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As I’ve spent time exploring these small groups that achieve accelerating impact, I’ve become convinced that they are so important because they help us to address our emotional needs (our heartset) and ultimately to connect with others at a much deeper level (our spiritset) that can cultivate shared passion (specifically, the passion of the explorer). It’s about building deep and enduring (but also evolving) human connection. They do this by achieving a rich balance across dimensions that are often viewed as conflicting.
Via june holley
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Rescooped by
Liz Rykert
from Papers
December 2, 2019 8:30 AM
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Politicians, economists and even some natural scientists have tended to assume that tipping points in the Earth system — such as the loss of the Amazon rainforest or the West Antarctic ice sheet — are of low probability and little understood. Yet evidence is mounting that these events could be more likely than was thought, have high impacts and are interconnected across different biophysical systems, potentially committing the world to long-term irreversible changes.
Here we summarize evidence on the threat of exceeding tipping points, identify knowledge gaps and suggest how these should be plugged. We explore the effects of such large-scale changes, how quickly they might unfold and whether we still have any control over them.
In our view, the consideration of tipping points helps to define that we are in a climate emergency and strengthens this year’s chorus of calls for urgent climate action — from schoolchildren to scientists, cities and countries.
Via Complexity Digest
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Rescooped by
Liz Rykert
from Talks
November 3, 2019 1:46 PM
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Far-reaching conversations with a worldwide network of scientists and mathematicians, philosophers and artists developing new frameworks to explain our universe's deepest mysteries. Join host Michael Garfield at the Santa Fe Institute each week to learn about your world and the people who have dedicated their lives to exploring its emergent order: their stories, research, and insights…
Via Complexity Digest
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Rescooped by
Liz Rykert
from CxAnnouncements
October 19, 2019 1:00 PM
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Shannon famously applied his “mathematical theory of communication” to human communication, alledgedly having his wife, Betty, estimating word probabilities to calcualte the first approximation of the entropy of English. The following decades have seen creative further applications to humans and social processes (e.g., Miller, 1956; Attneave, 1959; Coleman, 1975; Ellis and Fisher, 1975; Cappella, 1979). These efforts lost steam in the 1980s, mainly because of the lack of adequate data, and limited computational power. Both limitations do not apply anymore. The increase in human interactions taking place in digital environments has led to an abundance of behavioral “big data”, enough even to calculate measures that converge rather slowly. This Special Issue compiles creative research on the innovative uses of information theory, and its extensions, to better understand human behavior and social processes. Among other topics, the focus is set on human communication, social organization, social algorithms, human–machine interaction, artificial and human intelligence, collaborative teamwork, social media dynamics, information societies, digital development, and cognitive and machine biases—all online and/or offline.
Via Complexity Digest
Santa Fe Institute’s Complexity Explorer lets the public dip into Complexity Science topics.
Via june holley
To address those questions we have created the Minimum Viable Community Canvas (MVC).
Nine key questions to set the foundational DNA for your community.
One page summary what your community stands for.
We created a Google Sheets template, so that community members can easily update and collaborate over time.
Via june holley
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Rescooped by
Liz Rykert
from Papers
September 16, 2019 9:23 AM
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Most information dynamics and statistical causal analysis frameworks rely on the common intuition that causal interactions are intrinsically pairwise -- every 'cause' variable has an associated 'effect' variable, so that a 'causal arrow' can be drawn between them. However, analyses that depict interdependencies as directed graphs fail to discriminate the rich variety of modes of information flow that can coexist within a system. This, in turn, creates problems with attempts to operationalise the concepts of 'dynamical complexity' or `integrated information.' To address this shortcoming, we combine concepts of partial information decomposition and integrated information, and obtain what we call Integrated Information Decomposition, or ΦID. We show how ΦID paves the way for more detailed analyses of interdependencies in multivariate time series, and sheds light on collective modes of information dynamics that have not been reported before. Additionally, ΦID reveals that what is typically referred to as 'integration' is actually an aggregate of several heterogeneous phenomena. Furthermore, ΦID can be used to formulate new, tailored measures of integrated information, as well as to understand and alleviate the limitations of existing measures. Beyond integrated information: A taxonomy of information dynamics phenomena Pedro A.M. Mediano, Fernando Rosas, Robin L. Carhart-Harris, Anil K. Seth, Adam B. Barrett
Via Complexity Digest
The Foundation for the Advancement of Social Theory (FAST) is a long-view, transdisciplinary organization dedicated to accelerating the advancement
Via june holley
The brain can’t directly encode the passage of time, but recent work hints at a workaround for putting timestamps on memories of events.
Via june holley
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Rescooped by
Liz Rykert
from CxConferences
January 9, 2019 8:47 AM
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The SFI Complex Systems Summer School (CSSS) offers an intensive 4-week introduction to complex behavior in mathematical, physical, living, and social systems. Lectures are taught by the faculty of the Santa Fe Institute (SFI) and other leading educators and scholars. The school is for graduate students, postdoctoral fellows, and professionals seeking to transcend traditional disciplinary boundaries, take intellectual risks, and ask big questions about complex systems.
The program consists of an intensive series of lectures, labs, and discussions focusing on foundational concepts, tools, and current topics in complexity science. These include nonlinear dynamics, scaling theory, information theory, adaptation and evolution, networks, machine learning, agent-based models, and other topical areas and case studies. Participants collaborate in developing novel research projects throughout the four weeks of the program that culminate in final presentations and papers. Begins: Jun 09 2019
Ends: Jul 05 2019 Deadline extension: now Thursday, January 31.
Via Complexity Digest
Complex challenges require us to up our game. We need to produce more ingenuity and fast. How? By learning the ten skills of agile strategy and collaborative leadership:…
Via june holley
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Rescooped by
Liz Rykert
from Network Leadership
May 9, 2018 9:24 AM
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The benefits of uncertainty include better decision-making, increased empathy, and increased creativity.
Via june holley
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Rescooped by
Liz Rykert
from Papers
December 16, 2019 12:42 PM
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David Castells-Graells, Christopher Salahub, Evangelos Pournaras Computing Bike usage in Smart Cities is paramount for sustainable urban development: cycling promotes healthier lifestyles, lowers energy consumption, lowers carbon emissions, and reduces urban traffic. However, the expansion and increased use of bike infrastructure has been accompanied by a glut of bike accidents, a trend jeopardizing the urban bike movement. This paper leverages data from a diverse spectrum of sources to characterise geolocated bike accident severity and, ultimately, study cycling risk and discomfort. Kernel density estimation generates a continuous, empirical, spatial risk estimate which is mapped in a case study of Zürich city. The roles of weather, time, accident type, and severity are illustrated. A predominance of self-caused accidents motivates an open-source software artifact for personalized route recommendations. This software is used to collect open baseline route data that are compared with alternative routes minimizing risk and discomfort. These contributions have the potential to provide invaluable infrastructure improvement insights to urban planners, and may also improve the awareness of risk in the urban environment among experienced and novice cyclists alike.
Via Complexity Digest
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Rescooped by
Liz Rykert
from networks and network weaving
November 9, 2019 10:19 AM
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MIT's Alex 'Sandy' Pentland explains ‘social physics’ - the analysis of human interactions to improve communities.
Via Complexity Digest, june holley
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Rescooped by
Liz Rykert
from CxAnnouncements
October 19, 2019 1:04 PM
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Complexity science, also called complex systems science, studies how a large collection of components – locally interacting with each other at small scales – can spontaneously self-organize to exhibit non-trivial global structures and behaviors at larger scales, often without external intervention, central authorities or leaders. The properties of the collection may not be understood or predicted from the full knowledge of its constituents alone. Such a collection is called a complex system and it requires new mathematical frameworks and scientific methodologies for its investigation.
Here are a few things you should know about complex systems,
result of a worldwide collaborative effort from leading experts, practitioners and students in the field.
Via Complexity Digest
Santa Fe Institute’s Complexity Explorer lets the public dip into Complexity Science topics.
Via june holley
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Scooped by
Liz Rykert
October 2, 2019 10:56 AM
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At SSIR’s 2019 Nonprofit Management Institute, presenters and participants addressed the economic and emotional anxieties facing civil society leaders and shared advice for moving forward with confidence.
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Rescooped by
Liz Rykert
from Papers
September 16, 2019 9:26 AM
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- The reality we perceive is not a direct reflection of the external objective world.
- Instead it is the product of the brain's predictions about the causes of incoming sensory signals.
- The property of realness that accompanies our perceptions may serve to guide our behavior so that we respond appropriately to the sources of sensory signals.
The Neuroscience of Reality Anil Seth Scientific American
Via Complexity Digest
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Rescooped by
Liz Rykert
from CxBooks
August 12, 2019 10:25 AM
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This thesis summarises my scientific contributions in the domain of network science, human dynamics and computational social science. These contributions are associated to computer science, physics, statistics, and applied mathematics. The goal of this thesis is twofold, on one hand to write a concise summary of my most interesting scientific contributions, and on the other hand to provide an up-to-date view and perspective about my field. I start my dissertation with an introduction to position the reader on the landscape of my field and to put in perspective my contributions. In the second chapter I concentrate on my works on bursty human dynamics, addressing heterogeneous temporal characters of human actions and interactions. Next, I discuss my contributions to the field of temporal networks and give a synthesises of my works on various methods of the representation, characterisation, and modelling of time-varying structures. Finally, I discuss my works on the data-driven observations and modelling of collective social phenomena. There, I summarise studies on the static observations of emergent patterns of socioeconomic inequalities and their correlations with social-communication networks, and with linguistic patterns. I also discuss dynamic observations and modelling of social contagion processes. Computational Human Dynamics
Márton Karsai
Via Complexity Digest
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Rescooped by
Liz Rykert
from CxBooks
July 11, 2019 10:46 AM
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The 2007–2008 financial crisis exposed the shortcomings of mainstream economic theory with economists unprepared to deal with it. In the face of this, a major rethinking of economics seems necessary and in presenting alternative approaches to economic theory, this book contributes to the rebuilding of the discipline. This volume brings together contributions from different perspectives and theoretical approaches that address the challenge of updating the economic theory corpus and seek to recover prestige for this discipline after the failure of neoclassical economics. It addresses a range of topics, including the complexity approach to economics, category theory, the Post-Keynesian approach to micro and macroeconomics, financialisation, multidimensional analysis and ecological economics. The book is aimed at economics scholars, researchers, academics and practitioners, as well as upper undergraduates and graduates in this area of knowledge. It may also be of interest for people interested in methodological issues in economics and the relationship between economic theory and the real world. Alternative Approaches to Economic Theory:
Complexity, Post Keynesian and Ecological Economics
Edited By Victor A. Beker
Via Complexity Digest
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Scooped by
Liz Rykert
February 5, 2019 9:59 AM
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This is a resource for anyone who wants to do things more creatively and collaboratively in their team or organization. It’s a collection of methods and activities, based on Hyper Island’s methodology, that you can start using today.
When was the last time you sat down with a pencil and paper and drew something? For many of us the answer is high school art class or that Paint and Sip evening you went to awhile back. Aside from professionals and a few dedicated hobbyists, few of us make time for sketching, doodling, or any other form of visual art in our lives.
But according to a fascinating new study, the right answer is whenever was the last time you tried to learn anything new. Put away the highlighter (really, science shows they're worse than useless) and skip the flash cards. The fastest way to cram new information into your brain is by drawing it, concludes the research.
Via John Evans
This week I had the privilege of joining the Fearless Cities conference, hosted by Barcelona en Comú, a citizen platform founded by 15M and PAH activists in 2014. The conference announced a global…
Via june holley
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