Many real systems can be modeled as networks, where the elements of the system are nodes and interactions between elements are edges. An even larger set of systems can be modeled using dynamical processes on networks, which are in turn affected by the dynamics. Networks thus represent the backbone of many complex systems, and their theoretical and computational analysis makes it possible to gain insights into numerous applications. Networks permeate almost every conceivable discipline —including sociology, transportation, economics and finance, biology, and myriad others — and the study of “network science” has thus become a crucial component of modern scientific education.

The school “Complex Networks: Theory, Methods, and Applications” offers a succinct education in network science. It is open to all aspiring scholars in any area of science or engineering who wish to study networks of any kind (whether theoretical or applied), and it is especially addressed to doctoral students and young postdoctoral scholars. The aim of the school is to deepen into both theoretical developments and applications in targeted fields.

Read the full article at: ntmg.lakecomoschool.org

The overwhelming majority of humanity lives in large-scale urbanized societies organized as states. This is an evolutionary novel condition—for over 90% of our history humans lived in small-scale societies of hunters and gatherers. This remarkable transformation of human societies is considered to be one of the Major Evolutionary Transitions. But this transition is not yet complete. Unlike biological organisms, or colonies of social insects, human societies are not “organismal-like”. There are huge differences in effectiveness of governance and economic performance among nations. Further, all complex societies (so far, without exceptions) have gone through recurrent integrative and disintegrative phases, marked first by cooperation and growth and then stasis/decline and increased internal violence and immiseration.

In the CSH Winter School 2023 we review fundamental organizational principles of complex human societies, states and cities, and study a wide range of integrative and disintegrative tendencies within them. Our focus is on the balance between centripetal forces, powered by selection on collectives (cities, states, and other polities) and centrifugal forces, arising from the “selfishness” of lower-level units within collectives (special interest groups, kinship networks, and corrupt leaders).

The school will bring together an international, interdisciplinary cast of lecturers and students to review and explore both theoretical and empirical directions currently advanced by different research groups. During the school students will gain exposure to new methods and approaches and develop small research projects on their own.

More at: www.csh.ac.at

Registration is open for the September 2022 Cohort!
“Learn Complexity by Doing” with a diverse cohort of global Participants. Guidance from world-class Facilitators, in a community of practice that meets monthly. Meet future collaborations from all countries, fields, domains, backgrounds, perspectives, and levels of familiarity with Complexity Science – everyone here shares a desire to learn about Complex System behavior by helping to solve the world’s toughest problems together. Your perspective is needed!

Read the full article at: www.complexityweekend.com

The field of complex systems, which is mathematically broad and interdisciplinary, concerns the study of individual entities that interact to produce collective dynamics.

Complex social systems include the spread of memes on Twitter, the adoption and evolution of opinions during political discourse, and the formation of social movements that can affect both norms and policy. In all of these examples, the interactions of individuals, as well as how they react to external forces and shape their environment, lead to emergent features. Uncovering these interactions and determining how behaviors affect group-level dynamics has important societal implications. Complex social systems also inspire the development of new methods and draw on many different areas, including computational social science, political science, economics, legal scholarship, mathematical and statistical modeling, data and network analysis, dynamical systems, probability, and scientific computation.

The intersection of society, data, and computation in complex social systems creates an inherently interdisciplinary problem space, with a need for community-building between experts from a variety of backgrounds (including many who may not traditionally participate in mathematics research). This MRC aims to introduce early-career researchers to complex social systems and to foster new collaborations among mathematical, computational, and social scientists. MRC participants will come from a wide variety of mathematical and computational subfields and disciplinary traditions. We will explore some of the key methods and applications in complex systems, and we will engage in interdisciplinary research to attack open questions ranging from theoretical problems that are inspired by complex systems to data-analysis projects in social justice.

Please note that you may apply to more than one MRC conference if they match your research interests. A separate application is needed for each one. However, you can only be selected as a participant in one conference.

Applications are being accepted on MathPrograms, with a deadline of February 15, 2023.

More at: www.ams.org

The Winter Workshop on Complex Systems is a one-week workshop where young researchers from all over the world gather together for discussing complex systems.
The primary focus of the workshop is for participants to engage into novel research projects.
This is the 8th edition of the WWCS and it will be held in Amsterdam from January 30th to Feb 3rd 2023.

More at: wwcs2023.github.io