posted by user: itukaleidoscope || 1651 views || tracked by 1 users: [display]

Kaleidoscope 2017 : ITU Kaleidoscope 2017 - Challenges for a data-driven society

FacebookTwitterLinkedInGoogle

Link: http://www.itu.int/go/K-2017
 
When Nov 27, 2017 - Nov 29, 2017
Where Nanjing, China
Submission Deadline Jun 19, 2017
Notification Due Sep 18, 2017
Final Version Due Oct 6, 2017
 

Call For Papers

Call for Papers

Kaleidoscope 2017: Challenges for a data-driven society is the ninth in a series of peer-reviewed academic conferences organized by ITU
to bring together a wide range of views from universities, industry and research institutions. The aim of the Kaleidoscope conferences is to identify
emerging developments in information and communication technologies (ICTs) and, in particular, areas in need of international standards to aid the
healthy development of the Information Society.

Theme:
More data have been produced over the last two years than over the entire previous history of humanity. The volume of data that networks transport
continues to soar to previously unimaginable heights. Emerging technological developments, specifically smart applications (e.g. smart cities and the
smart grid) and the Internet of Things (IoT), will further fuel this trend.

This exponential growth and availability of data, along with enhanced collecting, processing and analytics capabilities, have opened up new frontiers in
sustainable development. But globally accepted standards are needed to avoid the development of incompatible data silos and to establish a universal,
shared and integrated data ecosystem that allows the deployment of the accumulated data in a highly secure environment, for the benefit of all.

The questions that need to be answered in this context include, among many others:

- Which technical challenges need to be overcome to encourage data portability, to share and aggregate data and to eventually enable interoperability of different data ecosystems?
- What are the legal frameworks required to build a universal, shared and integrated data ecosystem?
- What are the technological advances required to make sense of the immense volume of data available?
- What type of standards are needed for the analysis of the data and the interpretation of results?
- Are (telecommunication/ICT) standards organisations qualified to address the problems associated with data production, dissemination and storage?
- What are the synergies, if any, between the industry’s view of data as a source of competitive advantage and the public sector’s view of data as a public good?
- How can end-users receive equitable value in return for generating data?
- How can standards and regulation protect individual users’ data across multiple organisational and geographic boundaries? How can trust be
established in the provided level of protection?

Objective:
Kaleidoscope 2017 calls for original academic papers that offer innovative and bold approaches relevant to technology, business and policy aspects of data management and analysis and encourage the development of applications and services building on data technologies to improve society.

Audience:
Kaleidoscope 2017 targets specialists in the fields of ICT and socioeconomic development, including researchers, academics, students, engineers, policymakers, regulators, innovators and futurists.

Submission of papers:
Prospective authors from ITU Member States are invited to submit full, original papers. The submission should be within eight pages, including a summary and references, using the template available on the event website.
All papers will go through a double-blind peer-review process. Submission must be made electronically; see http://itu.int/go/K-2017 for more details on online submission (EDAS). Paper proposals will be evaluated according to content, originality, clarity, relevance to the conference’s theme and, in particular, significance to future standards.

Publication and presentation:
Accepted and presented papers will be published in the Conference Proceedings. In addition, extended versions of selected papers will be considered for publication in the International Journal of Technology Marketing, the International Journal of Standardization Research, or the Journal of ICT Standardization.

Awards:
The Steering and Technical Programme Committees will award the authors of the three best papers. In addition, young authors of up to 30 years of age presenting accepted papers will receive Young Author Recognition certificates.

Keywords:
Information and communication technologies (ICTs), standards, standardization, technological innovation, information society, converging technologies, big data, analytics, data mining, database, open data platform, cloud computing, ubiquitous networks, Internet of Things, e-applications, trustworthiness, security, privacy, reliability, smart grid, mobile banking services, radio spectrum, sustainability, development, access, equality, inclusiveness.

Suggested (non-exclusive) list of topics:
Track 1: Network infrastructure and architecture for data
- Network architecture design, data-driven networking
- Distributed systems, parallel and distributed computing
- Cloud computing techniques for data management
- Data in mobile and pervasive computing
- Data migration and backup
- Data synchronization
- Access control
- Trusted computing, network security and privacy
- Network performance analysis
- Requirements for data storage and exchange
- Functional architecture for big data as a service (DaaS)
- Requirements for data quality and provenance
- Requirements for open data platforms
- Wireless sensor and actuator networks
- Energy efficient, sustainable power management

Track 2: Data applications and services
- Data retrieval, processing, analysis, and analytics
- Data semantics, interoperability, search and mining
- E-services
- Internet of Things (IoT)
- Data as a service (DaaS)
- Data for industry, government and society
- Data for smart sustainable cities
- Data for research, science and technology

Track 3: Social, economic, legal, policy and environmental aspects of standards for data access, use and management - In co-operation with SIIT 2017
- Data standardization, policies and regulation
- Legal aspects of standards and standardization
- Standardization management and strategies
- Data ownership models, open data licensing
- Business models for data and open data
- Inclusiveness, affordability and access to data
- Security and privacy issues
- Green, energy-efficient models and sustainability issues for data
- Open data for education, research and public good


General Chairman:
Zhen Yang (President of Nanjing University of Posts and Telecommunications, China)

Steering Committee:
Christoph Dosch (ITU-R Study Group 6 Vice-Chairman; IRT GmbH, Germany)
Kai Jakobs (RWTH Aachen University, Germany)
Mitsuji Matsumoto (Waseda University, Japan)
Mostafa Hashem Sherif (AT&T, USA)

Host Committee:
Chairman: Guo-Ping Jiang (Vice President of Nanjing University of Posts and Telecommunications, China)

Technical Programme Committee:
Chairman: Kai Jakobs (RWTH Aachen University, Germany)

The list of Technical Programme Committee members is available at:
http://itu.int/en/ITU-T/academia/kaleidoscope/2017/Pages/progcom.aspx.

Kaleidoscope is technically co-sponsored by IEEE, IEEE Communications Society & SIIT2017 and it is hosted by Nanjing University of Posts and Telecommunications, China.

Related Resources

MCMS 2024   МЕDIA AND CHALLENGES OF THE MODERN SOCIETY 2024
DSIT 2024   2024 7th International Conference on Data Science and Information Technology (DSIT 2024)
ICBICC 2024   2024 International Conference on Big Data, IoT, and Cloud Computing (ICBICC 2024)
i-Society 2024   The 17th International Conference on Information Society
BDCAT 2024   IEEE/ACM Int’l Conf. on Big Data Computing, Applications, and Technologies
MODELS 2024   MODELS 2024 : ACM/IEEE 27th International Conference on Model Driven Engineering Languages and Systems
Call for Chapters - CRC Press 2024   Internet of Things: Challenges and Advances
ICONDATA 2024   6th International Conference on Data Science and Applications
DSIT 2024   7th International Conference on Data Science and Information Technology
IEEE BigData 2024   2024 IEEE International Conference on Big Data