IWSC 2017
3rd International Workshop on Smart Cities: People, Technology, and Data
In conjunction with IEEE Big Data 2017   |   December 11-14, 2017   |   Boston, MA, USA

About IWSC 2017

People are the center and main asset of our cities, whose activities are smartly collected as data by Internet of Things technologies. Such a technology rapidly increases the number and type of sensors and enables us to obtain not only large volume data but also data with plenty of velocity, variety, and veracity. Big Data has a possibility to engage citizens, government and companies in transforming current cities in a more livable style. To accomplish this type of a visionary city, a smart eco-system is important to construct sensor monitoring systems for gathering Big Data, to analyze such Big Data for discovering the potential value of the city, and to communicate with citizens and governments, as well as companies via applications. This workshop focuses on the complex interplay among technologies, Big Data, and citizens. We explore how citizens can be engaged to co-design smart city services and discuss how technology can be harnessed to meet their needs. By soliciting experiences papers from leading smart city testbeds and then encouraging detailed discussion by practitioners and researchers, we aim to develop guidelines and lessons that grow this community.

Call for Papers

The workshop is intended to be a forum to share the experiences about smart city technologies and its applications. The main topics of the workshop can be categorized as:
Smart city systems, middleware and networking. Smart cities offer unique problems for system researchers. A combination of highly distributed, loosely coupled and deeply heterogeneous infrastructure often operating as vertically integrated silos requires a system of systems approach. When coupled with a focus on participatory and user-in-the-loop citizen engagement, researchers are forced to re-examine key aspects of the system design. The workshop explores technologies and deployment experiences aiming to offer lessons and best practices for future research.
Smart city data collection and Big Data analysis. New types of data collection and analysis technologies/methodologies are required to create people/citizen-centric services. Specifically, not only existing participatory sensing and opportunistic sensing, but also other types of new sensing approaches are discussed in this workshop.
Smart city application and field experiences. Smart city applications need to be validated in real-world environments involving citizens in the entire application development chain: from the identification of use cases, technical requirements and citizens insights to the evaluation and validation of those applications by the citizens themselves. The workshop invites papers sharing results of smart city applications and experimentations performed in lab and at city scale, in particular with real user involvement. Not only technical validation, but also assessment results of non-technical aspects such as usage, social acceptance, privacy or ethics related issues are particularly encouraged. We encourage work whose approach understands that cities are places where people live, enjoy and work and ICT is there to increase the quality of their life.

Topics of Interest

  • Communication protocols
  • Mobility management
  • Internet of Things in cities
  • Middleware technologies
  • Security and privacy
  • Cloud Computing integration
  • Testbeds, deployments and experiments
  • Open data and measurement
  • Machine Learning
  • Data Mining
  • Dialog and interactive systems
  • Machine translation
  • City context analysis, visualization, and applications
  • Civic empowerment and engagement
  • Citizen health and lifestyle enhancement
  • Safety and disaster management

Paper Submission

Prospective authors are invited to submit high-quality manuscripts presenting original work, on-going projects, and case study results in the abovementioned topics (but not limited to them). Papers must be formatted according to the IEEE two-column manuscript style, being at most 6-pages long and written in English. Contributions should be submitted using the online submission system available at the CyberChair platform. All submissions will be evaluated by at least three members of the Program Committee and the accepted ones will be included in the Workshop Proceedings, to be published by IEEE Computer Society Press. The workshop organizers will also have the discretion of editing selected papers (after their expansion and revision) into books or special journal issues.

Important Dates

  • Paper submission: October 10, 2017 (EST/GMT-5)
  • Notification of acceptance: November 1, 2017
  • Camera-ready due: November 15, 2017
  • Workshop session: December 11-14, 2017 (exact day to be confirmed)

Program Co-Chairs

  • Masaki Ito (University of Tokyo, Japan)
  • Antonis Litke (National Technical University of Athens, Greece)

Program Committee

  • Futoshi Naya (NTT Communication Science Labs., Japan)
  • Fuyuki Ishikawa (National Institute of Informatics, Japan)
  • Ivanovitch Silva (Federal University of Rio Grande do Norte, Brazil)
  • Jin Nakazawa (Keio University, Japan)
  • Makoto Onizuka (Osaka University, Japan)
  • Martino Maggio (Engineering Ingegneria Informatica S.p.A., Italy)
  • Masayuki Iwai (Tokyo Denki University, Japan)
  • Kiev Gama (Federal University of Pernambuco, Brazil)
  • Nelio Cacho (Federal University of Rio Grande do Norte, Brazil)
  • Panagiotis Tsarchopoulos (Aristotle University of Thessaloniki, Greece)
  • Paulo Ferreira (INESC-ID/University of Lisbon, Portugal)
  • Stergios Anastasiadis (University of Ioannina, Greece)
  • Till Riedel (Karlsruhe Institute of Technology, Germany)

Program

To be announced

Organization

Workshop Co-Chairs

Frederico Lopes (UFRN, Brazil)
Koh Takeuchi (NTT R&D, Japan)

Publication Chair

Yasue Kishino (NTT R&D, Japan)

Program Co-Chairs

Masaki Ito (University of Tokyo, Japan)
Antonis Litke (NTUA, Greece)

Web Chair

Everton Cavalcante (UFRN, Brazil)

Steering Committee

Rodger Lea (University of British Columbia, Canada)
Naonori Ueda (NTT R&D, Japan)
Takuro Yonezawa (Keio University, Japan)