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The MicroMacro Problem Göktuğ Morçöl Penn State University Presentation on the Panel Public Administration within Complex Adaptive Governance Systems ASPA Conference Baltimore MD March 2011 ID: 489391

problem macro social properties macro problem properties social emergence micro

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Slide1

Complexity Theory & The Micro–Macro Problem

Göktuğ

Morçöl

Penn State University

Presentation on the Panel “Public Administration within Complex, Adaptive Governance Systems,” ASPA Conference, Baltimore, MD, March 2011Slide2

Questions Posed by Panel Organizers

Of the questions posed by the panel organizers, I will address the following, indirectly:

What are the opportunities and challenges to

integrating complexity science into the field of public administration?” What existing theoretical frameworks are most amenable to analysis using complex adaptive systems approaches?What methodological constraints face those looking to apply complexity theory? What units of analysis are to be considered with complexity theory? How are boundaries of these units of analysis drawn? How can complexity theory address questions of scale (individual, group, institutional)?

2Slide3

My ArgumentsThe micro-macro problem is the core problem of complexity theory, particularly when it is applied to public policy processes.

Complexity theorists need to synthesize their own conceptual tools with those of some

social theories

. Social network analyses (SNA), agent-based simulations (ABS), and qualitative case studies (QCS) are (or can be) used to address this problem. 3Slide4

Outline of the DiscussionConcepts:A definition of public policy

Systems

The micro–macro problemEmergence as an answer

Structuration as the frameworkMethods:A typology of complexity methodsMicro–macro methods: SNA, ABS, QCS4Slide5

A Definition of Public PolicyFrom a complexity theory perspective public policies can be defined as follows:

Public policy is an

emergent and self-organizational

complex system. The relations among the elements (actors) of this complex system are nonlinear and its relations with its elements and with other systems are coevolutionary.5Slide6

SystemsThe term “system” does not have a universal definition.

The roots of the term “system” are in the Greek word

synhistanai, meaning “to place together” (Capra, 1996).

The term connotes interrelatedness of elements and integration as whole.6Slide7

SystemsIf public policies are systems:

They are

not

merely what rules (legislations, ordinances, etc.) spell out.They are not tools of governments.There is no direct causal link between the legislation and “policy outcomes.”

7Slide8

SystemsA public policy is better conceptualized as the whole of the

activities

of and relations among

self-conscious, purposeful, and interdependent actors. Many individual and collective actors act upon their interpretations of the principles and rules—interpretations that are influenced by social construction processes and self-interests of actors.Their actions together constitute a policy system.

8Slide9

SystemsSystem integration:

Actors in a policy system are not necessarily all in one place or in direct contact with each other.

Actors usually are in

different locations and yet they are in interdependency relationships (typically resource interdependence)To the extent that the activities of individual actors and collectivities (organizations) are integrated (reciprocated and reproduced) across time and space, they constitute a social system. (Giddens, 1984) 9Slide10

Systems & Micro–Macro Problem

How are systems are integrated?

This is one aspect of a larger problem:

The micro –macro problem The micro–macro problem is the “central intellectual problem of the social sciences” (Coleman, 1992). 10Slide11

Micro–Macro ProblemOther names for the micro–macro problem:

The “

agency–structure problem

” (Bob Jessop)The “transformation problem” (European sociology)The “problem of aggregation” (Neoclassical economics)The “problem of social (public) choice” (Rational choice theories)The “collective action problem” (Rational choice theories)

11Slide12

Micro–Macro ProblemColeman’s (1986) definition of the micro–macro problem:

It is the process through which

individual preferences become collective choices and

individual actions become collective actions.Interest cleavages lead (or fail to lead) to overt social conflict.Simultaneous fear in members of a crowd turns into a mass panic. Dissatisfaction becomes a revolution Preferences, holdings of private goods, and the possibility of exchange create market prices

and a

redistribution of goods.

Individuals'

task performances

in an organization create a

social product.

12Slide13

Micro–Macro ProblemIntellectual roots of the micro–macro problem:

Coleman traces the roots of the micro–macro problem to:

Hobbes, Smith, Locke, Rousseau, and Mill.

Talcott Parsons posed this problem as the central problem of sociology and attempted to solve it with his theory of action in the 1930s.The problem remains unsolved .13Slide14

Micro–Macro ProblemAmong the prominent theories of policy processes, there are two that address directly the micro–macro problem:

Institutional Analysis and Development Framework (IAD) (

Elinor

Ostrom)Advocacy Coalition Framework (ACF) (Paul Sabatier)14Slide15

Micro–Macro ProblemThe models of the IAD Framework

(

Elinor Ostrom

)15Slide16

Micro–Macro ProblemThe models of the IAD Framework

(

Elinor Ostrom

)16Slide17

Micro–Macro ProblemThe model of the ACF (Paul Sabatier)

17Slide18

Emergence What is complexity theory’s answer to the micro–macro problem?

Emergence

Common conceptualizations of emergence:

A system emerges from the relationships of policy actors.The properties of the emergent system is more than a simple sum of the effects of their behaviors.18Slide19

Emergence Actually, there are three interrelated questions in understanding emergence:

Do (How do) systemic (structural) properties emerge from the interactions among actors? (process of emergence)

Once emerged, do emergent properties exist separately of the properties of individuals? (irreducibility)

Do (How do) emergent properties have causal effects on the behaviors of individuals? (social causation, downward causation)19Slide20

Emergence 1. Do (How do) emergent properties emerge from the interactions among actors?

Emergence is a “process whereby the

global behavior

of a system results from the actions and interactions of agents” (Sawyer, 2005, p. 2)Emergent structures are “stable macroscopic patterns arising from local interactions of agents” (Epstein & Axtell, 1996, p. 35).Macro patterns emerge “from the interaction of agents that follow relatively simple rules” (Anderson, 1999, p. 218).“Emergent macro properties persist despite continual turnover in their constituents” (Holland, 1998, p. 7).

20Slide21

Emergence 1. Do (How do) emergent properties emerge from the interactions among actors?

Mechanisms of emergence:

Differential persistence

: mechanism of the emergence of hierarchical organizations (Holland)Preferential attachment: mechanisms of the emergence of “scale-free network” (Barabási & Albert). 21Slide22

Emergence 1. Do (How do) emergent properties emerge from the interactions among actors?

Complexity Theorists simulated:

Emergence of cooperation

(Axelrod)Emergence of meta-agents (Axelrod)Emergence of culture (Epstein & Axtell ; Axelrod)22Slide23

Emergence

2.

Once emerged, do these emergent properties exist separately of the properties of individual actors? (irreducibility)

There is irreducibility in nature. Anderson (1992): The properties of liquid water emerge from the properties of atoms and molecules and not reducible to them.Kauffman (1995): Life is an emergent phenomenon that arises from the properties of molecules and not reducible to them. 23Slide24

Emergence

2.

Once emerged do these emergent properties exist separately of the properties of individual actors? (irreducibility)

Is there irreducibility in social life? The controversy: Sawyer (2005): Properties of societies are irreducible to those of individuals. Epstein (2006): The notion of irreducibility is deistic and unscientific.Holland (1998): “We can reduce the behavior of the whole to the lawful behavior of its parts, if we take the nonlinear interactions into account” (p. 122)24Slide25

Emergence

3.

Do (How do) emergent properties have causal effects on the behaviors of individuals? (social causation, downward causation)

Sociologists think so. Policy theorists do not pay attention to this question.This is a difficult question to answer empiricallyIt requires long-term, dynamic, and comprehensive investigations.25Slide26

Structuration Anthony

Giddens’s

(1984) structuration

theory provides a framework to address the three questions of emergence. It can help us understand the full circle of emerge: from the emergence of macro structures to downward causation. Giddens says: Social systems [including policy systems] are produced and reproduced by the knowledgeable activities of situated actors who draw upon rules and resources in the diversity of action contexts.26Slide27

Structuration

Giddens’s

concept of duality of structure:

The constitution of the agents and structures are not two independently given sets of phenomena, but a duality.The structural properties of social systems are both medium and outcome of the practices of social actors. Structure is not “external” to individuals.Structure is always both constraining and enabling. 27Slide28

Structuration & Policy SystemsStructural properties of policy systems emerge from the activities of individual and collective actors.

“Policy outcomes” have emergent structural properties.

They are

not linearly linked to the intentions or actions of any policy actors (including governments). But, nonlinear links can be established between intentions/actions and emergent structures (outcomes). (Holland)28Slide29

Structuration & Policy SystemsEmergent policy structures both constrain and enable:

The social construction processes among actors,

The actions of actors.

29Slide30

Methods of Complexity Theory: A Taxonomy Macro methods:

Time-series analyses

Phase portraits, attractors

Lyapunov exponents, Fourier Spectrum AnalysesSpatial correlationsSystems dynamics modelingRegression models Fractal geometryMicro-macro methods:Social network analysesAgent-based modelingQualitative case studies Micro methods Repertory Grids Cognitive Mapping Q Methodology

30Slide31

Methods of Complexity Theory: Micro–Macro MethodsSocial Network Analyses (SNA):Can be used to study both

micro (individual) properties

and macro (structural) properties

Units of analysis: Relations among actors and their attributesCentralization and power relations in networks, network stability and change, emergent structural properties can be studied LimitationsRelationships are categorized (simplified). Mainly a static methodological approach, but some dynamism can be added to analyses

31Slide32

Methods of Complexity Theory: Micro–Macro MethodsAgent-Based Simulations (ABS):Dynamic,

not static (unlike SNA)

Generative,” not deductiveCompatible with the definition of public policy I proposed (that public policy should be defined as an emergent, self-organizing, and coevolving complex system)Limitation: Artificial: Generalized assumptions about agents’ preferences and behavioral tendencies are used as inputs.32Slide33

Methods of Complexity Theory: Micro–Macro MethodsQualitative Case Studies (QCS):The “European School of Complexity” (the Dutch and Irish researchers)

Teisman

, G. R., van

Buuren, A., & Gerrits, L. (Eds.). (2009). Managing complex governance systems. London: Routledge. Rhodes, M.L., Murphy, J., Muir, J. & Murray J. A. (2011). Public management & complexity theory. London: Routledge. Important and necessary to gain contextual understanding of complex systems, but not sufficient. Should be used together with quantitative methodologies, like SNA and ABS

33Slide34

Methods of Complexity Theory: Micro–Macro MethodsIdeal Scenario:

Synthesize the empirical nature of SNA with the dynamism of ABS, to understand structural (macro) properties and their relations with individual (micro) properties.

There are those who attempted to synthesize SNA and ABS.

This synthesis yields an abstract understanding and leaves out the context.Use QCS to understand the context.34Slide35

ReferencesAnderson, P. (1999). Complexity theory and organization science, Organization Science, 10, 216-232.

Coleman, J. (1986). Social theory, social research, and a theory of action.

The American Journal of Sociology, 91

(6), 1309-1335. Coleman. J. (1992). In Mary Zey (Ed.), Decision making: Alternatives to rational choice models. Thousand Oaks, CA: Sage. Epstein, J. M. (2006). Generative social science: Studies in agent-based computational modeling. Princeton, NJ: Princeton University Press. Epstein, J. M., & Axtell, R. (1996). Growing artificial societies: Social science from the bottom up. Washington, D.C.: Brookings Institution Press.Giddens, Anthony. (1984). The constitution of society. Berkeley, CA: University of California Press.Holland, J. H. (1998). Emergence: From chaos to order. New York: Basic Books. Kauffman, S. (1995). At home in the universe: The search for laws of self-organization and complexity. New York: Oxford University Press.Sawyer, R. K. (2005).

Social emergence: Societies as complex systems

. Cambridge, UK: Cambridge University Press.

35