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In the two previous Special Issues, the discussion was mainly confined to conceptualizations within the domain of complexity theories. In the present Special Issue—“Information and Self-Organization III”— the aim is to further extend the discussion on information and self-organization to several new directions: Firstly, to questions of life (e.g., in line with Schrödinger’s What is Life?) and of artificial life. Secondly, to other conceptualizations such as Bohm’s implicate, explicate, and generative orders (including his notion of active information); and/or to Bohr’s complementarity principle and its implications to the domains of life, brain, coordination dynamics and society. Thirdly, as in the previous Special Issues, the aim is to explore the consequences of the above extensions on several research domains, ranging from physics and chemistry through the life sciences and cognitive science to our understanding of society and economy. However, in this Special Issue, there is a special reference to the dynamics of cities and urbanization. More at: www.mdpi.com
The Complex Systems Society announces the ninth edition of the CSS Scientific Awards.
The Emerging Researcher Award recognizes promising researchers in Complex Systems within 3 years of the PhD defense.
The Junior Scientific Award is aimed at recognizing excellent scientific record of young researchers within 10 years of the PhD defense.
The Senior Scientific Award will recognize outstanding contributions of Complex Systems scholars at whatever stage of their careers.
Deadline: May 31st, 2023. More at: cssociety.org
This explorable illustrates beautiful dynamical patterns that can be generated by a simple game theoretic model on a lattice. The core of the model is the Prisoner’s Dilemma, a legendary game analyzed in game theory. In the game, two players can choose to cooperate or defect. Depending on their choice, they receive a pre-specified payoffs. The payoffs are chosen such that it seems difficult to make the right strategy choice. Read the full article at: www.complexity-explorables.org
FBK-CHuB is seeking a Researcher in the field of the classification, analysis and modelling of online disinformation spreading behaviour.
In particular, the candidate will be involved in a large European research project focused on the development of a platform tackling misinformation and disinformation across the EU by empowering scientific researchers and media practitioners with advanced AI-based technologies that: 1) allow multichannel (distinct online social media and news feeds), multilingual and multimodal (textual, visual and audio content) monitoring, detection and recording of misinformation and disinformation on online social media and traditional media; 2) estimate the risk of unreliable information consumption; 3) create a trustworthy online environment involving researchers, media practitioners and policy makers to facilitate the creation and distribution of reliable information and counter-narratives, while labelling and countering mis/disinformation. Read the full article at: jobs.fbk.eu
In high-income countries, the COVID-19 pandemic fostered the generation of surveillance data at spatial and temporal resolution unseen before, providing comprehensive and accurate estimates of cases, detection capability, hospitalizations and deaths. At the same time, data describing behavioral response, mobility, mixing and compliance to public health measures have also become available with similar level of detail. Such an exhaustive picture of the unfurling of a pandemic was a first in human history, made possible because we live in the digital age. It does not imply that epidemiological surveillance will remain this way in the future. As COVID-19 becomes less virulent with vaccination and acquired immunity, political pressure is shifting away from comprehensive detection of cases, and individual willingness to get tested may also be declining. At the same time, corporate commitment to make proprietary data on human behavior available to scientific research (e.g., mobile phone data) is waning. This underpins the main scientific goal of this project: can we use the experience of "wartime" COVID-19 surveillance during years2020-2022 to improve epidemic understanding in the future "peacetime" period ? Typical data available for surveillance in peacetime is scarcer, for example syndromic surveillance for influenza and other respiratory viruses as reported in networks of general practitioners (GP), with limited virological confirmation. Other data sources, including participatory surveillance and drug sales, may complement such reports, but are less specific. Importantly, during the first 2 years of COVID-19, the aforementioned high-resolution data and the scarcer traditional data sources were observed together. We wish to exploit this overlap to build statistical and mathematical models that will extract more and better information from peacetime surveillance data. Specifically, we aim at generating estimates of incidence, severe cases, reproductive number that are better than those previously available in terms of spatial resolution, temporal resolution, predictive power (ability to make short-term forecasts and mid-term projections of epidemic activity). We will make use of AI/ML techniques to come up with models with which transfer of knowledge, for example from the dynamics of COVID-19 to that of Influenza, or from drug sales data to influenza, from mobility to infectious spread will make it possible to improve accurate estimation of influenza incidence and short term prediction. The impact of this project will be thus twofold. First, we will improve the knowledge and predictability of seasonal epidemic waves of airborne, directly transmitted pathogens. Second, we will provide with policymakers with new tools to inform public health response to seasonal acute respiratory illness. More at: soundai.sorbonne-universite.fr
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How much misinformation you are exposed to? As part of our new paper in Nature Communications, we have build a web app and an API to measure misinformation from political elites on Twitter.
Give it a try! misinfoexpose.com
Find out how much misinformation you are exposed to.
This year’s laureates in the Economic Sciences, Ben Bernanke, Douglas Diamond and Philip Dybvig, have significantly improved our understanding of the role of banks in the economy, particularly during financial crises. An important finding in their research is why avoiding bank collapses is vital. Read the full article at: www.nobelprize.org
Alain Aspect, John Clauser and Anton Zeilinger have each conducted groundbreaking experiments using entangled quantum states, where two particles behave like a single unit even when they are separated. Their results have cleared the way for new technology based upon quantum information. Read the full article at: www.nobelprize.org
Dates: October 18 - November 18, 2022 Registration Opens: September 19, 2022 More at: necsi.edu
Centre for Theoretical Physics and Natural Philosophy (NAS) would like to invite applications for two postdoctoral positions. One position will be in cosmology with a particular focus on dark energy and modified gravity models. The candidate should have a PhD in either physics or in astrophysics with strong expertise and knowledge in both the theoretical and observational aspects of cosmology. Another position will be offered in complexity. The candidate should have a PhD in Physics with a prior experience in time series and network analysis together with a strong practical programming skill in statistical and/or machine learning data analysis. Initially, the position will be offered for one year and can be extended for two more years. Upon satisfactory performance, it may lead to a tenure track position. More at: na.mahidol.ac.th
Richard A. Watson A program for Earth Literacies May 17th to June 7th, 2022 Why are we fighting and exploiting each other? And why are we destroying the planet’s natural resources and the balance of the global ecosystems we ourselves depend on? How do we treat each other and the biosphere with more kindness and compassion? This course seeks to bring together the ideas of this new science and these worldviews to relieve the tension between self-interest and our impact on one another and the world around us. The focus will be both on presented material and what we can learn from each other to move into compassionate connection. The taught material will include slide presentations, with break-out room exercises, and opportunities to share reflections and to learn from one another in group discussion – and if Im feeling suitably brave and vulnerable, maybe a little guided visualisation to ‘feel into’ and invite the worldview we choose, and our role in it. More information at: www.richardawatson.com
Examples of self-organising systems can be found practically everywhere: a heated fluid forms regular convection patterns of Bénard cells, neuronal ensembles self-organise into complex spike patterns, a swarm changes its shape in response to an approaching predator, ecosystems develop spatial structures in order to deal with diminishing resources, and so on. Typically, self-organisation (SO) is defined as the evolution of a system into an organised form in the absence of external pressures. SO within a system brings about several attractive properties, in particular robustness, adaptability, and scalability. Consequently, a natural question to ask would be: Is it possible to guide the process of self-organisation towards some desirable patterns and outcomes? Over the last decades, it has become apparent that this question can be rigorously formalised across multiple domains, leading to the emergence of a new research field: Guided Self-Organisation (GSO). This has led to theoretical developments in information theory, network theory, dynamical systems, game theory, systems biology, and sociophysics, as well as practical applications in artificial intelligence, synthetic biology, unconventional computation, distributed robotics, and active matter. More at: www.mdpi.com
FBK-CHuB is seeking a Researcher in the field of the analysis and modelling of complex social systems.
In particular, the candidate will be involved in a research project focused on the modelling of the interaction between human and artificial agents in complex social scenarios. The work will include the exploration of the interaction of different typologies of actors, artificial or natural, acting following different goals and strategies in paradigmatical complex social scenarios such as ant colonies, flocks of birds or interaction models on networks, as well as in more realistic scenarios such as online communication (bots) or traffic (self-driving cars). More at: jobs.fbk.eu
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A satellite session is usually a half-day session or full-day session. Longer satellites (one and a half or two days) will not be considered. Each satellite is organized and managed by its own committee, although the coffee-breaks and lunch will be offered by the CCS organization. The satellite organizers are responsible for reviewing proposed papers and working with their presenters. The deadline for satellite proposals is April 27, 2023.
Organizers of successful proposals will be notified by May 19, 2023 More at: ccs2023.org
Employer: Rényi Institute of Mathematics
Place: Budapest, Hungary
Research theme: epidemic modeling, network science, graph theory, geometric networks, metapopulation models
Scientific directors: Dr. Márton Karsai (karsai.marton@gmail.com ) & Prof. Dr. László Lovász (laszlo.lovasz@ttk.elte.hu )
Network Epidemics Group @ Rényi Insitute
The Network Epidemics Group at the Rényi Institute works on the mathematical, computational, and data-driven modelling of dynamical epidemiological processes on graphs and networks. On one hand, the group plays special focus on the mathematical foundation of geometric network effects on evolving spreading processes, and on the other hand, on the data-driven simulations of epidemic processes to observe and understand real-world spreading phenomena. The group is led by Dr. Márton Karsai and Pr. László Lovász and functions as a member of the Health Security National Laboratory in Hungary.
Mission
It is a fundamental question in disease modeling how the structure and dynamics of social interactions and mobility mixing patterns influence an ongoing epidemic. These behavioral patterns can be effectively represented as networks, that provide effective tools for the mathematical and computational modelling of epidemic phenomena. They contribute to a better approximation that incorporates non-homogeneous mixing patterns within and between populations, which can build up into meta-population networks to describe how epidemics spread in countries or even around the globe.
The geometric structure and spatial organization of interaction and mobility networks play special roles in the emergence of a rich but largely unexplored set of spreading phenomena. One of these phenomena is the commonly observed spatial clustering of infection cases during the sub-sequent waves of the actual COVID-19 pandemic. While these phenomena can be related to the inhomogeneous spatial distribution of susceptible populations, local patterns of herd immunity or the different seeding scenarios of an actual wave, their emergence is substantially depending on the geometric nature of the underlying social and mobility networks.
In this project we aim to tackle this problem from two different directions:
Computational modelling of epidemic processes on geometric networks: to develop a spatially embedded meta-population framework, relying on data from Hungary, that is capable to reproduce rich class of spatially clustered patterns of infected cases in the country.
Mathematical modelling: to develop the mathematical foundation of these observed phenomena by identifying the fundamental graph properties of the underlying network structures that can induce the observed geometric patterns of infection clustering. Read the full article at: renyi.hu
Frontiers in Complex Systems publishes rigorously peer-reviewed quantitative research on Complex Systems, either theoretical, experimental, mathematical, computational or data description. Field Chief Editor Maxi San Miguel at the Institute for Cross-Disciplinary Physics and Complex Systems (IFISC) in Spain is supported by an outstanding Editorial Board of international experts. This open-access journal is to become the reference and natural publication outlet for the Complex Systems community at large, and to be at the forefront of disseminating and communicating scientific knowledge and technological innovation in the field to researchers, academics, entrepreneurs, companies, policy makers and the public worldwide. Frontiers in Complex Systems covers fundamental questions, theories and general methodologies on complex systems as well as the cross-disciplinary application of these concepts and methods, often giving rise to new disciplines. It provides a forum for cross-disciplinary communication and welcomes quantitative research from different fields including Physics, Mathematics, Computer Sciences, Artificial Intelligence, Engineering, Climate change, Economics and Finance, Social Sciences, Linguistics, Ecology, Neuroscience, Health Sciences, Epidemics, Mobility and Transport, City Science, etc. Submissions to Frontiers in Complex Systems are made to appropriate specialty sections, each of which devoted to a specific sub-field and having their own expert editorial board. Aligned with the cross-disciplinary scope of the journal, some of these sections are shared with other Frontiers journals, providing an enhanced visibility of the research in different scientific communities. More at: www.frontiersin.org
You will produce a simulation program demonstrating self-organizing logistic networks that become more circular and sustainable over time.
You will create novel research breakthroughs and contribute to the ambitious ERC Advanced Investigator Grant on “Co-Evolving City Life” (CoCi) in subject areas connected to smart cities and digital societies. Your research focus will be on “Sustainable Cities and Coordination”. Given recent digital technologies such as the Internet of Things (sensor and communication networks), Artificial Intelligence, and blockchain technology, one can expect that production, logistics, and even waste, are becoming increasingly smart. Ideally, you will study how the convergence of these technologies can be used to fuel new approaches towards more sustainable production and logistics in an urban context.
The research question we would like to answer is, how the approach of self-organized and federated, learning, networked multi-agent systems can be used to create socio-economic incentives that would promote the emergence of closed loops in a material supply network and could thereby boost the formation of a circular and sharing economy. We want to study, how a multi-dimensional real-time measurement, feedback and coordination system would have to be designed and operated in order to reach this goal.
Together with our team, you will work on the mechanisms and effects of multi-dimensional real-time coordination, perform related agent-based simulations, and work towards demonstrating the approach in an application project. It will be great to couple the simulation program with a sensor-based environment (Raspberry Pi or Arduino, or other) that responds to measurements, flexibly adapts, and self-organizes. You will be the key researcher addressing these challenges or a subset of them (please specify), collaborating with a highly motivated team.
More at: www.jobs.ethz.ch
WE NEED YOU! Would you like to be a tutor at the next edition of Complexity72h? Then you should apply to the call for tutors! Deadline: January 20th, 2023. More at: www.complexity72h.com
Binghamton University's Systems Science and Industrial Engineering Department is hiring to fill as many as six new faculty positions for Fall 2023! Areas relevant to complexity include: * Systems Science/ Complex Systems/ Network Science (1 position) * Computational Social Science/Biomedical Complexity/Epidemiology (1 position) * Autonomous Systems (1 position) * Energy Systems (1 position)
Please contact Hiroki Sayama (sayama@binghamton.edu) if interested. More at: www.binghamton.edu
The Nobel Prize in Chemistry 2022 is about making difficult processes easier. Barry Sharpless and Morten Meldal have laid the foundation for a functional form of chemistry – click chemistry – in which molecular building blocks snap together quickly and efficiently. Carolyn Bertozzi has taken click chemistry to a new dimension and started utilising it in living organisms. Read the full article at: www.nobelprize.org
Humanity has always been intrigued by its origins. Where do we come from, and how are we related to those who came before us? What makes us, Homo sapiens, different from other hominins?
Through his pioneering research, Svante Pääbo accomplished something seemingly impossible: sequencing the genome of the Neanderthal, an extinct relative of present-day humans. He also made the sensational discovery of a previously unknown hominin, Denisova. Importantly, Pääbo also found that gene transfer had occurred from these now extinct hominins to Homo sapiens following the migration out of Africa around 70,000 years ago. This ancient flow of genes to present-day humans has physiological relevance today, for example affecting how our immune system reacts to infections.
Pääbo’s seminal research gave rise to an entirely new scientific discipline; paleogenomics. By revealing genetic differences that distinguish all living humans from extinct hominins, his discoveries provide the basis for exploring what makes us uniquely human. Read the full article at: www.nobelprize.org
Xindi Wang, Onur Varol & Tina Eliassi-Rad Applied Network Science volume 7, Article number: 54 (2022) It is well known that networks generated by common mechanisms such as preferential attachment and homophily can disadvantage the minority group by limiting their ability to establish links with the majority group. This has the effect of limiting minority nodes’ access to information. We present the results of an empirical study on the equality of information access in network models with different growth mechanisms and spreading processes. For growth mechanisms, we focus on the majority/minority dichotomy, homophily, preferential attachment, and diversity. For spreading processes, we investigate simple versus complex contagions, different transmission rates within and between groups, and various seeding conditions. We observe two phenomena. First, information access equality is a complex interplay between network structures and the spreading processes. Second, there is a trade-off between equality and efficiency of information access under certain circumstances (e.g., when inter-group edges are low and information transmits asymmetrically). Our findings can be used to make recommendations for mechanistic design of social networks with information access equality. Read the full article at: appliednetsci.springeropen.com
Research at the Professorship of Computational Social Science (COSS) is focused on:
* bringing modelling and computer simulation of social processes and transportation phenomena together with technology, experimental, and data-driven work,
* combining the perspectives of different scientific disciplines (e.g., social science, computer science, complexity science and sociophysics),
* bridging fundamental and applied for work,
* developing digital tools to support people and studying the resulting behaviour. More at: www.jobs.ethz.ch
•Content: 3 Modules, each consisting of several videos
•Estimated: 4 work weeks, 1h per week
•Self-paced, progress at your own speed
•No cost to enrol
•Subject: Computer Science, Traffic Systems, Social Science
•Level: Introductory
•Language: English
•Target groups: Students, citizen scientists, politicians, journalists, researchers of different fields
(urban planners, architects, computer scientists)
•Recommended Reading: Helbing, Dirk. Next Civilization: Digital Democracy and Socio-Ecological Finance-How to Avoid Dystopia and Upgrade Society by Digital Means. Springer
Nature, 2021 Read the full article at: coss.ethz.ch
The Complex Systems Society announces the ninth edition of the CSS Scientific Awards. The CSS Emerging Researcher Award recognizes promising researchers in Complex Systems within 3 years of PhD completion. The Junior Scientific Award is aimed at recognizing excellent scientific record of young researchers within 10 years of PhD completion. The senior scientific award will recognize outstanding contributions of Complex Systems scholars at whatever stage of their careers. Deadline: May 31st, 2022. More at: cssociety.org
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