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Integrative Topologies: Customizable Models for Crossdisciplinary Knowledge Integration
1University of Michigan and Laursen Evaluation & Design, USA.
This study introduces integrative topologies, a new structural approach to model how multiple knowledge integrations connect. This framework helps describe, plan, and evaluate complex crossdisciplinary work more effectively.
Area of Science:
- Philosophy of Science
- Interdisciplinary Studies
Background:
- Knowledge integration is crucial but poorly modeled in crossdisciplinary work.
- Existing approaches lack a context-crossing method for complex integration.
Purpose of the Study:
- Propose a novel structural approach, integrative topologies, to model connected integrations.
- Develop a versatile framework for diverse integrative practices and theories.
Main Methods:
- Drawing on the philosophy of interdisciplinarity.
- Developing rules for integrative pathways based on input-process-output models.
- Introducing weave, zipper, and chain topologies and their hybrids.
Main Results:
- Integrative topologies offer customizable models for connected integrations.
- The framework simplifies teaching, planning, facilitation, description, and evaluation of crossdisciplinary work.
- Provides a structured way to understand and represent complex knowledge combinations.
Conclusions:
- Integrative topologies offer a unified approach to understanding knowledge integration.
- This model facilitates more effective crossdisciplinary collaboration and research.
- Highlights future research directions in the philosophy of knowledge integration.
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