We welcome your contributions to the main track of the conference. In addition, we encourage you to submit your contribution to one of the following workshops:

Frank Fuchs-Kittowski

Traditionally, concepts of risk management and sustainability aim for prevention of disasters. But in some cases  for instance the consequences of climate change  the occurrence of some disasters cannot be avoided  for instance hurricanes, intense rain, flooding, heatwaves  and cause losses of property and human lives. In recent years, the concepts of vulnerability and resilience acknowledge that these disasters occur and even could repeat in shorter or longer intervals. Relevant societal actors have to provide appropriate means to respond to potential vulnerabilities and to show the ability to cope with disasters (resilience). The challenge is not only the understanding of potential risks and the prevention of potentially occurring disasters, but also to be prepared for the occurrence of such disasters, to adopt to these and to mitigate the consequences (in particular those for the public). Governments, citizens and societies shall be enabled to recover from the impacts of disasters and to re-establish and re-erect infrastructures in a more resistant way (betterment). In order to achieve this goal, effective cooperation of authorities with the public is indispensable. 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 resilience 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“.

Miguel Llorente Isidro | Angela Santos

Earthquakes are among the most frequent geohazards on our planet constantly being recorded in seismic stations. Most earthquakes (around 3×10^6/year) are Mw 2 or less, whereas few a year can reach as much as Mw 8. Earthquakes Mw 5-6 can be as frequent as 10^3/year and they can already cause severe damage to buildings depending basically on the depth and distance to the epicenter, soil dynamics and surface geometry. Damage to property after an earthquake does not rely solely on the earthquake itself, but usually, it works as a triggering factor of other natural processes, such as landslides or soil liquefaction. Whenever an earthquake strikes near a water body or has its epicenter located on a mass of water, tsunamis might also be triggered, either because the bedding deformation disturbs the water or landslides reach the water surface causing long-period waves. A few recent well-known earthquakes that have caused severe catastrophes are worth mentioning: Equator 2016, Nepal 2015, Japan 2011, Hati 2010 or Sumatra 2004. The number of victims or injured ranged from 104 to 105 on these events and they can all be linked directly or indirectly to earthquakes Mw 6 and above. Europe is not exempt from severe events causing damage to property, life and cultural heritage; some of the most recent include Portugal 2018, Italy 2016 or Spain 2011. Tsunamis are not only linked to the occurrence of earthquakes, a number of other triggers can be found, landslides or volcanic eruptions among them, such as the renowned cases of the Lituya bay in 1958 or the Krakatoa eruption in 1886. However, earthquake and tsunami triggers and effects are still under great discussion. The workshop focuses both on earthquakes and tsunamis, hence communications of such topics are welcome so resilience of communities can further develop.

Kristina Voigt

Until today the topics environment and health are often looked upon in different and separate projects. This does not reflect the reality. Every impact on the environment has consequently an impact on the health of humans and also animals. The health of the human population worldwide is extremely endangered by the impact of the environmental pollution. Governments as well as people worldwide do not acknowledge this fact adequately. During the previous EnviroInfo conferences, namely EnviroInfo2016 in Berlin and EnviroInfo 2017 in Luxembourg the Environmental 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.

Benjamin Wagner vom Berg

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, mobility contributes the highest CO2 emissions besides the energy production and is connected to many other negative effects in the ecological, economical and social dimension of sustainability. However many activities in industry and research as well address this topic, e.g. in the field of electric mobility or in the context of smart cities and regions. ICT solutions are able to make mobility more effective and to reduce negative effects of mobility. This workshop addresses these ICT solutions for a more sustainable mobility in a wide-spreaded area of topics, e.g.:

  • Smart City and Urban mobility
  • Open, Smart and big data for traffic solutions
  • Mobility in rural regions
  • Sustainable mobility providers
  • Smart travel planning and assistance
  • Electric mobility
  • Sustainable transport and green logistics
  • Sharing and prosumer approaches in transportation
  • Disruption and business models in mobility services

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

Christian Bunse

Software-Engineering aims at developing and evolving software systems in an economic manner, considering project specific needs and quality goals. One of these quality goals, which become more and more important, is “energy efficiency of software systems”. Improving the energy consumption of mobile devices will not only increase the uptime and battery lifespan, it will also improve the carbon footprint. Viewing energy efficiency, is not only restricted to mobile devices, it also affects e.g. embedded systems and data centers, where energy is a major factor in costs and environmental burden. Next to serious and ongoing efforts in hardware design, on operating system level, and by optimized code generation, software engineering techniques also contribute to optimizing energy consumption by improving software design: wasting energy can be avoided by e.g. removing energy code smells, improving data-base queries and storage methodologies, exchanging fast, but energy consuming components by slower but more energy efficient alternatives. The EASED workshop series on Energy Aware Software-Engineering and Development, which will be held at EnviroInfo for the 7th time, focusses on the intensive presentation and discussion of methods and technologies to optimize the energy consumption of systems by improving the used software. Among others, these techniques include techniques

  • detecting energy smells,
  • optimizing code,
  • avoiding energy waste,
  • measuring energy consumption, caused by software, and
  • modeling software caused energy behavior of embedded systems.

Additionally, in 2018 we will extend our focus to broader topics including questions of maintenance of software, quality of code, and also questions of data life cycles. These issues also effects the efficiency of software and therefore sustainability energy-awareness.

Berit Müller

Transparency is essential for repeatability and thus of vital importance to the practice of science. This is an argument for using open data and open models. In this special session, we will discuss the strengths and weaknesses of existing models, which questions can or cannot be answered through simulations using those models, what forms of uncertainty exist, and how these uncertainties might be addressed. How can they be localized? What formal techniques are there for considering uncertainty when performing experiments? How can they be characterized and quantified when considering results of a simulation? This special track offers an opportunity to present your approaches to these problems.

The main session topics are:

  • Possible approaches for quality assurance of data
  • How to evaluate uncertainties of input and output data
  • Structural uncertainty and complexity of models
  • Spatial and temporal aggregation and granularity vs. accuracy of results
  • How to communicate, document and visualize uncertainties

Werner Geiger | Gerlinde Knetsch | Thorsten Schlachter

Informationen über die Umwelt bilden eine zentrale Grundlage für Entscheidungen auf der politischen Ebene und in der Verwaltung, für Erkenntnisgewinn in der Wissenschaft und für ein nachhaltigkeitsorientiertes Handeln in der Wirtschaft sowie der breiten Öffentlichkeit.
Die Herausforderungen in den Bereichen Umweltschutz, Klimaschutz und Nachhaltigkeit stellen steigende Anforderungen an die Bereitstellung, den Zugang und die Präsentation von Umweltinformationen sowie an deren Verknüpfung untereinander und mit anderen Daten. U.a. hat sich in den letzten Jahren das Thema Partizipation im digitalen Zeitalter unter dem Begriff „Citizen Science“ etabliert. Aktive Bürgerinnen und Bürgern, welche zunehmend politische Entscheidungsprozesse mit beeinflussen und kontrollieren wollen, nutzen Daten und stellen selbst Daten bereit. Auch der Forschungsbereich beteiligt sich durch Bereitstellung von Daten und Forschungsergebnissen (Open Access, Open Science). Mit der zunehmenden Unterstützung durch Informationstechnologien und der verbesserten Vernetzung sind neue Formen der Partizipation möglich geworden, die im besten Falle Demokratisierungsprozesse fördern, aber auch hohe Anforderungen an Daten und Systeme, die IT-Sicherheit sowie rechtliche und organisatorische Rahmenbedingungen stellen.

 Wolfgang Kurtz

Hydrometeorological simulation models are essential tools for planning and prediction in water management and agricultural production. They are applied both on a short-term operational level ,e.g., for the prediction of flood and drought events, as well as on yearly and decadal time scales to access possible effects of climate change, e.g., on the future evolution of water resources and growing conditions for agricultural crops.
Such simulations are typically associated with a high computational workload and produce a considerable amount of data that needs to be processed and analysed. The corresponding IT-requirements will even increase due to a growing complexity of simulation platforms and the need to quantify the uncertainty of model results, e.g. with the help of Monte Carlo methods.
The aim of this workshop is to bring together practitioners and IT-experts to discuss conceptual and technical challenges and opportunities of the application and development of hydrometeorological models as well as the analysis and visualisation of the corresponding model output. The workshop covers (but is not limited to) the following topics:

Showcases of current and planned applications of hydro-meteorological models that are enabled by or have a need for HPC/ Big Data technologies
Visualisation and analysis of hydrometeorological data
Management, curation and dissemination of large model outputs
Challenges and opportunities for big data analysis in hydrometeorology
Data formats and standards for data exchange between models and among scientists and stakeholders.

Helmut Heller

We invite papers and contributions that showcase the application of Internet of Things (IoT) technologies in environmental research. Possible topics include:

Use of IoT hardware
  + processor boards (Arduino, Raspberry Pi, Edison, Photon, …)
  + use of IoT sensors (humidity, temperature, gas composition, particles, etc.)
  + your own interface hardware to get new sensors connected to the internet

Use of IoT software
  + transmission protocols (MQTT, ssh, VPN, …)
  + IoT operating systems (RIOT, …)
  + data presentation layers (HighCharts, ThingSpeak, etc.)
  + data storage
  + data backup

Use of IoT architecture
  + Cloud services
  + which Cloud service provider did you choose and why?

IoT security
  + your experiences
  + what do you need, what is currently offered?

IoT reliability
  + which service level do you need?
  + do the current offerings match your requirements?

Using 3D printing for your project
  + if you used 3D printing to solve problems, please describe them!

Network connectivity
  + BlueTooth
  + WiFi
  + LoRa
  + SigFox
  + UMTS/cell network
  + antennas

Power supplies
  + solar cells
  + rechargeable batteries
  + charging concepts
  + what is missing for your application?

Use of cell phones for data gathering

Please report about your experiences with using these new technologies, shortcomings, where you were able to profit from them, what is still missing, your visions (what could be done if only one last stumbling block was removed),and also your criticisms.

Yu Wang

In the recent years, machine learning/deep learning made major breakthroughs in computer vision, natural language processing, speech recognition and autonomous driving. Machine learning methods have been adopted in various fields in environmental sciences today. The successful use cases include satellite data processing, general circulation models (GCM), weather and climate prediction, air quality forecasting, analysis and modeling of environmental data, oceanographic and hydrological forecasting, ecological modeling, and monitoring of snow, ice and forests.

We welcome submissions of machine learning papers in the above mentioned (but not limited to) research fields in environmental sciences.

Thomas Odaker

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. One technology offering great potential is virtual reality. Virtual reality allows researchers to view the data, as it really is – three-dimensional. In addition, over the course of the last years a new generation of virtual reality devices has entered the consumer market and enabled access to this technology for everyone. This allows for a natural, intuitive representation of the data that can make understanding it a lot easier. On the other hand, not all data is equally qualified for visualisation in virtual reality: some datasets may require extensive pre-processing, for others creative ways of visualisation may be required to convey the information intuitively. For example, one recurring issue with visualising environmental data in virtual reality is the spatial extension varying heavily between dimensions.

In this workshop, we will discuss the advantages and disadvantages of using virtual reality for visualisation in environmental research.  We invite contributors to report on their experience using virtual reality for visualisation in environmental research. We want to discuss advantages and insights that were gained by using virtual reality, review problems and shortcomings as well as possible solutions and consider future possibilities of this technology and the advances in this area.

Other Topics

Of course, you are welcome to submit further topics as well.

The event will be organized in close cooperation with the Technical Committee of Environmental Informatics of the German Informatics Society.

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