Bridging Disciplines: Enhancing Mathematical Models for Complex Biological Processes through Interdisciplinary Insights

Abstract

Purpose: This study examines the role of interdisciplinary insights in enhancing mathematical models of biological processes, Methodology: Employing a qualitative research approach, fourteen participants—including mathematicians, biologists, and interdisciplinary researchers were engaged through semi-structured interviews and focus group discussions. Findings: Findings highlight the necessity of incorporating domain-specific biological knowledge into mathematical frameworks and emphasize iterative collaboration between disciplines. Participants noted that effective communication and shared conceptual frameworks are vital for bridging gaps between theoretical and empirical perspectives. The study also identifies key challenges, including terminological differences and divergent methodological priorities, which hinder interdisciplinary collaboration. Unique Contribution to Theory, Practice and Policy: This research underscores the value of qualitative approaches in understanding the complexities of interdisciplinary work and offers actionable insights to improve mathematical modeling practices. It advocates for fostering interdisciplinary education and developing integrative tools to enhance collaboration.