FRS news channel
Gamifying City Decarbonisation
Researchers at Future Resilient Systems (FRS) build interactive learning and AI-driven insights to drive decarbonisation in the built environment.
Risk and Resilience Roundtable with ETH Risk Centre
28 Oct | Join FRS researchers at ETH Zurich for a roundtable discussion exploring the critical intersections of risk and resilience in today’s complex landscape.
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.
Building Resilience for Global Challenges at the International Conference on Resilient Systems (ICRS) 2024
A recap of key events and highlights at the recent international conference
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.
Impacts of the unprecedented global COVID-19 pandemic on social capital
Research from FRS examined if and how social distancing measures during the COVID-19 affected social capital in Singapore and Switzerland.
Call for Abstracts: IEEE Conference on Artificial Intelligence (IEEE CAI) 2024
Submit your abstracts by 6 May for the IEEE CAI conference!
Enhancing power grid safety through Robust Fault Location research
New research at FRS increases the efficiency and reliability of detecting issues in power networks.