activity
20202026
most citedPredicting discrete-time bifurcations with deep learning

36 citations · 54 across the 10 of their papers we have counts for

collaborators

13 papers

physics.soc-ph2026

Impacts of social and impact heterogeneity on social-climate outcomes

Amrita Punnavajhala, Brian Beckage, Madhur Anand +3

Regional heterogeneity in social characteristics, temperature change, and vulnerability to climate impacts is likely to influence the magnitude of anthropogenic climate change, but…

physics.soc-ph2025

Coupled opinion-environmental dynamics in polarized and prejudiced populations

Cameron Kerr, Madhur Anand, Chris T Bauch

Public opinion on environmental issues remains polarized in many countries, posing a significant barrier to the implementation of effective policies. Behind this polarization, empi…

physics.soc-ph2025

Space, time and altruism in pandemics and the climate emergency

Chris T. Bauch, Athira Satheesh Kumar, Kamal Jnawali +3

Climate change is a global emergency, as was the COVID-19 pandemic. Why was our collective response to COVID-19 so much stronger than our response to the climate emergency, to date…

physics.soc-ph2025

When Simple is Enough, Binary Models Capture Social Complexity in Coupled Human-Environment Systems

Yazdan Babazadeh Maghsoodlo, Madhur Anand, Chris T. Bauch

Models of coupled human-environment systems often face a tradeoff between realism and tractability. Spectrum opinion models, where social preferences vary continuously, offer descr…

physics.soc-ph2025

Implications of regional variations in climate change vulnerability and mitigation behaviour for social-climate dynamics

Amrita Punnavajhala, Timothy M. Lenton, Chris T. Bauch +1

How regional heterogeneity in social and cultural processes drive--and respond to--climate dynamics is little studied. Here we present a coupled social-climate model stratified acr…

cs.LG2025

Echoes Before Collapse: Deep Learning Detection of Flickering in Complex Systems

Yazdan Babazadeh Maghsoodlo, Madhur Anand, Chris T. Bauch

Deep learning offers powerful tools for anticipating tipping points in complex systems, yet its potential for detecting flickering (noise-driven switching between coexisting stable…

physics.comp-ph2025★ 1 cited

Neural models for prediction of spatially patterned phase transitions: methods and challenges

Daniel Dylewsky, Sonia Kéfi, Madhur Anand +1

Dryland vegetation ecosystems are known to be susceptible to critical transitions between alternative stable states when subjected to external forcing. Such transitions are often d…

math.DS2025

From Opinion Polarization to Climate Action: A Social-Climate Model of the Opinion Spectrum

Athira Satheesh Kumar, Krešimir Josić, Chris T Bauch +1

We developed a coupled social-climate network model to understand the interaction between climate change opinion spread and the climate system and determine the role of this intera…

math.DS2025

Social dynamics can delay or prevent climate tipping points by speeding the adoption of climate change mitigation

Yazdan Babazadeh Maghsoodlo, Madhur Anand, Chris T. Bauch

Social behaviour models are increasingly integrated into climate change studies, and the significance of climate tipping points for `runaway' climate change is well recognised. How…

physics.comp-ph2024★ 5 cited

Early Warning Signals for Bifurcations Embedded in High Dimensions

Daniel Dylewsky, Madhur Anand, Chris T. Bauch

Recent work has highlighted the utility of methods for early warning signal detection in dynamic systems approaching critical tipping thresholds. Often these tipping points resembl…

q-bio.QM2023★ 36 cited

Predicting discrete-time bifurcations with deep learning

Thomas M. Bury, Daniel Dylewsky, Chris T. Bauch +4

Many natural and man-made systems are prone to critical transitions -- abrupt and potentially devastating changes in dynamics. Deep learning classifiers can provide an early warnin…

physics.ao-ph2022

Universal Early Warning Signals of Phase Transitions in Climate Systems

Daniel Dylewsky, Timothy M. Lenton, Marten Scheffer +4

The potential for complex systems to exhibit tipping points in which an equilibrium state undergoes a sudden and often irreversible shift is well established, but prediction of the…

nlin.AO2020★ 12 cited

A well-timed switch from local to global agreements accelerates climate change mitigation

Vadim A. Karatayev, Vítor V. Vasconcelos, Anne-Sophie Lafuite +3

Recent attempts at cooperating on climate change mitigation highlight the limited efficacy of large-scale agreements, when commitment to mitigation is costly and initially rare. Bo…