About the Joint Workshop on Blockchains for Inter-Organizational Collaboration and Flexible Advanced Information Systems (BIOC & FAiSE 2019)

In this year, the BIOC workshop and the FAiSE workshop are joint into one workshop.

The main goal of the BIOC workshop is to explore the means of automating inter-organizational collaborations with smart contracts and blockchain technology. The goal of this workshop is to promote, establish and speed up blockchain-technology related research, and identify future research questions.

The main goal of the FAiSE workshop is to explore the synergies of the IoT, innovative technologies, and advanced information systems, and to identify concepts and approaches supporting the exploitation of advances in IoT towards enabling flexible information systems.

Call for Papers (BIOC)

Scope

This paper-oriented workshop scientifically addresses recent research efforts in the field of blockchain technology use for cross-organizational collaboration. The workshop focuses on the application of information and communication technology in order to enable organizational and governmental service provisions. The resulting technology-mediated processes are changing the delivery of private and public services as well as the broader interactions between citizens, governments and organizations. More and more countries are considering e-governance solutions as a tool to improve efficiency and transparency of their services. However, there exists a gap of understanding the support of trust and reputation via blockchain solutions that allow for immutable event traceability. The workshop aims for exploring systematic approaches for developing and interrelating blockchain-technology supported services as well as increasing issues concerning blockchain-tech enabled security and privacy of personal data use. In addition, technological advances in the field of big data analysis, blockchains for distributed application deployment, smart contracts, the Internet-of-Things, agent technologies, etc., offer new research directions in the blockchain-technology space for further improvements of existing solutions. The goal of this workshop is to promote, establish and speed up blockchain-technology related research, and identify future research questions. Contributions should focus on clearly stated research questions covering the topics mentioned below. The topics of interest for blockchain-technology research papers include, but are not limited to:

Topics

  • Security and Privacy Management of e-Governance Systems
  • (Smart) Government
  • E-Voting
  • Governmental Decision-making
  • E-Business
  • E-Tax
  • E-Health
  • Identity and Identification Systems
  • Decentralized Autonomous Organization (DAO)
  • Self-Aware Contracts as well as AI and Smart Contracts
  • Interoperability
  • Self-organizing and Evolutionary e-governance
  • Collaboration Models
  • Legal Aspects of blockchain technology
  • Benchmarks and Evaluation Strategies for blockchain e-governance Systems
  • Economics of blockchain e-governance
  • Case Studies for blockchain-based distributed applications deployment
  • Open and Big Data with blockchain technology

Call for Papers (FAISE)

Scope

Due to the recent development of digital systems, IoT-technologies and the uptake of the digitalization wave in industries, massive amount of data and events are being continuously generated and are readily available. These data can be used by organizations to provide smarter and personalized services and products to people and organizations, as well as to improve the efficiency of their work and the value of their business models. The new challenges that information systems are facing in this context are related to both being able to exploit the data stemming from the IoT and the ability to react fast to the changes notified by these data. Therefore the main purpose of the workshop is to provide a forum for discussions on the synergies of the IoT, innovative technologies, and advanced information systems and thus encourage exchange between researchers and practitioners towards identifying concepts and approaches supporting the exploitation of advances in IoT towards enabling flexible information systems. We are especially interested in the reconciliation of the divide between any of the following areas: Digitalization and IoT for smarter and personalized services to people and organizations Flexible Information systems that allow organizations to maintain control and react to constant changes in competitive, rapidly changing environments Data-driven process performance improvement - data analytics and its integration into flexible advanced information systems.

Topics

  • Synergies and Integration of Information Systems and IoT, through e.g. event processing, monitoring, flexibility and other approaches
  • Flexible information systems - engineering aspects and methodologies, techniques and infrastructures
  • Data-driven processes - e.g. modelling, execution, monitoring and flexibility aspects
  • Advanced Information Systems design and engineering principles for data-driven process performance improvement
  • Flexible design and/or execution of processes using different approaches and technologies
  • Lessons learned and case studies showing success stories of synergies between Information Systems, IoT and Business Process Management

Organisation and Committees

Organisers (FAISE)

Dimka Karastoyanova
University of Groningen (RUG)
eMail: d.karastoyanova (at) rug.nl

Luise Pufahl
University of Potsdam
Hasso Plattner Institute
eMail: Luise.Pufahl (at) hpi.de

Stefan Schönig
University of Bayreuth
eMail: stefan.schoenig (at) uni-bayreuth.de

Organisers (BIOC)

Alex Norta
Tallinn University of Technology
eMail: alex.norta.phd (at) ieee.org

Dirk Draheim
Tallinn University of Technology
eMail: dirk.drageim (at) ttu.ee

Benjamin Leiding
University of Göttingen
eMail: benjamin.leiding (at) cs.uni-goettingen.de

Program Committee (FAISE)

  • Vasilios Andrikopoulos, RUG, The Netherlands
  • George Azzopardi, RUG, The Netherlands
  • Hendrik Leopold, VU Amsterdam, The Netherlands
  • Francesca Zerbato, University of Verona, Italy
  • Maria-Eugenia Iacob, Uni TWENTE, The Netherlands
  • Agnes Koschmider, Karlsruhe Institute of Technology, Germany
  • Patricia Lago, VU Amsterdam, The Netherlands
  • Andreas Metzger, PALUNO, Uni DuE, Germany
  • Barbara Pernici, POLIMI, Italy
  • Pierluigi Plebani, POLIMI, Italy
  • Estefanía Serral Asensio, KU Leuven, Belgium
  • Lars Ackermann, University of Bayreuth, Germany
  • Claudio Di Ciccio, WU Vienna, Austria
  • Marco Aiello, University of Stuttgart, Germany
  • Michael Fellmann, University of Rostock, Germany
  • Nick van Beest, Data61, Australia
  • Artem Polyvyanyy, University of Melbourne, Australia
  • Fernanda Gonzalez-Lopez, Pontificia Universidad Católica de Valparaíso, Chile

Program Committee (BIOC)

  • Stefan Schulte, Distributed Systems Group, TU Wien, Austria
  • Matthias Weidlich, Humboldt-Universität zu Berlin, Germany
  • Tijs Slaats, University of Copenhagen, Denmark
  • Cristina Cabanillas, Vienna University of Economics and Business, Austria
  • Xiwei Xu, CSIRO, Australia
  • Jan Mendling, Vienna University of Economics and Business, Austria
  • Florian Daniel, Politecnico di Milano, Italy
  • Luciano Garcia Banuelos, University of Tartu, Estonia
  • Mark Staples, CSIRO, Australia
  • Søren Debois, IT University of Copenhagen, Denmark
  • Mathias Weske, HPI, University of Potsdam, Germany
  • Claudio Di Ciccio, Vienna University of Economics and Business, Austria
  • Marcello La Rosa, The University of Melbourne, Australia
  • Abhishek Dixit, Tallinn University of Technology, Estonia
  • Vipin Deval, Tallinn University of Technology, Estonia
  • Vimal Kumar Dwivedi, Tallinn University of Technology, Estonia

Submission

  • Formal/technical papers, describing original theoretical, methodological or conceptual solutions within the named topics.
  • Empirical/industrial papers, describing present problems or challenges encountered in practice, relate success and failure stories, or report industrial practices.

All submissions must be unpublished and not be under review elsewhere. Papers must be written in English and strictly following Springer LNBIP style. For formatting instructions and templates, please see the Springer Web page: http://www.springer.com/computer/lncs?SGWID=0-164-6-791344-0 The page limit for submitted papers is 12 pages. Papers have to be submitted in PDF format using the submission page in EasyChair.

Submission is done through EasyChair at the following page: https://easychair.org/conferences/?conf=caise19. When submitting your paper, you have to select "2nd Workshop on Flexible Advanced Information Systems".

Accepted papers will be published in the CAiSE 2019 Workshop Proceedings, in Springer Lecture Notes in Business Information Processing (LNBIP, indexed in ISI Proceedings, DBLP, EI and Scopus). At least one author of an accepted paper should register for the conference and present the paper.

Submit Paper at EasyChair

Program (tentative)

Time Authors Title
Monday 3rd of June
Session 1 - BIOC Opening and Keynote
09:00 - 09:10 Opening of BIOC Workshop
09:10 - 10:30 Keynote Marlon Dumas Collaborative Business Process Execution on Blockchain
10:30 - 11:00 Michael Kuperberg, Sebastian Kemper, Cemil Durak Blockchain Usage for Government-issued Electronic IDs: a Survey
11:00 - 11:30 Coffee Break
Session 2 - BIOC Papers
11:30 - 12:00 Thomas Hoffmann Smart Contracts and Void Declarations of Intent
12:00 - 12:30 Mubashar Iqbal, Raimundas Matulevicius Blockchain-based Application Security Risks: A Systematic Literature Review
12:30 - 13:00 Phani Chitti, Jordan Murkin, Ruzanna Chitchyan Data Management: Relational vs. Blockchain Databases
13:00 - 14:30 Lunch
Session 3 - FAiSE Opening and Keynote
14:30 - 14:40 Opening of FAISE Workshop
14:40 - 16:00 Keynote Andreas Metzger Data-driven AI for Self-adaptive Information Systems
16:00 - 16:30 Coffee Break
Session 4 - FAiSE Papers
16:30 - 17:00 Steven Mertens, Frederik Gailly, Geert Poels A Generic Framework for Flexible and Data-Aware Business Process Engines
17:00 - 17:30 Phuong T. Nguyen, Juri Di Rocco, Davide Di Ruscio Building information systems by means of collaborative-filtering recommendation techniques?
17:30 - 17:40 Closing Remarks

Keynote (1)

Prof. Marlon Dumas: Collaborative Business Process Execution on Blockchain

Blockchain platforms allow a set of actors to maintain a ledger of transactions withoutrelying on a central authority and to deploy scripts, called smart contracts, that are executedwhenever certain transactions occur. These features can be used as building blocks tosupport the execution of collaborative business processes between mutually untrustingparties. However, implementing business processes using the low-level primitives provided by blockchain platforms is cumbersome and error-prone. In contrast, established business process management systems, such as those based on the Business Process Model andNotation (BPMN), provide convenient abstractions for rapid development of process-oriented applications. In this talk, I will discuss how to combine the advantages of a business process management system with those of a blockchain platform. As a concrete example, I will present a BPMN execution engine, namely Caterpillar, designed to support collaborative business processeson top of a blockchain platform. Like any BPMN execution engine, Caterpillar supports the creation of instances of a process model and allows users to monitor these process instances and to execute tasks thereof. The specificity of Caterpillar is that the state of each process instance is maintained on the (Ethereum) blockchain and the workflow routing is performed by smart contracts generated by a BPMN-to-Solidity compiler. I will discuss the challenges associated with maintaining the state of process instances in a cost-efficient manner on Ethereum and how to handle the binding between roles to actors in a flexible manner, in order to support dynamic binding, delegation, and revocation.

Keynote (2)

Dr. Andreas Metzger: Data-driven AI for Self-adaptive Information Systems

Artificial Intelligence (AI) offers tremendous potential to benefit citizens, economy and society. From an industrial point of view, AI means algorithm-based and data-driven information systems that provide machines and people with digital capabilities such as perception, reasoning, learning and even autonomous decision making. AI thereby facilitates information systems to draw conclusions, learn, adapt and adjust parameters accordingly. With recent advances in special-purpose hardware and machine learning algorithms, AI is capable of capturing more and more complex problems. This talk will explore the opportunities that AI offers in building self-adaptive information systems. On the one hand, it will present how ensembles of deep neural networks support proactive decision making for business process execution. On the other hand, it will present how reinforcement learning may be employed to build self-learning information systems. These systems learn from every interaction with their environment in order to dynamically improve themselves during operations. The talk closes with a critical look at the challenges entailed in delivering responsible AI-based information systems.

Important Dates:
  • Submission: March 11, 2019
  • Notification: March 30, 2019
  • Camery ready: April 5 2019
  • Workshop Day: June 3, 2019
Submit Paper