1st International Workshop on Data Science:
Methodologies and Use-Cases (DaS 2017) 
 September 24, 2017, Nicosia, Cyprus

 In conjunction with the 21th European Conference on 
Advances in Databases and Information Systems (ADBIS 2017)
September 24-27, 2017, Nicosia, Cyprus


Workshop overview

Data science is an interdisciplinary field about scientific processes, methodologies, and systems to extract useful knowledge or insights from data in various forms. Data can be analyzed using data mining, machine learning, data analysis and statistics, optimizing processes and maximizing the knowledge exploitation in real-life settings.

DaS 2017 is a workshop aimed at fostering and sharing research and innovation on data science. The workshop will allow researchers and practitioners to exchange their ideas and experiences on designing and developing data science applications, to discuss the main open issues and to share novel solutions for data management and analytics.

Researchers are encouraged to submit their papers describing systems, platforms, algorithms, methodologies and applications addressing all facets of a data-driven technological solution. Industrial implementations of data science applications, design and deployment experience reports on various issues raising in data science projects are particularly welcome. We call for research and experience papers as well as demonstration proposals covering any aspect of a data science application (e.g., smart cities, e-commerce, social networks, bio-sciences and healthcare, business analytics and finance, Internet of Things).


Topics of interest

Topics of interest for this workshop include but are not limited to the following:

  • Research challenges on data management and analytics
  • Methodologies, models, algorithms, and architectures for data science
  • Scalable and/or descriptive data mining and Machine learning techniques for knowledge discovery
  • Cloud computing techniques for data science
  • Parallel and distributed computing for data science
  • Big Data frameworks and architectures
  • Data warehouses and large-scale databases
  • Personalization and recommendation techniques for Big Data
  • Visualization methods for data-intensive applications
  • Case studies on data management and analytics for small and big data
  • Experiences with data-driven project development and deployment

 In one of – though not limited to – the following application scenarios:

  • Bio-sciences and healthcare
  • Internet of Things
  • Urban economy and urban environments
  • Financial applications
  • Business analytics and finance
  • User-generated content (like tweets, micro-blog)
  • Industry 4.0

Important dates

  • Submission Deadline: June 10th, 2017 
  • Acceptance Notification: June 20th, 2017 
  • Camera-Ready Submission: June 25th, 2017

Submission instructions

 Submissions should present original results and substantial new work not currently under review or published elsewhere. This workshop accepts:

 Research papers (up to 10 pages) including novel approaches for data science methodologies and algorithms.

  • Application papers (up to 5 pages) describing data science use-cases.
  • Industrial papers (up to 4 pages) describing experiences in the industry sectors.
  • Demo proposals (up to 2 pages) describing the demo flow.

 Papers must comply with the Springer formatting guidelines (instructions for authors are available at http://www.springer.com/computer/lncs?SGWID=0-164-12-73062-0). Papers should be formattex in LATEX and submitted in PDF format using the online submission system https://easychair.org/conferences/?conf=das2017



Workshop papers will be published by Springer-Verlag in the  Communications in Computer and Information Science (CCIS) series.

The authors of the best workshop papers will be invited to prepare extended versions of their papers after the workshop. Following an additional round of reviews, the extended papers  will appear in a special issue of Information System frontiers, Springer (Impact Factor = 0.761).

The authors of the best workshop papers will be invited to prepare extended versions of their papers after the workshop. Following an additional round of reviews, the extended papers will appear in one of the following journals:

  • International Journal of Applied Mathematics and Computer Science (AMCS) (De Gruyter), 5-Year Impact Factor: 1.151
  • Foundations of Computing and Decision Sciences (De Gruyter)

Workshop Co-Chairs

Tania Cerquitelli (Politecnico di Torino, Italy. E-mail: tania DOT cerquitelli AT polito DOT it)
Silvia Chiusano (Politecnico di Torino, Italy. E-mail: silvia DOT chiusano AT polito DOT it)
Natalija Kozmina (University of Latvia, Latvia. E-mail: natalija DOT kozmina AT lu DOT lv)

Program Committee

Julien Aligon (University of Toulouse - IRIT, France)
Antonio Attanasio (Istituto Superiore Mario Boella, Italy)
Agnese Chiatti (Pennsylvania State University, USA)
Evelina Di Corso (Politecnico di Torino, Italy)
Javier A. Espinosa-Oviedo (Barcelona Supercomputing Center, Spain)
Goran Falkman (University of Skovde, Sweden)
Fabio Fassetti (Università della Calabria, Italy)
Patrick Marcel (University Francois Rabelais of Tours, France)
Kjetil Norvag (Norwegian University of Science and Technology, Norway)
Erik Perjons (Stockholm University, Sweden)
Emanuele Rabosio (Politecnico di Milano, Italy)
Francesco Ventura (Politecnico di Torino, Italy)
Gatis Vitols (Latvia University of Agriculture, Latvia)
Xin Xiao (Huawei Technologies Co., Ltd., China)
Josè Luis Zechinelli Martini (Universidad de las Americas Puebla, Mexico).


 Contact Information

If you have any question or information request on DaS 2017 workshop, please send an email to tania DOT cerquitelli AT polito DOT IT.