ISQL 2013 - 4th Intelligent Systems for Quality of Life information Services (ISQL 2013)

Quality of Life (QoL) is clearly dependent on numerous societal factors, but also on the state of the environment. The latter includes a wide range of factors, such as air quality, allergenic pollen, drinking and bathing water quality, noise pollution, waste processing, energy consumption, and many others.
The development of Information and Communications Technology (ICT) can make numerous types of environmental data and services ubiquitous. The availability of various ICT applications that are interwoven in urban societies, can lead to intelligent, personalized and yet easily generalized ways for monitoring, modeling and managing environmental systems and conditions.
Intelligent systems can collect data about the status and quality of the environment at the individual, user, and business level. Information gathering may employ, e.g., participatory environmental sensing and web 2.X technologies. Computational intelligence methods are particularly suitable to capitalize on these types of information for environmental modelling, knowledge extraction and generation of knowledge-intensive e-services, and are necessary for the development of QoL information services.
It is therefore evident that services, systems, applications and algorithms dealing with everyday utility for the individual are expected to play an important role in supporting QoL. On this basis, QoL environmental information services are expected to make possible personalized and interactive access to multimodal information, which will be based on user preferences and semantic concepts or human-machine interface systems that utilize information on the affective state of the user.
The workshop will address the following issues:
Participatory sensing
Community based environmental monitoring
Internet of things and environmental sensing
Mobile device applications
Environmental Sensors
Smart cities
ICT for Green
Hybrid and Multi Agent Systems in environmental monitoring
Orchestrated systems and services
Environmental modeling for Service provision
Health and Environment related systems
Systems addressing societal factors and access to goods and services
Analysis of environmental, health and epidemiological datasets for QoL support