BDASE 2018: Big Data Analytics for Sustainable Environments

Країна: Швейцарія

Місто: Zurich

Тези до: 01.08.2018

Дати: 17.12.18 — 20.12.18

Е-мейл Оргкомітету: S.Iram@hud.ac.uk

Організатори: IEEE

 

Big data analytics plays significant role to investigate low carbon built environments and the processes, complexities and uncertainties that can influence performance efficiencies of entire ecosystem. This helps to reinforce eco-centric, sustainable solutions for future adaptation and mitigation strategies to combat radical climate changes. Descriptive and diagnostic data analysis techniques investigate information extracted from environmental sources such as water and air pollution, heat and energy utilisation, built environment, and transportation to diagnose anomalous activity patterns. Predictive and prescriptive data analysis forecast risks associated with existing practices and suggests corresponding retrofitting solutions. Contextual data analysis encourages the deployment of innovative and vibrant solutions within a sector that fit better with the entire ecosystem. Big data applications, here, plays a crucial role to enable data, knowledge and services sharing across sectors such as energy, water, transportation, construction, health and education to stimulate cross sectoral, multidimensional research initiative to add values into existing services.

This workshop is dedicated to provide a unique platform to academics, researchers, scientists, practitioners, decision-makers, entrepreneurs and other stakeholders to discuss the roles, incentives and applications of emerging big data technologies to foster sustainable and resilient environments.

List of Topics

  • Big Data in Urban Informatics
  • Environmental Risk Predictions
  • Data Analytics and Machine Learning
  • Interactive Visualisation Environments
  • Energy Efficiency and Sustainable Cities
  • IoT and Sustainable Cities
  • Energy Demand and Supply and Renewable Energy
  • Sustainable Cities Development
  • BIM technologies and Sustainable Construction
  • Ambient Intelligence and Smart Services
  • Immersive and Virtual Reality
  • Resource Usage Optimisation
  • Social Networks and Crowd Sensing
  • Green Computing

Веб-сторінка конференції: https://hud-cs-research.github.io/bdase2018/