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Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

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Integrative Topologies: Customizable Models for Crossdisciplinary Knowledge Integration.

Bethany Laursen¹

¹University of Michigan and Laursen Evaluation & Design, USA.

Issues in Interdisciplinary Studies (Association for Interdisciplinary Studies)

|August 7, 2025

Summary

This summary is machine-generated.

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.

Keywords:

crossdisciplinary practice interdisciplinary studies knowledge integration philosophy of interdisciplinarity team science transdisciplinary research

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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.