Evidence map›Paper›PMID 39744330›Full record

ReviewFrontiers in neuroscience2024

Neurochallenges in smart cities: state-of-the-art, perspectives, and research directions.

Begüm Özkaynak, Necati Aras, İrem Daloğlu Çetinkaya, Cem Ersoy, Özlem Durmaz İncel, Mutlu Koca, İrem Nalça, Turgut Tüzün Onay, Sinan Öncü, Berivan Ülger Vatansever and 2 more

Abstract readReview
In one paragraph

Review in Frontiers in neuroscience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Begüm ÖzkaynakDepartment of Economics, Boğaziçi University, Istanbul, Türkiye.
Necati ArasDepartment of Industrial Engineering, Boğaziçi University, Istanbul, Türkiye.
İrem Daloğlu ÇetinkayaThe Institute of Environmental Sciences, Boğaziçi University, Istanbul, Türkiye.
Cem ErsoyDepartment of Computer Engineering, Boğaziçi University, Istanbul, Türkiye.
Özlem Durmaz İncelDepartment of Electrical and Electronics, Boğaziçi University, Istanbul, Türkiye.
Mutlu KocaDepartment of Mechanical Engineering, Boğaziçi University, Istanbul, Türkiye.
İrem NalçaThe Institute of Biomedical Engineering, Boğaziçi University, Istanbul, Türkiye.
Turgut Tüzün OnayThe Institute of Environmental Sciences, Boğaziçi University, Istanbul, Türkiye.
Sinan ÖncüDepartment of Electrical and Electronics, Boğaziçi University, Istanbul, Türkiye.
Berivan Ülger VatanseverThe Institute of Environmental Sciences, Boğaziçi University, Istanbul, Türkiye.
Eda YücesoyDepartment of Urban and Regional Planning, Istanbul Technical University, Istanbul, Türkiye.
Can A YücesoyThe Institute of Biomedical Engineering, Boğaziçi University, Istanbul, Türkiye.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Smart city development is a complex, transdisciplinary challenge that requires adaptive resource use and context-aware decision-making practices to enhance human functionality and capabilities while respecting societal and environmental rights, and ethics. There is an urgent need for action in cities, particularly to (i) enhance the health and wellbeing of urban residents while ensuring inclusivity in urban development (e.g., through the intelligent design of public spaces, mobility, and transportation) and (ii) improve resilience and sustainability (e.g., through better disaster management, planning of city logistics, and waste management). This paper aims to explore how neuroscientific and neurotechnological solutions can contribute to the development of smart cities, as experts in various fields underline that real-time sensing designs and control algorithms inspired by the brain could help build and plan urban systems that are healthy, safe, inclusive, and resilient. Motivated by the potential interplay between societal challenges and these emerging technologies, we provide an overview of state-of-the-art research through a bibliometric analysis of neurochallenges within the context of smart cities using terms and data extracted from the Scopus database between 2018 and 2022. The results indicate that smart city research remains fragmented and technology-driven, relying heavily on internet of things (IoT) and artificial intelligence (AI)-based technologies. Mostly, it also lacks careful integration and adoption tailored to societal goals and human-centric concerns. In this context, the article explores key research streams and discusses how to create new synergies and complementarities in the challenge-technology intersection. We conclude that realizing the vision of smart cities at the nexus of neuroscience, technology, urban space, and society requires more than just technological progress. Integrating the human dimension alongside various technological tools and systems is crucial. This necessitates better interdisciplinary collaboration and co-production of knowledge toward a hybrid intelligence, where synergies of education and research, technological innovation, and societal innovation are genuinely built. We hope the insights from this analysis will help orient neurotechnological interventions on urban living and ensure they are more responsive to societal and environmental challenges as well as to legal and ethical concerns.

Indexed as

adaptive resource usehuman-centered technologyhuman wellbeinghybrid intelligenceneurourbanismresilience and sustainabilitysmart city development

Identifiers

PMID39744330
PMCPMC11688368

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.