16/06/2016

You can Improve Public Health by Modeling It as Complex




The following video was recorded for my presentation on the importance of the computational and complexity sciences -- specifically methods -- for more effectively modeling and addressing public health and health services research in the 21st century.

My lecture took place on 26 June 2016 as part of the AcademyHealth Meetings in Boston, Massachusetts, USA.

In addition to a video of my lecture, I have provided here other key links and documents, including the following:


1. An additional link to my VIDEO PRESENTATION if the above video does not work.

2. A PDF of my POWERPOINT LECTURE

3. A link to my MAP OF THE COMPLEXITY SCIENCES

4. A link to our papers on CASE-BASED MODELING and CASE-BASED COMPLEXITY

5. A link to our book on PLACE AND HEALTH AS COMPLEX SYSTEMS

6. A link to our COMPLEXITY IN HEALTH AND INFRASTRUCTURE GROUP

7. A link to our INTERDISCIPLINARY MIXED METHODS SEMINAR IN UK

8. A link to our paper on ALLOSTATIC LOAD AS COMPLEX SYSTEM

9. A link to ROUTLEDGE COMPLEXITY IN SOCIAL SCIENCE Series

10. A link to our SIMULATION OF SUMMIT COUNTY










 

10/06/2016

Bringing the Complexity Sciences to AcademyHealth -- This Year's 2016 Conference in Boston

Washington, D.C. (June 8, 2016)— Today AcademyHealth announced five new Systems Science Scholars who will bring critical research expertise to bear on systems-level challenges affecting the nation’s public health.
“There is great potential for systems science to inform positive changes to the nation’s health care system,” said Kate Papa, director of AcademyHealth’s public and population health program. “This program gives us a unique opportunity to coordinate with other disciplines in health and create solutions for the multifaceted health care and public health issues we face as a nation. Systems science methodologies are well suited to address a range of health issues, and health services research would benefit from integrating systems science methodologies into its toolbox.”      
The Systems Science Scholarship is designed to stimulate systems-level approaches to complex social, behavioral, and environmental influences that contribute to ill health in the U.S. and ultimately contribute innovative solutions in overcoming them. While the field of health services and policy research has contributed a vast evidence base, systems science has not been used to its potential to inform changes to the nation’s health care system.
With support from The Robert Wood Johnson Foundation and a selection committee composed of leaders in both systems science and population health, five scholars were selected from a competitive and diverse pool of applicants.











07/06/2016

NEW! Routledge Complexity in social science series

My colleagues, David Byrne (Durham University, UK) and Emma Uprichard (University of Warwick, UK) and I are exited to announce the launch of our new Complexity in Social Science series with Routledge.

https://www.routledge.com/Complexity-in-Social-Science/book-series/CISS

And, best of all, we are looking for new manuscripts!!!!


For all inquiries and further information, please contact Emily Briggs, Editor for Social Science Research, Sociology, Criminology and Health Research (Social Science Research)

30/04/2016

A New Law for Complex Systems! Past the Power Law: The Limiting Law of Restricted Diversity and the 60/40 Rule

Over the past year we have worked on a series of articles which seek to provide a new way to measure the distribution of diversity in complex systems.  The result is a new way to measure complexity, called case-based entropy.  We published an article on this measure in Physica A.

In turn, we used this new measure to uncover a new limiting law that we found hidden in plain sight in a wide variety of skewed-right complex systems.  We call this limiting law restricted diversity, arguing that this law governs the distribution of diversity in skewed-right complex systems the same way the law of central tendency governs the distribution of diversity in normal distributions.

Even more compelling, restricted diversity can be rigorously measured in ways that far exceed the limits of the power law, revealing a 60/40 rule for skewed-right complex systems.  We just published these second two insights in a article in Complexity.

Below are the abstracts and links to the two papers:



Past the power law: Complex systems and the limiting law of restricted diversity

Probability distributions have proven effective at modeling diversity in complex systems. The two most common are the Gaussian normal and skewed-right. While the mechanics of the former are well-known; the latter less so, given the significant limitations of the power-law. Moving past the power-law, we demonstrate that there exists, hidden-in-full-view, a limiting law governing the diversity of complexity in skewed-right systems; which can be measured using a case-based version C of Shannon entropy, resulting in a 60/40 rule. For our study, given the wide range of approaches to measuring complexity (i.e., descriptive, constructive, etc), we examined eight different systems, which varied significantly in scale and composition (from galaxies to genes). We found that skewed-right complex systems obey the law of restricted diversity; that is, when plotted for a variety of natural and human-made systems, as the diversity of complexity --> infinity (primarily in terms of the number of types; but also, secondarily, in terms of the frequency of cases) a limiting law of restricted diversity emerges, constraining the majority of cases to simpler types. Even more compelling, this limiting law obeys a scale-free 60/40 rule: when measured using C, 60%(or more) of the cases in these systems reside within the first 40% (or less) of the lower bound of equiprobable diversity types—with or without long-tail and whether or not the distribution fits a power-law. Furthermore, as an extension of the Pareto Principle, this lower bound accounts for only a small percentage of the total diversity; that is, while the top 20% of cases constitute a sizable percentage of the total diversity in a system, the bottom 60% are highly constrained. In short, as the central limit theorem governs the diversity of complexity in normal distributions, restricted diversity seems to govern the diversity of complexity in skewed-right distributions.

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An entropy based measure for comparing distributions of complexity

This paper is part of a series addressing the empirical/statistical distribution of the diversity of complexity within and amongst complex systems. Here, we consider the problem of measuring the diversity of complexity in a system, given its ordered range of complexity types i and their probability of occurrence pi, with the understanding that larger values of i mean a higher degree of complexity. To address this problem, we introduce a new complexity measure called case-based entropy  Cc — a modification of the Shannon–Wiener entropy measure H. The utility of this measure is that, unlike current complexity measures–which focus on the macroscopic complexity of a single system–Cc can be used to empirically identify and measure the distribution of the diversity of complexity within and across multiple natural and human-made systems, as well as the diversity contribution of complexity of any part of a system, relative to the total range of ordered complexity types.








18/04/2016

New Case-Based Complexity and Case-Based Modeling Website

Our development of the new approach to modeling complex systems, known as case-based complexity, is gaining momentum.  My colleague, Rajeev Rajaram and I, for example, are already close to 30 papers on the topic.  But, as with most article publishing, they are scattered across a wide variety of journals.

HERE IS THE LINK

So, after repeated inquiries from colleagues for copies of our various papers, I thought it useful to create a website that included all of the papers my colleagues and I have written on the topic of case-based complexity and, more specifically case-based modeling, including a basic introduction to the concepts.


05/10/2015

New 2016 Version of Map of the Complexity Sciences

Hello all,
I have yet another new 2016 internet version of my map of the complexity sciences ready to go!  Lots more names and several new fields added.  Hope you enjoy!  And, it is all online with links to the internet!


02/12/2014




See my recent article in THEORY, CULTURE AND SOCIETY journal where I reflect on my fifteen years as a complexity scientist.

The article includes my TOP TEN things about complexity you may not know but should!
CLICK HERE




10/10/2014

A Review of Capra and Luisi's The Systems View of Life: A Unifying Vision

As of 2014, there has been much written in the complexity sciences on the all-purpose topics of complex systems and networks and their related scientific methods – I am thinking here, for example, of Byrne and Callaghan’s excellent “Complexity Theory and the Social Sciences” or Mitchell’s “Complexity: A Guided Tour.”

What really hasn’t been written, however, is a cohesive or comprehensive review of the content (the actual empirical outcome) of this cutting-edge research – which, in almost every way imaginable, is creating an entirely new view of human life and the global ecosystem that sustains it.

Enter Capra and Luisi’s new textbook “The Systems View of Life.”

For those new to the complexity science literature (or professors thinking about adopting this book for class), one couldn’t ask for a better writing partnership.  Capra, a physicist by training, is world-renown for this twin books on systems and complexity science (“The Web of Life” and “The Hidden Connections”), as well as his provocative assessment – from a philosophy of science perspective – of the limits of conventional, mechanistic science and the need for a new, holistic, ecologically responsible systems science (“The Tao of Physics,” “The Turning Point” and “The Science of Leonardo”).  In turn, Luisi is an internationally recognized professor of biochemistry and complexity science, having done primary research into such core issues as cellular autopoiesis and synthetic biology.  He is also well known for his in-depth academic books, as well as his two popular works, “The Emergence of Life” and “Mind and Life.”

Divided into three parts, “The Systems View of Life” is a compendium of all-things systems thinking and complexity science:

Part 1 (sections 1 and 2) is devoted to the philosophy of science, focusing on the historical shift from mechanistic thinking (dominated by reductionism, Newtonian mechanics, social physics and a Cartesian view of life) to systems thinking (dominated by the holism, networks, nonlinear mechanics, global network society, and a complex systems view of life).  Capra and Luisi are clear: mechanistic thinking is a victim of its own success, as it was so powerful in solving so many issues over the last hundred or so years that (now) it is simply assumed, almost by definition, that it can solve all current problems, which is wrong, as the problems of today, as Warren Weaver pointed out all the way back in 1948 (Science and Complexity), are complex systems problems.

For professors thinking about this textbook, Part1 is an important addition to the literature – here I am thinking of Hammond’s “The Science of Synthesis” and Klir’s “Facets of Systems Science” – as Capra and Luisi's chapters provide the historical backdrop missing from most introductions to the complexity sciences, helping students, as I already alluded to, understand why the sciences are shifting.

In Part 2 (the third section of the book), Capra and Luisi venture into entirely new territory, doing something (as I have already suggested in my opening remarks) yet to be done in the literature, let alone a textbook: they synthesize the empirical insights of the systems and complexity sciences into a new and cohesive view of life.  As they state in their introduction, “We present a unified systemic vision that includes and integrates life’s biological, cognitive, social, and ecological dimensions.”

The accomplishment of this task cannot be underestimated, as it is significant and should have a lasting impact, demonstrating just how visionary the complexity sciences can be – but only if time is given to their study (I am also thinking of students here) and to collecting and connecting up their insights.

Such a synthesis requires, however, a bit more effort than just connecting the dots – even though Capra and Luisi humbly suggest that this is all they are doing.  Instead, it requires a theoretical frame, which the individual empirical insights often lack.

For Capra and Luisi, the theoretical frame is a network-based view of life.  Networks provide, literally, the links from one topic to the next in their book, in a sort of “scale-free approach to knowledge,” where one moves freely from the human genome and human cognition to social organizations and cities to ecosystems and global society.

But, this is not where things end.  For Capra and Luisi, these links must extend beyond theory and empirical synthesis to application and policy – to helping the world become a better place, to the moral culpability of science and to doing the right thing!

While not by any means unanimously embraced, there is a global morality associated with a significant segment of the systems and complexity science community, which goes by a variety of names, from deep ecology and ecofeminism to post-humanism and global civil society.  Regardless of the term, the view is the same: we face, currently, as a global society, a significant number of complex systems problems, which can be better managed (or even solved) if the political, economic, scientific and public will to employ such a perspective exists!  If not, these problems will most likely be our doom – or, less dramatically, they will result in increased global disparity and inequality and, ecologically speaking, a significantly degraded and decompensated planet.

And so, in the final section of the book – Part 3 – Capra and Luisi employ the complex systems view of life to make sense of and, in turn, address the current list of global social problems we, as a global society, face: from population growth and climate change to economic sustainability and the development of a global civil society.

Again, for a science textbook, this is new territory.  Professors typically do not challenge students to think about the links between their science and the global world in which they live.  But that is, nonetheless, where our immediate future resides: we need our students, as the generation that will inherit all of these problems, to have the tools necessary to address them, and in a way that leads to a sustainable level of economic, political, cultural, and spiritual/existential wellbeing for the greatest number of people possible!  What more, in 500 pages or less, could a professor (or our students) want from a book devoted to making sense of the complex lives we currently live?   And so, whether you are teaching introduction to sociology or macroeconomics, cognitive psychology or cultural anthropology, microbiology or philosophy, it doesn’t matter; make this textbook part of your required reading list.

Our future depends upon it.



29/05/2014

"Intersections: Brian Castellani and Dante Rodriguez" Art Show June 20th – July 18th CWAL Gallery, Cleveland


I have an upcoming art show with a colleague of mine at the CWAL Gallery, located in the new 78th Street Galleries – a large space, with over 40 art galleries,  which is part of the newly renovated Gordon Park Art District on the west side of Cleveland http://www.gordonsquare.org/.  

It would be great to get folks to support the Cleveland art scene!!!!!! 
 
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Here is information about the show – in addition, I have attached the show’s flyer to this email
Intersections: A Show by Brian Castellani and Dante Rodriguez
June 20th  – July 18th  CWAL (Cleveland West Art League)
Opening Reception, Friday June 20th – 6pm to 10pm
Closing Reception, Friday July 18th – 6pm to 10pm
and open by appointment
LOCATION: 1305 W. 80th Street, First Floor Suite 110, Cleveland Ohio, 44102
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BRIAN CASTELLANI: Here is a link for folks to see some of the art I will be showing:
 
DANTE RODRIGUEZ: Here is a link for folks to see some of the art by my colleague: