The conference aimed to bring together experts in the areas of data science and different application domains to share experience and extend horizons of possible collaboration. The scope of the conference includes but not limited to the following topics:

- Data Science for Natural Science and Social Sciences
- Optimal Control theory
- Natural Language Processing
- Recommender systems and collaborative technologies
- Process mining
- Analytics for geoinformation systems
- Analysis of images and video
- Discovering and analyzing processes using event data
- Game analytics
- Core Data Mining and Machine Learning techniques
- Semantic Web and Ontologies
- Educational Data Mining
- Social Network Analysis

# Submission Guidelines

We invite submission of papers that present original previously unpublished research. We accept full papers (up to 12 pages) and short papers (exactly 6 pages) formatted accordingly to the Springer LNCS style. Although Springer offers both LaTeX style files and Word templates, we highly encourage the authors to use LaTeX. The papers must be written in English.

Please use the EasyChair system to submit a paper: https://easychair.org/conferences/?conf=dda-2018

# Venue

The Conference will take place at Higher School of Economics in Moscow.

# The board

Fuad Aleskerov (program co-chair)
Sergey Kuznetsov (program co-chair)
Rostislav Yavorskiy (organizing chair)