BDCAT 2016 - European Data Science Conference
Date2016-11-07 - 2016-11-08
Deadline2016-07-27
VenueLuxembourg, Luxembourg
Keywords
Websitehttps://www.euads.org
Topics/Call fo Papers
The European Data Science Conference is the inaugural conference of the European Association for Data Science and aims to provide a setting for fostering communication among all stakeholders of Data Science in Europe. The major objective is to bring together renowned experts and young scientists from disciplines that are focused on the acquisition and analysis of (big) empirical data, representatives from industry and politics as well as other stakeholders from the field of Data Science. Numerous invited experts from these areas will contribute to the conference. One of the primary aims of the conference is to initiate and foster discussion on relevant themes in Data Science that are of interest to various empirical disciplines but simultaneously have unsolved problems.
CONFERENCE TOPICS
From an in-depth analysis of methodological approaches and unsolved problems across empirical disciplines, the conference focuses on the following topics which are of actual concern in science and society:
1. The question of trust, transparency and provenance of data including where data come from and by which mechanisms trust in data might be achieved.
2. Legal aspects of Data Science such as data protection, data privacy and data access, among others.
3. The question how data scientists might navigate the complex chain from raw data to actionable outputs and how they might be supported by appropriate tools.
4. The role of Data Science in Medicine and Healthcare with a specific focus on Open medical data and personalized Medicine.
5. The question of what makes Data Science different from other fields such as statistics and how to define the methodological substance of the field.
The European Data Science Conference consists of selected plenary talks, symposia, workshops and panel discussions on the five topics outlined above and an opening talk for the interested public. The conference language is English.
MAIN KEYNOTE SPEAKERS
Michael Berthold, Applied Computer Science, University of Konstanz, Germany
Niels Peek, MRC Health eResearch Centre for North England, University of Manchester, United Kingdom
Walter Radermacher, Director General of the statistical office of the European Union (Eurostat), Luxembourg
Pedro Pereira Rodrigues, Health Information and Decision Sciences department of the Faculty of Medicine, University of Porto, Portugal
Jorge Sanz, National University of Singapore Business Analytics Center, Singapore
PARTICIPATION
People intending to participate are invited to register by sending an email to edsc-AT-uni.lu. Registrations will be handled on a first-come, first-served basis for applicants coming from disciplines that are involved in the acquisition and analysis of data in science and industry.
Young scientists (with or without PhD) are asked to submit a short proposal, maximum one page, explaining their interest in Data Science and briefly describing their work or future planning in this domain. Deadline for submission is September 15, 2016. All submissions will undergo a review process by members of the scientific program committee.
Participation is free of charge.
CONFERENCE LOCATION
The European Data Science Conference hosted by the University of Luxembourg will take place from November 07-08, 2016 at the Neumünster Abbey Cultural Exchange Center in Luxembourg-Grund.
IMPORTANT DATES
November 07-08, 2016
European Data Science Conference (EDSC)
Scientific Program Committee
Serge Allegrezza, National Statistical Institute and Economic Studies (STATEC), Luxembourg
Eric Dubois, Luxembourg Institute of Science and Technology (LIST), Luxembourg
Peter Flach, University of Bristol, United Kingdom
Burkhard Hess, Max Planck Institute Luxembourg for International, European and Regulatory Procedural Law, Luxembourg
Katja Ickstadt, TU Dortmund University, Germany
Sabine Krolak-Schwerdt, University of Luxembourg, Luxembourg
Berthold Lausen, University of Essex, United Kingdom
Hilmar Schneider, Institute for the Study of Labor (IZA), Germany
Myra Spiliopoulou, Otto-von-Guericke University Magdeburg, Germany
Claus Weihs, TU Dormund University, Germany
Local Organizing Committee
Serge Allegrezza, National Statistical Institute and Economic Studies (STATEC), Luxembourg
Matthias Böhmer, University of Luxembourg, Luxembourg
Eric Dubois, Luxembourg Institute of Science and Technology (LIST), Luxembourg
Sabine Krolak-Schwerdt, University of Luxembourg, Luxembourg
Hilmar Schneider, Institute for the Study of Labor (IZA), Germany
CONFERENCE TOPICS
From an in-depth analysis of methodological approaches and unsolved problems across empirical disciplines, the conference focuses on the following topics which are of actual concern in science and society:
1. The question of trust, transparency and provenance of data including where data come from and by which mechanisms trust in data might be achieved.
2. Legal aspects of Data Science such as data protection, data privacy and data access, among others.
3. The question how data scientists might navigate the complex chain from raw data to actionable outputs and how they might be supported by appropriate tools.
4. The role of Data Science in Medicine and Healthcare with a specific focus on Open medical data and personalized Medicine.
5. The question of what makes Data Science different from other fields such as statistics and how to define the methodological substance of the field.
The European Data Science Conference consists of selected plenary talks, symposia, workshops and panel discussions on the five topics outlined above and an opening talk for the interested public. The conference language is English.
MAIN KEYNOTE SPEAKERS
Michael Berthold, Applied Computer Science, University of Konstanz, Germany
Niels Peek, MRC Health eResearch Centre for North England, University of Manchester, United Kingdom
Walter Radermacher, Director General of the statistical office of the European Union (Eurostat), Luxembourg
Pedro Pereira Rodrigues, Health Information and Decision Sciences department of the Faculty of Medicine, University of Porto, Portugal
Jorge Sanz, National University of Singapore Business Analytics Center, Singapore
PARTICIPATION
People intending to participate are invited to register by sending an email to edsc-AT-uni.lu. Registrations will be handled on a first-come, first-served basis for applicants coming from disciplines that are involved in the acquisition and analysis of data in science and industry.
Young scientists (with or without PhD) are asked to submit a short proposal, maximum one page, explaining their interest in Data Science and briefly describing their work or future planning in this domain. Deadline for submission is September 15, 2016. All submissions will undergo a review process by members of the scientific program committee.
Participation is free of charge.
CONFERENCE LOCATION
The European Data Science Conference hosted by the University of Luxembourg will take place from November 07-08, 2016 at the Neumünster Abbey Cultural Exchange Center in Luxembourg-Grund.
IMPORTANT DATES
November 07-08, 2016
European Data Science Conference (EDSC)
Scientific Program Committee
Serge Allegrezza, National Statistical Institute and Economic Studies (STATEC), Luxembourg
Eric Dubois, Luxembourg Institute of Science and Technology (LIST), Luxembourg
Peter Flach, University of Bristol, United Kingdom
Burkhard Hess, Max Planck Institute Luxembourg for International, European and Regulatory Procedural Law, Luxembourg
Katja Ickstadt, TU Dortmund University, Germany
Sabine Krolak-Schwerdt, University of Luxembourg, Luxembourg
Berthold Lausen, University of Essex, United Kingdom
Hilmar Schneider, Institute for the Study of Labor (IZA), Germany
Myra Spiliopoulou, Otto-von-Guericke University Magdeburg, Germany
Claus Weihs, TU Dormund University, Germany
Local Organizing Committee
Serge Allegrezza, National Statistical Institute and Economic Studies (STATEC), Luxembourg
Matthias Böhmer, University of Luxembourg, Luxembourg
Eric Dubois, Luxembourg Institute of Science and Technology (LIST), Luxembourg
Sabine Krolak-Schwerdt, University of Luxembourg, Luxembourg
Hilmar Schneider, Institute for the Study of Labor (IZA), Germany
Other CFPs
- 1st International Workshop on QUALITY OF SERVICE IN SMART CITIES (QoS-SC 2016)
- 3rd IEEE/ACM International Conference on Big Data Computing, Applications and Technologies (BDCAT)
- ACM International Workshop on Information Centric Networking for 5G (IC5G)
- 13th European Workshop on Reinforcement Learning (EWRL 2016)
- 2016 IEEE Symposium on Computational Intelligence and Data Mining
Last modified: 2016-07-18 00:10:46