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UDS 2020 : First International Conference on Urban Data Science | |||||||||||||||
Link: http://dos.iitm.ac.in/UDS2020/ | |||||||||||||||
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Call For Papers | |||||||||||||||
Urban areas continue to be the centers of human activities and remain the loci of resource and service consumption, economic transactions, and innovation. Projections in parts of the world point to rapid urban growth. Other areas of the urbanized world are experiencing population decline, reduced revenues, concentrated poverty, and higher demands for services. Whether growing or shrinking, cities and metropolitan areas face challenges of infrastructure, public health, transportation, public safety, and environmental sustainability, to name but a few. To address some of these challenges, the cities of today are increasingly leveraging advanced computing and communication technologies as well as big data analytics under the umbrella of smart cities and urban informatics. Extensive research is taking place in a wide range of relevant research areas to address some of these emerging challenges. Smart City initiative is of global importance especially undertaken by cities in US, India, multiple EU countries, and UAE governments in recent times.
In this backdrop, we are pleased to announce the first international conference focused on urban data science and smart cities. The conference aims to gather researchers, practitioners, and subject matter experts from academia, industry, and city administration to address a number of research themes arising out of building future smart cities. The conference is naturally expected to be multi-disciplinary, drawing experts in data science, social sciences, cloud and distributed computing, urban sustainability, public policy, and software engineering. Participants are expected to share new findings, discuss current and future urban challenges, exchange ideas, discuss potential collaborative opportunities, and report latest research efforts that cover a variety of topics including, but not limited to: Internet of Things (IoT): Smart sensors Energy saving schemes for IoT devices Test bed and experiment experiences in cities. Big Data and Analytics: Big data for urban informatics Systems for urban data collection Human mobility modeling and analytics. Software Engineering: Software engineering for urban applications Wireless protocols for IoT devices Cloud computing and network infrastructure that supports smart cities. Social Science and Public Policy: Using data to promote healthy cities Public administration and big data Access and usability of data for citizens Using data analytics for poverty reduction interventions. Applications: AI and deep learning models for traffic and other infrastructure management Environment and urban monitoring Mobile crowdsourcing Smart transportation Smart energy and water meters Smart buildings and Emergency response/disaster management. SUBMISSION GUIDELINES Authors are invited to submit original and unpublished research papers, position papers, and successful case studies or implementations in practice. Submissions must be at most 16 pages (all inclusive) in Springer LNCS series format (https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines). Submission website address: https://easychair.org/conferences/?conf=uds20 VENUE The conference will be held in the IC & SR Building, Near Gajendra Circle, Indian Institute of Technology, Madras, Adyar, Chennai, Tamil Nadu 600036, India. Google maps link: https://goo.gl/maps/1jmEoTKqQrduPy7u6 PROGRAM COMMITTEE Rajkumar Buyya, University of Melbourne, Australia Peter Edwards, University of Aberdeen, UK Christopher Homen, Rochester Institute of Technology, USA Dharanipragada Janakiram, Indian Institute of Technology Madras, India (General Chair) M Ann Howard, Rochester Institute of Technology, USA Sriram Kailasam, Indian Institute of Technology Mandi, India Raghu Krishnapuram, Indian Institute of Science, Bangalore, India Praeep Kumar Murikannaiah Rochester Institute of Technology, USA Saraju Mohanty, University of North Texas, USA Betty Purwandari, University of Indonesia Naveen Sharma, Rochester Institute of Technology (Chair) Srinath Srinivasa, International Institute of Information Technology Bangalore, India (Co-chair) Asha Subramanian, Public Affairs Center, India Vijay Srinivas Agneeswaran, Walmart Labs (Panels Chair) STEERING COMMITTEE Dharanipragada Janakiram, IIT Madras Naveen Sharma, Rochester Institute of Technology Manish parashar, Rutgers University M Ann Howard, Rochester Institute of Technology Soundar Rajan Tirupatikumara, Penn State Gopal S Pingali, IBM India Chokchai Box Leangsuksun, Louisiana Tech University |
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