Flex Conference (Physical / Digital)

International Conference on Behavioral Economics and Insurance Decision-Making - (ICBEIDM-26)

25th - 26th November 2026 , New York - USA

Registration Options

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Call For Papers

The (ICBEIDM-26) emphasizes interdisciplinary collaboration by bringing together experts from diverse fields. It encourages research that integrates multiple perspectives to address complex global challenges.

Key areas such as Insurance are explored to promote cross-domain knowledge exchange and collaborative innovation.

Authors are invited to submit papers addressing, but not limited to, the following areas:

  • Behavioral economics in insurance decisions
  • Consumer biases in insurance purchasing
  • Impact of nudges on insurance choices
  • Risk perception and insurance uptake
  • Behavioral insights for insurance marketing
  • Decision-making processes in insurance
  • Behavioral strategies for fraud prevention
  • Cognitive biases in insurance claims
  • Influence of social norms on insurance behavior
  • Behavioral interventions in health insurance
  • Consumer education and insurance literacy
  • Behavioral factors in risk assessment
  • Emotional influences on insurance decisions
  • Behavioral research in insurance pricing
  • Impact of incentives on insurance behavior
  • Behavioral economics and policy design
  • Understanding consumer trust in insurance
  • Behavioral trends in insurance markets
  • Future of behavioral economics in insurance
  • Case studies in behavioral insurance practices

Assessment

All submissions will undergo peer review to ensure quality and interdisciplinary relevance. Accepted papers will be presented and considered for publication in journals and conference proceedings.

Registration

Registering for the conference provides access to keynote sessions, technical presentations, and networking opportunities with global experts.

Publication

Publishing through the conference enhances the visibility of your research and connects your work with a broader academic audience.