The Special Tracks are held from 24rd September (afternoon) to 26th September (afternoon).

 

 

Main Track

Track chairs:
Karl-Heinz Simon, Center for Environmental Systems Research, Universität Kassel
Rüdiger Schaldach, Center for Environmental Systems Research, Universität Kassel
Volker Wohlgemuth Hochschule für Technik und Wirtschaft Berlin, Germany

 

 

 

Environmental Health Informatics


Track chairs:
 
Kristina Voigt,
Margaret MacDonell

Disaster Management for Resilience & Public Safety


Track chairs:
Frank Fuchs-Kittowski,
Michael Klafft,
Horst Kremers,
Ulrich Meissen
 
 

Machine Learning in Environmental Sciences


Track chair:
Martina Willenbacher
 

Earth Observation Systems as Monitoring Instruments for the Success of Environmental and Sustainable Conventions


Track chairs:
Valerie Graw
Klaus Greve
 

Sustainable Mobility


Track chair:
Benjamin Wagner vom Berg
 
 
 
 
 

Visualisation and Virtual Reality in the Environmental Sciences


Track chairs:
Benoit Otjacques,
Patrick Hitzelberger,
Jens Weismüller
 

Main Track


Due to the interdisciplinary character of environmental informatics there is a wide range of topics that were already central to previous conferences and will be still in the heart of the EnvioInfo 2019. Examples include:
 

  • Earth Observation and Monitoring
  • Environmental Modelling and Simulation
  • Applications of Geographical Information Systems
  • Environmental Information Systems
  • Core technologies in Environmental Informatics: Big Data, Machine Learning etc.


In addition, the special focus of the conference lies on six fields where ICT technologies and tool play a crucial role to achieve the sustainability goals of the United Nations in context of the Agenda 2030 and to support societal transformation processes:
 

  • Smart cities
  • Sustainable transportation and energy systems
  • Managing and mitigating climate change and extreme events
  • Sustainable resource management and circular economy
  • Health and food security
  • Open and transdisciplinary science
  • Green Software Engineering

 

Environmental Health Informatics


Environmental Informatics – Computational sustainability: ICT methods to achieve the UN Sustainable Development Goals


As in previous years we want to offer the opportunity to present some current ideas concern-ing the interaction / combination of topics in environment and health issues with respect to computer science.

During the previous EnviroInfo conferences, namely EnviroInfo2016 in Berlin, EnviroInfo 2017 in Luxembourg, and the EnviroInfo 2018 in Garching near Munich, Germany the Envi-ronmental Health Informatics session has been successfully performed.

The research field environmental health has been created by the World Health Organization in 1999.
Environmental health addresses all the physical, chemical, and biological factors external to a person, and all the related factors impacting behaviors. It encompasses the assessment and control of those environmental factors that can potentially affect health. It is targeted towards preventing disease and creating health-supportive environments.

These subjects have to be addressed in combination with modelling, databases, infor-mation systems, evaluation aspects, and statistics in order to respect the assessment and control factor of environmental health.

Session Topics
As our main topic for the EnviroInfo 2019 is to demonstrate ways how to comply with the UN Sustainable Development Goals, this session is definitely in the focus of our motion.

Sustainable Development goal Number 3 is: Ensure healthy lives and promote well-being for all at all ages. This can be related to the following environmental goals: Sustainable Develop-ment Goal 6 (Clean Water and Sanitation), Goal 7 (Affordable and Clean Energy), Goal 11 (Sustainable Cities and Communities), Goal 13 (Climate Action), Goal 14 (Life below Water), Goal 15 (Life on Land). Most other goals can be regarded in the environmental health respect as well.

Unfortunately, the current situation is as follows:
According to the World Health Organization (WHO), environmental factors such as air pollu-tion, noise, chemicals and radiation trigger one-quarter of chronic and non- communicable dis-eases (Source).

This must be acknowledged and solutions should be found and implemented very soon.
As the costs of increasing human health problems due to environmental impacts is enor-mous the economic situation should also be taken into consideration.

Organisation
• Kristina Voigt, Echternach, Luxembourg, kvoigtvoigt@web.de
• Margaret MacDonell, ARGONNE National Laboratories, USA

Please contact the organizer in case you are not sure whether your working topic is of interest for this workshop!

Contributions
Depending on your aims considering the publication of your work, we invite you to send us your abstracts or full papers according to the instructions and deadlines.

 

Disaster Management for Resilience & Public Safety


Objectives of the workshop
This workshop aims at reporting about state-of-the-art applications of ICT as well as newest developing trends in the field of disaster management (in the context of environmental protection and natural disasters) for all phases of the disaster cycle (preparedness, prevention, alert, response, mitigation) with special focus on resili-ence and public safety.
Another important goal of this international interdisciplinary workshop is to bring experts from research, industry and education together to exchange ideas and proposals for a solution of urgent problems and needs. The workshop will enable sharing of experiences and best practices and giving space of discussing problems, new ideas, concepts and research questions of „disaster management for resilience and public safety“.

Topics of the workshop
The following areas will be of central interest for the workshop:
• Disaster information systems: information management, information pro-cesses, information systems, architectures, components, services, interop-erability, security and standards
• Disaster modelling and simulation: incl. multiple aspects, cascading effects, spatial and temporal aspects
• Disaster communication: risk and crisis communication, creation of risk and danger awareness, social media communication and analysis, public alerting systems
• Situational Awareness: monitoring and surveillance systems, operation rooms, crowd sourcing, mobile sensing systems, visualisation
• Resilience partnerships/Multi-Actor Integration: integration of relevant ac-tors (action forces/authorities, citizens/volunteers, other stakeholders) in disaster management activities with regard to communication, coordination and collaboration
• Building disaster resilience: improving the (self-help) capabilities of individ-uals, families and communities, as well as that of businesses and govern-ments
• Disaster Resilience for the built environment: buildings, transportation sys-tems (mobility services e.g. for evacuations), energy systems, water and wastewater systems, communications and information systems
• ICT for disaster research: such as platforms for disaster-related citizen sci-ence projects
• Privacy, data protection and security in Disaster Management Systems
Please contact the organisers in case you are not sure whether your working topic is of interest for this workshop!

Organisation

• Frank Fuchs-Kittowski, HTW Berlin & Fraunhofer FOKUS, Frank.Fuchs-Kittowski@HTW-Berlin.de
• Michael Klafft, Jade Hochschule & Fraunhofer FOKUS
• Horst Kremers, CODATA-Germany, office@horst-kremers.de
• Ulrich Meissen; HTW Berlin & Fraunhofer FOKUS, Ulrich.Meissen@HTW-Berlin.de

Please contact the organizer in case you are not sure whether your working topic is of interest for this workshop!

Contributions
Depending on your aims considering the publication of your work, we invite you to send us your abstracts or full papers according to the instructions and deadlines.

 

Machine Learning in Environmental Sciences


Due to the ever-increasing digitalization in manufacturing companies and the associated increase in the networking of physical and virtual components, more and more data is generated from a wide variety of devices and systems. The optimisation of production processes in terms of resource consumption, waste minimisation and pollutant emissions is also becoming more and more important. Due to the strongly dynamic development processes (economic, demographic, sociological, ecological-biological processes) and the high complexity of environmental systems, the requirements for scientifically sound answers to environmentally relevant questions and the formulation of intelligent, dynamic analysis models are high. Machine learning provides industrial production with tools to derive forecasts and findings from large, sometimes inhomogeneous data stocks in order to optimise the production process with regard to various requirements.

This track adresses the following topics:
• Implementation of machine learning applications in companies to support the environmental management
• IT-security and legal fundamentals for the industrial use of machine learning
• Machine learning for industrial environemtally real time applications
• Optimization of machine performance with predictive maintanance
• Usage of pattern recognition with Machine learning for sustainable production
• (Programming of GPU and CPU)
• Principles of artificial neural networks (ANN) and deep learning

• Machine learning platforms and frameworks for development of industrial environmental applications

Organisation
• Martina Willenbacher, Hochschule für Technik und Wirtschaft Berlin, Martina.Willenbacher@htw-berlin.de

Please contact the organizer in case you are not sure whether your working topic is of interest for this workshop!

Contributions
Depending on your aims considering the publication of your work, we invite you to send us your abstracts or full papers according to the instructions and deadlines.

 

Earth Observation Systems as Monitoring Instruments for the Success of
Environmental and Sustainable Development Conventions


Objectives of the track

Satellite Earth Observation (EO) represents an outstanding tool to monitor changes on land and ocean surfaces and evaluate these changes. With regard to the Global Development Agenda 2030 in total 17 Sustainable Development Goals (SDGs) are listed and aimed to be targeted within the next years. Numerous indicators leading to the assessment of sustainable development within a country can be monitored with remote sensing and geospatial data and secure a continuous monitoring. Changes in land cover and links to land degradation neutrality or the estimation of environmental loss due to disastrous events such as floods and drought can be monitored using remotely sensed information from different sensors. Combined with socio-economic information, the actual risk for a population can be determined, guiding approaches for adequate disaster risk management in line with the Sendai Framework for Disaster Risk Reduction (SFDRR) closely linked with the global SDGs.

Organization
Dr. Valerie Graw, University of Bonn, Centre for Remote Sensing of Earth Surface,
Prof. Dr. Klaus Greve, University of Bonn, Centre for Remote Sensing of Earth Surface, klaus.greve@uni-bonn.de

Please contact the organizer in case you are not sure whether your working topic is of interest for this workshop!

Contributions
Depending on your aims considering the publication of your work, we invite you to send us your abstracts or full papers according to the instructions and deadlines.

 

Sustainable Mobility


Objectives of the track
Sustainable mobility is one of the emerging topics of our time. On the one hand mobility in the sense of moving persons and goods is one of the central functions for a successful economy and a worth living society.
On the other hand, transportation contributes the highest CO2 emissions besides the energy sector and is connected to many other negative effects in the ecological, economical and social dimension of sustainability. However many recent activities in industry and research as well as address sustainable mobility solutions that are emission-free, socially responsible and economically long-lasting. ICT solutions, in general, make mobility solutions more effective and can help to reduce the negative effects of mobility.

Topics of the track
This track addresses especially ICT-based concepts and solutions for more sustainable mobility in a wide-spread area of topics, e.g.:
– Transportation as a Service (TaaS) and Mobility as a Service (MaaS)
– Smart City and Urban mobility
– Mobility in rural regions
– Open, Smart and big data for traffic solutions
– Dynamic planning systems (tour, route, bundling) for more efficiency
– Smart travel planning and assistance
– Electric mobility inclusive hydrogen-based power
– Sustainable transport and green logistics
– Sustainable labor conditions in logistics
– Car-Sharing, Ride-Sharing and Ride-Hailing Services
– Prosumer approaches in transportation (b2b and b2c)
– Autonomous Vehicles
– Use of Blockchain in transportation
– Disruption and business models in mobility and transportation

This track will give researchers a platform to present the actual results of their work and to discuss it with the participants of the conference.

Organization
Benjamin Wagner vom Berg, University oAS Bremerhaven, benjamin.wagnervomberg@hs-bremerhaven.de

Please contact the organizer in case you are not sure whether your working topic is of interest for this workshop!

Contributions
Depending on your aims considering the publication of your work, we invite you to send us your abstracts or full papers according to the instructions and deadlines.

 

Visualisation and Virtual Reality in the Environmental Sciences


Objectives of the track
Visualisation is an important tool in environmental research that helps us to understand data and analyse results. Considering the large amount of information that may result from complex simulations or may be generated by years of research and measurements, creating some sort of visual representation is often a requirement to understand the data and reveal information. We invite contributions to all aspects of this topic, ranging from intuitive data representation for scientists, easily graspable preparation of information for decision makers to virtual reality environments.
In this track, we will discuss the advantages and disadvantages of different approaches, discussing the different technologies for visualisation in environmental research. We invite contributors to report on their experience using them for visualisation in environmental research, as well as the development of new visualisation technologies. We want to discuss advantages and insights that were gained, review problems and shortcomings as well as possible solutions and consider future possibilities of the technologies and the advances in this area.

Organization
Benoit Otjacques benoit.otjacques@list.lu,
Patrick Hitzelberger, patrik.hitzelberger@list.lu
Jens Weismüller

Please contact the organizer in case you are not sure whether your working topic is of interest for this workshop!

Contributions
Depending on your aims considering the publication of your work, we invite you to send us your abstracts or full papers according to the instructions and deadlines.