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 and Computer Science
Big Data
Social Media Analysis
Database Management Systems
Scientific Computing
Web Analytics
Web Scraping
Data Fusion
Performance Analysis and Evaluation
Evolutionary Computing and Optimization
Hybrid Methods
Granular Computing
Data Visualization
Predictive Maintenance
Internet of Things (IoT)
Data Science and Artificial Intelligence
Feature Selection
Neural Networks
Computer Vision
Deep Learning
Data Mining
Natural Language Processing
Sentiment Analysis
Recommender Systems
Meta-Learning
Process Mining
Text Mining
Fuzzy Computing
Data Science and Smart City
City Data Management
Smart Traffic
Surveillance
Location-Based Services
Robotics
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 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 in Computer Science Education
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