EXTENDED DEADLINE: 01/14/2019!
8th German Workshop on Experience Management (GWEM 2019): Call for Papers
Experience (related to terms such as lessons learned, good practice, tacit knowledge) has long been taken as one of the most important resources for organizations to be successful. The new era of Industry 4.0, IoT and the digital change in general strongly focuses on self-organizing, autonomous and self-adapting systems. Underlying approaches utilize the increasing amount of data being available and advanced data analytics algorithms. Do these developments mean that human insight and vision based on experience will decline in importance? Will big data override experience and intuition and will Industry 4.0 therefore spell the end of decisions based on experience and domain expertise and replace them with decisions based on data and text mining?
There is a large consensus in the knowledge management community that human experience will continue to play an important role for organizations. However, faced with new self-organizing and self-adapting systems, new perspectives and new approaches are needed to capture, share, utilize, and reuse experience in a digital world.
This workshop addresses all aspects of experience management, ranging from primarily ICT-based solutions to approaches that rely more on fostering and enabling social interactions. We especially encourage contributions that deal with the role of human experience in a new world of self-organizing systems and automatic decision-making based on big data.
Topics of Interest
Submissions from all areas contributing to the development and application of experience management (EM) systems are welcome. We explicitly encourage paper submissions from all kinds of disciplines such as computer science, social sciences, mathematics, economics in order to obtain aninterdisciplinary view on the subject.
Topics of interest include but are not limited to:
- Modeling, representing, discovering, sharing and utilizing experience
- Case-Based Reasoning
- Semantic technologies
- Data-driven EM
- Methods and approaches for integrating EM into organizations and their processes
- User acceptance of algorithm-driven decisions
- Explanation-aware computing
- Software engineering aspects of EM systems
- Case studies of EM from any application domain (e.g. finance, industry 4.0, commerce, eHealth, science)
- Aspects of EM in organizations (e.g. demographic shifts and HR challenges)
- EM in society, energy and sustainability
- How to motivate people to exchange their experience
University of Applied Sciences St. Gallen
Institute for Information and Process Management
Jakob Michael Schönborn
University of Hildesheim, Intelligent Information Systems and
Competence Center Case-Based Reasoning, German Research Center of Artificial Intelligence (DFKI)
- Ulrich Reimer, University of Applied Sciences St. Gallen
- Andreas Martin, University of Applied Sciences and Arts Northwestern Switzerland
- Knut Hinkelmann, University of Applied Sciences and Arts Northwestern Switzerland
- Franz Lehner, University Passau
- Ralph Bergmann, University Trier
- Ronald Maier, University Innsbruck
- Andrea Kohlhase, University of Applied Sciences Neu-Ulm
- Bodo Rieger, University Osnabrück
- Klaus-Dieter Althoff, DFKI / University of Hildesheim
- Pascal Reuss, DFKI / University of Hildesheim
- Jakob Michael Schönborn, DFKI / University of Hildesheim
- Joachim Baumeister, denkbares
- Kerstin Bach, Norwegian University of Science and Technology
- Michael Kohlhase, Friedrich-Alexander-University Erlangen-Nürnberg
- Michael Leyer, University Rostock
- Michael Fellmann, University Rostock
- René Peinl, Hochschule Hof
- Klaus North, University of Applied Sciences Rhein-Main
- Hans-Peter Schnurr, semedy
- Angelika Mittelmann, voestalpine Stahl GmbH
- Christian Sauer, University of West London
- Eric Schoop, University Dresden
- Mirjam Minor, University Frankfurt
- Edith Maier, University of Applied Sciences St. Gallen
The target group includes researchers and practitioners who are interested in developing, applying and analyzing EM systems and the scenarios they can be used in. The workshop will be in English so that participants from non-German speaking countries are welcome.
All workshop participants have to register for the WM 2019 conference.
All papers are to be submitted via the EasyChair system.
Papers should be preferably in English and must be in the LNI format (for templates see http://wm2019.fh-potsdam.de/index-en.html#workshops ). Author’s instructions, along with LaTeX and Word macro files, are available at Springer’s website.
Submissions should be original papers that have not already been published elsewhere. However, papers may include previously published results that support a new theme, as long as all past publications are fully referenced.
We accept two types of submissions: Full papers (up to 16 pages) and Short papers (up to five pages). Full papers are for mature work, requiring elaborate explanations of the conceptual background, methodology and data as well as an analysis. Short papers present work in progress, new, yet underdeveloped ideas worth discussing in the workshop.
Submission deadline for workshop contributions: 14. January 2019
Notification of acceptance of the papers: 28. January 2019
Camera-ready copy of the papers: 25. February 2019
GWEM at WM2019 in Potsdam: 18-20 March 2019