Traditionally the management of business operations caters around two key issues: control flow and data. As a result, each of the two has attracted over the past years people both in academia and industry, manifesting itself into a plethora of methods, and tools that have been designed to assist with the management of these two concerns. Yet, the natural and yet independent evolution in both areas has led to a reality in which in many cases the handling of one concern is treated as an afterthought with respect to the other.
Recently however, we see the emergence of paradigms that are aimed to blend the two concerns, seeking for new approaches that may naturally and seamlessly unify the two in order to better streamline the overall complexity in BPM. Contemporary examples include Artifact-Centric BPM, Petri-nets, and Case-Management. Therefore, the DAB workshop is aimed at bringing together researchers and practitioners whose common interest and experience is in the study and development of new foundations, models, methods, and technologies that are intended to uniformly and holistically align data and control flow.

We invite researchers from the BPM field to submit papers that investigate the tight interplay between data and control flow. We aim at discussing the current state of ongoing research, as well as industry needs and sharing practical experiences. The list of topics that is covered by data- and artifact- centric BPM includes, but is not limited to:

Data modeling
Declarative process modeling
Artifact-centric (a.k.a. Business-Entity or BEL) modeling
Flexible process management / Case management
Multi-perspective process mining
Data-aware conformance
Data-aware compliance
Data and processes management for Cloud
Composition and discovery techniques of data-centric processes
Data-centric process monitoring, QoS, SLA
Integration and interoperability of data-/artifact- centric BPM
Foundations to the integration of data and process in systems analysis
Data- & Artifact- centric BPM methods and methodologies
Empirical studies of Data- & Artifact- centric BPM

All workshop papers will be published by Springer as a post-workshop proceedings volume in the series Lecture Notes in Business Information Processing (LNBIP). Hard copies of these proceedings will be shipped to all registered participants approximately four months after the workshops, while preliminary proceedings will be distributed during the workshop.

Invited Speakers

* Alin Deutsch, Department of Computer Science & Engineering, University of California, San Diego, US
* Marlon Dumas, Institute of Computer Science, University of Tartu, Estonia

Workshop Committee

Program Co-Chairs

* Lior Limonad, IBM Haifa Research Lab, Carmel Mountain, Haifa, Israel
* Boudewijn van Dongen, Department of Mathematics and Computer Science, Eindhoven University of Technology, Eindhoven, Nethelands
* Jianwen Su, Department of Computer Science, U C Santa Barbara, US
* Roman Vaculín, IBM T.J. Watson Research Center, Yorktown Heights, New York, US

Program Committee

* Wil van der Aalst, Department of Mathematics and Computer Science, Eindhoven University of Technology, Eindhoven, Nethelands
* Diego Calvanese, Faculty of Computer Science, Free University of Bozen-Bolzano, Bolzano, Italy
* Alessio Lomuscio, Department of Computing, Imperial College London, London, UK
* Richard Hull, IBM T.J. Watson Research Center, Yorktown Heights, New York, US
* Mathias Weske, Business Process Technology Hasso Plattner Institute for It-Systems Engineering, University of Potsdam, Potsdam, Germany
* Barbara Weber, Institute of Computer Science, University of Innsbruck, Innsbruck, Austria
* Victor Vianu, Department of Computer Science and Engineering, U.C. San Diego, CA, USA
* Manfred Reichert, Institute of Databases and Information Systems, Ulm University, Ulm, Germany
* Giuseppe De Giacomo, Department of Computer and System Sciences Antonio Ruberti, Sapienza University of Rome, Rome, Italy
* Karsten Wolf, Universität Rostock, Institut für Informatik, Rostock, Germany
* Theresa Pardo, Center for Technology in Government, University at Albany, Albany, New York