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Call for Paper

The ICQESM 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 Statistics,Data Science 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:

01
Quantitative methods in economic modeling
02
Statistical approaches to economic forecasting
03
Econometric models for financial analysis
04
Data analysis in quantitative economics
05
Statistical techniques for policy evaluation
06
Quantitative methods in labor economics
07
Statistical modeling for market analysis
08
Time series analysis in economics
09
Quantitative finance and risk management
10
Statistical methods for economic data
11
Econometric analysis of consumer behavior
12
Quantitative approaches to economic growth
13
Statistical modeling for international trade
14
Data-driven decision making in economics
15
Quantitative methods for public policy
16
Statistical techniques for income inequality
17
Quantitative analysis in development economics
18
Future trends in quantitative economics
19
Statistical modeling for environmental economics
20
Quantitative methods in health economics

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.

👉 Register Now

Publication

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

👉 Submit Your Research Work

Event Highlights

  • Keynote sessions by experienced speakers
  • Technical paper presentations across multiple topics
  • Opportunities for academic and professional networking
  • Discussions on current research developments

Contact Us

    Have questions about submission, registration, or publication? We’re happy to help.

  • Email: [email protected]
  • Phone:+91 9940952512

We look forward to your participation and contribution to the ASPHER Conference.