| Betreff: | [WI] CFP - Workshop Data Driven Decision Support @ IKnow2017 and Special Issue in Information Technology |
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| Datum: | Wed, 24 May 2017 13:15:43 +0000 |
| Von: | Thalmann, Stefan <stefan.thalmann@tugraz.at> |
| Antwort an: | Thalmann, Stefan <stefan.thalmann@tugraz.at> |
| An: | wi@lists.kit.edu <wi@lists.kit.edu> |
Liebe KollegInnen,
gerne mache ich Sie auf den folgenden CFP aufmerksam:
Work paradigms change significantly in the era of digitization. Due to the increasing complexity raised by personalization of products, shorter innovation cycles and more connected supply chains, requirements for employees are rising steadily. On the one hand, more knowledge needs to be learned in shorter time and on the other hand, the knowledge needed for work tasks is less predictable. As a consequence, increased decision support is needed during the execution of business processes. Further, trends such as the delimitation of employment and employee empowerment require more decentralized decision support. However, digitization also offers opportunities to address these challenges. Especially, the increasing availability of (sensor) data about work process offer manifold opportunities to provide suitable decision support in work processes.
This workshop discusses challenges in regard to digitization in industry as well as office environments and how data-driven solutions can address these challenges. Key questions are: How to make sense of the increasingly growing amount of (sensor) data available in production as well as office environments? How to provide meaningful decision support in work situations? Which data can be used for situation specific decision support and how can this context data be collected, especially with new sensors for retrofitting existing production equipment?
Workshop papers are considered for the special issue “Data-Driven Decision Support“ of the journal “Information Technology” (https://www.degruyter.com/view/j/itit) to be published in 4/2018. The workshop is intended, among others, to give feedback on how to prepare/revise the paper for consideration by the journal.
https://easychair.org/conferences/?conf=iknow2017
Stefan Thalmann, TU Graz, Know Center GmbH & Pro2Future GmbH
Daniel Bachlechner, Fraunhofer ISI
René Peinl, Hochschule Hof
Michael Kohlegger, FH Kufstein
Sebastian Bader, AIFB
Philipp Gölzer, Fraunhofer IIS
Eric, Schoop, TU Dresden
Markus Vorderwinkler, Profactor
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Dr. Stefan
Thalmann
Assistant Professor TU Graz
Institute of Interactive Systems and Data Science
Inffeldgasse 13, 5th floor, 8010 Graz, Austria
Email: stefan.thalmann@tugraz.at