In my Introduction to Sociology course at Kent State University at Ashtabula, students are regularly encouraged to become more engaged citizens and to embrace the diversity of their economic, political, cultural, and community-based backgrounds to make the world they live in a better place, working together in the true spirit of democracy. A group of students decided to support the hard work of local merchants in Ashtabula Ohio to keep the community alive with great food, drink, local spirit and material goods. So, they held a cash mob on the Harbor Area down on Bridge Street.
Here is a fun video of the event put together by Tina Bihlajama and Frank Vaccariello--CLICK HERE
06/05/2012
27/04/2012
Pedaling Art 2012 Ohio City Bike CO-OP Art Show
Hello everyone! It is time for the annual Pedaling Art Show to benefit the awesome Ohio City Bicycle CO-OP. As the poster below explains, any art dealing with or using bicycles is welcome to be submitted for possible showing!
This year, as shown below, my daughter and I went down to the CO-OP to search through all the
wonderful recycled parts and decided to make bicycle jewelry.
We call our works Wheels & Gears Jewelry. We made over 20 pieces of bicycle jewelry--rings, bracelets and necklaces--all made from recycled bicycle parts. They will all sell for $15 to $20 dollars. What makes the pieces super cool is that they were all assembled entirely of bicycle parts. No welding or soldering involved.
We call our works Wheels & Gears Jewelry. We made over 20 pieces of bicycle jewelry--rings, bracelets and necklaces--all made from recycled bicycle parts. They will all sell for $15 to $20 dollars. What makes the pieces super cool is that they were all assembled entirely of bicycle parts. No welding or soldering involved.
24/04/2012
ArtCares 2012 Benefit and Art Auction for the AIDS Taskforce of Greater Cleveland
This Friday is ArtCares 2012, the annual art auction and party to benefit the AIDS Taskforce of Greater Cleveland. I have submitted my photo-assemblage of the West Side Market (as recently part of the Cleveland Hopkins Airport Art Show) to be auctioned--CLICK HERE TO SEE PHOTO. Come along and join the event!
23/03/2012
Case-Based Modeling and the SACS Toolkit: A Mathematical Outline
Over the last year Rajeev Rajaram and I finished our article mathematically outlining the SACS Toolkit, our new case-based method for modeling complex systems, particularly complex social systems.
It was published with the Springer journal, Computational and Mathematical Organization Theory, an excellent journal run/edited by Kathleen M. Carley Carnegie Mellon University, with a great editorial board.
CLICK HERE TO SEE THE ARTICLE
Much thanks to Jürgen Klüver and Christina Klüver for allowing us to present an earlier version of this paper during their session at the 8th International Conference on Complex Systems, hosted by the New England Complex Systems Institute.
It was published with the Springer journal, Computational and Mathematical Organization Theory, an excellent journal run/edited by Kathleen M. Carley Carnegie Mellon University, with a great editorial board.
CLICK HERE TO SEE THE ARTICLE
Much thanks to Jürgen Klüver and Christina Klüver for allowing us to present an earlier version of this paper during their session at the 8th International Conference on Complex Systems, hosted by the New England Complex Systems Institute.
14/02/2012
Case Based Method and Complexity Science, Part II (The SACS Toolkit)
In my previous post for February 2012--CLICK HERE TO SEE--I introduced the concepts of case-based complexity science and its methodological extension, case-based modeling--the twin concepts I use to describe the approach being developed by David Byrne, Charles Ragin and others for modeling and studying complex systems.
My goal here is to introduce the case-based complexity science method my colleagues and I have developed for modeling complex systems. Our case-based modeling technique is called the SACS Toolkit--which stands for the Sociology and Complexity Science Toolkit.
For a more thorough overview of the SACS Toolkit, including the papers and book chapters we have written on it, CLICK HERE
THE SACS TOOLKIT
The SACS Toolkit is a case-based, mixed-method, system-clustering, data-compressing, theoretically-driven toolkit for modeling complex social systems.
It is comprised of three main components: a theoretical blueprint for studying complex systems (social complexity theory); a set of case-based instructions for modeling complex systems from the ground up (assemblage); and a recommend list of case-friendly modeling techniques (case-based toolset).
The SACS Toolkit is a variation on David Byrne's general premise regarding the link between cases and complex systems. Byrne's view is as such:
Cases are the methodological equivalent of complex systems; or, alternatively, complex systems are cases and therefore should be studied as such.
The SACS Toolkit widens Byrne's view slightly. For the SACS Toolkit:
Complex systems are best thought of as a set of cases--with the smallest set being one case (as in Byrne's definition) and the largest set being, theoretically, speaking, any number of cases.
More specifically, for the SACS Toolkit, case-based modeling is the study of a complex system as a set of n-dimensional vectors (cases), which researchers compare and contrast, and then condense and cluster to create a low-dimensional model (map) of a complex system's structure and dynamics over time/space.
Because the SACS Toolkit is, in part, a data-compression technique that preserves the most important aspects of a complex system's structure and dynamics over time, it works very well with databases comprised of a large number of complex, multi-dimensional, multi-level (and ultimately, longitudinal) factors.
It is important to note, however, before proceeding, that the act of compression is different from reduction or simpli fication. Compression maintains complexity, creating low-dimensional maps that can be "dimensionally inflated" as needed; reduction or simplifi cation, in contrast, is a nomothetic technique, seeking the simplest explanation possible.
The SACS Toolkit is also versatile and consolidating. The strength, utility, and flexibility of the SACS Toolkit comes from the manner in which it is, mathematically speaking, put together. The SACS Toolkit emerges out of the assemblage of a set of existing theoretical, mathematical and methodological techniques and fi elds of inquiry--from qualitative to quantitative to computational methods.
The "assembled" quality of the SACS Toolkit, however, is its strength. While it is grounded in a highly organized and well defi ned mathematical framework, with key theoretical concepts and their relations, it is simultaneously open-ended and therefore adaptable and amenable, allowing researchers to integrate into it many of their own computational, mathematical and statistical methods. Researchers can even develop and modify the SACS Toolkit for their own purposes.
For a more thorough overview of the SACS Toolkit, including the papers and book chapters we have written on it, CLICK HERE
02/02/2012
Case Based Method and Complexity Science, Part I (Byrne, Ragin, Complexity and Case-Based Method)
Back in May of 2009 I interviewed David Byrne, who, along with Charles Ragin, has championed the usage of case-based method for modeling complex
systems. (CLICK HERE TO SEE INTERVIEW).
Ragin's work is generally referred to as case-comparative method, or, more specifically qualitative comparative analysis. It comes in two general forms, a crisp set and fuzzy set form. Byrne's work builds on Ragin. Over the last several years, Professor Byrne has emerged as a leading international figure in what most scholars see as two highly promising but distinct fields of study: (1) case-based method and (2) the sociological study of complex systems. An example of the former is Byrne’s Sage Handbook of Case-Based Methods (1)—which he co-edited with Charles Ragin, the most prominent figure in case-based method. An example of the latter is his widely read Complexity Theory and the Social Sciences (8).
Ragin's work is generally referred to as case-comparative method, or, more specifically qualitative comparative analysis. It comes in two general forms, a crisp set and fuzzy set form. Byrne's work builds on Ragin. Over the last several years, Professor Byrne has emerged as a leading international figure in what most scholars see as two highly promising but distinct fields of study: (1) case-based method and (2) the sociological study of complex systems. An example of the former is Byrne’s Sage Handbook of Case-Based Methods (1)—which he co-edited with Charles Ragin, the most prominent figure in case-based method. An example of the latter is his widely read Complexity Theory and the Social Sciences (8).
What scholars
(including myself and several of my colleagues) are only beginning to grasp, however, is the
provocative premise upon which Byrne’s work in these two fields (including his development of Ragin's ideas) is based. His premise, while simple enough, is
ground-breaking:
Cases are the methodological
equivalent of complex systems; or, alternatively, complex systems are cases and
therefore should be studied as such.
With
this premise, Byrne adds to the complexity science literature an entirely new
approach to modeling complex systems, alongside the current repertoire of
agent (rule-based) modeling, dynamical (equation-based) modeling, statistical
(variable-based) modeling, network (relational) modeling, and qualitative
(meaning-based) method.
The name of this new approach, I think, is best called case-based complexity science. My goal here, and in the next few posts for February 2012, is to discuss this new approach. I begin with a few definitions:
My colleagues, Frederic Hafferty and Corey Schimpf and I just finished a chapter that outlines the field of case-based complexity science for Martin and Sturmburg's forthcoming book, Handbook of Systems and Complexity in Health, Springer. CLICK HERE to read a section of a rough draft of the paper.
22/01/2012
I am truly an embodied mind, a socio-biological concert of self
In my Individual and Society course I typically spend the first couple weeks (amongst other things) grounding our understanding of human symbolic interaction in a wider scientific frame, by examining the scientific 'wonder' of how life emerged and how human beings came into existence--or, at least, our best current ideas on how things happened. From my perspective, it is hard to understand social interaction without an appreciation of its connection to our biological and environmental existence and the larger and smaller eco-complex systems in which we operate.
Anyway, to prepare for these lectures I often read general summaries of the latest developments in science, which give me useful ways to frame a lot of material in a quick way that focuses on the bigger picture. In preparation, one of my favorite books is Bill Bryson's A Short History of Nearly Everything.
One of the chapters that always gets me is on the emergence of life (Ch19) and its discussion of the incredible complex and self-organizing dance done by the mind-numbingly wide number and variety of living organisms that come together to make up the human body. I so easily forget that, as human beings, we are actually a collection of millions of smaller living and nonliving forms, from amino acids and proteins to mitochondria and bacteria and so forth.
Reading this material also reminds me that our conscious, brain-based cognition--that thing that calls itself I--has a certain astigmatism. Living daily life engaged in symbolic interaction, we forget that this thing we call our self (this self-reflexive, conscious I) is actually a small part of a very complex system that is comprised of millions of living organisms which, when combined in the right way, allow us to exist as a symbol making complex living system. In other words, i forget that a person, as a distinct form of structural organization, as a distinct type of living being, emerges out of, in part, a collection of smaller living beings.
I am truly an embodied mind, a socio-biological concert of self.
05/01/2012
50 Years of Information Technology
I recently ran across an excellent online historical overview of the last 50 years of information technology that I think is very well done. It was put together by Jacinda Frost. Check it out!
OnlineITDegree: 50 Years of Information Technology.
OnlineITDegree: 50 Years of Information Technology.
Proceedings of the Complexity in Health Group
The Center for Complexity in Health announces today the launching of their new white-paper outlet, the Proceedings of the Complexity in
Health Group.
The
PCCH is an annual publication designed both to showcase and provide a
publication outlet for some of the main avenues of research being conducted in
the Complexity in Health Group, Robert S. Morrison Health and Science
Building, Kent State University at Ashtabula. These areas include
medical professionalism, community health, allostatic load, school systems,
medical learning environments and case-based modeling—all explored from a
complexity science perspective.
The
studies published in the PCHG are generally comprehensive, in-depth
explorations of a topic, meant to provide a wider and more complete empirical
and theoretical backdrop for the specific studies that scholars involved in the
Complexity in Health Group (CHG) regularly publish in various disciplinary
journals. Such an outlet as the PCHG is useful given the conventions
(e.g., page constraints and narrowness of focus) typical of most research
periodicals, which make it very difficult to publish relatively complete
statements on a topic in complex systems terms. While PCHG studies
augment, acknowledge and cite CHG work published in other venues, each PCHG
study is an original, distinct manuscript. Finally, PCHG studies are
peer-reviewed. Prior to publication each study is sent to colleagues for
review and criticism to ensure the highest quality of published proceedings
possible.
PCCH
and all of its studies are the copyright © property of the Complexity in Health Group, Kent State University at Ashtabula.
Manuscripts published in the PCHG should be cited appropriately, as in the
following example:
Castellani, B., Rajaram, R., Buckwalter,
JG., Ball, M., and Hafferty, F. 2012. “Place and Health as Complex Systems: A Case Study
and Empirical Test.” Proceedings of the Complexity in Health Group,
Kent State University at Ashtabula, 1(1):1-35.
Our
first publication is an in-depth exploration of several key issues in
complexity science and its intersection with the study of community health--CLICK HERE TO DOWNLOAD.
First, how does one determine the empirical utility of defining a community as
a complex system? What unique insights emerge that could not otherwise be
obtained? Second, how does one conduct a litmus test of one’s definition
of a community as a complex system in a systematic manner—something currently
not done in the complexity science literature? Third, how does one use
the methods and techniques of complexity science to conduct such a litmus test,
in combination with conventional methods such as statistics, qualitative method
and historical analysis? In our study we address all three questions, as
pertains to a case study on the link between sprawl and community-level health
in a Midwestern county (Summit County, Ohio) in the United States and the 20
communities of which it comprised.
Definitional Test of Complex Systems
Back in the spring and summer of 2010 I posted a series of
discussions about the need for complexity scientists to do a better job
of comprehensively testing the empirical utility of their
definitions--see, for example, one of the posting by clicking here. My main argument was that:
1. Most complexity science today explores only specific aspects of complex systems, such as emergence or network properties.
2. While only specific aspects are explored, these same scientists assume the full definition upon which they rely to be true in terms of their topic of study, but without empirical test.
3. The testing I recommend is not about determining if a topic is a complex system, which is useless as most things are complex systems. Instead, testing should focus on the empirical and theoretical utility of the definition used. In other words, does the definition yield new insights that could not otherwise have been obtained?
4. The testing I recommend should also link complexity method with definition. In other words, scientists need to explore how complexity methods (in particular, computational modeling, case-based modeling, qualitative method, etc) help to determine/demonstrate the empirical utility of defining a topic as a complex system.
At the end of my series of posts I argued that some sort of formal test was necessary that scholars could use to conduct such as test. Well, a year and a half later, here is our Definitional Test of Complex Systems.
The Definitional Test of Complex Systems:
The DTCS is our attempt at an exhaustive tool for determining the extent to which a complex system's definition fits a topic. The DTCS is not, however, a standardized instrument. As such, we have not normed or validated it. Instead, it is a conceptual tool meant to move scholars toward empirically-driven, synthetic definitions of complex systems. To do so, the DTCS walks scholars through a nine-question, four-step process of review, method, analysis, and results---see Table 2 above.
The DTCS does not seek to determine if a particular case fits a definition; instead, it seeks to determine if a definition fits a particular case. The challenge in the current literature is not whether places are complex systems; as it would be hard to prove them otherwise. Instead, the question is: how do we define the complexity of a topic? And, does such a definition yield new insights? Given this focus, Question 9 of the DTCS functions as its negative test, focusing on three related issues: the degree to which a definition (a) is being forced or incorrectly used; (b) is not a real empirical improvement over conventional theory or method; or (c) leads to incorrect results or to ideas already known by another name. Scholars can modify or further validate the DTCS to examine its further utility. Let us briefly review the steps of the DTCS:
STEP 1: To answer the DTCS's initial five questions, researchers must comb through their topic's literature to determine if and how it has been theorized as a complex system. If such a literature does exist, the goal is to organize the chosen definition of a complex system into its set of key characteristics: self-organizing, path dependent, nonlinear, agent-based, etc. For example, if our review of the community health science literature, we identified nine characteristics. If no such literature exists, or if the researchers choose to examine a different definition, they must explain how and why they chose their particular definition and its set of characteristics, including addressing epistemological issues related to translating or transporting the definition from one field to another.
STEP 2: Next, to answer the DTCS's sixth question, researchers must decide how they will define and measure a definition and its key characteristics. For example, does the literature conceptualize nonlinearity in metaphorical or literal terms? And, if measured literally, how will nonlinearity be operationalized? Once these decisions are made, researchers must decide which methods to use. As we have already highlighted, choosing a method is no easy task. So, scientists (particularly those in the social sciences) are faced with a major challenge: the DTCS requires them to test the validity of their definitions of a complex system, but such testing necessitate them to use new methods, which many are not equipped to use. It is because of this challenge that, for the current project, we employed the SACS Toolkit, which we discuss next. First, however, we need to address the final two steps of the DTCS.
STEP 3: Once questions 1 through 6 have been answered, the next step is to actually conduct the test. The goal here is to evaluate the empirical validity of each of a definition's characteristics, along with the definition as a whole. In other words, along with determining the validity of each characteristic, it must be determined if the characteristics fit together. Having made that point, we recognize that not all complexity theories (particularly metaphorical ones) seek to provide comprehensive definitions; opting instead to outline the conditions and challenges. Nonetheless, regardless of the definition used, its criteria need to be met.
STEP 4: Finally, with the analysis complete, researchers need to make their final assessment: in terms of the negative test found in question 9 and the null hypothesis of the DTCS, to what extent, and in what ways is (or is not) the chosen definition, along with its list of characteristics, empirically valid and theoretically valuable?
1. Most complexity science today explores only specific aspects of complex systems, such as emergence or network properties.
2. While only specific aspects are explored, these same scientists assume the full definition upon which they rely to be true in terms of their topic of study, but without empirical test.
3. The testing I recommend is not about determining if a topic is a complex system, which is useless as most things are complex systems. Instead, testing should focus on the empirical and theoretical utility of the definition used. In other words, does the definition yield new insights that could not otherwise have been obtained?
4. The testing I recommend should also link complexity method with definition. In other words, scientists need to explore how complexity methods (in particular, computational modeling, case-based modeling, qualitative method, etc) help to determine/demonstrate the empirical utility of defining a topic as a complex system.
At the end of my series of posts I argued that some sort of formal test was necessary that scholars could use to conduct such as test. Well, a year and a half later, here is our Definitional Test of Complex Systems.
The Definitional Test of Complex Systems:
The DTCS is our attempt at an exhaustive tool for determining the extent to which a complex system's definition fits a topic. The DTCS is not, however, a standardized instrument. As such, we have not normed or validated it. Instead, it is a conceptual tool meant to move scholars toward empirically-driven, synthetic definitions of complex systems. To do so, the DTCS walks scholars through a nine-question, four-step process of review, method, analysis, and results---see Table 2 above.
The DTCS does not seek to determine if a particular case fits a definition; instead, it seeks to determine if a definition fits a particular case. The challenge in the current literature is not whether places are complex systems; as it would be hard to prove them otherwise. Instead, the question is: how do we define the complexity of a topic? And, does such a definition yield new insights? Given this focus, Question 9 of the DTCS functions as its negative test, focusing on three related issues: the degree to which a definition (a) is being forced or incorrectly used; (b) is not a real empirical improvement over conventional theory or method; or (c) leads to incorrect results or to ideas already known by another name. Scholars can modify or further validate the DTCS to examine its further utility. Let us briefly review the steps of the DTCS:
STEP 1: To answer the DTCS's initial five questions, researchers must comb through their topic's literature to determine if and how it has been theorized as a complex system. If such a literature does exist, the goal is to organize the chosen definition of a complex system into its set of key characteristics: self-organizing, path dependent, nonlinear, agent-based, etc. For example, if our review of the community health science literature, we identified nine characteristics. If no such literature exists, or if the researchers choose to examine a different definition, they must explain how and why they chose their particular definition and its set of characteristics, including addressing epistemological issues related to translating or transporting the definition from one field to another.
STEP 2: Next, to answer the DTCS's sixth question, researchers must decide how they will define and measure a definition and its key characteristics. For example, does the literature conceptualize nonlinearity in metaphorical or literal terms? And, if measured literally, how will nonlinearity be operationalized? Once these decisions are made, researchers must decide which methods to use. As we have already highlighted, choosing a method is no easy task. So, scientists (particularly those in the social sciences) are faced with a major challenge: the DTCS requires them to test the validity of their definitions of a complex system, but such testing necessitate them to use new methods, which many are not equipped to use. It is because of this challenge that, for the current project, we employed the SACS Toolkit, which we discuss next. First, however, we need to address the final two steps of the DTCS.
STEP 3: Once questions 1 through 6 have been answered, the next step is to actually conduct the test. The goal here is to evaluate the empirical validity of each of a definition's characteristics, along with the definition as a whole. In other words, along with determining the validity of each characteristic, it must be determined if the characteristics fit together. Having made that point, we recognize that not all complexity theories (particularly metaphorical ones) seek to provide comprehensive definitions; opting instead to outline the conditions and challenges. Nonetheless, regardless of the definition used, its criteria need to be met.
STEP 4: Finally, with the analysis complete, researchers need to make their final assessment: in terms of the negative test found in question 9 and the null hypothesis of the DTCS, to what extent, and in what ways is (or is not) the chosen definition, along with its list of characteristics, empirically valid and theoretically valuable?
Place and Health as Complex Systems: A Case Study and Empirical Test
Back in the spring and summer of 2010 I posted a series of discussions about the need for complexity scientists to do a better job of comprehensively testing the empirical utility of their definitions--see, for example, one of the posting by clicking here. My main argument was that:
1. Most complexity science today explores only specific aspects of complex systems, such as emergence or network properties.
2. While only specific aspects are explored, these same scientists assume the full definition upon which they rely to be true in terms of their topic of study, but without empirical test.
3. The testing I recommend is not about determining if a topic is a complex system, which is useless as most things are complex systems. Instead, testing should focus on the empirical and theoretical utility of the definition used. In other words, does the definition yield new insights that could not otherwise have been obtained?
4. The testing I recommend should also link complexity method with definition. In other words, scientists need to explore how complexity methods (in particular, computational modeling, case-based modeling, qualitative method, etc) help to determine/demonstrate the empirical utility of defining a topic as a complex system.
At the end of my series of posts I noted that my colleagues and I were working on an article to address this issue, as pertains to the study of community health and school systems.
Well, a year and a half later, our study on community health is done--CLICK HERE TO DOWNLOAD IT. Here is the abstract:
------------------------------------------------------------------------
Abstract: Over the last decade, scholars have developed a complexities of place (COP) approach to the study of place and health. According to COP, the problem with conventional research is that it lacks effective theories and methods to model the complexities of communities and so forth, given that places exhibit nine essential "complex system" characteristics: they are (1) causally complex, (2) self-organizing and emergent, (3) nodes within a larger network, (4) dynamic and evolving, (5) nonlinear, (6) historical, (7) open-ended with fuzzy boundaries, (8) critically conflicted and negotiated, and (9) agent-based.While promising, the problem with the COP approach, however, is that its definition remains systematically untested and its recommended complexity methods (e.g., network analysis, agent-based modeling) remain underused. The current article, which is based on a previous abbreviated study and its ”sprawl and community-level health” database, tests the empirical utility of the COP approach. In our abbreviated study, we only tested characteristics 4 and 9. The current article conducts an exhaustive test of all nine characteristics and suggested complexity methods.
Method: To conduct our test we made two important advances: First, we developed and applied the Definitional Test of Complex Systems (DTCS) to a case study on sprawl—a ”complex systems” problem—to examine, in litmus test fashion, the empirical validity of the COP’s 9-characteristic definition. Second, we used the SACS Toolkit, a case-based modeling technique for studying complex system that employs a variety of complexity methods. For our case study we examined a network of 20 communities (located in Summit County, Ohio USA) negatively impacted by sprawl. Our database was partitioned from the Summit 2010: Quality of Life Project.
Results: Overall, the DTCS found the COP’s 9-characteristic definition to be empirically valid. The employment of the SACS Toolkit supports also the empirical novelty and utility of complexity methods. Nonetheless, minor issues remain, such as a need to define health and health care in complex systems terms.
Conclusions: The COP approach seems to hold real empirical promise as a useful way to address many of the challenges that conventional public health research seems unable to solve; in particular, modeling the complex evolution and dynamics of places and addressing the causal interplay between compositional and contextual factors and their impact on community-level health outcomes.
1. Most complexity science today explores only specific aspects of complex systems, such as emergence or network properties.
2. While only specific aspects are explored, these same scientists assume the full definition upon which they rely to be true in terms of their topic of study, but without empirical test.
3. The testing I recommend is not about determining if a topic is a complex system, which is useless as most things are complex systems. Instead, testing should focus on the empirical and theoretical utility of the definition used. In other words, does the definition yield new insights that could not otherwise have been obtained?
4. The testing I recommend should also link complexity method with definition. In other words, scientists need to explore how complexity methods (in particular, computational modeling, case-based modeling, qualitative method, etc) help to determine/demonstrate the empirical utility of defining a topic as a complex system.
At the end of my series of posts I noted that my colleagues and I were working on an article to address this issue, as pertains to the study of community health and school systems.
Well, a year and a half later, our study on community health is done--CLICK HERE TO DOWNLOAD IT. Here is the abstract:
------------------------------------------------------------------------
Abstract: Over the last decade, scholars have developed a complexities of place (COP) approach to the study of place and health. According to COP, the problem with conventional research is that it lacks effective theories and methods to model the complexities of communities and so forth, given that places exhibit nine essential "complex system" characteristics: they are (1) causally complex, (2) self-organizing and emergent, (3) nodes within a larger network, (4) dynamic and evolving, (5) nonlinear, (6) historical, (7) open-ended with fuzzy boundaries, (8) critically conflicted and negotiated, and (9) agent-based.While promising, the problem with the COP approach, however, is that its definition remains systematically untested and its recommended complexity methods (e.g., network analysis, agent-based modeling) remain underused. The current article, which is based on a previous abbreviated study and its ”sprawl and community-level health” database, tests the empirical utility of the COP approach. In our abbreviated study, we only tested characteristics 4 and 9. The current article conducts an exhaustive test of all nine characteristics and suggested complexity methods.
Method: To conduct our test we made two important advances: First, we developed and applied the Definitional Test of Complex Systems (DTCS) to a case study on sprawl—a ”complex systems” problem—to examine, in litmus test fashion, the empirical validity of the COP’s 9-characteristic definition. Second, we used the SACS Toolkit, a case-based modeling technique for studying complex system that employs a variety of complexity methods. For our case study we examined a network of 20 communities (located in Summit County, Ohio USA) negatively impacted by sprawl. Our database was partitioned from the Summit 2010: Quality of Life Project.
Results: Overall, the DTCS found the COP’s 9-characteristic definition to be empirically valid. The employment of the SACS Toolkit supports also the empirical novelty and utility of complexity methods. Nonetheless, minor issues remain, such as a need to define health and health care in complex systems terms.
Conclusions: The COP approach seems to hold real empirical promise as a useful way to address many of the challenges that conventional public health research seems unable to solve; in particular, modeling the complex evolution and dynamics of places and addressing the causal interplay between compositional and contextual factors and their impact on community-level health outcomes.
09/12/2011
Steven Pinker versus Complexity Part II
In a previous post--click here to see--I discussed Pinker's new book The Better Angels of Our Nature: Why Violence has Declined in terms of the interest it holds for a complexity scientists working in the social sciences.
The main issue I concentrated on was his argument that, not only has violence decreased over the longue durée of human history and, more specifically, the last 20 years of globalization-induced history, but that this decrease is scale-free, from attitudes on spanking children to wars. I took issue with this argument, pointing out that it is probably much more scale-dependent and context-sensitive than he makes the argument to be. (Again, remember, in the spirit of Foucault's approach to polemics, the point of my posting on Pinker's book is to think from a complexity perspective to see if it fosters new ideas, not to tear down the work of someone else.)
I spent the next few days thinking, and I have another issue regarding this notion of violence being relatively scale-free that I wanted to address: the fact that Pinker's argument is variable-based--a perspective that case-based complexity scientists such as Charles Ragin and David Byrne, amongst others, seek to avoid. (To read more about their views, see their latest edited book, The Sage Handbook of Case-Based Methods.)
If you think about it, complex systems cannot be studied as a collection of variables. How, for example, do you study the adjacency or proximity (dissimilarity) matrix of a set of variables? Systems are made up of agents and structures and environmental forces (top-down, bottom-up, and any other direction you want to consider) which, together, are best conceptualized as cases: configurations of variables that, together, form a self-organizing emergent whole that is more than the sum of its parts, and is nonlinear, dynamic, path (context) dependent and evolving across time/space. Ragin goes even further: stop thinking of variables as variables; they are sets. Violence, for example, is not a variable. Violence is a set--fuzzy or crisp--into which cases represent degrees of membership. For example, thinking of Pinker's study, "war in the 1800s in Europe" is a case, along with another case such as "war in China in the 1800s." Both cases could be placed in the set "macro-level violence through war." Membership in the case could, at least initially, be defined in terms of basic rates, as Pinker uses, or converted into boolean or fuzzy set membership.
But the key point here is that they are different: they are each a case, a different, context-dependent case, which one will explore, in terms of their respective configurations, to find similarities and differences; and it is this comparative approach that will draw out the context-dependent causal similarities and differences amongst these cases. For example, in relation to Pinker's work, one may find that violence has gone down in both cases, but the reasons for the decrease in violence is different, based on differences in configuration.
Why is something like this important? Consider policy recommendations. Insensitivity to configurational differences, context and, ultimately complexity is the failure of much policy--see, for example, Applying Social Science by Byrne.
Following this argument, violence, as a complex system, reconfigured at multiple levels of scale, can be defined as a set, comprised of multiple sub-sets, each representing a type and scale of violence, from the macro to the micro. Each set is comprised of cases, which are configurations, which take into consideration context and difference. Such an approach allows one to talk about violence in a much more sophisticated way. For example, one could show how violence is increasing and decreasing, for example over time; contradictory trends. The macro-level violence of war in Europe during the 20th century is not the same thing as the macro-level violence of war in China or Africa or South America or between hunter and gathering tribes or war amongst smaller empires. They constitute different cases, different forms of macro-level violence. Studying violence this way allows us to ask much more specific questions: which forms of government or social organization in which particular contexts, for example, lead to less war? Which forms of government or social organization in which particular contexts lead to less micro-level, face-to-face violence? And, so forth.
The main issue I concentrated on was his argument that, not only has violence decreased over the longue durée of human history and, more specifically, the last 20 years of globalization-induced history, but that this decrease is scale-free, from attitudes on spanking children to wars. I took issue with this argument, pointing out that it is probably much more scale-dependent and context-sensitive than he makes the argument to be. (Again, remember, in the spirit of Foucault's approach to polemics, the point of my posting on Pinker's book is to think from a complexity perspective to see if it fosters new ideas, not to tear down the work of someone else.)
I spent the next few days thinking, and I have another issue regarding this notion of violence being relatively scale-free that I wanted to address: the fact that Pinker's argument is variable-based--a perspective that case-based complexity scientists such as Charles Ragin and David Byrne, amongst others, seek to avoid. (To read more about their views, see their latest edited book, The Sage Handbook of Case-Based Methods.)
Byrne's
work, for example, specifically focuses on the intersection of
complexity science and case-based method. The premise upon which his
work is based, while
simple enough, is ground-breaking: in the social sciences, cases are the
methodological equivalent of
complex systems; or, alternatively, complex systems are cases and
therefore
should be studied as such. With this
premise, Byrne adds to the complexity science literature an entirely new
approach to modeling complex systems, alongside the current repertoire
of agent
(rule-based) modeling, dynamical (equation-based) modeling, statistical
(variable-based) modeling, network (relational) modeling, and
qualitative
(meaning-based) method.
If you think about it, complex systems cannot be studied as a collection of variables. How, for example, do you study the adjacency or proximity (dissimilarity) matrix of a set of variables? Systems are made up of agents and structures and environmental forces (top-down, bottom-up, and any other direction you want to consider) which, together, are best conceptualized as cases: configurations of variables that, together, form a self-organizing emergent whole that is more than the sum of its parts, and is nonlinear, dynamic, path (context) dependent and evolving across time/space. Ragin goes even further: stop thinking of variables as variables; they are sets. Violence, for example, is not a variable. Violence is a set--fuzzy or crisp--into which cases represent degrees of membership. For example, thinking of Pinker's study, "war in the 1800s in Europe" is a case, along with another case such as "war in China in the 1800s." Both cases could be placed in the set "macro-level violence through war." Membership in the case could, at least initially, be defined in terms of basic rates, as Pinker uses, or converted into boolean or fuzzy set membership.
But the key point here is that they are different: they are each a case, a different, context-dependent case, which one will explore, in terms of their respective configurations, to find similarities and differences; and it is this comparative approach that will draw out the context-dependent causal similarities and differences amongst these cases. For example, in relation to Pinker's work, one may find that violence has gone down in both cases, but the reasons for the decrease in violence is different, based on differences in configuration.
Why is something like this important? Consider policy recommendations. Insensitivity to configurational differences, context and, ultimately complexity is the failure of much policy--see, for example, Applying Social Science by Byrne.
Following this argument, violence, as a complex system, reconfigured at multiple levels of scale, can be defined as a set, comprised of multiple sub-sets, each representing a type and scale of violence, from the macro to the micro. Each set is comprised of cases, which are configurations, which take into consideration context and difference. Such an approach allows one to talk about violence in a much more sophisticated way. For example, one could show how violence is increasing and decreasing, for example over time; contradictory trends. The macro-level violence of war in Europe during the 20th century is not the same thing as the macro-level violence of war in China or Africa or South America or between hunter and gathering tribes or war amongst smaller empires. They constitute different cases, different forms of macro-level violence. Studying violence this way allows us to ask much more specific questions: which forms of government or social organization in which particular contexts, for example, lead to less war? Which forms of government or social organization in which particular contexts lead to less micro-level, face-to-face violence? And, so forth.
complexity art "Two Duche Bags; Or, Toast This"
Eames Documentary
I am a huge fan of the work of Charles and Ray Eames and have been waiting for their complexity science, postmodern equivalent. Anyway, my wife sent me this link to a new documentary on them. It looks great:http://www.midcenturia.com/2011/10/eames-architect-and-painter-film.html
27/11/2011
Steven Pinker Versus Complexity
The evolutionary psychologist, Steven Pinker has published a new book: The Better Angels of Our Nature: Why Violence has Declined. I came across a review of the book in the Dec/Jan 2012 edition (Volume 18, Issue 4) of Book Forum, which, by the way, I thoroughly enjoy. It is a great periodical. CLICK HERE TO SEE THE REVIEW
I decided to quickly blog on the book because, given that this is a blog about complexity, I think Pinker’s book presents an interesting idea that works along with my previous posting about Andrew Wilson's website on complexity and psychology.
In a very ridiculous nutshell, Pinker's basic argument is that humans have progressed to a place of less violence, thanks in large measure to cultural and social forces impinging upon the better half of our evolved nature; "the better angles of our nature," as Lincoln famously stated.
Pinker's study has two historical foci: (1) the longue durée of human history and, more specifically, (2) the last 20 years of globalization-induced history.
Such a provocative thesis often requires careful review and critique. So, it is not a matter of Pinker simply being right or wrong. (As a side note, "Pinker, Right or Wrong?" seems to be the nature of most debates I have seen on the book, with little thinking in the grey area of, "hey, just how well does the model fit?")
As a complexity scientist, I am primarily interested in his notion that the world-wide decrease in violence has a scale-free character to it. Pinker argues that, from macro-level wars to micro-level views on spanking children, the world has become a less violent place both over the longue durée of human history and, more specifically, over the last 20 years of globalization-induced history.
I think further exploration of this argument is a great dissertation or study for a complexity scholar in history, anthropology, epidemiology or applied statistics to examine.
A note on method: Pinker is clear that his focus is physical violence, not violence as a metaphor for political, cultural or economic oppression. Violence as physical violence. His method of analysis is rather simplistic: rates (ratios expressed over time), computed as a basic prevalence--people harmed by violence divided by the total population. There are lots of epidemiological issues that emerge when one thinks of this approach, but we will confine ourselves to just two:
One of the immediate issues that emerges is that, as the world gets larger, large-scale violent events such as wars, by definition, decrease in their rate of harm. If there are several billion people on the planet and a world war emerges where several million people are killed, this comes across as not as bad as the Roman empire killing people in a much smaller world. Is it true, then, that, at a macro-level scale, we live in a less violent world? What, for example, if we used a network analysis approach and looked at degrees of separation. Even in a world of several billion people, are humans less separated from violence than they were 2 thousand years ago? Also, is there, perhaps, some sort of tipping point here, where the world, past a certain population threshold, becomes too large at the macro-level for people to inflict an increasing rate of violence?
And, as another issue, what about regional scale--here I am thinking of path dependency issues in terms of different complex socio-political systems bounded by particular geographies? Should one's focus be broken down into regions? For example, if one just studied Europe, would Pinker's thesis hold--particularly in terms of his argument that smart governments, not too corrupt and reasonably democratic lead to less violence? Or, is it that, at smaller levels of scale, more democratic government leads to less daily violence in the criminal justice system, people-to-people interactions, discriminatory violence, etc. But, at larger scales, particularly country to country, violence through war has not decreased? It is true that over the last 20 years macro-level violence has decreased. But, I am just not sure what to make of that phenomenon. Anyway, these are the sorts of questions that emerged in my head as I worked through Pinker's ideas.
Bottom line: I think Pinker has an interesting thesis, but I think a lot more work needs to be done before it is embraced. In particular, I think his topic is far too complex to be analyzed in terms of simple rates. It needs to be grasped in complex systems terms and truly examined for its scale-free character and regional context. My initial response is that Pinker's findings are more scale-dependent and context-sensitive than they initially seem. But, without conducting a study, it is nothing more than a conjecture on my part.
I decided to quickly blog on the book because, given that this is a blog about complexity, I think Pinker’s book presents an interesting idea that works along with my previous posting about Andrew Wilson's website on complexity and psychology.
In a very ridiculous nutshell, Pinker's basic argument is that humans have progressed to a place of less violence, thanks in large measure to cultural and social forces impinging upon the better half of our evolved nature; "the better angles of our nature," as Lincoln famously stated.
Pinker's study has two historical foci: (1) the longue durée of human history and, more specifically, (2) the last 20 years of globalization-induced history.
Such a provocative thesis often requires careful review and critique. So, it is not a matter of Pinker simply being right or wrong. (As a side note, "Pinker, Right or Wrong?" seems to be the nature of most debates I have seen on the book, with little thinking in the grey area of, "hey, just how well does the model fit?")
As a complexity scientist, I am primarily interested in his notion that the world-wide decrease in violence has a scale-free character to it. Pinker argues that, from macro-level wars to micro-level views on spanking children, the world has become a less violent place both over the longue durée of human history and, more specifically, over the last 20 years of globalization-induced history.
I think further exploration of this argument is a great dissertation or study for a complexity scholar in history, anthropology, epidemiology or applied statistics to examine.
A note on method: Pinker is clear that his focus is physical violence, not violence as a metaphor for political, cultural or economic oppression. Violence as physical violence. His method of analysis is rather simplistic: rates (ratios expressed over time), computed as a basic prevalence--people harmed by violence divided by the total population. There are lots of epidemiological issues that emerge when one thinks of this approach, but we will confine ourselves to just two:
One of the immediate issues that emerges is that, as the world gets larger, large-scale violent events such as wars, by definition, decrease in their rate of harm. If there are several billion people on the planet and a world war emerges where several million people are killed, this comes across as not as bad as the Roman empire killing people in a much smaller world. Is it true, then, that, at a macro-level scale, we live in a less violent world? What, for example, if we used a network analysis approach and looked at degrees of separation. Even in a world of several billion people, are humans less separated from violence than they were 2 thousand years ago? Also, is there, perhaps, some sort of tipping point here, where the world, past a certain population threshold, becomes too large at the macro-level for people to inflict an increasing rate of violence?
And, as another issue, what about regional scale--here I am thinking of path dependency issues in terms of different complex socio-political systems bounded by particular geographies? Should one's focus be broken down into regions? For example, if one just studied Europe, would Pinker's thesis hold--particularly in terms of his argument that smart governments, not too corrupt and reasonably democratic lead to less violence? Or, is it that, at smaller levels of scale, more democratic government leads to less daily violence in the criminal justice system, people-to-people interactions, discriminatory violence, etc. But, at larger scales, particularly country to country, violence through war has not decreased? It is true that over the last 20 years macro-level violence has decreased. But, I am just not sure what to make of that phenomenon. Anyway, these are the sorts of questions that emerged in my head as I worked through Pinker's ideas.
Bottom line: I think Pinker has an interesting thesis, but I think a lot more work needs to be done before it is embraced. In particular, I think his topic is far too complex to be analyzed in terms of simple rates. It needs to be grasped in complex systems terms and truly examined for its scale-free character and regional context. My initial response is that Pinker's findings are more scale-dependent and context-sensitive than they initially seem. But, without conducting a study, it is nothing more than a conjecture on my part.
13/11/2011
Psychology & Complexity Science Website
I recently came across this website via one of the Santa Fe listserves to which I belong. It is called: Notes from Two Scientific Psychologists A brave attempt to think out loud about theories of psychology until we get some
Here is how Andrew Wilson, one of the team of psychologists running this blog, explains their focus:
He studies "the perceptual control of action, with a special interest in learning. I had the good fortune to be turned onto the work of James Gibson, the dynamical systems approach and embodied cognition during my PhD at Indiana University. This non-representational, non-computational, radical embodied cognitive science is at odds with the dominant cognitive neuroscience approach, but provides an over-arching theoretical framework that I believe psychology is otherwise missing. My plan for my activity here is to review the theoretical and empirical basis for this approach, to organise my thoughts as I develop my research programme."
---------------------------
I just think this website is great! While my doctorate is in medical sociology, my masters is in clinical psychology, and my early research was in addiction. I love this website because it is pushing hard to move psychology in the direction of systems and complexity. For example, the idea that cognition is restricted to the brain (along with basic notions of a computational or representational mind) or that our embodied mind (which also has emotions, don't forget those things as well, along with intuitions, meaning making, immune system intelligence, etc) is not an emergent phenomenon, developmentally and bio-psychologically progressed through our symbolic interactions with our sociological and ecological systems, is (pun intended) mind-numbing. Just a little plug for symbolic interaction (going all the way back to Mead, Blumer, etc, etc) and neo-pragmatism (a good example is Rorty): these scholars, while not getting it always entirely right, have been pushing these ideas since the turn of the previous century and, in mass, for the past several decades!
anyway, check out the website.
Here is how Andrew Wilson, one of the team of psychologists running this blog, explains their focus:
He studies "the perceptual control of action, with a special interest in learning. I had the good fortune to be turned onto the work of James Gibson, the dynamical systems approach and embodied cognition during my PhD at Indiana University. This non-representational, non-computational, radical embodied cognitive science is at odds with the dominant cognitive neuroscience approach, but provides an over-arching theoretical framework that I believe psychology is otherwise missing. My plan for my activity here is to review the theoretical and empirical basis for this approach, to organise my thoughts as I develop my research programme."
---------------------------
I just think this website is great! While my doctorate is in medical sociology, my masters is in clinical psychology, and my early research was in addiction. I love this website because it is pushing hard to move psychology in the direction of systems and complexity. For example, the idea that cognition is restricted to the brain (along with basic notions of a computational or representational mind) or that our embodied mind (which also has emotions, don't forget those things as well, along with intuitions, meaning making, immune system intelligence, etc) is not an emergent phenomenon, developmentally and bio-psychologically progressed through our symbolic interactions with our sociological and ecological systems, is (pun intended) mind-numbing. Just a little plug for symbolic interaction (going all the way back to Mead, Blumer, etc, etc) and neo-pragmatism (a good example is Rorty): these scholars, while not getting it always entirely right, have been pushing these ideas since the turn of the previous century and, in mass, for the past several decades!
anyway, check out the website.
08/09/2011
Complexity, Professionalism, and the Hidden Curriculum
Just got back from the The Association for Medical Education in Europe Conference. AMEE "is a worldwide organisation with members in 90 countries on five continents. Members include educators, researchers, administrators, curriculum developers, assessors and students in medicine and the healthcare professions."
We did a pre-conference workshop on complexity method as applied to the topics of medical professionalism and the hidden curriculum. It went very well. My co-conspirators in presenting were:
1) Jim Price (Institute of Postgraduate Medicine, Brighton & Sussex Medical School, UK)
2) Susan Lieff (Centre for Faculty Development, Department of Psychiatry, University of Toronto, Canada)
3) Frederic Hafferty (Mayo Clinic, Rochester, Minnesota, USA)
4) John Castellani (Johns Hopkins University, USA)
We also had two student presentations using social networks to analyze medical education:
O B Nikolaus*, R Hofer, W Pawlina, B Castellani, P K Hafferty, F W Hafferty. “Social networks and academic help seeking among first year medical students.” The Association for Medical Education in Europe Annual Conference, Vienna Austria 2011.
Ryan E Hofer, O Brant Nikolaus, Wojciech Pawlina, Brian Castellani, Philip K Hafferty, Frederic Hafferty. “Peer-to-peer assessments of professionalism: A time dependent social network perspective.” The Association for Medical Education in Europe Annual Conference, Vienna Austria 2011
Overall, a very successful conference.
01/07/2011
Kent State University at Ashtabula Commerical
Check it out! i am in a commercial for our campus, Kent State University at Ashtabula. Very Cool! And for those in Northeastern Ohio, consider attending our campus.
CLICK HERE to see the commercial on YouTube
20/06/2011
Eighth International Conference on Complex Systems
This coming weekend i am going to the Eighth International Conference on Complex Systems in Boston. My colleagues Jürgen and Christina Klüver have put together a session on complex social systems.
Our session is Monday June 27th Evening Parallel Session 1/ Chair: Christina Kluever
Workshop: Mathematical Aspects of Social and Cognitive Complexity
Jürgen Klüver: Meaning, Information, and the Understanding of Ambiguity
Brian Castellani and Rajeev Rajaram: Social Complexity Theory: A Mathematical Outline
Dwight Read: Cultural Kinship as a Computational System: From Bottom-Up to Top-down Forms of Social Organization
Robert Reynolds and Yousof Gawasmeh: Evolving Heterogeneous Social Fabrics for the Solution of Real valued Optimization Problems Using Cultural Algorithms
Christina Stoica-Kluever: Solving problems of project management with a Self Enforcing Network (SEN)
Here is a program guide Wiki, complete with the list of presenters and abstracts of their presentations. CLICK HERE TO SEE THE PROGRAM
Our session is Monday June 27th Evening Parallel Session 1/ Chair: Christina Kluever
Workshop: Mathematical Aspects of Social and Cognitive Complexity
Jürgen Klüver: Meaning, Information, and the Understanding of Ambiguity
Brian Castellani and Rajeev Rajaram: Social Complexity Theory: A Mathematical Outline
Dwight Read: Cultural Kinship as a Computational System: From Bottom-Up to Top-down Forms of Social Organization
Robert Reynolds and Yousof Gawasmeh: Evolving Heterogeneous Social Fabrics for the Solution of Real valued Optimization Problems Using Cultural Algorithms
Christina Stoica-Kluever: Solving problems of project management with a Self Enforcing Network (SEN)
Here is a program guide Wiki, complete with the list of presenters and abstracts of their presentations. CLICK HERE TO SEE THE PROGRAM
Eighth International Conference on Complex Systems
This coming weekend i am going to the Eighth International Conference on Complex Systems in Boston. My colleagues Jürgen and Christina Klüver have put together a session on complex social systems. I will say more in my next post. Here i just wanted to advertise the conference. It has some amazing people attending.
FOR IMMEDIATE RELEASE
Monday June 13, 2011
World Scientific Leaders to Gather in Boston for Conference on the Complex World Around Us
Cambridge, MA --- The Eighth International Conference on Complex Systems, hosted by the New England Complex Systems Institute (NECSI), is coming to Boston June 26-July 1. ICCS 2011 is expected to bring together more than 400 researchers from around the world. They will be presenting more than 300 papers on topics ranging from food (Cuisines as Complex Networks) to dealing with destructive cults.
CNN Senior Vice President and Chief Innovation Officer David Bohrman, inventor of the Magic Wall and other CNN data visualization techniques, will give the opening conference reception presentation Sunday evening, June 26.
“Papers such as those presented at this conference provide a logical approach that helps policymakers predict results in fields ranging from healthcare to Middle East unrest to crowd control,” says Yaneer Bar-Yam, NECSI President. “The approach is a useful and much needed aid to decision-making.”
Among the many noteworthy presentations:
The Herbert A. Simon Award will be presented to banquet speaker Thomas Schelling, author of “Micromotives and Macrobehavior,” Nobel Laureate and Emeritus Professor of the University of Maryland and Harvard University.
"Model Error, Convexity and Skewness" is the topic of New York University Polytechnic Institute Distinguished Professor Nassim Taleb, best known as the author of "The Black Swan."
David Gondek of IBM’s Thomas J. Watson’s Research Center and a major force behind the new Jeopardy champion, Watson, will talk on machine intelligence algorithms.
Professor Jerome Kagan, Daniel and Amy Starch Research Professor of Psychology, Emeritus, at Harvard University, is one of the world's leading psychologists. He discovered behaviors in infants that predict behaviors later in life.
Princeton University Professor John Hopfield, one of the world’s foremost authorities on neural networks, will be presenting "Animal Behavior and Emergent Computational Dynamics," a paper describing how animal brains employ collective neuron behavior to achieve ‘thinking.’
Dr. Stephen Wolfram, distinguished scientist, inventor and business leader. Dr. Wolfram founded his own complexity science research organization and is the author of "A New Kind of Science," which advocates for computational systems to explain complexity in nature.
Tel Aviv University’s Professor Eshel Ben Jacob will speak about how bacteria collectively solve problems by forming a kind of multicellular brain, and will show movies of the bacteria solving optimization problems that cannot be solved by modern computers.
Professor Kunihiko Kaneko of Tokyo University will speak about the principles behind the evolution of multiple levels of biological organization: molecules, cells, organisms, and ecosystems.
The Santa Fe Institute's Distinguished Professor and former President Geoffrey West’s presentation, “The Complexity, Simplicity, and Unity of Living Systems from Cells to Cities: Towards a Quantitative, Unifying Framework of Biological and Social Structure, Organization and Dynamics," describes in mathematical terms how cities and other large social structures are merely 'large organisms', and the implications for growth, development, and potential collapse.
MIT's Human Dynamics Laboratory's Professor Alex 'Sandy' Pentland, DARPA Internet Grand Challenge winner and serial entrepreneur, will be presenting "How Social Networks Shape Human Behavior."
Boston University Professor of Physics, Chemistry and Bioengineering Eugene Stanley is a pioneer in interdisciplinary science and econophysics. His paper, "Economic Fluctuations and Statistical Physics: Quantifying Extremely Rare Events with Applications to the Present World Crisis," explores financial crises as extensions of normal events and not outliers.
The New England Complex Systems Institute is based in Cambridge, MA. A pioneer in the field of complex systems science, NECSI addresses questions previously considered to be outside of the realm of scientific inquiry. Its research draws on foundations from mathematics, physics, and computer science to solve pressing problems in such areas as economics, healthcare, education, military conflict, ethnic violence, and international development. Its goal is to expand the boundaries of knowledge and to solve problems of science and society.
The conference runs from June 26 to July 1. Details and registration (including press registration) are at www.necsi.edu.
08/05/2011
Wall Eye Gallery presents Pedaling Art (20 May 6:00pm to 11:00pm)
TRICYCLE by Brian Castellani
For local 'clevelandites,' come see one of my latest assemblages (a sneak peek of part of it shown above) at the Wall Eye Gallery (details above) dealing with my love of bicycles! It should be a great show!
sorry for taking so long to post
Hi Folks! Cowboy Bri here! Sorry it has been a while since i last posted anything worth reading or viewing, but complexity ideas, as you know, do not come easy. The past four months I have been working on a series of painting and photo assemblages as well as working with my friend and colleague, Rajeev Rajaram, on a mathematical outline of the SACS Toolkit--our case-based, methodological framework for modeling complex systems. This summer I plan on posting extensively on the SACS Toolkit and on my latest round of art. Hope you find them interesting!
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