Conference Topics
01
AI for Sustainability
Swarm Intelligence
Natural Language Processing
Computer Vision
Fuzzy Systems
Climate Modeling with AI
AI-Driven Resource Optimization
02
Sustainable Civil Eng.
Environmental Engineering
Low Carbon Construction
Geotechnical Engineering
Recycled Materials
Smart Infrastructure
Circular Economy in Construction
03
Smart Grid Tech
Smart Grid Dispatch
Energy Efficiency
Microgrid Controls
Energy Storage
Renewable Integration
Grid Cybersecurity
04
Digital Manufacturing
Industry 4.0 & IIoT
Robotics & Automation
Cybersecurity
Predictive Maintenance
Additive Manufacturing
Digital Twins
05
Sustainable Agriculture
Precision Farming
Intelligent Irrigation
Greenhouse Tech
Renewable Energy
IoT in Agriculture
Soil Health Monitoring
06
Digital Learning
Virtual Labs
Learning Analytics
AI-based Education
Educational Games
Adaptive Learning Systems
AR/VR in Education
07
Green Computing
Green Data Centers
Edge Computing
Big Data
AR/VR Applications
Energy-Efficient Algorithms
Blockchain for Sustainability
08
Digital Health
Patient Monitoring
Medical Imaging
Health Data Security
DNA Sequencing
Telemedicine
AI in Diagnostics
09
Information Systems & Organization
Information Systems Management
Digital Transformation of Organizations
Decision Support Systems
Business Intelligence & Analytics
ERP & Sustainable Organizations
Governance of Information Systems
Digital Innovation for Sustainable Development
10
Cybersecurity & Digital Trust
Cybersecurity for Sustainable Development
Secure Smart Cities & Infrastructure
Data Privacy & Protection
Cybersecurity in IoT & Smart Systems
Blockchain Security for Sustainability
Risk Management & Digital Resilience
Ethical & Responsible Cybersecurity
Submission Guidelines
DATA’26 invites high-quality original research papers that advance digital technologies for sustainable development. Authors are invited to submit original, unpublished manuscripts of up to 10 pages following the official conference template.
* Papers must not be under review or accepted elsewhere.
* Similarity check using iThenticate (max 15% overall similarity, 5% from a single source).
* Double-blind peer review by 2–3 program committee members.
* Evaluation based on originality, technical quality, clarity and impact.