Abdulrazzaq Shaamala
Datos Biográficos
| ID | 4416935 |
|---|---|
| NOMBRE | Abdulrazzaq Shaamala |
| NOMBRES | Abdulrazzaq |
| APELLIDO | Shaamala |
| FIRMA | SHAAMALA A |
| AFILIACIONES | Queensland University of Technology |
| ORCID | 0000-0003-1683-4192 |
| VERIFICADO | Sí |
| TOTAL DE OBRAS | 8 |
| TOTAL DE CITAS | 0 |
| TOTAL COMO AUTOR | 8 |
| TOTAL COMO EDITOR | 0 |
| PRIMER AÑO DE PUBLICACIÓN | 2024 |
| AÑO MÁS RECIENTE DE PUBLICACIÓN | 2026 |
| ÍNDICE H | 0 |
Rethinking impact assessment for Olympic mega-events
With six years remaining until the Brisbane 2032 Olympic and Paralympic Games, this viewpoint examines whether conventional impact assessment approaches are adequate for governing the cumulative, cross-scalar, and long-term impacts of mega-events. The Olympic and Paralympic Games generate governance and assessment challenges that extend beyond the scope of traditional project-based environmental impact assessment (EIA), including multiple interde…
Surveilled urban futures
Urban AI is increasingly embedded in the governance of security, mobility, and everyday life through sensors, cameras, and algorithmic systems promoted under smart city agendas. While these technologies promise efficiency and protection, their rapid normalisation raises tensions between security, democratic accountability and individual freedom. This commentary critically examines AI-enabled urban surveillance as a contemporary mode of statecraft…
Are AI narratives on smart cities realistic? Content and sentiment analysis on popular YouTube discourse
Leveraging urban AI for high-resolution urban heat mapping
Urban heat island (UHI) effects are increasingly recognised as a significant challenge arising from urbanisation, leading to elevated temperatures within urban areas that pose risks to public health and undermine the sustainability of cities. Effective UHI management requires high-resolution and timely mapping of urban temperature patterns to guide interventions. Traditional methods for urban heat mapping often lack the spatial accuracy and effic…
Quantum AI Urbanism
Machine learning applications for urban geospatial analysis
The application of machine learning (ML) in geospatial analysis has witnessed a significant upsurge, particularly in the last five years. This surge is linked to exponential developments in artificial intelligence (AI) technologies and the extensive demand for their applications in geospatial analysis fields such as urban and environmental studies and planning. Given these rapid developments, understanding the capabilities and applications of ML …
Algorithmic urban greening for thermal resilience
Algorithmic green infrastructure optimisation
Green infrastructure (GI) is a fundamental building block of our cities. It contributes to the sustainability and vitality of cities by offering various benefits such as greening, cooling, water, air quality, and managing carbon emissions. GI plays an essential role in enhancing overall well-being. The utilisation of artificial intelligence (AI) technologies for GI optimisation is perceived as a powerful approach for cities. A knowledge gap, neve…
Sin obras prominentes en esta página.
Algorithmic green infrastructure optimisation
Green infrastructure (GI) is a fundamental building block of our cities. It contributes to the sustainability and vitality of cities by offering various benefits such as greening, cooling, water, air quality, and managing carbon emissions. GI plays an essential role in enhancing overall well-being. The utilisation of artificial intelligence (AI) technologies for GI optimisation is perceived as a powerful approach for cities. A knowledge gap, neve…
Leveraging urban AI for high-resolution urban heat mapping
Urban heat island (UHI) effects are increasingly recognised as a significant challenge arising from urbanisation, leading to elevated temperatures within urban areas that pose risks to public health and undermine the sustainability of cities. Effective UHI management requires high-resolution and timely mapping of urban temperature patterns to guide interventions. Traditional methods for urban heat mapping often lack the spatial accuracy and effic…
Quantum AI Urbanism
Machine learning applications for urban geospatial analysis
The application of machine learning (ML) in geospatial analysis has witnessed a significant upsurge, particularly in the last five years. This surge is linked to exponential developments in artificial intelligence (AI) technologies and the extensive demand for their applications in geospatial analysis fields such as urban and environmental studies and planning. Given these rapid developments, understanding the capabilities and applications of ML …
Algorithmic urban greening for thermal resilience
Rethinking impact assessment for Olympic mega-events
With six years remaining until the Brisbane 2032 Olympic and Paralympic Games, this viewpoint examines whether conventional impact assessment approaches are adequate for governing the cumulative, cross-scalar, and long-term impacts of mega-events. The Olympic and Paralympic Games generate governance and assessment challenges that extend beyond the scope of traditional project-based environmental impact assessment (EIA), including multiple interde…
Surveilled urban futures
Urban AI is increasingly embedded in the governance of security, mobility, and everyday life through sensors, cameras, and algorithmic systems promoted under smart city agendas. While these technologies promise efficiency and protection, their rapid normalisation raises tensions between security, democratic accountability and individual freedom. This commentary critically examines AI-enabled urban surveillance as a contemporary mode of statecraft…
Are AI narratives on smart cities realistic? Content and sentiment analysis on popular YouTube discourse
Computer Science (4 obras) · Corporate governance (3 obras) · Geography (3 obras) · Smart Cities and Technologies (3 obras) · Urban Heat Island Mitigation (3 obras) · Artificial Intelligence (2 obras) · Climate change (2 obras) · Ecology (2 obras) · Engineering (2 obras) · Environmental planning (2 obras)