MoDaC2020: 3rd International Workshop on Services for Mobile Data Collection Leuven, Belgium, August 9-12, 2020 |
Conference website | http://modac2020.dbis.info/ |
Submission link | https://easychair.org/conferences/?conf=modac2020 |
Abstract registration deadline | February 19, 2020 |
Submission deadline | February 19, 2020 |
About MoDaC 2020
Service computing has fundamentally changed the development of software systems. In this context, „the“ services provide methods, tools, and concepts that can be used to easily create distributed and heterogeneous cutting-edge applications. In line with this trend, the service-oriented paradigm is an enabler in many scenarios where a huge amount of data has to be collected or processed. As a consequence, services are commonly used in challenging data collection scenarios.
The widespread distribution of smart mobile devices constitutes another fundamental trend. The use of smart mobile devices in daily life has raised many new opportunities on one hand (e.g., novel data), but remains many question unanswered on the other (e.g., security, addiction, etc.). In life sciences, for example, smart mobile devices can be used to collect new kinds of data. As data is collected in daily life situations, contextual data is only one direction that provides the base for a new kind of data. Another example for life science scenarios constitutes the moment-to-moment variability of many phenomena that smart mobile devices can capture for the first time at rather low costs. As service technology basically improves data collection procedures and smart mobile device technology offers completely new data collection opportunities, their combination is very promising. How data collection services can be efficiently deployed to smart mobile devices or how infrastructural characteristics may change are only two issues that have to be addressed. Furthermore, when realizing sophisticated mobile data collection services, numerous new technical issues arise. For example, as many real-world projects require the support of different mobile operating systems, platform-specific peculiarities must be properly handled. Existing approaches often rely on specifically tailored mobile services. As a drawback, changes to the data collection procedure result in costly code adaptations. To remedy such drawbacks, new service-driven approaches are required.
This workshop will serve as a forum to present and discuss original contributions, including theoretical and empirical evaluations, as well as practical and industrial experiences, with emphasis on results that solve open research problems when combining services and smart mobile device technology to deal with challenges on data collection issues. On the other, the workshop encourages researchers to submit position papers that pose a new direction or present a controversial point of view on these subjects and related fields.
Topics
Specific topics of interest include, but are not limited to:
Mobile Service Infrastructures
- Cross-platform aspects
- Execution middleware
- Monitoring
- Quality of service
- Governance
- Cloud aspects
- Offline-Management
- Reliability
- Recovery
- Availability
Mobile Crowdsensing Services
- Social sensing
- Medical sensing
- Vital sensing
- Environmental sensing
- Incentive mechanisms
- Collaborative learning
Mobile Service Data Collection Procedure
- Data Quality
- End-user involvement
- Data visualization
- Collection instrument
- Mining and analytics
- Mobile technology addiction
- Recommender systems
- Gamification aspects
- Change management
- Pattern recognition
- Multilingualism
- Data validity
- Interaction patterns
- Sensor aspects
- Wearables
Mobile Service Engineering
- Model-driven issues
- Interface design
- Scalability
- Performance issues
- Versioning
- Evolvement
- Cross-platform aspects
Mobile Service Security
- Security
- Privacy
- Trust
- Anonymization
- Pseudonymization
Mobile Service Scenarios
- Life sciences
- Psychological trials
- Logistics
- Smart cars
- Smart cities
- Smart factory
- Smart government
- Predictive maintenance
- Patient empowerment
- Clinical trials
Submission Guidelines
Authors are requested to submit papers reporting original research results. The page limit for papers should not exceed 6 pages. Papers should be prepared using Elsevier (MS Word or Latex Template ). Elsevier author guidelines of Procedia are available at: (Author Guidelines). Authors are requested to submit their papers in PDF format only before the deadline (MODAC 2020 deadline). Papers must be submitted via Easy chair using the following link: Modac2020
Committees
Program Committee
- Manfred Reichert, Ulm University, Germany
- Winfried Schlee, University Hospital of Regensburg, Germany
- Thomas Probst, Danube University Krems, Austria
- Johannes Schobel, Ulm University, Germany
- Marc Schickler, Ulm University, Germany
- Michael Stach, Ulm University, Germany
- Felix Beierle, TU Berlin, Germany
- Ralph Bobrik, Swiss RE, Switzerland
- Patrick Neff, University Hospital of Regensburg, Germany
- Carsten Vogel, University of Würzburg, Germany
Organizing committee
- Rüdiger Pryss, University of Würzburg, Germany
Publication
All accepted papers will be published by Elsevier Science in the open-access Procedia Computer Science series on-line. Procedia Computer Science is hosted by Elsevier and on Elsevier content platform ScienceDirect and will be freely available worldwide. All papers in Procedia will be indexed by Scopus and by Thomson Reuters' Conference Proceeding Citation Index. All papers in Procedia will also be indexed by Engineering Village (Ei). This includes EI Compendex. Moreover, all accepted papers will be indexed in DBLP. The papers will contain linked references, XML versions and citable DOI numbers. You will be able to provide a hyperlink to all delegates and direct your conference website visitors to your proceedings.
Contact
All questions about submissions should be emailed to ruediger.pryss@uni-wuerzburg.de