1. Introduction
We are delighted to announce the inaugural Undergraduate and High School Symposium, to be held as part of the IEEE BigData 2024 Conference. This symposium aims to provide a platform for young researchers to showcase their innovative work in the field of big data and related disciplines.
2. Scope of Topics
We invite submissions of original research papers from undergraduate and high school students on topics related to big data, including but not limited to:
Big Data Science and Foundations
- Novel Theoretical Models for Big Data
- New Computational Models for Big Data
- Data and Information Quality for Big Data
- New Data Standards
Big Data Infrastructure
- Cloud/Grid/Stream Computing for Big Data
- High Performance/Parallel Computing Platforms for Big Data
- Autonomic Computing and Cyber-infrastructure, System Architectures, Design and Deployment
- Energy-efficient Computing for Big Data
- Programming Models and Environments for Cluster, Cloud, and Grid Computing to Support Big Data
- Software Techniques and Architectures in Cloud/Grid/Stream Computing
- Big Data Open Platforms
- New Programming Models for Big Data beyond Hadoop/MapReduce, STORM
- Software Systems to Support Big Data Computing
Big Data Management
- Data Acquisition, Integration, Cleaning, and Best Practices
- Computational Modeling and Data Integration
- Large-scale Recommendation Systems and Social Media Systems
- Cloud/Grid/Stream Data Mining- Big Velocity Data
- Mobility and Big Data
- Multimedia and Multi-structured Data- Big Variety Data
- Compliance and Governance for Big Data
Big Data Search and Mining
- Social Web Search and Mining
- Web Search
- Algorithms and Systems for Big Data Search
- Distributed, and Peer-to-peer Search
- Big Data Search Architectures, Scalability and Efficiency
- Link and Graph Mining
- Semantic-based Data Mining and Data Pre-processing
- Search and Mining of variety of data including scientific and engineering, social, sensor/IoT/IoE, and multimedia data
Big Data Learning and Analytics
- Predictive analytics on Big Data
- Machine learning algorithms for Big Data
- Deep learning for Big Data
- Feature representation learning for Big Data
- Dimension reduction for Big Data
- Physics informed Big Data learning
- Visualization Analytics for Big Data
Data Ecosystem
- Data ecosystem concepts, theory, structure, and process
- Ecosystem services and management
- Methods for data exchange, monetization, and pricing
- Trust, resilience, privacy, and security issues
- Privacy preserving Big Data collection/analytics
- Trust management in Big Data systems
- Ecosystem assessment, valuation, and sustainability
- Experimental studies of fairness, diversity, accountability, and transparency
Foundation Models for Big Data
- Big data management for pre-training
- Big data management for fine-tuning
- Big data management for prompt-tuning
- Prompt Engineering and its Management
- Foundation Model Operationalization for multiple users
Big Data Applications
- Complex Big Data Applications in Science, Engineering, Medicine, Healthcare, Finance, Business, Law, Education, Transportation, Retailing, Telecommunication
- Big Data Analytics in Small Business Enterprises (SMEs)
- Big Data Analytics in Government, Public Sector and Society in General
- Real-life Case Studies of Value Creation through Big Data Analytics
- Big Data as a Service
- Big Data Industry Standards
- Experiences with Big Data Project Deployments
Submitted papers should present novel ideas, methodologies, algorithms, or applications in the realm of big data. Papers will be evaluated based on their technical quality, novelty, relevance, and clarity of presentation.
3. Eligibility
- Undergraduate students and high school students pursuing an academic degree at the time of submission are eligible to submit papers as first authors.
- Each submission must have at least one student author, who should be the presenter if the paper is accepted.
- Co-authorship with faculty members or researchers is allowed, but the student must be the primary contributor to the work.
4. Submission Format Requirements
- Submissions must adhere to the IEEE Computer Society Proceedings Manuscript Formatting Guidelines.
- Undergraduate student research papers should not exceed 6 pages, including all figures, tables, and references.
- High school student research papers should not exceed 5 pages, including all figures, tables, and references.
- Please highlight whether the first author is a high school student or an undergraduate student in the author affiliation of your submitted paper.
5. Important dates
- Paper Submission Deadline: Oct 1, 2024 11:59 PM AoE
- Notification of Acceptance: Nov 4, 2024
- Camera-Ready Paper Submission: Nov 20, 2024
- Symposium Date: TBD
6. How to Submit
Please submit your papers electronically through the symposium's submission portal. The review process is single-blind, meaning that reviewers remain anonymous, but authors are not. All papers accepted by this symposium will be included in the Workshop Proceedings published by the IEEE Computer Society Press, made available at the Conference.
7. Program Committee Members (TBD)
8. Presentation Agenda (TBD)
Join us in shaping the future of big data research by sharing your insights and discoveries at the Undergraduate and High School Symposium. We look forward to receiving your submissions and to an engaging and enriching event at IEEE BigData 2024 Conference. For further information or any questions regarding submissions, please contact the Undergraduate and High School Symposium Co-Chairs, Dr. Xuan Wang and Dr. Yanjie Fu, at ieee-bigdata-2024-undergraduate-high-school-symposium-g@vt.edu.