, the high financial cost involved in infrastructure maintenance, the substantial size of the informal economies, and various governance challenges are curtailing government idealism regarding smart cities. This review examines the state of smart city development in developing countries, which includes understanding the conceptualisations, motivations, and unique drivers behind (and barriers to) smarty city development. A total of 56 studies were identified from a systematic literature review from an initial pool of 3928 social sciences literature identified from two academic databases. Data were analysed using thematic synthesis and thematic analysis. The review found that technologyenabled smart cities in developing countries can only be realised when concurrent socioeconomic, human, legal, and regulatory reforms are instituted. Governments need to step up their efforts to fulfil the basic infrastructure needs of citizens, raise more revenue, construct clear regulatory frameworks to mitigate the technological risks involved, develop human capital, ensure digital inclusivity, and promote environmental sustainability. A supportive ecosystem that encourages citizen participation, nurtures start-ups, and promotes public-private partnerships needs to be created to realise their smart city vision.

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“…While the significance of such data in advancing efficiency, productivity and processes in different sectors is being lauded, there are criticisms arising as to the nature of data collection, storage, management and accessibility by only a small group of users. The latter particularly includes select ICT corporations that are also located in specific geographies [6,[14][15][16][17]. These criticisms are justified, as in recent years, big data is seen as the new 'gold rush' of the 21st century and limiting its access means higher economic returns and increased influence and control at various scales to those who control data.…”

Section: On the Prospects Of Urban Health Datamentioning

confidence: 99%

On the Coronavirus (COVID-19) Outbreak and the Smart City Network: Universal Data Sharing Standards Coupled with Artificial Intelligence (AI) to Benefit Urban Health Monitoring and Management

Allam¹,

2020

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As the Coronavirus (COVID-19) expands its impact from China, expanding its catchment into surrounding regions and other countries, increased national and international measures are being taken to contain the outbreak. The placing of entire cities in 'lockdown' directly affects urban economies on a multi-lateral level, including from social and economic standpoints. This is being emphasised as the outbreak gains ground in other countries, leading towards a global health emergency, and as global collaboration is sought in numerous quarters. However, while effective protocols in regard to the sharing of health data is emphasised, urban data, on the other hand, specifically relating to urban health and safe city concepts, is still viewed from a nationalist perspective as solely benefiting a nation's economy and its economic and political influence. This perspective paper, written one month after detection and during the outbreak, surveys the virus outbreak from an urban standpoint and advances how smart city networks should work towards enhancing standardization protocols for increased data sharing in the event of outbreaks or disasters, leading to better global understanding and management of the same.Healthcare 2020, 8, 46 7 of 9 ConclusionsAs the world increases in its ready adoption of the smart city concept, and its related technological tools, these tools need to be tailored to ensure that liveability dimensions are adequately catered for, including the thematic of urban health. On this front, it is argued that the lack of standardization between smart city technology suppliers can lead and is leading to noncommunication between cities and data platforms. Such can, and is, resulting in a non-productive system in the case of virus outbreaks because early detection and management of the same can become increasingly dependent upon the technological backbone of smart cities. This paper thus highlights the urgent need to work towards the standardization of protocols for enhanced smart city communication and the need to democratize the smart city technology sphere to encourage equity and transparency amongst stakeholders, thereby providing more possible cooperation in the case of disasters.

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On big data, artificial intelligence and smart cities

Cited by 766 publications

References 101 publications

Artificial Intelligence (AI) Provided Early Detection of the Coronavirus (COVID-19) in China and Will Influence Future Urban Health Policy Internationally

Artificial Intelligence (AI) Provided Early Detection of the Coronavirus (COVID-19) in China and Will Influence Future Urban Health Policy Internationally

Smart City Governance in Developing Countries: A Systematic Literature Review

On the Coronavirus (COVID-19) Outbreak and the Smart City Network: Universal Data Sharing Standards Coupled with Artificial Intelligence (AI) to Benefit Urban Health Monitoring and Management

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