News & Events
Gamifying City Decarbonisation
Researchers at Future Resilient Systems (FRS) build interactive learning and AI-driven insights to drive decarbonisation in the built environment.
Understanding the Pulse of Singapore
Using social media data to analyse people's sentiments through Sophisticated AI Modelling.
FRS Launches ‘Impact Stories’ to Showcase its Research Outcomes
Future Resilient Systems (FRS) is excited to announce the launch of an Impact Stories series, an initiative aimed at showcasing the impacts of our research outcomes in science, practice and policy.
The social factors shaping community microgrid operation
Can residents in a community microgrid enjoy greater electricity quotas during blackouts by paying more? A new FRS study shows U.S. residents support market-based mechanisms even in life-and-death situations.
Resilience for a complex world: International Conference on Resilient Systems 2024
28-30 Aug | The Singapore-ETH Centre (SEC) with its Future Resilient Systems (FRS) programme will be hosting the International Conference on Resilient Systems (ICRS) 2024 in Singapore. Here's an overview of the research that will be presented.
Enhancing power grid safety through Robust Fault Location research
New research at FRS increases the efficiency and reliability of detecting issues in power networks.
FRS applications for better decision-making
FRS applications facilitate critical infrastructure and climate change investigation, measure resilience to what-if scenarios, and support decision-making.
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).
Contact:
Future Resilient Systems
Singapore-ETH Centre
1 Create Way, CREATE Tower, #06-01
Singapore 138602
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