About - ICABER 2026 | International Conference on Applied Business and Economic Research
About the Conference

About ICABER 2026

The definitive global platform exploring the transformative intersection of Artificial Intelligence and Economics.

Our Story

International Conference on Applied Business and Economic Research

The 2026 International Conference on Applied Business and Economic Research (ICABER) is the definitive global platform for economists, business researchers, technologists, and policymakers. It is dedicated to exploring the transformative intersection of Artificial Intelligence and Economics.

With a central focus on the application of AI technologies in economic forecasting, market intelligence, business strategy, and policy development, ICABER 2026 brings together the brightest minds to shape the future of business research.

Conference Theme

"Bridging AI and Economics: New Horizons for Business Research"

Conference Image

September 27-28, 2026

Lagos, Nigeria • Hybrid Event

Our Mission

To create a premier platform that brings together economists, business researchers, technologists, and policymakers to explore, discuss, and advance the application of AI technologies in economic research, business strategy, and policy development for sustainable global growth.

Our Vision

To be the world's leading interdisciplinary conference that shapes the future of AI-driven economic research, fostering innovation, collaboration, and knowledge exchange that bridges the gap between cutting-edge technology and practical economic applications.

Core Focus

Key Focus Areas

ICABER 2026 centers on four critical areas at the intersection of AI and economics.

Economic Forecasting

AI-powered predictive models for economic trends and market behavior.

Market Intelligence

Data-driven insights transforming business decision-making processes.

Business Strategy

AI applications in strategic planning and competitive advantage.

Policy Development

Shaping economic policies through AI-informed research and analysis.

Conference Highlights

What Makes ICABER Special

Join a dynamic program featuring keynotes, panels, workshops, and networking opportunities.

12

Program Tracks

Interdisciplinary Research

Comprehensive coverage of AI applications across economics, business, policy, and technology sectors.

3

Keynote Speakers

World-Class Experts

Influential voices from World Economic Forum, MIT AI + Policy Lab, and UN AI-4-Development Program.

2

Days of Innovation

Hybrid Experience

World-class in-person collaboration in Lagos with seamless virtual experience for global audience.

Benefits

Why Attend ICABER 2026

Present Original Research

Share your groundbreaking work at the AI-Economics intersection with a global audience.

Publication Opportunities

Access Conference Proceedings (ISSN) and journals indexed by SCOPUS, JMLE, and IRE.

Global Networking

Connect with leading academics, industry experts, and decision-makers worldwide.

Flexible Participation

Join in-person in Lagos or participate virtually from anywhere in the world.

Visa Support

Official invitation letters and dedicated help desk for international attendees.

Startup Pitch Corner

Showcase innovations and connect with investors in the AI-Economics space.

Target Audience

Who Should Attend

ICABER 2026 is ideal for professionals and researchers across multiple disciplines.

Economists

Leveraging AI for modeling and forecasting

Business Strategists

Applying AI to drive innovation

Data Scientists

Exploring economic applications

Financial Analysts

Using AI in market prediction

Policymakers & Regulators

Addressing AI adoption challenges

Academic Researchers

Professors advancing AI-economics research

Corporate Executives

Navigating AI market shifts

NGO & Government Reps

Working in economic development

Graduate & PhD Students

In AI and economics fields

Technology Leaders

Developing AI for finance and policy

Ready to Join ICABER 2026?

Be part of the conversation shaping the future of AI and Economics. Register now or submit your research paper.