The SEM Berlin 2019 conference will host parallel sessions for oral presentations as well as poster sessions. Abstract contributors may indicate their preferred presentation style (oral presentation OR poster), which will be taken into account by the reviewing committee in their final decision announcements.
Extended abstract submission deadline: 20. January 2019 30. January 2019
Abstract acceptance announcement: 15. February 2019
Abstracts are submitted as text only, in English and can be no more than 1600 characters in length. For preparing your abstract it is advisable to include the following information:
You will be asked to choose a topic which most closely relates to your abstract. Your topic can either be from the following list of themes of core Socio-Economic Metabolism themes, or from the list of special focus topics.
Demographic evolution, technological development, in particular digitalisation, urbanization and industrialization in emerging economies, trade, the need to adapt to and mitigate climate change impacts and the international commitment to the sustainable development goals are creating new challenges for managing natural resources sustainably. In addition, securing access to natural resources and decreasing the dependency on potentially critical resources has become a priority for governments and industry.
The socio-economic metabolism is complex and includes many delays and feedbacks, either within resource cycles or between different resources. For example, many green technologies to save greenhouse gas emissions depend on critical minerals, making these industries potentially vulnerable to supply disruptions. Ore grades of many essential metals are declining and the metals can be extracted only by use of dramatically increasing amounts of energy and water, or the increasing integration of national economies into the world trade network created a new regime that globally reallocates the environmental costs and the benefits of natural resource use. The systemic impacts of these complex interactions on local, regional and global levels are an important emerging topic in SEM research.
While the traditional SEM methods such as static and dynamic material flow analysis, energy flow analysis, environmentally extended input-output analysis and life cycle analysis are still wildly used, the community has recently moved on to employ novel methods and models such as data mining techniques, machine learning, complex network analysis, integrated assessment models. In addition initiatives are ongoing to develop procedures and platforms to harmonize and share and manage the large data sets that have been compiled by SEM and other researchers.
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All abstracts will be peer reviewed. Notification of results will be sent by e-mail on February, 15 2019.