Workshop on Big (and Small) Data in Science and Humanities

BigDS 2017 @ BTW 2017, Stuttgart, Germany

Anika Groß, Birgitta König-Ries, Peter Reimann, Bernhard Seeger

http://btw2017.informatik.uni-stuttgart.de/?pageId=BigDS

The importance of data has dramatically increased in almost all scientific disciplines over the last decade, e.g. in meteorology, genomics, complex physics simulations, biological and environmental research, and recently also in humanities. This development is due to great advances in data acquisition and data accessibility, e.g. improvements in remote sensing, powerful mobile devices, popularity of social networks and the ability to handle unstructured data (including texts). On the one hand, the availability of such data masses leads to a rethinking in scientific disciplines on how to extract useful information and on how to foster research. On the other hand, researchers feel lost in the data masses because appropriate data management, integration, analysis and visualization tools have not been available so far. However, this is starting to change with the recent development of big data technologies and with progress in natural language processing, semantic technologies and others that seem to be not only useful in business, but also offer great opportunities in science and humanities. Scientific workflows need to be realized as flexible end-to-end analytic solutions to allow for complex data processing, integration, analysis and visualization of Big Data in various application domains.

This workshop intends to bring together scientists from various disciplines with database researchers to discuss real-world problems in data science as well as recent big data technology. The workshop will consist of three parts: inspiring invited talks from international experts, presentation of accepted workshop papers and concrete working groups on challenging subjects.

Topics of Interest

In the context of big and small data in science and humanities, the scope of the workshop includes, but is not limited to:

• Big Data architectures for research
• Design, implementation, optimization of scientific workflows
• Data integration for scientific applications
• Data archives, data repositories, data governance
• Data provenance, data quality and data curation
• Natural language processing, text analytics
• Semantic technologies
• Low-latency processing of scientific data streams
• Transformation & exchange of very large scientific data
• Scalable data analytics
• Predictive models in science
• Scalable visualization and visual analytics
• User interfaces for big data
• Case studies and best practices of big data in science and humanities
• Big Data and grand challenge science questions
• New applications in humanities and social sciences

Submission Guidelines

Submitted papers will be refereed by the workshop Program Committee. Accepted papers will appear in the BTW’17 Workshops proceedings, published as part of LNI. The papers should be written in German or English and adhere to the LNI formatting guidelines. Research and Experience papers are limited to 10 pages, Position papers to 5 pages.

Research papers must be an original unpublished work and not under review elsewhere. Experience reports must be stated as such and a comprehensive discussion of the taken approach, experiences, and its assessment are expected. All papers and reports must be submitted as PDF documents through https://easychair.org/conferences/?conf=bigdsbtw2017

Authors of accepted high-quality papers will be invited to submit an extended version of the paper for publication in Datenbank Spektrum.

Workshop Agenda (preliminary)

• Invited talks
• Presentation of accepted workshop papers
• Discussion Round: Participants will brainstorm for open research questions and will then form groups to discuss about possible solutions and future directions.

Important Dates

Workshop Organizers

• Anika Groß, Universität Leipzig
• Birgitta König-Ries, Friedrich-Schiller-Universität Jena
• Peter Reimann, Universität Stuttgart
• Bernhard Seeger, Philipps-Universität Marburg

Program Committee

• Alsayed Algergawy, Univ. Jena
• Peter Baumann, Jacobs Universität
• Matthias Bräger, CERN
• Thomas Brinkhoff, FH Oldenburg
• Michael Diepenbroeck, Alfred-Wegner-Institut, Bremerhaven
• Jana Diesner, University of Illinois at Urbana-Champaign
• Christoph Freytag, Humboldt Universität Berlin
• Michael Gertz, Univ. Heidelberg
• Anton Güntsch, Botanischer Garten und Botanisches Museum, Berlin-Dahlem
• Thomas Heinis, Imperial College, London
• Andreas Henrich, Universität Bamberg
• Jens Kattge, Max-Planck-Institut für Biogeochemie
• Alfons Kemper, TU München
• Meike Klettke Universität Rostock
• Frank Leymann, Universität Stuttgart
• Bertram Ludäscher, University of Illinois at Urbana-Champaign
• Alex Markowetz, Univ. Bonn
• Jens Nieschulze, Univ. Göttingen
• Eric Peukert, Universität Leipzig (ScaDS Dresden/Leipzig)
• Kai-Uwe Sattler, TU Ilmenau
• Uta Störl, Hochschule Darmstadt
• Andreas Thor, Hochschule für Telekommunikation Leipzig