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Complexity perspectives on development

Explore the complexities of development through the lens of complexity theories and perspectives. Learn how interactions, non-linear dynamics, and self-organization impact development outcomes. Discover the significance of inclusive policies, diverse perspectives, and real-time learning in achieving sustainable development goals.

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Complexity perspectives on development

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  1. Complexity perspectives on development Claudia Maldonado Trujillo Center forResearch and Teaching in Economics

  2. Complexity theor(ies) “Contextual and embodied view of scientific knowledge.” Morçöl Artificial intelligence Punctuatedequilibria Non-linear studies Post-positivistapproaches Ecologicaltheories Agent- basedmodeling Network analysis Dynamicsystems Chaos theory Cognitivescience Adaptivesystemstheory

  3. Basic Tenets I. Systems interact with their environment: boundaries II. Components are interdependent: interactions III.Non-linearity and indeterminacy:minor changes can affect the system;grand schemes may not and viceversa. uncertainty

  4. Basic Tenets IV. Complex systems are self-organizing (e.g. Bottom up, loose networks, etc.) V. Perspectives included shape system through interactions. VI. Directioned development(s)/trajectories are elusive.

  5. What does it mean?

  6. Complex Thinking

  7. What does it mean for development policy? • Appropiation, adaptation and contingency. (diverseperspectiveskey, smallchanges can be revolutionary) • Focusoninteractions, notjustfactors. (Widerlens, finervision (e.g. contextsubtleties). • Boundariesmatter: whoand whatisconsidered in/ who and whatisleftbehind. • Processisoutcome. Sustainability as systemresiliency.

  8. Complexity and inclusion: elective affinity? • Multilevel, multistakeholdergovernancemodelin flux. • Developmentissociallyconstrued, whogets a saymatters! • Multipleperspectives & focusonreal-time learningtomeetgoals. • Feedbacks are multidimensional: strongyet flexible monitoringiscrucial. (eg. ITC)

  9. Any ideas? • Principledaction (equityand inclusion) vs. roadmaps. • Proto-Rawlsianstandardstoassessdevelopmentprogress (gender-sensitve and equity-basedparametersforevauation) • Dispersionmeasures vs. averagestomakeequityweight in, look forunderlyingfactors of structuralinequality. • Mixedmethods and disciplines, mixedactors, mixedindicators, mixedeverything. • Mobilize and transfer context-basedsharedknowledge.

  10. Good, bad & ugly • Unprecedented outreach behind SDGs. • Development networks: pivotal players for shift towards inclusion and equity (yes, all of you!) • Inclusive politics, technology & methodology can help but according to complexity theory, meeting targets is an “open question”, the plasticity of social systems is both a challenge and an opportunity.

  11. The challenge • Politics of boundaryexpansion and inclusion of diverseperspectives. • Ask difficultquestions: who are weleavingbehind/what are wemissing? • Look forpolicyambiguity and unanticipatedoutcomes/developments/interactions. • Combine softmeasureswithstandardindicators. • Acceptuncertainty and indeterminacy.

  12. Thank you! twitter: @cmaldona2 @clear_la

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