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
Disaster Management for Resilience & Public Safety
Track chairs: Frank Fuchs-Kittowski, Michael Klafft, Horst Kremers, Ulrich Meissen |
Earth Observation Systems as Monitoring Instruments for the Success of Environmental and Sustainable Conventions
Track chairs: Valerie Graw Klaus Greve |
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:
|
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. 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 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: This must be acknowledged and solutions should be found and implemented very soon.
Organisation Please contact the organizer in case you are not sure whether your working topic is of interest for this workshop! Contributions |
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 Organisation • Frank Fuchs-Kittowski, HTW Berlin & Fraunhofer FOKUS, Frank.Fuchs-Kittowski@HTW-Berlin.de Please contact the organizer in case you are not sure whether your working topic is of interest for this workshop! Contributions |
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 Please contact the organizer in case you are not sure whether your working topic is of interest for this workshop! Contributions |
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 Please contact the organizer in case you are not sure whether your working topic is of interest for this workshop! Contributions |
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 will give researchers a platform to present the actual results of their work and to discuss it with the participants of the conference. Organization Please contact the organizer in case you are not sure whether your working topic is of interest for this workshop! Contributions |
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 Please contact the organizer in case you are not sure whether your working topic is of interest for this workshop! Contributions |
