IEEA 2024
Call for Papers
The topics (e.g. on the web page) have been formulated with the least restrictions in mind; practically, however, the selection process will focus on innovative approaches that show unusual, novel or just clever combinations of computational and environmental research. Social or socioethical topics are not excluded, but do not form a main focus point of the conference.
Informatics and Applications
High Performance Computing |
Data Compression Technology in
Education Data Encryption Technology Management Security & Cryptography Database and Data Mining Database Systems Dependable, Reliable and Autonomic Computing Reconfigurable Computing Systems Digital Signal and Image Processing Wireless Distributed and Parallel Processing Image Processing Information Retrieval Internet and Web Applications Knowledge Data Engineering Networking and Communications Neural Networks Parallel and Distributed Computing Ubiquitous and Pervasive Computing Mobile Computing Web-based information systems |
Environmental Informatics
| Planning of
energy, environmental and ecological
management systems Simulation, optimization and Environmental decision support Environmental geomatics - GIS, RS and other spatial information technologies Informatics for environmental chemistry and biochemistry Modeling of chemical, biological and environmental processes Modeling of biotechnological systems for enhanced pollution mitigation Computer graphics and visualization for environmental decision support Artificial intelligence and expert systems for environmental applications Environmental statistics and risk analysis Climate modeling, downscaling, impact assessment, and adaptation planning Other areas of environmental systems science and information technology Management of geoenvironmental data and information systems Dissemination of knowledge on techniques, methods, approaches and experiences to improve the environment Development and application of environmental software, information and decision support systems Issues and methods related to the integrated modeling, assessment and management of environmental systems - including relevant policy and institutional analysis, public participation principles and methods, decision making methods, model integration, quality assurance and evaluation of models, data and procedures. Environmental Monitoring and Assessment The design and development of single medium and multimedia monitoring systems, sampling techniques, optimization of monitoring networks, data handling, quality and assurance procedures, operational costs. The scientific basis for monitoring: scaling methods, the use of biological indicators, dynamic and commitment models, pollution indices, etc. Exposure assessment: the development of monitoring systems which allow direct or indirect estimates of pollutant exposure to critical receptors. Methods and procedures of pollution risk assessment, relating to sources, pathways of exposure, trends in time and space, anticipatory systems, evaluation of environmental quality and of management practice. Monitoring systems designed to detect changes in land use patterns. Ecological System Modeling Environmental issues in rural and urban areas Geographic Information Systems Global climate change Soil air and water quality models |
Energy Informatics
| Smart
Buildings by developing ICT-centred
solutions for improving the
energy-efficiency of buildings. Smart Industries including the development of ICT-centred solutions for improving the energy efficiency and predictability of energy intensive industrial processes, without compromising process and product quality. Smart Energy Networks by developing ICT-centred solutions for coordinating the supply and demand in environmentally sustainable energy networks. Innovation in data-driven energy services and business models Big Data-driven smart Energy Management Systems Management of data and information flow in the Digital Energy System 4.0 Data analytics for energy-cost efficient system operation Privacy issues in energy data management Digitalization of energy production, delivery and consumption, including policy and strategy Digital technologies for enabling energy-aware user behavior Contextual computing for supporting human and energy system interactions Energy-efficient Cloud Computing and data centers Cyber security issues for safe and reliable Smart grid operation Social media’s role in the transition towards sustainable energy Application of Artificial Intelligence and Agent-based technology in smart energy systems Model-based and data-driven energy forecasting, including energy production and use Management of public and private procurement of digital energy technology Socioeconomic opportunities and barriers for adoption of digital energy technologies Sociotechnical aspects related to design and implementation of smart energy systems Innovation management in smart energy business eco-systems Digital entrepreneurship in emerging energy markets Smart grid communication architectures and protocols for improving grid resiliency, including graceful degradation and self-healing Microgrid and distributed generation management and control Monitoring and control of Smart Buildings, including Smart Grid interoperability ICT for future energy systems, sector coupling and the integration of intermittent renewable generation Information and decision support systems for future energy markets and mechanisms Energy system modelling and (open) energy system data Protocols and architectures for IT systems in the energy sector Data analytics and machine learning for smart energy systems and decentralised decision making, as well as platforms for data analysis Open data and software for energy research Management of distributed generation and demand side management ICT for (multi-) energy networks and micro-grids Energy-efficient mobility, charging management for electric vehicles, energy-aware traffic control, and smart grid integration of mobile storage Smart buildings, digital metering, occupant comfort, and user interaction Adoption of ICT in the energy sector Cross-cutting issues including cyber security and privacy protection, interoperability, verification of networked smart grid systems |