Advancing Data Systems
& Ethical Practices
in a Gen AI Era
The International Conference on Data-Driven Innovations and Applications returns for its second edition — bringing together researchers, practitioners, and innovators from around the globe.
Sept 1-3, 2026
University of Nigeria, Nsukka
TIME REMAINING
Until Submission Deadline
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CONFERENCE THEME
Advancing Data Systems and Ethical Practices in a GenAI Era
ICDIA 2026 explores the intersection of data-driven innovation and ethical responsibility as generative AI reshapes every domain — from healthcare and agriculture to governance and education. We invite original research that pushes boundaries while grounding itself in responsible practice.
IMIPORTANT DATES
Mark Your Calendar
Website opens for submission
April 1, 2026
Submission Deadline
July 14, 2026
Acceptance/Rejection Notice
July 30, 2026
Camera-ready Submission
August 15, 2026
Registration
August 10, 2026
ICDIA-26 Conference
Sept 1-3, 2026
Papers are invited across five thematic tracks covering the full spectrum of data-driven research and innovation.
CALL FOR PAPERS
Research Tracks & Sub-Themes
TRACK 01
Data Creation & Preparation
- Data Acquisition
- Data Collection
- Data Extraction Techniques
- Data Cleaning and Pre-processing
- Data Annotation
- Feature Engineering
- Data Integration and Fusion
- Synthetic & Augmented Data for Intelligent Systems
TRACK 02
Data Analytics, Mining & Learning Systems
- Exploratory Data Analysis
- Data Mining Techniques
- Learning from Data - AI System
- Data Analytics / AI/ML in Healthcare, Agriculture, Industry, Smart Systems
- Real-time and Streaming Data Analytics
TRACK 03
Data Systems & Infrastructure
- Big Data Technologies
- Cloud Computing for Data Management
- Edge-Cloud Data Ecosystems
- Distributed Data Infrastructure
- Scalable Data Storage and Processing Architectures
- Data Pipeline Engineering
- Internet of Things & Biosensors
TRACK 04
Data Governance
- Data Governance and Management
- Data Privacy and Ethics
- Data Security and Protection
- Bias and Fairness in Data Systems
- Data Quality and Integrity
- Data Sharing and Access Frameworks
TRACK 05
Generative AI & Foundation Models
- Foundation Models (text, image, audio, video, multimodal)
- Generative Model Architectures and Optimization
- Fine-tuning of Foundation Models
- Cross-modal Generation and Translation
- Data Design and Curation for GenAI
- Deepfake and Synthetic Media Detection
- Safety, Fairness, and Ethics in Generative AI
The Microsoft CMT service was used for managing the peer-reviewing process for this conference. This service was provided for free by Microsoft and they bore all expenses, including costs for Azure cloud services as well as for software development and support.
Note on Data Collection & Acquisition Authors with research data available in a public data repository are encouraged to add the dataset link during the online submission process.
DISTINGUISHED SPEAKERS
Keynote & Lead Presenters
KEYNOTE SPEAKER
LEAD PAPER PRESENTER
LEAD PAPER PRESENTER
Prof. Simon U. Ortuanya
HOST
Prof. Collins N. Udanor
Dr. Emmanuel C. Ukekwe
REGISTRATION
Attendance Fees
₦ 40,000
₦ 25,000
Students
₦ 10,000
₦ 20,000
$ 100
SUBMISSION GUIDELINES
How to Submit
All papers must be submitted electronically through the Microsoft CMT conference management system.
- Length: Maximum 6 pages in double-column format, including figures and tables. References not included in the 6-page limit; formatted per IEEE reference style.
- Originality: Papers must be original and not under consideration elsewhere. Turnit.in plagiarism detection will be used.
- Review Process: Double-blind peer review. Authors notified of acceptance, rejection, or revision requests based on review feedback.
- Publication: Accepted papers published online after the conference in a Book of Abstract/Proceedings in the journal Communications in Physical Sciences.
OTHER EVENTS
Conference Programme
Software and Artefact Exhibition
Poster Sessions
Awards and Prizes for Best Software, Artefacts, Posters, Presentations & more
The Microsoft CMT service was used for managing the peer-reviewing process for this conference. This service was provided for free by Microsoft and they bore all expenses, including costs for Azure cloud services as well as for software development and support
