Data Science & Social Research
Second international conference on data science and social research
4th February 2019 - University of Milano - Bicocca
5th February 2019 - Università IULM
As digital technologies, the internet and social media become increasingly integrated into society, a proliferation of digital footprints of human and societal behaviours are generated in our daily lives. All these data provide opportunities to study complex social systems, by the empirical observation of patterns in large-scale data, quantitative modelling and experiments.
The social data revolution enables not only new business models but it also provides policy makers with better instruments to support their decisions.
This conference aims at stimulating the debate between scholars of different disciplines about the so called “data revolution” in social research. Statisticians, computer scientists and domain experts in social research will discuss the opportunities and challenges of the social data revolution to create a fertile ground for addressing new research problems.
The Data Science and Social Research international conference encourages contributions about:
new methodological developments to extract social knowledge from large scale data sets;
new social research about human behaviour and society with large datasets, either mined from various sources (e.g. social media, communication systems) or created via controlled experiments;
integrated systems to take advantage of new social data sources;
big data quality issues, both as reformulation of traditional representativeness and validity and as emerging quality aspects such as access constraints, which may produce inequalities.
Conference themes
The themes of the conference are focused on but not restricted to:
Big data issues in social research
Data mining
Data Security
Decision Support Systems
Empiricism and Knowledge
Features of data quality
Machine learning
Multivariate analysis
Pattern recognition
Sentiment analysis
Social network data analysis
Social simulation models
Statistical knowledge-based methods
Structural modeling
Symbolic data analysis
Textual data analysis
Crowd computing
Ethical challenges of technologies, data, algorithms, platforms, and people in the Web
Applications can cover different domains such as Health Care, Finance, Business and Marketing, Customer Journey, Communication, Reputation, Management, Data Journalism, Digital Humanities, Game Studies, and Social inequalities.
Journal special issues
Due to the several extension requests received, we have decided to extend the paper submission deadline for the book “DATA SCIENCE AND SOCIAL RESEARCH – II. METHODS, TECHNOLOGIES AND APPLICATIONS” that will be published in the Springer series Studies in Classification, Data Analysis, and Knowledge Organization.
The new deadline is: 31st October 2019.
We remind you that all papers must be submitted through https://ocs.springer.com/misc/home/DSSR2019.
Special issues of the Electronic Journal of Applied Statistical Analysis, the Italian Journal of Applied Statistics and Social Indicators Research will host a selection of papers presented at the conference.
