BiDU 2019: Workshop on Big Social Data and Urban Computing In conjunction with VLDB 2019 (The Westin Bonaventure Hotel) Los Angeles, CA, United States, August 26, 2019 |
Conference website | https://sites.google.com/view/bidu2019/ |
Submission link | https://easychair.org/conferences/?conf=bidu2019 |
Abstract registration deadline | May 27, 2019 |
Submission deadline | May 27, 2019 |
In urban spaces, there is a huge amount of heterogeneous data being generated by a diversity of sources, such as sensors, devices, vehicles, smart buildings, and others. These data explosion has resulted in the emerging topic of “Big Social Data”. Broadly speaking, Big Social Data refers to large data volumes that relate to people interactions or describe their behaviors, needs, and patterns. The volume, the production and spreading velocity, and the variety (providing semantic richness) of such data open enormous possibilities for utilizing and analyzing them for the understanding of urban spaces, tackling the major issues that these localities face, and helping in the creation of smarter and sustainable cities.
Urban computing is a process of acquisition, treatment, and analysis of big and heterogeneous data to better understand how city ecosystems work. The use of Big Social Data in urban computing helps us to understand the nature of urban phenomena and even predict the future of cities, creating solution to reduce costs and optimize resource consumption, improve population mobility, provide higher human life quality, enhance decision making in emergency scenarios, and engage more effectively with citizens for a continuous city planning.
The BiDU 2019 aims to connect works about the use and treatment of Big Social Data in multidisciplinary research spanning across computer science - such as engineering, environmental studies, health, urban planning and social sciences - for urban sustainability, transparency, livability, social inclusion, place-making, accessibility, and resilience. Thus, the topics of interest include, but are not limited to the following list.
Topics of Interest
- Data mining of social data for urban planning
- Social data analytics for city evaluation
- Social data integration or fusion
- Social IoT
- Knowledge integration
- Social, Knowledge and Big Data integration
- Urban and city dynamics sensoring
- Crowd dynamics at large scale of events
- Big social data applied to neglected populations
- Traffic and human mobility -> Modeling and prediction of human motion and content demand
- Big social data modeling, visualization, analysis, and prediction
- Urban economics based on social data
- Social behavior modeling, understanding, and patterns mining in urban spaces
- Ethical issues in social data analysis
- Public safety, security, and privacy in urban sensing
- Health safety in urban areas
- Semantics for big social data
- Visualization of city-wide social data in urban areas
- Smart recommendations in urban spaces
- Mining data from the internet of things in urban areas
- Managing urban big social data in the cloud
- Big social data and IoT frameworks and infrastructures
- Smart city open data
- Ubiquitous/pervasive intelligent social systems in urban areas
- Understanding urban economy based on big social data
- Location-based social networks enabling urban computing scenarios
- Intelligent delivery services in cities
- Influences from the real physical world on social data, and vice versa
- Smart applications and tools for urban solutions
Submission Guidelines
The workshop welcomes contributions describing original ideas, promising new concepts, and practical experience. In particular, we solicit papers of different types:
- Research: papers proposing new approaches, models, theories or techniques related to Big Social Data and Urban Computing, including new data structures, algorithms, whole systems, and frameworks. They should make substantial theoretical and empirical contributions to the research field.
- Experiments and Case Studies: papers focusing on the experimental evaluation of existing approaches including data structures and algorithms for Big Social Data and Urban Computing bringing new insights through the analysis of these experiments. Results of experiments and case studies papers, for example, can describe benefits or disadvantages of well-known approaches in new scenarios, opening new research problems and challenges by demonstrating unexpected behavior or phenomena, or comparing a set of traditional approaches in an experimental survey.
- Industry and Application: papers reporting practical experiences on Big Social Data and Urban Computing. Industry and Application papers might describe specific application domains and detail the solution process.
- Dataset: Papers describing a dataset - completely cleaned, treated, curated, opened and legal - possible to be reused or applied in other scenarios. The final contribution is a dataset available to access and reuse, but the paper must present all the information necessary to understand the processes of data gathering and treatment, and how to use them.
- Vision: Papers identifying emerging or future research issues and directions, and describing new research visions related to data-driven innovative solutions and big social data-powered applications to cope with the real-world challenges for building smart cities
General instructions
- All papers must be written in English.
- Research, Experiments and Case Studies, Industry and Application, and Dataset papers submission should be limited to a maximum of 15 pages.
- Vision papers should be limited to a maximum of 6 pages.
- The Springer CCIS format is required. The proceedings will be published with Springer in their Communications in Computer and Information Science series.
- As all papers will go through a double-blind review process, with at least three reviewers, author names and contact information must be omitted from all submissions. Submissions that do not respect this issue will be eliminated from the review process.
- All papers will be peer-reviewed according to following criteria: adequacy of workshop scope, relevance, technical quality, clarity, originality, and evaluation of results. The evaluation of results is desired, but is not a precondition for submission.
- All articles will be presented orally.
- Submit your paper using Easy Chair in https://easychair.org/conferences/?conf=bidu2019
Important dates
- May 24, 2019 (Friday): Abstract registration at https://easychair.org/conferences/?conf=bidu2019
- May 24, 2019 (Friday): Paper submission at https://easychair.org/conferences/?conf=bidu2019
- June 24, 2019 (Monday): Communication of workshop presentation decision to authors
- June 28, 2019 (Friday): Final version submission.
- Aug 26, 2019 (Monday): Workshop in Los Angeles, California.
Committees
Program Chairs
- Aline Carneiro Viana (INRIA - France) - aline.viana@inria.fr
- Humberto Torres Marques-Neto (Pontifical Catholic University of Minas Gerais - PUC Minas - Brazil) - humberto@pucminas.br
- Jonice Oliveira (Federal University of Rio de Janeiro - UFRJ - Brazil) - jonice@dcc.ufrj.br
- Nazim Agoulmine (University of Evry Val d'Essonne - Paris Saclay University - France) - nazim.agoulmine@univ-evry.fr
Program committee
- To be announced.
Venue
The conference will be held in conjunction of VLDB 2019 (45th International Conference on Very Large Database) - http://www.vldb.org/2019/?program-schedule-workshops - at Los Angeles-CA, USA.
Contact
All questions about submissions should be emailed to bidu2019vldb@gmail.com