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All stories that have been tagged with Publications
Enhancing power grid safety through Robust Fault Location research
New research at FRS increases the efficiency and reliability of detecting issues in power networks.
ResQ-IOS: A framework for quantifying the resilience of interdependent infrastructure systems
FRS researchers developed the ResQ-IOS, a computational tool for modeling, optimising, and quantifying the resilience of interdependent critical infrastructure networks.
Bolstering societies’ resilience through high social trust levels
This FRS working paper outlines how social contracts and social trust are key building blocks of social resilience.
A robust-stochastic optimisation approach for a logistics planning problem
This FRS Technical Note details a tool based on optimisation under uncertainty to address planning issues for training events for Singapore's Defence Science and Technology Agency (DSTA).
Trust as the bedrock of social resilience
This Note explores how trust builds social resilience by supporting well-functioning social contracts.
Long-term solar PhotoVoltaic (PV) planning
An economic-driven robust optimisation approach
Describe-Disrupt-Determine: A review of resilience analysis for cyber-physical systems
Dr Beatrice Cassottana of FRS and her co-writers propose a three-step resilience assessment framework for Cyber-Physical Systems (CPS).
Street-level traffic flow and context sensing analysis through semantic modelling
Using multisource geospatial data, FRS researchers propose a geo-semantic framework to explore the relationship between multi-hierarchical urban context and street-level traffic flow.
Modelling fortification strategies for network resilience optimisation
Using Immunisation and Mitigation strategies, FRS researchers and their team model fortification strategies on a transmission network for more resilient and cost-effective solutions.
Machine learning and simulation models for predicting infrastructure systems' resilience
FRS researchers and their team combine simulation models and machine learning algorithms to better predict the resilience of infrastructure systems during disruptions.
How anthropogenic heat affects air temperature of naturally ventilated apartments
FRS Researchers' examined the impact of heat from air conditioning on indoor air temperatures of naturally ventilated apartments in Singapore, with implications for urban planning.
Social resilience: ‘Hard’ approaches to understand ‘heart’ issues
Prof. Renate Schubert and Dr Jonas Joerin of FRS explain how scientific approaches help in understanding social resilience and other human issues.
New integrated simulation platform to analyse infrastructure resilience
FRS researchers developed the 'InfraRisk' platform to help decision-makers create policies for better disaster resilience of interconnected networks.
Flood resilience of urban electric vehicle charging networks
FRS researchers study the effects of flooding on electric vehicle (EV) infrastructure, drivers and the local network, and propose ways to bolster the resilience of EV networks.
How does online social capital affect the online resilience of individual investors?
Researchers from FRS found that online social capital established during a stock market crash improves online investor resilience.
Future air temperature projection for better urban resilience
Researchers from FRS predict air temperature changes for better urban planning in the face of climate change and urbanisation
Better building energy modelling using microclimate data
Prof. Yuan Chao and his team from FRS developed a framework to prepare microclimate data to improve Building Energy Modelling (BEM) performance.
Data-driven optimisation for safer excavations
Dr Alberto Costa from Future Resilient Systems and co-authors have developed an optimisation framework that uses smart sensor data to improve safety during excavations.
The political economy of AI-driven financial supervision
Prof. Gerard Hertig of FRS surveys and analyses the issues in the financial services industry's potential adoption of AI.
Understanding traffic congestion patterns with deep learning
FRS researchers examine how existing research detects, predicts and alleviates traffic congestion
Minimising worst-case scenario downtime for rail transit networks
FRS researchers developed a new optimisation model to minimise system downtime based on a study of Singapore’s mass rapid transit (MRT).
Modelling heat plumes that promote air flow
In dense urban areas, buoyancy-driven airflow could improve natural ventilation and make city-dwellers more comfortable. FRS researchers have modelled heat plumes in 3D to understand these mechanisms.
System recovery through distributed energy resources
With increasing large-scale blackouts, ad hoc microgrids supplied by distributed energy resources can restore critical loads more quickly and improve system resilience, according to FRS researchers .
Assessing social resilience during pandemics
How do we assess social resilience during pandemics? Researchers from FRS and ETH Zurich conduct a comparative study between Singapore and Switzerland to assess social resilience during COVID-19.
Key factors affecting power systems resilience
FRS researchers looked into power systems resilience against severe weather from three perspectives: the extrinsic disruptions, the intrinsic capacities of the system, and the effectiveness of recovery.
Impact of time granularity on the propagation of disruptions
FRS researchers have developed a system-of-systems simulation to explore how time granularity, recovery time, and disruption size can affect the propagation of disruption between infrastructure and business networks.
Framework for modelling interdependencies between urban systems
FRS researchers described a workflow to apply a framework for modelling interdependencies between households, businesses, and infrastructure systems, and their response to disruptions.
Link between empathy and environmental concern
A study by researchers from the FRS and Nanyang Technological University suggest that Singaporeans with high levels of empathy are ready to sacrifice personal comfort for the common good.
Using AI for financial supervision
How important is Artificial Intelligence (AI) in the provision and supervision of financial services? FRS principal investigator, Prof. Gerard Hertig, conducted a quantitative and qualitative analysis.
Urban planning GIS tool for climate resilience
Asst Prof. Yuan Chao and Dr He Wenhui from FRS, together with co-authors, have develop a new urban planning GIS tool to help Singapore stay cool and improve urban climate resilience.
Model for resilient water distribution systems
FRS researchers have developed a model that supports tailored strategies to make water distribution systems more resilient, based on the location and criticality of the disruption.
Weak signal detection - a unified conceptual framework
Researchers from the Future Resilient Systems (FRS) programme conducted a comprehensive interdisciplinary review of weak signal detection and propose a unified conceptual framework to improve weak signal exploitation in social systems.
Studying anthropogenic heat dispersion to improve urban climate resilience
How does urban morphology affect anthropogenic heat dispersion at urban areas? FRS researchers investigate heat balance in the street canyon, and provide a user-friendly GIS tool for urban planning practice.
How disinformation can weaken infrastructure systems’ resilience
Can disinformation manipulate consumers and reduce the resilience of critical infrastructure? FRS researchers demonstrate how disinformation affects the power grid of a metropolis.
Social resilience indicators for disaster-related contexts
Researchers from the Future Resilient Systems (FRS) programme conducted a comprehensive analysis of indicators to assess social resilience for disaster-related contexts.
A tool to build and assess indices
Researchers from the Future Resilient Systems programme present a multiple criteria decision analysis (MCDA) software that supports the dynamic shaping and evaluation of indices.
Modelling urban systems interdependencies
FRS researchers developed a framework to model interdependencies among households, businesses, and infrastructure systems and further our understanding of these systems' response to disruptions.
Agent-based model of collective decision-making
How robust are information sharing strategies for information overload? Researchers from FRS developed an agent-based model to test how information sharing strategies impact collective decision-making.
Role of the board for organisational resilience
How does the board of directors contribute to organisational resilience? FRS researchers assessed the relative importance of its advisory and monitoring roles in times of crisis in a working paper.
Assessing Resilience of Europe's Natural Gas Network
FRS researchers used open-sourced information to access the disruption performance of the European Natural Gas Network, presenting a supply grade mapping for the case of Italy.
Assessment of electricity supply resilience
Researchers from FRS and the Paul Scherrer Institute have developed the Electricity Supply Resilience Index (ESRI) to measure electricity supply resilience in 140 countries.
Improving inter-regional energy resilience
FRS researchers developed a framework that can support policymakers in understanding the impact of energy production disruptions on the whole economy in Energy Economics.
Hazard assessment of energy accidents
FRS researchers present a classification model for sorting energy accidents in the natural gas sector into hazard classes, according to their potential fatalities.