Nonlinear and complex systems are abundant in natural, social, and economical sciences. Julia is at the forefront of software for such applications, with numerous packages and software organizations shaping the research frontiers. The goal of this minisymposium is to highlight recent research and software development that uses Julia to advance nonlinear and complex systems science. The minisymposium is broad in its scope: we welcome all community members that perceive themselves as working with all sorts of nonlinear and complex systems!
Introduction
Nonlinear and complex systems are abundant in natural, social, and economical sciences. A lot of global challenges, such as climate tipping points, or the correct operation of a decentralized power grid, rely on defining, simulating, and understanding, the behavior of such nonlinear and complex systems.
Julia as a programming language is uniquely positioned to address such problems: it brings user and developer at the center stage, allowing rapid code development; it provides the necessary computational performance to scale code to the required limits; and it already contains the top-of-the-class packages for nonlinear dynamics, nonlinear timeseries analysis, and other aspects of complex system simulations, such as DynamicalSystems.jl, ComplexityMeasures.jl, Agents.jl, and more.
In this minisymposium we come together to highlight this incredible software and the fantastic scientific progress it enables, as well as discuss direction on how to increase coherence and productivity in the community!
Topics of Interest
- Nonlinear dynamics, bifurcations
- Nonlinear timeseries and data analysis
- Chaos, predictability, uncertainty
- Critical transitions and multistability
- Complex networks and their modelling
- Agent based modelling for complex systems
- "Mixed modelling": combinations of differential, difference, agent-based, and other types of modelling
- Spatiotemporal dynamical systems
and anything else that you would consider nonlinear or complex systems!
Submission types
- Extensive talk (30 minutes including questions)
- Short talk (20 minutes including questions)
- Lightining talk (10 minutes including questions)
- Code tutorial/Workshop (30 minutes overall)
Objectives
- Promote recent progress in software for nonlinear and complex systems written in Julia
- Highlight scientific breakthroughs using such software
- Provide tutorials and other learning resources
- Identify gaps, potential collaborations, and ways to increase coherence
- Discuss on how to best establish open research practices which are overall lacking in the broader community of nonlinear and complex systems
Agenda
The minisymposium is organized in 2-hour blocks across a single track, with breaks in between.
The minisymposium will also have a non-recorded 2hour block on open discussions on how we can increase coherence in the ecosystem, a scouting step of identifying ongoing projects that could benefit by joining our effort, what tutorials/docs worth producing, open source and open research practices, and more. A dinner will also be organized for the minisymposium, open to participants and beyond.
Confirmed speakers
George Datseris (University of Exeter)
Maria Alejandra Ramirez (MPI Evolutionary Biology)
James Cass (University of Exeter)
Philipp Adämmer (Universität Greifswald)
Romain Veltz (Université Côte d'Azur)
Rey Boerner (Utrecht University)
Matt Owen (University of Bristol)
Hans Wuerfel (Potsdam Institute for Climate Impact Research)
Organizers
George Datseris (University of Exeter)
Maria Alejandra Ramirez (MPI Evolutionary Biology)
I am an applied physicist with a broad interest in nonlinear dynamics and complex systems and their application to understand the physical world at a conceptual level. My scientific interests focused in understanding the interaction of clouds, climate variability, and climate multistability, as well as developing new methodologies for nonlinear dynamics and nonlinear timeseries analysis. I am the lead dev for JuliaDynamics.