Call for Papers
Huge amount of Data is being generated and transmitted everyday. To be able to deal with this data, extract useful information from it, store it, transmit it, and represent it, intelligent technologies and applications are needed. The International Conference on Intelligent Data Science Technologies and Applications (IDSTA) is a peer reviewed conference that will advance the Data Science field by giving an opportunity for researchers, engineers, and practitioners to present their latest findings in the field. It will also invite key persons in the field to share their current knowledge and their future expectations for the field. Topics of interest for submission include, but are not limited to:
- Data Science for Applied Public Affairs
- Campaign Management
- Mass Communication Politics
- Political Analysis
- Survey Sampling
- Data Science for Business Analytics
- Stock Market Analysis
- Predictive Analytics
- Business Intelligence
- Data Science for Finance
- Risk Management
- Algorithmic Trading
- Fraud Detection
- Financial Analysis
- Data Science and Computer Science
- Database Management Systems
- Scientific Computing
- Computer Vision
- Fuzzy Computing
- Feature Selection
- Neural Networks
- Deep Learning
- Meta-Learning
- Process Mining
- Artificial Intelligence
- Data Mining
- Big Data
- Web Analytics
- Text Mining
- Natural Language Processing
- Sentiment Analysis
- Social Media Analysis
- Data Fusion
- Performance Analysis and Evaluation
- Evolutionary Computing and Optimization
- Hybrid Methods
- Granular Computing
- Recommender Systems
- Data Visualization
- Predictive Maintenance
- Internet of Things (IoT)
- Web Scraping
- Data Science and Sustainability
- Datasets on Sustainability
- Sustainability Modeling
- Energy Sustainability
- Water Sustainability
- Environmental Sustainability
- Risk Analysis
- Data Science and Cybersecurity
- Data Privacy and Security
- Network Security
- Communication Security
- Cryptography
- Fraud Detection
- Blockchain
- Data Science and Environmental Science
- GIS
- Climatographic
- Remote Sensing
- Spatial Data Analysis
- Weather Prediction and Tracking
- Data Science and Biotechnologies
- Gnome Analysis
- Drug Discovery and Screening and Side Effect Analysis
- Structural and Folding Pattern
- Disease Discovery and Classification
- Bioinformatics
- Next-Gen Sequencing
- Data Science and Smart City
- City Data Management
- Smart Traffic
- Surveillance
- Location-Based Services
- Robotics
- Data Science and Human Behaviour Understanding
- Data Science and Semi-Structured and Unstructured Data
- Data Science and Pattern Recognition
- Data Science andTransparency in Research Data
- Data Science and Data and Information Quality
- Data Science and GPU Computing
- Data Science and Crowdsourcing
Call for Workshop Proposals
IDSTA will host a series of workshops and is also inviting new workshop proposals. The purpose of the workshops is to emphasize current and emerging topics of particular interest to the community.
Proposal Format
Each workshop proposal must include (maximum 4 pages, in PDF format):
- Title of the workshop.
- Workshop organizers (name, affiliation and short biography).
- Scope and topics of the workshop.
- Rationale:
- Why the workshop is related to IDSTA 2023.
- Why the topic is important.
- Why the workshop may attract a significant number of attendees.
- Workshop details:
- A draft call for papers (including organizers, program committee, and steering committee if any). Organizers are expected to be fully committed and physically present at the workshop.
- Workshop tentative schedule (number of expected papers, duration full/half day, format talks/posters, etc.). We encourage full-day events that demonstrate the interest of the community in the proposed topic and guarantee the commitment of the organizers. Half-day proposals are also welcome but expected to provide a rationale for the proposed duration.
- Names of potential participants and invited speakers (if any).
- Workshop history: if there are past workshops, the history of the workshop.