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 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

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.
- 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.
Proposals should be sent to info@idsta-conference.org.