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2nd International Conference on IoT in Urban Space (Urb-IoT 2016)
Organised by European Alliance for Innovation
In-cooperation with ACM SIGAPP, SIGCHI and SIGSPATIAL
May 24/25, Tokyo, Japan
Paper/poster/demo Submission Deadline: February 7
Urban spaces are the man made microcosms where a number of entities interact with each other to offer citizens a variety of services, for instance, buildings and infrastructure, transportation, utility, public safety, healthcare, education. The interplay between this multitude of connecting entities creates a complex system with dynamic human, material, and digital flows. By 2050 the world's urban population is expected to grow by 72%. This steep growth creates an unprecedented urge for understanding cities to enable planning for the future societal, economical and environmental well being of their citizens. The increasing deployments of Internet of Things (IoT) technologies and the rise of so-called “Sensored Cities” are opening up new avenues of research opportunities towards that future. Although, there have been a number of deployment of diverse IoT systems in the urban space, our understanding of these systems and their implications has just scratched the surface.
Urb-IoT is a new conference that aims to explore these dynamics within the scope of the Internet of Things (IoT) and the new science of cities. The goal of the conference is to solicit original and inspiring research contributions from technology experts, designers, researchers, urban planners, and architects in academia and industry. Bringing together practitioners and researchers to share knowledge, experiences, and best practices, Urb-IoT 2016 seeks multi-disciplinary contributions in the area of:
- Citizen Awareness and Engagement: Methods and studies for citizen involvement through participatory sensing or crowd-sourcing for urban tasks, as well as behavioural change of the citizen through awareness.
- Urban Analytics: Understanding the massive digital traces created by IoT in the urban landscape through big data analytics.
- IoT Applications and Services in Urban Context: Urban technologies and applications that challenge the state of the art and benefit citizens, decision and policy makers, and urban planners.
Urb-IoT was started at 2014 with more than 50 participants from various international countries, and with presentations of 15 accepted papers from 58 submissions. You can access the publication in ACM Digital Library: http://dl.acm.org/citation.cfm?id=2694768
In Urb-IoT 2016, we also expect to have great research and experiences papers on this field, and share and discuss our latest research issues and ideas with various participants leading this area.
Topics are themed by urban space and include, but are not limited to:
- Monitoring the pulse of the city
- Fusion of heterogeneous urban sources
- Understanding urban data using machine learning and mining techniques
- Visual analytics of urban data
- City as a platform
- Participatory and crowd sourcing techniques
- Incentification and gamification
- Citizen and crowd influence and behavioural change
- Data-driven urban planning and design
- Crowd behaviour capturing and modelling
- Urban mobility and intelligent transportation systems
- Smart cities
- Real time urban information systems
- Context awareness in urban systems
- Privacy and data protection
*** Papers Submissions ***
All papers will be reviewed by an international program committee with the appropriate expertise. At least two members of the Program Committee and a set of external expert reviewers will review submitted papers. At a PC meeting, the committee will select the papers to be presented at Urb-IoT 2016. Research contributions will be selected on the basis of novelty, technical merit, and a clear presentation.
Submissions must clearly articulate how they relate to solve a particular problem in the scope of urban spaces. Contributions describing the role of IoT in understanding urban dynamics as well as real world systems in sensing and interpreting city scale signal are particularly of interest.
Submitted papers for review must not exceed six (6) pages and should be in PDF and formatted in the Double Column format. Urb-IoT 2016 adopts a double-blind process for submitted contributions. Authors' names and their affiliations must not be revealed or mentioned anywhere in the submission. Detailed format and submission instructions including style templates for MS Word and LaTex are provided at the conference website.
*** Posters/Demonstrations Submissions ***
In addition to papers, we also have poster/demonstration session in the conference. Posters/Demonstration are also an important part of Urb-IoT program. They provide researchers with an opportunity to present their latest, cutting-edge research. Poster/Demonstration papers must not exceed three (3) pages with same format of the regular papers, and also will be reviewed by the program committee.
All accepted papers will be published in Springer publishing and ACM Digital Library.
February 7 : Paper/Poster/Demonstration Submission Deadline
March 7 : Acceptance & Notification
March 21: Camera Ready Deadline
- Professor Licia Capra (University College of London)
- Professor Ryosuke Shibasaki (The University of Tokyo)
Program Committees (To be completed)
Afra Mashhadi, Bell Labs
Florian Michahelles, Siemens Corporation
Akhil Mathur, Bell Labs
Niwat Thepvilojanapong, Mie University
Shinichi Konomi, University of Tokyo
Ulf Blanke, ETH Zźrich
Sarah Gallacher, UCL
Kristof Van Laerhoven, University of Freiburg
Lawrence O'Gorman, Bell Labs
Masamichi Shimosaka, Tokyo Institute of Technology
Akihito Sudo, The University of Tokyo
Stefan Van Der Spek, Delft University of Technology
Licia Capra, University College London
Tadashi Okoshi, Keio University
Susanna Pirttikangas, University of Oulu
Hitomi Takahashi, IBM Research - Tokyo
Yutaka Arakawa, Nara Institute of Science and Technology
Fahim Kawsar, Bell Labs
Petteri Nurmi, Helsinki Institute for Information Technology HIIT
Gerd Kortuem, Open University
Rodger Lea, University of British Columbia, Canada
Junehwa Song, KAIST
David Chu, Microsoft Research
Naonori Ueda, NTT Communication Science Laboratories
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