Econometric Research Association 3rd International Data Analytics and Machine Learning Conference " Artificial Intelligence and the Economic Efficiency: Sectoral Applications and Value Generation " DATAMACLEA’26

Econometric Research Association (ERA) is excited to unveil the 3^rd International Data Analytics and Machine Learning Conference DATAMACLEA’26 (face to face or online) dedicated to exploring the forefront of data analytics and machine learning. ERA will cooperate with Ankara Yıldırım Beyazıt University, Institute for International Relations and Strategic Research, (ULISA) during the event. Both English and Turkish articles are welcomed for the Conference. This year’s main topic which is " Artificial Intelligence and the Economic Efficiency: Sectoral Applications and Value Generation " can be summarized as follows:

Artificial Intelligence (AI) is increasingly integrated into the core of economic, technological, and organizational systems, fundamentally altering how value is created, labor is distributed, and productivity is optimized. From AI-assisted software development pipelines to data-driven decision-making in corporate operations, intelligent systems are emerging as key drivers of efficiency and innovation across industries. Yet, these transformations prompt critical economic reflections: Which human-led tasks can be responsibly automated? What are the measurable benefits and hidden costs of delegating functions to AI? And how can institutions maximize value generation while maintaining adaptability and accountability? DATAMACLEA’26 welcomes empirically grounded and forward-looking contributions that investigate these questions through technical insight, sectoral analysis, and real-world application.

At the same time, the growing adoption of AI technologies across sectors is unlocking new forms of economic efficiency, operational resilience, and scalable innovation. From intelligent documentation and simulation systems to decision-support tools and remote service platforms, AI-powered solutions are enabling organizations to optimize processes, reduce resource waste, and enhance outcome quality. These tools not only assist professionals in managing complex tasks but also generate measurable value at the institutional, national, and global levels. DATAMACLEA’26 encourages contributions that examine how such AI-enabled innovations reshape economic models, improve productivity, and drive value creation across diverse domains, including healthcare, software, education, finance, and beyond.

Keynote Speaker (Face to Face): Dr. Şeyma Handan Akyön, Sincan Education and Research Hospital

“Rethinking Healthcare Workflows with AI”

https://scholar.google.com/citations?user=bz9g4jcAAAAJ&hl=tr

Keynote Speaker (Face to Face): Fatih Çağatay Akyön (Post Graduate, METU), Viddexa AI, Ultralytics Inc, METU

“Building the Company That Never Sleeps”

https://scholar.google.com/citations?user=RHGyDE0AAAAJ&hl=en

Keynote Speaker (Online): Prof. Dr. Ángel López Nicolás, Universidad Politécnica de Cartagena, Spain

“Modelling the Impact of the European Union's Tobacco Tax Directive”

https://scholar.google.com/citations?user=-bP4pQsAAAAJ&hl=en

Keynote Speaker: Prof. Dr. Enrique Mallen, Sam Houston State University, USA

“Enhancing Knowledge of History Through Visual Arts”

https://scholar.google.com/citations?user=GrFvv04AAAAJ&hl=en

Conference Location: Ankara Yıldırım Beyazıt University, Etlik Milli İrade Campus

Please submit your abstracts by filling the Abstract Submission Form (https://www.era.org.tr/datamaclea26_form.html) until March 31, 2026.

Book of abstracts will be published.

Proceedings of the Conference will be published.

PUBLICATION OPPORTUNITY

• International Econometric Review – IER
• Anadolu Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi
• Cumhuriyet Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi
• Ekonomi, Politika, Finans Araştırmaları Dergisi
• Journal of Economics Business and International Relations - JEBI
• Frontiers in Energy Economics
• Adam Academy Journal of Social Sciences

CONCEPT NOTE

We welcome original papers from researchers, practitioners, and students within the context of the above main topic, but you are not limited to this. The below topics are also welcomed.

• Artificial Intelligence in Economics / Finance / Management
• Policy, Regulation and Social Impact of Artificial Intelligence
• Machine Learning / Deep Learning
• Data Mining / Big Data
• Emerging Technologies (IoT, Blockchain, Digital Twins)
• Natural Language Processing / Financial Data Analytics
• Predictive Analytics / Forecasting
• Statistical Learning and Inference
• Econometric Theory
• Applied Economics
• Behavioral and Experimental Economics
• Agent Based Modelling
• Optimization / Operations Research
• Other

IMPORTANT DATES

SUPPORTING UNIVERSITIES
 

Fatih Sultan Mehmet Vakıf University, Türkiye
Istanbul Kültür University, Türkiye
Necmettin Erbakan University
Sivas Cumhuriyet University, Türkiye.

SUPPORTING INSTITUTIONS

Central Bank of the Republic of Türkiye
Turkish Airlines

Tübitak Ulakbim
Tübitak Bilgem
Institute of Economic Development and Social Research
Artificial Intelligence and Technology Association (Official Representative of US Based Association for the Advancement of Artificial Intelligence Community)

Info Yatırım
Ankara Düşünce ve Araştırma Merkezi

ODTÜ Mezunlar Birliği Vakfı

Management and Economics Club, Ankara Yıldırım Beyazıt University, Türkiye

ASELSAN (TBC)
Ankara Sanayi Odası (TBC)

Ankara Kalkınma Ajansı (TBC)
STATA (TBC)