EPJ ST Highlight - An exploration of tipping in complex systems

This special issue examines the extensive landscape of research into tipping within complex systems, and provides guidance as to where the field will likely be headed in the future.

Complex systems can be found in a diverse array of real-world scenarios, but are unified by their ability to suddenly transition between drastically different patterns of behaviour. Known as ‘tipping,’ this type of transformation is generally triggered by small changes in the parameters of individual systems – whose effects can rapidly cascade to alter entire networks of interacting subsystems. This special issue of EPJ Special Topics explores the nature of tipping in complex systems through 21 new articles. Together, the studies reveal recent trends and directions of research within the field, and highlight the pressing challenges it will face in the future.

The relevance of tipping pervades many different areas of modern research: from environmental factors, including climate change, ecology, and seismology to socioeconomic areas, including psychology, social networks, and financial markets. The articles presented in this special issue are split into three broad areas: in the first part, they focus on the mechanisms that can induce tipping between different states. The second group of papers explores the measures that characterise tipping phenomena, and suggests strategies that could be used to control them. The final part presents several specific case studies of tipping in complex systems, such as traffic flows, precipitation patterns, and dust cloud instabilities.

The special issue ends by reviewing the potential applications of tipping in different contexts. Here, it examines how the effect could be harnessed for more efficient logic operations, while highlighting how measurements of fluctuations within stable systems could provide essential early warning systems – helping to avoid and mitigate the often-damaging consequences of tipping. Together, the 21 studies draw together many of the latest mathematical and computational methods used to capture the complexity of numerous interacting subsystems. Ultimately, they highlight a shift within the field towards a more collaborative landscape, combining the latest data-driven techniques of dynamical systems theory, adaptive and multilayer networks, and machine learning.

All articles are available here and are freely accessible until 23 January 2022. For further information read the Editorial by G. Ambika and J. Kurths, Tipping in complex systems: theory, methods and applications. Eur. Phys. J. Spec. Top. 230, 3177–3179 (2021).

This was our first experience of publishing with EPJ Web of Conferences. We contacted the publisher in the middle of September, just one month prior to the Conference, but everything went through smoothly. We have had published MNPS Proceedings with different publishers in the past, and would like to tell that the EPJ Web of Conferences team was probably the best, very quick, helpful and interactive. Typically, we were getting responses from EPJ Web of Conferences team within less than an hour and have had help at every production stage.
We are very thankful to Solange Guenot, Web of Conferences Publishing Editor, and Isabelle Houlbert, Web of Conferences Production Editor, for their support. These ladies are top-level professionals, who made a great contribution to the success of this issue. We are fully satisfied with the publication of the Conference Proceedings and are looking forward to further cooperation. The publication was very fast, easy and of high quality. My colleagues and I strongly recommend EPJ Web of Conferences to anyone, who is interested in quick high-quality publication of conference proceedings.

On behalf of the Organizing and Program Committees and Editorial Team of MNPS-2019, Dr. Alexey B. Nadykto, Moscow State Technological University “STANKIN”, Moscow, Russia. EPJ Web of Conferences vol. 224 (2019)

ISSN: 2100-014X (Electronic Edition)

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