Ahmadu Bello University, Zaria
DEPARTMENT OF STATISTICS
2nd International Conference
on Statistical Sciences and Data Analytics
(ICSSDA 2026)
THEME:
"Navigating Global Economic Disruptions: Statistical Insights for Resilience, Recovery, and Policy in Nigeria"
CALL FOR PAPERS
Introduction
The Department of Statistics, Ahmadu Bello University Zaria, is pleased to announce the 2nd International Conference on Statistical Sciences and Data Analytics (ICSSDA 2026).
Currently, the global economy is facing unprecedented disruptions driven by geopolitical tensions, energy market volatility, inflationary pressures, and financial uncertainties. These challenges have had profound implications for developing economies, including Nigeria.
This conference seeks to bring together statisticians, economists, data scientists, policymakers, financial experts and industry practitioners to explore how statistical sciences and data analytics can provide robust solutions for economic resilience, policy formulation, and sustainable development.
Objectives of the Conference
- To examine the role of statistical methods in addressing economic instability.
- To promote data-driven policymaking and financial system resilience.
- To provide a platform for interdisciplinary collaboration.
- To showcase innovative research in statistics, data analytics, and economic modeling.
- To generate actionable recommendations for Nigeria and other developing economies.
Conference Sub-Themes
Authors are invited to submit papers in, but not limited to, the following areas:
- Inflation dynamics and predictive modeling.
- Exchange rate volatility and forecasting techniques.
- Time series and econometric modeling for economic stability.
- Early warning systems for economic crises.
- Economic implications of global conflicts and trade disruptions.
- Energy prices, supply chains, and inflation transmission.
- Quantifying uncertainty in global economic systems.
- Poverty, inequality, and welfare measurement.
- Data quality, governance, and official statistics.
- Machine learning in economic forecasting.
- Big data analytics for financial systems.
- Agricultural statistics and food security.
- Industrial statistics and productivity analysis.
- Entrepreneurship and data-driven innovation.
- Mathematical optimization techniques for economic decision-making.
- Computational and numerical methods in economic analysis.
- Statistical distributions for modeling complex economic data.
Date
21st – 24th July, 2026
Presentation Mode
Virtual
Who Should Attend?
- Academics and Researchers
- Government Officials and Policymakers
- Central Bankers and Financial Analysts
- Industry Professionals and Consultants
- Postgraduate Students and Early Career Researchers
- International Development Partners
Submission Guidelines
- Abstracts should be 200–250 words.
- Full papers should not exceed 12 pages.
- Submissions must be original and should not be under consideration for publication elsewhere.
- All papers will undergo (double-blind) peer review.
- All accepted papers presented at the conference will appear in the Conference Proceedings, and some further enriched papers may be considered for publication in the maiden edition of our Journal of Statistical Sciences and Data Analytics.
IMPORTANT DATES
20th May - 10th July, 2026
Abstract Submission
21st – 24th July, 2026
Conference Dates
30th July, 2026
Full Paper Submission
Special Features
- Keynote Addresses by leading experts
- Lead Papers Presentations
- Industry and Data Science Innovation Session
- Young Researchers’ Forum
| CONFERENCE FEES | |||
|---|---|---|---|
| Local Participation ₦20,000.00 |
Cooperate Bodies and Consultants ₦50,000.00 |
International Participants $50 (USD) |
|
| BANK ACCOUNT FOR INTERNATIONAL PAYMENTS | |||
|---|---|---|---|
| Account Number 2046854915 |
Account Name ABU Statistics Conference |
Bank Name First Bank of Nigeria Plc |
Account Type Domiciliary |
| NOTE: For local particpants, payments are to be made online directly on this website after registering for the conference. | |||
ENQUIRIES
For any enquiry, you may wish to contact any of the following LOC members:
+23480 6276 8519, +23480 6933 4466, +23480 2291 4879, +23480 3755 7300
Email: icssda@abu.edu.ng