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Prof. Carlos Gershenson Complex systems are characterized by interactions that may generate novel information. This information can change problems, so previous solutions become obsolete. To face complexity, we need adaptation. In this course, we will cover different methods for building systems that can adapt to unforeseen changes. Tuesdays and Thursdays, 10:00-11:30 AM, Mexico City Time. First Class: February 1st, 2022. The class is open and free for all students worldwide. Those who deliver successfully coursework and final project will receive a certificate. Details at: ac.gershenson.mx
The special issue “Autopoiesis: Foundations of Life, Cognition, and Emergence of Self/Other” is devised to host an interdisciplinary forum on scientific research based on autopoiesis and its role for undestanding life, cognition, the emergence of self/other, and related issues. It is open to various approaches, targets, and goals, all having autopoiesis as common denominator, sharing and applying its core concepts to face novel problems, perspectives, and activities. We suggest interested Authors to manifest their interest by contacting the special issue Editors, providing a title and (preferably) an extended abstract (around 500 words) about the topic they intend to approach and other methodological details before May 31, 2022. More at: www.journals.elsevier.com
The 2021 GESDA Science Breakthrough Radar provides an overview of science trends and breakthrough predictions at 5, 10 and 25 years in 24 science and technology areas, a synthesis of the related fundamental debates in society, and an exploration of opportunities for concerted action through initial contributions on the implications for international affairs, global challenges, and the SDGs. Read the full article at: radar.gesda.global
Lead instructors: Sarah Maurer and Chris Kempes This course aims to push the field of Origins of Life research forward by bringing new and synthetic thinking to the question of how life emerged from an abiotic world.
This course begins by examining the chemical, geological, physical, and biological principles that give us insight into origins of life research. We look at the chemical and geological environment of early Earth from the perspective of likely environments for life to originate.
Taking a look at modern life we ask what it can tell us about the origin of life by winding the clock backwards. We explore what elements of modern life are absolutely essential for life, and ask what is arbitrary? We ponder how life arose from the huge chemical space and what this early 'living chemistry' may have looked like.
We examine phenomena, that may seem particularly life like, but are in fact likely to arise given physical dynamics alone. We analyze what physical concepts and laws bound the possibilities for life and its formation.
Insights gained from modern evolutionary theory will be applied to proto-life. Once life emerges, we consider how living systems impact the geosphere and evolve complexity.
The study of Origins of Life is highly interdisciplinary - touching on concepts and principles from earth science, biology, chemistry, and physics. With this we hope that the course can bring students interested in a broad range of fields to explore how life originated.
The course will make use of basic algebra, chemistry, and biology but potentially difficult topics will be reviewed, and help is available in the course discussion forum and instructor email. There will be pointers to additional resources for those who want to dig deeper.
This course is a Complexity Explorer Frontiers Course. The goals of a Frontiers Course are to share the excitement and uncertainty of a scientific area, inspire curiosity, and possibly draw new people into the research community who can help this research area take shape. More at: www.complexityexplorer.org
The CSS promotes the Junior Scientific Award to recognize the excellence in the scientific career of young researchers in Complex Systems. It is awarded once a year to a maximum of two young researchers (up to ten years after PhD completion) who have achieved outstanding results in complexity science in any of the areas representative of the CSS. Read the full article at: cssociety.org
Tallinn University seeks to hire two Research Fellows in Cultural Data Analytics, particularly in (1) Audiovisual Machine Learning, and (2) Cultural Dynamics, to work on ambitious, high-impact research at the CUDAN ERA Chair (chair holder Prof. Dr. Maximilian Schich). Start of the employment contract: 01.07.- 01.09.2021, duration of the contract is up to 31.12.2023. Deadline of submitting the application documents is 31st May, 2021. Read the full article at: cudan.tlu.ee
We created a calendar to aggregate seminars and events from and for members of the Complex Systems Society. Please share and subscribe. You can access it here, or in iCal format. If you would like to add events to this calendar, please send me an email.
Collective Intelligence is a transdisciplinary journal devoted to advancing the theoretical and empirical understanding of group performance in diverse systems, from adaptive matter to cellular and neural systems to animal societies to all types of human organizations to hybrid AI-human teams and nanobot swarms. Editors-in-Chief: Jessica Flack, Panos Ipeirotis, Scott E Page & Geoff Mulgan https://dl.acm.org/journal/colint
Three Laureates share this year’s Nobel Prize in Physics for their discoveries about one of the most exotic phenomena in the universe, the black hole. Roger Penrose showed that the general theory of relativity leads to the formation of black holes. Reinhard Genzel and Andrea Ghez discovered that an invisible and extremely heavy object governs the orbits of stars at the centre of our galaxy. A supermassive black hole is the only currently known explanation.
The understanding of evolutionary processes is one the most important issues of scientific enquiry of this century. Scientific thinking in twentieth century witnessed the overwhelming power of the evolutionary paradigm. It not only solidified the foundations of diverse areas such as cell biology, ecology, and economics, but also fostered the development of several mathematical and computational tools to model and simulate how evolutionary processes take place. Besides the application of the evolutionary paradigm and the discovery of the evolutionary features for diverse processes, there is another interesting aspect which touches upon the emergence of novel evolutionary processes. Generally, the emergence of an evolutionary process requires a complex transition between a prior form where no evolutionary process is undergoing and a posterior form where the evolutionary process has been triggered. Most advanced methods to understand the emergence of evolutionary processes require the consideration of systemic features such as self-organization, resilience, and contextuality, among others.
Networks are ubiquitous in natural, technological and social systems. They offer a fertile framework for understanding and controlling the diffusion of ideas, rumors, and infectious diseases of plants, animals, and humans. Despite recent advances, many challenging scientific questions remain about the correct tools and their practical role in epidemics dynamics and effective strategies supporting public health decision making. The goal of this special issue is to offer a platform to the interdisciplinary community of scientists working on the diffusion process on networks and its plethora of applications. We hope for a broad range of topics to be covered, across theory, methodology, and application to empirical data with a special emphasis on epidemic spreading. Important dates
Expression of interest and abstract submission: July 10, 2020
Abstract feedback notification: July 13, 2020
Paper submission deadline: September 21, 2020
Target publication: November 01, 2020
During the transition from the year 2019 to the year 2020, the world was introduced to a new virus that commenced affecting its cities and the people residing in them.
March 11th 2020 marked the day that the WHO declared the world is coping with a pandemic.
Covid-19, the virus causing this pandemic, has spread extensively from Wuhan, China to cities like New York, Madrid, Moscow and Bergamo.
Cities are complex systems[1], and the entrance of an uninvited virus adds to their unpredictable, dynamic nature.
Some cities were put under lockdown, restricting the movement and economic activities of their citizens, while others did not wish interfering with the natural flow of urban life, imposing minimal limitations.
While cities around the world are adapting to the life alongside Covid-19, this unusual situation creates a fertile ground for contemplation about urban living during a pandemic and its aftermath.
TAU City Center invites students across the globe to share their thoughts and impressions on how their city has been affected by and coped with Covid-19.
This Project aims to display different perspectives reagrding urban living during the Covid-19 pandemic.
The Complex Systems Society announces the seventh edition of the CSS Scientific Awards. These awards are conferred once a year in two categories: the senior scientific award will recognize outstanding contributions of Complex Systems scholars at whatever stage of their careers, whereas the junior scientific award is aimed at recognizing excellent scientific record of young researchers (within 10 years of PhD completion). See https://cssociety.org/calls/64 and https://cssociety.org/calls/65. Deadline: June 15, 2020. See http://cssociety.org/community/css-awards for the list of previous awardees.
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The Complex Systems Society (CSS) organizes every year a main conference (CCS) - the most important annual meeting for the complex systems research community. The Complex Systems Society invites bids to host CCS2023. The conference is generally held in September/October of each year. The deadline for proposals submission is March 15, 2022. Read the full article at: cssociety.org
SFI Complexity Interactive (SFI-CI) combines the dynamic interactions of an in-person course with the flexibility to learn from anywhere in the world. This three-week, part-time, online course offers participants a theory- and applications-based view of complexity science. Complexity Interactive provides a foundation for thinking broadly about complex systems, encouraging participants to explore syntheses across systems in an open dialog with SFI faculty. The program's size is limited to ensure everyone has ample opportunity to discuss with faculty and with each other.
In 2022, the curriculum will explore scaling, robustness, and feedbacks, with a particular focus on sustainability and climate change. More at: www.santafe.edu
This year’s Laureates – David Card, Joshua Angrist and Guido Imbens – have provided us with new insights about the labour market and shown what conclusions about cause and effect can be drawn from natural experiments. Their approach has spread to other fields and revolutionised empirical research.
Many of the big questions in the social sciences deal with cause and effect. How does immigration affect pay and employment levels? How does a longer education affect someone’s future income? These questions are difficult to answer because we have nothing to use as a comparison. We do not know what would have happened if there had been less immigration or if that person had not continued studying.
However, this year’s Laureates have shown that it is possible to answer these and similar questions using natural experiments. The key is to use situations in which chance events or policy changes result in groups of people being treated differently, in a way that resembles clinical trials in medicine.
Using natural experiments, David Card has analysed the labour market effects of minimum wages, immigration and education. His studies from the early 1990s challenged conventional wisdom, leading to new analyses and additional insights. The results showed, among other things, that increasing the minimum wage does not necessarily lead to fewer jobs. We now know that the incomes of people who were born in a country can benefit from new immigration, while people who immigrated at an earlier time risk being negatively affected. We have also realised that resources in schools are far more important for students’ future labour market success than was previously thought.
Data from a natural experiment are difficult to interpret, however. For example, extending compulsory education by a year for one group of students (but not another) will not affect everyone in that group in the same way. Some students would have kept studying anyway and, for them, the value of education is often not representative of the entire group. So, is it even possible to draw any conclusions about the effect of an extra year in school? In the mid-1990s, Joshua Angrist and Guido Imbens solved this methodological problem, demonstrating how precise conclusions about cause and effect can be drawn from natural experiments.
“Card’s studies of core questions for society and Angrist and Imbens’ methodological contributions have shown that natural experiments are a rich source of knowledge. Their research has substantially improved our ability to answer key causal questions, which has been of great benefit to society,” says Peter Fredriksson, chair of the Economic Sciences Prize Committee. Read the full article at: www.nobelprize.org
The CSS promotes the Senior Scientific Award to recognize the scientific career of Complex Systems scholars. It is awarded once a year to members who have achieved outstanding results in complexity science in any of the areas representative of the CSS. Read the full article at: cssociety.org
This year the CSS launches a new award. The CSS Emerging Researcher Award recognizes promising researchers in Complex Systems. It is awarded once a year to up to two researchers who have made outstanding first steps in the complexity science research in any of the areas representative of the CSS.
Read the full article at: cssociety.org
Binghamton’s Systems Science graduate program is now officially registered by the New York State Education Department as a Distance Education program. You can complete your advanced degree in Systems Science (Master’s, PhD) fully online from anywhere in the world. More at: www.binghamton.edu
Many of us have used the notion of “self-organization” in our studies. What is it precisely, though? A constituent element could be, e.g., the emergence of non-trivial properties from comparatively simple rules. What would simple, non-trivial or complex emergence mean in this context? In this Special Issue, we invite viewpoints, perspectives, and applied considerations on questions regarding the notions of self-organization and complexity. Examples include: Routes: In how many different ways can self-organization manifest itself? Would it be meaningful, or even possible, to attempt a classification? Detection: Can we detect it automatically—either the process or the outcome? Or do we need a human observer to classify a system as “self-organizing”? This issue may be related to the construction of quantifiers, e.g., in terms of functions on phase space, such as entropy measures. Complexity: Is a system self-organizing only when the resulting dynamical state is “complex”? What does “complex” mean exact;ly? Are there many types of complexity, or just a single one? E.g., it has never been settled whether complexity should be intensive or extensive, if any. Domains: Where do we find self-organizing processes? Are the properties of self-organizing systems domain-specific or universal? In which class of systems does self-organization show up most clearly? Prof. Dr. Claudius Gros
Dr. Damián H. Zanette
Guest Editors
Read more at: www.mdpi.com
Emmanuelle Charpentier and Jennifer A. Doudna have discovered one of gene technology’s sharpest tools: the CRISPR/Cas9 genetic scissors. Using these, researchers can change the DNA of animals, plants and microorganisms with extremely high precision. This technology has had a revolutionary impact on the life sciences, is contributing to new cancer therapies and may make the dream of curing inherited diseases come true.
This year’s Nobel Prize is awarded to three scientists who have made a decisive contribution to the fight against blood-borne hepatitis, a major global health problem that causes cirrhosis and liver cancer in people around the world.
Harvey J. Alter, Michael Houghton and Charles M. Rice made seminal discoveries that led to the identification of a novel virus, Hepatitis C virus. Prior to their work, the discovery of the Hepatitis A and B viruses had been critical steps forward, but the majority of blood-borne hepatitis cases remained unexplained. The discovery of Hepatitis C virus revealed the cause of the remaining cases of chronic hepatitis and made possible blood tests and new medicines that have saved millions of lives.
Do you have the ambition to develop world class research in Theoretical Computer Science at the Informatics Institute, and together with the other new chair Theoretical Computer Science at the Institute for Logic, Language, and Computation form a strong and visible nucleus Theoretical Computer Science in our University? Are you willing to collaborate with other research groups, also within other faculties of the University, to seek relations with public or private partners, to be visible in the broader academic community, to teach theoretical computer Science in our bachelor/master programs and to take responsibility for all theory of computer science aspects of our educational programs?
We offer a position of full professor in Theoretical Computer Science in the Informatics Institute of the University of Amsterdam. This new chair is embedded in the Informatics Institute of the University of Amsterdam and will lead the Theory of Computer Science group. The chair holder should develop a unique profile within the Informatics Institute while interacting with one of more research groups within the Institute. The Institute for Logic, Language, and Computation of the University of Amsterdam will also establish a new chair in Theoretical Computer science, and both chair holders should build links and create a visible nucleus of Theoretical Computer science in Amsterdam, also together with VU and CWI.
The Observatory on Social Media (OSoMe, pronounced 'awe•some') at Indiana University is looking for a postdoctoral fellow to work at the intersection of computing, network, data, and media sciences with a focus on (mis/dis)information diffusion and the detection and countering of online manipulation.
The Department of Network and Data Science (DNDS) at the Central European University (CEU) carries out research in network science, with a special focus on the foundations and applications of network science to practical data-driven problems. A key element of the mission of DNDS is to work across disciplines to bring network and data science tools to many fields of the social sciences and related areas. DNDS translates these ideas into research projects - our faculty have won several major grants, from European Union and US funding agencies. DNDS offers a PhD Program and an Advanced Certificate Program in Network Science and will host a BA in Quantitative Social Sciences starting, presumably, in 2021. Data science tools and the network science approach offer a unique perspective to tackle complex problems, impenetrable to linear-proportional thinking. Building on decades of development of fundamental understanding of networks, the modern data deluge has opened up unprecedented opportunities to study and understand the structure and function of social, economic, political and information systems. Data-driven network science aims at explaining complex phenomena at larger scales emerging from simple principles of network link formation.
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