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A Combined method to model policy interventions for local communities based on people knowledge.

Antonio Lopolito1, Pasquale Marcello Falcone2, Piergiuseppe Morone2

  • 1Department of the Sciences of Agriculture, Food and Environment, University of Foggia, Via Napoli, 25, 71122, Foggia, Italy.

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|May 19, 2020
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Summary

This study introduces a novel method combining Fuzzy Cognitive Maps (FCMs) and Discourse Analysis to better understand complex regional socio-economic systems for effective policy interventions. It integrates local tacit knowledge with expert insights for improved policy design.

Keywords:
Discourse AnalysisFuzzy Cognitive MapsPolicy measures simulationTacit knowledge

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Area of Science:

  • Socio-economics
  • Regional Development
  • Policy Analysis

Background:

  • Promoting innovative industries in peripheral regions faces challenges due to complex local socio-economic systems and information gaps.
  • Policy interventions often misalign with local needs and capabilities because of this complexity and tacit knowledge.
  • Existing methods struggle to integrate the heuristic, often tacit, knowledge of local actors with scientific expertise.

Purpose of the Study:

  • To develop a robust methodology for capturing and integrating tacit local knowledge into policy-relevant socio-economic system models.
  • To address the limitations of current approaches in representing the complexity and vagueness of local knowledge within a rational framework.
  • To enhance the effectiveness of policy interventions in peripheral regions by aligning them with local realities.

Main Methods:

  • Combined Fuzzy Cognitive Maps (FCMs) with Discourse Analysis to extract relevant narratives and define system variables.
  • Utilized individual interviews, instead of participatory methods, to establish causal relationships among system variables.
  • Integrated uncodified, tacit knowledge from local actors with established scientific knowledge from experts.

Main Results:

  • The proposed methodology successfully integrates diverse knowledge sources, including tacit and expert knowledge, into a coherent framework.
  • Discourse Analysis effectively identified key narratives for defining system boundaries and variables for FCMs.
  • Individual interviews provided a structured approach to mapping causal relationships, accommodating the vagueness of local heuristics.

Conclusions:

  • The integration of FCMs, Discourse Analysis, and individual interviews offers a powerful approach to understanding complex regional socio-economic systems.
  • This methodology provides a more accurate representation of local realities, crucial for designing effective and targeted policy interventions.
  • By bridging the gap between local tacit knowledge and expert scientific knowledge, this approach can significantly improve policy outcomes in peripheral regions.