The Data Science 2024 conference (DS 2024) invites researchers, practitioners, and students to submit their original work for consideration in our upcoming program. This year's conference focuses on the cutting edge of data science, exploring advancements and challenges across a wide range of applications. We're seeking contributions that push the boundaries of the field and offer valuable insights into the future of data-driven decision making.
Key Themes and Topics
DS 2024 welcomes submissions addressing, but not limited to, the following key themes:
Artificial Intelligence & Machine Learning:
- Deep Learning Advancements: Novel architectures, training techniques, and applications of deep learning.
- Explainable AI (XAI): Methods for improving the transparency and interpretability of AI models.
- Federated Learning: Techniques for training machine learning models on decentralized data sources.
- Reinforcement Learning: Advances in reinforcement learning algorithms and their applications.
- AI Ethics and Bias Mitigation: Addressing ethical concerns and mitigating bias in AI systems.
Data Management and Analytics:
- Big Data Technologies: Scalable solutions for managing and processing large datasets.
- Data Visualization and Storytelling: Effective techniques for communicating data insights.
- Data Integration and Interoperability: Methods for integrating data from diverse sources.
- Data Mining and Knowledge Discovery: Novel algorithms and techniques for extracting knowledge from data.
- Data Security and Privacy: Protecting data privacy and security in data science applications.
Applications of Data Science:
- Healthcare and Bioinformatics: Applications of data science in improving healthcare outcomes.
- Finance and Economics: Data-driven approaches to financial modeling and risk management.
- Environmental Science: Using data science to address environmental challenges.
- Social Sciences: Applications of data science in understanding social phenomena.
- Industry 4.0 and IoT: Data analytics for optimizing industrial processes and managing IoT data.
Submission Guidelines
Authors are invited to submit full research papers, short papers, and posters. All submissions must be original, unpublished work and adhere to the formatting guidelines provided on the DS 2024 website (link to be added closer to the submission deadline – please check back regularly). The submission process will be entirely online.
Important Dates:
- Abstract Submission Deadline: [Insert Date Here]
- Full Paper Submission Deadline: [Insert Date Here]
- Notification of Acceptance: [Insert Date Here]
- Camera-Ready Paper Deadline: [Insert Date Here]
- Conference Dates: [Insert Dates Here]
Why Submit to DS 2024?
DS 2024 offers a unique opportunity to:
- Share your research: Present your work to a leading audience of data scientists, researchers, and practitioners.
- Network with experts: Connect with leading experts in the field and build valuable professional relationships.
- Learn from the best: Attend workshops and tutorials led by renowned researchers and practitioners.
- Shape the future of data science: Contribute to the ongoing development and advancement of the field.
We encourage submissions from diverse backgrounds and perspectives. We are committed to fostering an inclusive and welcoming environment for all participants. We look forward to receiving your contributions and shaping a groundbreaking DS 2024 program.
Contact:
For any inquiries, please contact [Insert Contact Email Address Here].
