
7月16日 - 2026年7月18日
International Conference on Data Science, Technology and Applications
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概览
The International Conference on Data Science, Technology and Applications (DATA) aims to unite researchers, engineers, and practitioners interested in databases, big data, data mining, data management, data security, and information systems involving data applications. DATA 2026 will take place from July 16 - 18, 2026. Accepted full papers will be published in the conference proceedings.
DATA 2026: Call for Papers
The International Conference on Data Science, Technology and Applications (DATA) aims to bring together researchers, engineers and practitioners interested on databases, big data, data mining, data management, data security and other aspects of information systems and technology involving advanced applications of data.
DATA 2026 will have both oral and poster sessions.
Conference Areas
- DATA SCIENCE & MACHINE LEARNING
- Advanced Machine Learning Algorithms
- Natural Language Processing
- Machine Learning for Large Datasets
- Computer Vision
- Explainable AI
- AutoML & Hyperparameter Tuning
- Time Series Analysis
- Predictive Modeling
- Pattern Recognition
- DATABASES & DATA MANAGEMENT
- Relational vs. NoSQL Databases
- Database Scalability & Performance Tuning
- Distributed Databases & Sharding
- Database Security & Access Control
- Cloud-native Databases & Database-as-a-Service (DBaaS)
- SQL vs. NewSQL: Choosing the Right Database
- Graph Databases & Complex Network Analysis
- Database Migration & Integration Strategies
- DATA ENGINEERING, INFRASTRUCTURE AND BUSINESS APPLICATIONS
- Data Pipelines & ETL
- Data Lakes vs. Data Warehouses
- Real-Time Data Processing
- Cloud Data Infrastructure
- Big Data Technologies
- Data Governance & Quality
- Business Intelligence
- Open Data and Linked Data
- Data Fusion
- Social Web Search and Mining
- DATA ANALYTICS & VISUALIZATION
- Advanced Data Analytics
- Statistics and Exploratory Data Analysis
- Unstructured Data Analytics
- Web Analytics
- Data Storytelling
- Dashboards & BI Tools
- Geospatial Analytics
- Interactive Data Visualization
- A/B Testing & Experimentation
- DATA PRIVACY & SECURITY, ETHICS & GOVERNANCE
- Data Encryption & Anonymization
- Threat Detection & Prevention
- Identity Management & Access Control
- Blockchain & Data Security
- Incident Response & Forensics
- Data Governance Frameworks
- Bias in Data
- Data Ownership & Control
- Data Sovereignty
- DATA IN INDUSTRY AND EMERGING TRENDS IN DATA
- Data in Finance, Healthcare, Retail & E-commerce, Manufacturing, Marketing
- Data-Driven Innovation
- Scalability & Performance
- Collaborative Data Science
- Data for Crisis Management
- Quantum Computing & Data
- Edge Computing & Data
- Synthetic Data
- Augmented Analytics
- Digital Twins
- 5G & Data
Submission
Authors can submit their work in the form of a complete paper or an abstract. Authors should submit a paper in English, carefully checked for correct grammar and spelling, addressing one or several of the conference areas or topics. All papers must be submitted through the online submission platform PRIMORIS and should follow the instructions and templates that can be found under Guidelines and Templates. To facilitate the double-blind paper evaluation method, authors are kindly requested to produce and provide the paper WITHOUT any reference to any of the authors.
Accepted abstracts are presented but not published in the proceedings of the conference.
Complete papers can be submitted as a Regular Paper, representing completed and validated research, or as a Position Paper, portraying a short report of work in progress or an arguable opinion about an issue discussing ideas, facts, situations, methods, procedures or results of scientific research focused on one of the conference topic areas.
Publications
All accepted complete papers will be published in the conference proceedings, under an ISBN reference, on paper and on digital support.
SCITEPRESS is a member of CrossRef (http://www.crossref.org/) and every paper on our digital library is given a DOI (Digital Object Identifier).
The proceedings will be submitted for indexation by SCOPUS, Google Scholar, DBLP, Semantic Scholar, EI and Web of Science / Conference Proceedings Citation Index.
Important Dates
Conference Date: 16 - 18 July, 2026
- Regular Papers
- Paper Submission: March 3, 2026
- Authors Notification: April 30, 2026
- Camera Ready and Registration: May 15, 2026
- Position Papers / Regular Papers
- Paper Submission: April 16, 2026
- Authors Notification: May 22, 2026
- Camera Ready and Registration: June 5, 2026
- Abstracts Track
- Abstract Submission: May 22, 2026
- Authors Notification: June 8, 2026
- Camera Ready and Registration: June 17, 2026
- Workshops
- Workshop Proposal: March 18, 2026
- Special Sessions
- Special Session Proposal: March 18, 2026
- Tutorials
- Tutorial Proposal: June 12, 2026
- Demos
- Demo Proposal: June 12, 2026
- Panels
- Panel Proposal: June 12, 2026
Note: All dates refer to AOE time, i.e. "Anywhere on Earth"
Venue
Available soon.
Secretariat
DATA Secretariat
Address: Avenida de S. Francisco Xavier, Lote 7 Cv. C
2900-616 Setúbal - Portugal
Tel.: +351 265 520 185
Fax: +351 265 520 186
e-mail: data.secretariat@insticc.org
Web: https://data.scitevents.org
Conference Chair
Slimane Hammoudi, ESEO, ERIS, France
Program Co-Chairs
Xin-She Yang, Middlesex University London, United Kingdom
Elhadj Benkhelifa, Staffordshire University, United Kingdom
会议日期
Conference Date
2026年7月16日 → 2026年7月18日
投稿
(Regular Papers) Paper Submission
2026年3月3日
(Special Sessions) Special Session Proposal
2026年3月18日
(Workshops) Workshop Proposal
2026年3月18日
通知
(Regular Papers) Authors Notification
2026年4月30日
(Position Papers /Regular Papers) Authors Notification
2026年5月22日
(Abstracts) Authors Notification
2026年6月8日
终稿
(Regular Papers) Camera Ready and Registration
2026年5月15日
(Position Papers /Regular Papers) Camera Ready and Registration
2026年6月5日
(Abstracts) Camera Ready and Registration
2026年6月17日
注册
(Regular Papers) Registration
2026年5月15日
(Position Papers /Regular Papers) Registration
2026年6月5日
(Abstracts) Registration
2026年6月17日
来源排名
来源: CORE2023
排名: C
研究领域: Data management and data science, Machine learning