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SESSIONS OR WORKSHOPS: WHAT IS THE DIFFERENCE?
A Session, of which iEMSs 2010 has thirty-one, employs a "traditional" presentation-oriented format with three presentations per hour, keyed on a particular aspect of environmental modelling and software. Active participants will be expected to have had the corresponding paper accepted for the Proceedings, previous to the Conference final submission deadline.
A Workshop, of which iEMSs has fifteen, is designed to promote discussions and interactive exchange of ideas and opinions. In keeping with this objective of making workshops into forums for discussion and innovation, we recommend that they are not to be composed of formal presentations. Instead, we anticipate a short seed talk by either an organizer or a designated keynote speaker, followed by an open exchange among participants.
CONTRIBUTIONS TO WORKSHOPS
Workshop participants who wish to make a statement should prepare a poster for the workshop, which can be presented as part of the workshop.
Workshop abstracts are another form to present your specific idea for the discussion to follow. Based on abstracts submitted the workshop organizers may wish to invite participants to also prepare a short paper for refereeing and for inclusion in the Proceedings. The review criteria for these short submissions would include relevance and likely impact on the workshop's objectives. It may be, however, more productive if these contributions become part of a joint position paper coming out of the workshop. Organizers and participants in each workshop are expected to co-author a paper(s) from the workshop discussions, which may be revised after the conference and published as papers in the Society's journal EMS
Workshop organizers, for their part, should "seed" the workshop with a short paper draft, outlining an initial position or objective for their workshop. The length of this paper is at the discretion of the workshop organizers, and should follow the timelines for the conference in general. An on-line discussion forum may be opened as soon as the Organizers' draft is available, and it can then incorporate other written submissions.
We urgently ask conference participants to express their interest in particular workshops that they may wish to attend by submitting short abstracts with their thoughts on the topic. This will give the organizers some idea about which workshops should be kept in the program and which should be merged with other ones or cancelled. Please note that all work that is to be considered for publication in the Proceedings must eventually be formatted according to the contribution submission style sheet.
W1. Effects of climate change: landscape modelling, providing decision support, and understanding uncertainties
Organisers: Richard S. Sojda, Northern Rocky Mountain Science Center, USGS, Bozeman, Montana, USA (email@example.com
Thomas C. Edwards, Utah Cooperative Wildlife Research Unit, USGS, Logan, Utah, USA
Karina Gibert, Technical University of Catalonia, Barcelona, Catalonia
Mark Borsuk. Dartmouth College, Hanover, New Hampshire, USA
Carmel Pollino, The Australian National University, Canberra, Australia
Tony Jakeman, The Australian National University, Canberra, Australia
Sponsored by: The U.S. Geological Survey - Climate and Land Use Change Branch
A current dilemma facing the world is that we need interdisciplinary, multi-scale science to effectively cope with and adapt to the effects of climate variability and change, but our current diverse capabilities across the landscape make it difficult to realize this integrated capacity. Many agencies are involved in collecting, analyzing, and using climate data and services. Uncertainty associated with both climate data, itself, as well as the impacts of changing climate on natural resources make providing such climate services to resource managers a challenge. Many researchers are building and empirically evaluating models and decision support tools for understanding climate variability and change. Can advanced methodologies in computer science, such as those based in artificial intelligence, lend insight? The kinds of climate issues that fisheries and wildlife biologists, foresters, water managers, park superintendents, agricultural producers, and other natural resource managers are asking are diverse and wide-ranging. Therefore, it is imperative to delineate their management decisions being supported as a basis for validation.
We invite presentations that present scientific findings, delineate new approaches, review existing literature, or demonstrate active models or decision support tools. The intended outcome of this workshop is a jointly authored article among interested attendees that (1)describes the challenges of modelling the effects of climate change as a basis for providing decision support, (2)provides a framework for how scientists are currently propagating uncertainties in their decision support models and tools, and how they are describing those uncertainties to the end user, and (3)suggests future directions for effectively providing decision support tools related to climate change.
W2. Linking ecologic performance measures to hydrologic models for improved water management
Organisers: D.P. Loucks, Cornell University, Ithaca, New York, US (DPL3@cornell.edu
Carmel Pollino, The Australian National University, Canberra, Australia
Wendy Merritt, The Australian National University, Canberra, Australia
Water managers are increasingly being asked to consider and provide for environmental flows as they make decisions regarding water allocations to water users. This increased interest in environmental flows stems from the steady degradation of many streams and rivers as the flows have been dammed, diverted and polluted. These hydrological alterations have led to widespread degradation of aquatic ecosystems. During the past decade the increasing concern about the impact of such interventions has motivated the development of numerous methods for assessing environmental flow. These can be grouped into different categories depending on their level of detail. The result of the application of a flow assessment method is one or more descriptions of possible future flow regimes for a river, each linked to an objective which this achieves in terms of the condition of the aquatic ecosystem.
What is the current state of practice in determining environmental flow requirements and implementing them? What evidence do we have that these methods work? What research is needed, and what institutional measures should be considered to enable their implementation? This workshop will address these questions and present some case studies of successes and failures.
W3. Modeling and deciding with stakeholders
Organisers:Alexey Voinov (firstname.lastname@example.org
Nigel W.T. Quinn (email@example.com
Goals: Stakeholder engagement, collaboration, or participation, shared learning or fact-finding have become buzz words and hardly any environmental assessment or modeling effort today can be presented without some kind of reference to stakeholders and their involvement in the process. Stakeholder involvement became almost a "must". This is clearly a positive sign, however in far too
many cases stakeholders are given only lip service and their engagement turns out to be quite formal. The linked session and workshop will explore the expanding field of participatory modeling and participatory decision analysis.
We intend to contribute to the emerging theory of stakeholder involvement, come up with some classifications and categorization of the multiple efforts in this area, and then focus on various applications and case studies.
In particular we will consider the various modeling tools and frameworks that are available and will decide what are the benefits that they present for participatory efforts.
W4. Integrating surface water quality models at the basin scale
Organisers: David Swayne, University of Guelph (firstname.lastname@example.org
Yongbo Liu, University of Guelph
William Booty, Environment Canada
David Lam, Environment Canada
Isaac Wong, Environment Canada
Innovative and complex models have been developed for watershed models at field scale and for watersheds up to several hundred km². While some improvements have still to be made, the process models are increasingly accepted as reliable and realistic, if somewhat cumbersome in implementation and calibration.
All of these problems grow with the size of the area under observation. Currently, there is a "space barrier" beyond which the only practical estimators are loading estimates and crude spreadsheet models. Transport ability of models can be a problem within a large basin that straddles more than a few ecozones (eg. the Lake Winnipeg Basin in North America).
This workshop seeks input for the best practices for watershed modelling, when applying small scale models to large scale basin transport and fate calculations.
W5. Modelling for Northern Environment's Sake: the models in need and the models in deed
Organisers: Georgii Alexandrov, National Institute for Environmental Studies, Japan (email@example.com
Kaz Higuchi, York University, Canada (firstname.lastname@example.org
The feature of Northern Environment is the lack of human domination. Indigenous population is relatively small and lives in balance with nature. This is a fragile balance, vulnerable to any technological intervention and climate change. Intensified development of the North may destroy this balance and make the indigenous population extinct. The purpose of this session is to identify the research lines in environmental modelling that may be essential for developing the knowledge that local communities will need to survive in a changing North.
Model use in the studies of Northern Environment (including case studies, decision models, and guidelines for involving stakeholders in model development)
- Environmental monitoring of the North (with respect to environmental impact assessments)
- Environmental management in the North (principles and conceptual frameworks)
- Ecological economics of indigenous lifestyle in the North
- Scenarios of the North development
- Scenarios of Northern climate change
W6. The Future of Science and Technology of Integrated Modeling
Organisers: Gerry Laniak (email@example.com
), Gene Whelan, Noha Gaber, Alexey Voinov, Vikas Kumar, Craig Aumann, Nigel Quinn, Kurt Wolfe and others TBD
This workshop will provide participants with the opportunity to discuss advancing the science and technology of integrated modeling for environmental assessment and decision making. Key questions for discussion include:
- What limitations currently exist, what new problems are emerging, what new technologies will be available?
- How important is re-use and interoperability of technologies?
- What will be the role of standards, ontologies and conventions?
- How to describe models, space, time, complexity?
- How will the QA associated with complex interdisciplinary information flow be achieved?
- How will uncertainty be conceptualized, quantified, and presented to decision makers?
- What issues will require long term research?
- How can the knowledge and products of research be more effectively (i.e., timely) transferred to the applied world and decision making?
In addition, the workshop will seek to identify software and computational technology trends and how these may impact the development of integrated modeling.
Outputs from the session will likely include a position paper and a technology roadmap.
W7. Web Portal for the Community for Integrated Environmental Modeling
Organisers: Dan Ames (firstname.lastname@example.org
), Noha Gaber
The USEPA has taken the lead on engaging the environmental modeling community to develop a community of practice to facilitate greater scientific collaboration and allow more efficient resources by limiting redundancies and duplication in technology development. The Community for Integrated Environmental Modeling was initiated December 2008 and focuses on multimedia and multidisciplinary integrated environmental modeling. The community of practice seeks to integrate and leverage the activities of existing organizations and communities to support and bridge these domain-specific communities but not duplicate their efforts. The goal of the Community's activities is to facilitate collaboration across domains and topical communities (e.g. hydrology, uncertainty, air quality, etc.). This "community of communities" will work with the existing communities to facilitate the flow of science and technology among these communities for the purpose of integrating the science/technology at higher levels for solving highly integrative problems. The Community for Integrated Environmental Modeling will also go beyond providing access to models, frameworks and tools but also serve as an important professional networking and collaboration resource to link researchers, modelers and model users.
The goal of this workshop is to present CIEM's collaborative web-portal to the wider modeling community, obtain their feedback and comments and encourage its use a key resource for the environmental modeling community.
W8. Complexity reduction strategies for effective use of process based models in environmental decision making
Organisers: Andrea Castelletti, Politecnico di Milano (email@example.com
Rodolfo Soncini-Sessa, Politecnico di Milano (firstname.lastname@example.org
Peter C. Young, Lancaster University (P.Young@lancaster.ac.uk
Hoshin V. Gupta, The University of Arizona (email@example.com
Marco Ratto, JRC-ISPRA (firstname.lastname@example.org
Computational limitations remain a major barrier to the effective and systematic use of large-scale, process-based simulation models in rational environmental decision-making. Whereas, complex models may provide clear advantages when the goal of the modelling exercise is to enhance our understanding of the natural processes, they introduce problems of model identifiability caused by over-parameterization and may not be the best choice for control, management and planning purposes, i.e. when any kind of feedback control, optimization or real-time forecasting is required. Therefore, a combination of techniques for complex model reduction with procedures for data assimilation and learning-based control could help to bridge the gap between science and practical decision-making.
This workshop will host discussions on the development and the application of new or improved approaches to effectively integrate process-based models and rational decision-making. The focus will be on, but not limited to, model complexity reduction techniques, such as dominant mode analysis, large model emulation and meta-modelling, response surfaces, diagnostic model evaluation, model structure and parameter estimation, model correction and, in the case of partial differential equations, methods such as stochastic collocation on sparse grids. Contributions on specific subtopics, such as design of experiments, sparse grids, feature extraction, etc. are also welcome. Applications might include large water system management, integration of water quality and quantity in surface and/or groundwater, management of large distribution networks, integrated management of surface and groundwater and real-time forecasting of flood inundation.
The discussion will be launched by a position paper that will be available in early March 2010. The workshop will be organized in two parts, consisting of a series of standpoint presentations (each five-minutes long) followed by a round table discussion moderated by the organizers and aimed at modifying, integrating and improving the position paper, which will result in a new collaborative paper. Potential contributors are invited to submit an extended abstract (max 2 pages) of their planned communication.
W9. Feedbacks in socio-environmental systems
Organisers: Joerg A. Priess, (email@example.com
), Nina Schwarz (firstname.lastname@example.org
), Sven Lautenbach (email@example.com
), Helmholtz-Centre for Environmental Research - UFZ, Department of Computational Landscape Ecology,
The dynamics of socio-environmental systems are driven by exogenous forces and by the interaction of endogenous system components, both within the social and environmental realms, as well as between them. In recent years, the number of models and modelling frameworks explicitly representing feedbacks has increased. Thus, a synthesis of chances and pitfalls in including feedbacks in such models is needed. Land use systems are an important example of socio-environmental systems and will be used as the main focus of the analysis.
Land use changes are on the one hand caused by a complex interaction of human and/or institutional land use demands and the environment which limits human use in several aspects. But on the other hand, land use changes and their effects at least partly influence the respective driving forces and future land-use decisions, e.g. by affecting the productivity of agricultural land, in- or decreasing the quality of life in (residential) urban areas, increasing accessibility and thereby facilitating the economic development of areas and so forth. Accordingly, feedback loops of (i) land use changes or (ii) changes of the state of the environment on the socio-economic drivers and land-use decisions are crucial for capturing at least some aspects of the complex socio-environmental system.
The workshop will draw upon the presentations given in the corresponding session on land-use focused feedbacks. During the workshop, a preliminary version of a synthesising review paper on this topic will be discussed (to be published on the conference website beforehand). This review paper focuses on land-use related feedbacks in various socio-environmental systems and analyses
- feedbacks that are usually tackled in such models,
- possibly neglected, but important feedbacks
- scales of feedbacks (temporal, spatial)
- implementation issues (calibration, validation, model coupling, how generic is the implementation, effect of initial conditions, uncertainty, scaling issues)
Selected participants will be invited to contribute as co-authors to the synthesis paper to be published in a special feature of Environmental Modelling and Software (to be confirmed).
W10. Impact Assessment (IA) for sustainable development linking the IA research community with IA policy makers and practitioners
Organisers: Jan-Erik Wien, Alterrra (Jan-Erik.Wien@wur.nl
Wageningen UR, The Netherlands
Jacques Jansen, Alterra (JacquesM.Jansen@wur.nl
Wageningen UR, The Netherlands
Onno Roosenschoon, Alterra - Wageningen UR, The Netherlands
The project LIAISE (Linking Impact Assessment Instruments with Sustainability Expertise) is a Network of Excellence starting end 2009 and funded by the EC in the 7th Framework Programme. The European Commission considers Impact Assessment (IA) as an important instrument for realizing the key objectives of the renewed Sustainable Development Strategy. IA must enhance the evidence base, transparency and effectiveness of decision making processes. However, existing research points out that the full potential of Impact Assessment is not being realized. Many tools to support IA have been developed, but are not yet fully employed by policy makers.
These missed opportunities are symptomatic of a large and deep gap between the broad communities of IA researchers and IA practitioners. Practitioners tend to look for tools that are simple, robust and transparent, while the researchers are more interested in the sophistication and innovative aspects of IA tools. The main purpose of LIAISE is to identify and exploit opportunities to bridge the gaps in a way that leads to an enhanced use of Impact Assessment tools in policy making. Its centerpiece will be a shared toolbox simultaneously accessible and useful for policy makers as well as for the research community. A structured dialogue between IA researchers, practitioners and policy makers will be organized to develop and update the IA research agenda.
The main goal of the workshop is to mobilize the international community of IA researchers (modelers and tool developers) and IA users towards an enhanced use of Impact Assessment tools in policy making. To achieve this goal requires an exchange of information between LIAISE and similar initiatives outside the EU. Possible topics for a session are:
- Attracting IA-relevant contributions from other scientific communities to develop a shared vision and set of implementing steps
- International standards and practices of IA and new internationally recognized benchmarks
- A shared IA toolbox as an infrastructure that meets the demands of policy makers
W11. W-DMTES-2010. Third Workshop on Data Mining as a tool for Environmental Scientists
Organisers: Karina Gibert, Knowledge Engineering and Machine Learning group and Dep. Statistics and Operations Research, both at Universitat Politecnica de Catalunya, Barcelona, Catalonia, Spain firstname.lastname@example.org
Miquel Sanchez-Marre, Knowledge Engineering and Machine Learning group. Universitat Politecnica de Catalunya, Barcelona, Catalonia, Spain
Joaquim Comas, Laboratory of Chemical and Environmental Engineering, University of Girona, Catalonia
Ignasi Rodriguez-Roda, Catalan Institute for Water Research, Catalonia
Antonio Ciampi, McGill University, Montreal, Canada
Ioannis Athanasiadis, Istituto Dalle Molle di Studi sull'Intelligenza Artificiale, Lugano, Switzerland
Joaquin Izquierdo, Grupo Multidisciplinar de Modelacion de Fluidos, Universidad Politecnica de Valencia, Spain
This workshop (W-DMTES-2010, 3rd iEMSs Workshop) aims to approach and to promote the interaction between the Environmental Sciences community to the Data Mining community and related fields, such as Artificial Intelligence, Statistics or other fields to discuss the contribution of Data Mining techniques to Knowledge Discovery in Environmental Sciences, as well as to make data mining techniques more accessible to environmental modellers and to give data miners and developers a better idea of the needs and desires of the environmental community. The workshop will introduce interested parties to a range of data mining techniques and a selection of software packages. We also invite presentations of interesting applications of data mining to environmental problems. New or improved techniques or methods are welcome, as well as innovative applications.
W12. Breakingdowndisciplinarysilos: what can
environmental modellers in different domains learn from each
Organiser: Barbara Robson(Barbara.Robson@csiro.au
Do modellers of terrestrial
ecology use the same type of models that aquatic ecological modellers use? Do
modellers of catchment hydrology employ the same criteria in evaluating model
complexity as those who model estuaries and coastal systems? Do limnological
modellers have something to learn from oceanographic modellers, and ocean
modellers something to learn from atmospheric modellers? Do biophysical
modellers have something to learn from economic modellers?
In short, are
environmental modellers employing consistent modelling frameworks, validation
techniques, evaluation criteria and approaches to handling uncertainty across disciplinary boundaries? If not, are there good reasons
for this? Are the differences due to inherent differences in the systems being
modelled and the questions being asked, or are they down to the differences in the training and expectations of scientists in each field?
What should we be learning from each other?
Those contributing to the workshop are also
encouraged to submit a review paper on a subject within this topic to the
The workshop will explore these issues, consider the lessons that
emerge, and work towards a position paper for Environmental Modelling and
knowledge in landscape ecological decision support tools: Benefits and cautions
Organiser: Ajith H. Perera (email@example.com
), Ontario Forest Research Institute, OMNR, Sault Ste. Marie, Ontario, CANADA
Lisa J. Buse (firstname.lastname@example.org
), Ontario Forest Research Institute, OMNR, Sault Ste. Marie, Ontario, CANADA
Richard S. Sojda (email@example.com
), Northern Rocky Mountain Science Center, USGS, Bozeman, Montana, USA
C. Ashton Drew, Dept. of Biology, North Carolina State University, Raleigh, North Carolina, USA
Chris J. Johnson, Ecosystem Science and Management Program, University of Northern British Columbia, Prince George, British Columbia, CANADA
Advances in remote sensing, GIS, and computing technology have made popular the development of decision support tools for conservation and
management of terrestrial and aquatic landscapes. In most instances both the development and applications are aided by knowledge of professional
experts, who impart their wisdom and insight on ecological patterns and processes. This contribution has remained informal in the past but
attempts are now being made to formalize the process of eliciting and including expert knowledge in landscape ecological decision support tools.
While the benefits that expert knowledge offers in this regard are many, it is necessary to ensure the same rigour and explicitness that would be
associated with using conventional empirical input in developing such tools. Recent advances in science, especially in statistical methods are
useful in this endeavour.
This workshop is intended to address the use of expert knowledge in landscape ecological decision support systems and explore the advantages and
limitations of its use. We invite presentations that discuss experiences, in both research and/or implementation that may include many steps of
using expert knowledge: eliciting and formalizing, assessing uncertainty, validating, and incorporating expert knowledge into the development cycle
of decision support systems. Also, we welcome demonstrations of models or decision support tools and literature reviews or syntheses that involve
expert knowledge and its use in landscape ecology.
The intended outcome of this workshop is a jointly authored article among interested attendees that (1) highlights the diversity of roles of expert
knowledge in developing and implementing decision support tools, (2) summarizes methods employed in eliciting, formalizing, and incorporating
expert knowledge, (3) examines the advantages and disadvantages of applied use of expert knowledge, (4) provides insight to the state of knowledge,
and (5) suggests topical areas for further research related to use of expert knowledge in landscape ecological decision support tools.
W14. “S” is for “Software” – Licensing Issues, Shared Code Development, and Why You Should Consider Going Open Source
Organisers: Daniel P. Ames, Idaho State University (firstname.lastname@example.org
Alex Storey, University of Guelph (email@example.com
Repeat after me: “I [state your name] am not going to get rich writing environmental modeling software.” The sooner you and I and the rest of our community accept this truism, the more quickly we can advance our science by breaking down walls of software secrecy – be they intentionally or unintentionally emplaced – and hence fostering collaborations at all phases of modeling software development, testing, and use. Indeed, a new spirit of software “openness” has sprung forth in some of the least likely of places. To wit: Microsoft now sponsors a fast growing open source software development community portal and has released all of its key development languages as free “express editions” – in part to support the development of open source software. This movement definitely follows the long standing scientific tradition of publishing one’s research methods and findings in the open literature; certainly the release of source code is the most fundamental form of publication in the field of environmental modeling and software.
There are many reasons why you may not be participating in the open source movement. For example: discomfort at the thought of other individuals viewing your spaghetti code, lack of a clear understanding of the different licenses available and what they mean, lack of time and energy to manage such an effort, or possibly delusional ideas about the fortune to be made from selling your latest groundwater model optimization code (if this last reason is yours, then be sure to review the opening mantra in this workshop summary).
The purpose of this workshop is to address these issues through presentations and discussion of 1) licensing options and implications, 2) shared code development tools and systems, and 3) shared/open source model software development case studies. Participation is sought from individuals with experience and success stories related to this topic. Also, individuals new to open source software development, or who are afraid that one day their code will be sitting in a doorstop (the final resting place of so much good code long since forgotten in an old worn out computer) are also highly encouraged to join this workshop.
W15. Tales of DSS adoption: How and why are DSS successful in environmental and related sectors?
Organisers: Marten Stavenga (firstname.lastname@example.org
Brian S. McIntosh (B.McIntosh@cranfeld.ac.uk
Serena Chen (email@example.com
Tony Jakeman (firstname.lastname@example.org
Concerns persist that DSS tools fail more often than succeed in being adopted by the intended end users. Contemporary environmental concerns including cross-border pollution and integrated resource management under conditions of climate change require larger, multi-scale, complex modeling efforts. Such concerns must be addressed but present significant challenges to the achievement of successful adoption of Decision Support Systems. This workshop will present a number of case studies of successful DSS adoption in environmental and related sectors, such as agriculture, fisheries, production and environmental health sectors. Each case study will review DSS adoption as a process rather than as a single event with the aim of teasing out the factors which influence adoption in context.
The workshop will be organized based on a matrix framework using two perspectives: a) type of DSS application, and b) subject area / context of application. The subject application areas in scope will include all relevant areas of environmental sciences, including, but not limited to waste, environmental pollution, water management, climate change, environmental planning, environmental chemistry. In addition, also DSS applications in bordering sectors are in scope, such sectors being, but not limited to, forestry, oceans and fisheries, agriculture, environmental health, sustainable production and consumption.
What have been key factors for successful adoption of DSS in these various sectors? What have been pitfalls with adoption and application of DSS? What are key learnings on the adoption process across these various sectors? This workshop will aim to address these questions and issues.
The goal of this workshop is to deliver key insights for DSS developers to create a deeper understanding what the real uses and needs are for DSSs.
Those contributing to the workshop are also encouraged to submit an abstract on a subject within this topic.
W16. Interoperability for Web Based Modeling
Hosted by the Open Geospatial Consortium, Inc (OGC)
Organisers: David Arctur, Interoperability Program Director, Open Geospatial Consortium
George Percivall, Executive Director Interoperability Program, and OGC Chief Architect
Phillip C. Dibner, Ecosystem Research
The goal of this workshop is to develop familiarity among iEMSs participants with OGC open standards for web services, with particular attentionto the utility of these and complementary standards to support improved interoperability of environmental modeling. The workshop will also be positioned to identify and prioritize challenges and issues for joint work by OGC and iEMSs members as part of the Alliance partnership established between these two organizations in late 2009.
Background: The OGC has developed a range of OGC Web Service (OWS) standards to improve the ease at which location or geospatial information can be discovered, accessed, fused and applied to increasingly complex problems facing decision makers worldwide. In the past several years, OGC members have emphasized standards development in support of broad geosciences objectives in the areas of hydrology, climate change, ocean observation, geology, and environmental science. Recently, OGC released a family of Sensor Web Enablement standards which provide rapid and real time access to a range of fixed and mobile sensors, and the ability to access, integrate, fuse and apply sensor information for decision making in a location and temporal context. This coupled with the release of the OGC Web Processing Service provides a significant level of standards-based capability to help advance the objectives of the modeling community.
Proposed focused work sessions and discussions
- Overview of OGC organization and process, and OGC service implementation specifications as they relate to location interoperability. Emphasis on user community benefits being realized in environmental, ocean, climate and other science communities of interest.
- Presentation of OGC standards and best practices relevant to environmental modeling. Discussions include emphasis on Web Processing Services, Workflow Management, Digital Rights management, Sensor Web Enablement and other standards.
- Group Discussion. Development of issues. Opportunities and challenges potentially ripe for OGC / iEMSs collaboration, areas for immediate use of OGC standards, iEMSs use cases for potential use in future collaborative project activities.
- Further discussions on potential collaboration between OGC and iEMSs.
W17. Low-carbon industry and multi-scale input-output modeling
Hosted by Beijing Development Area Co., Ltd. (BDA Ltd), Beijing, China
Organisers: G. Q. Chen, State Key Lab. for Complex Systems, Peking University / Institute of Low-carbon Industry, BDA Ltd, Beijing, China. (email@example.com
B. Chen, School of Environment, Beijing Normal Univ. / Institute of Low-carbon Industry, BDA Ltd, Beijing, China (firstname.lastname@example.org
S.Y. Zhou, Institute of Low-carbon Industry, BDA Ltd, Beijing, China (SYZhou_pku@yahoo.com
H.S. Tang, Dept. of Civil Eng., City College, City Univ. of New York, NY, USA (email@example.com
Aims and Topics:
As an urgent dilemma facing the human society, with all our strength we make efforts to reduce and mitigate greenhouse gas (GHG) emissions at distinctive industrial levels, but as a whole the carbon emission is booming with rapid increase. This is due to the bottom end characteristics of conventional mitigation strategies necessitating intensive economic input at the end with massive carbon cost. The emerging trend to resolve the dilemma is based on the low-carbon systems engineering supported by databases and module packages associated with top-down and bottom-up integrated multi-scale multi-regional Leontief modeling.
We aim to identify the systems theory, methods, technologies, business modules and best practices in low carbon development that could be applied to reduce GHG emissions for nations, regions, sectors, and industries. To achieve the goal of the carbon reductions as reinforced by the Copenhagen Accord, specific efforts on environmental modelling will be instrumental to obtain more fruitful results. This may help make corresponding government policies to promote the energy efficiencies and reduce carbon emission intensity at each level of the concerned systems, provoke financial incentives in the form of domestic and international investments for low carbon projects, and spur development of multi-scale input-output tools and deployment of new energy, environmental and ecological technologies to realize carbon emission reduction.
The workshop will be structured but not limited to the following inter-dependent topics:
- Low-carbon industry park
- Low-carbon building and real estate
- Low-carbon supply chain
- Low-carbon logistics
- Low-carbon evaluation and consultant
- Multi-scale ecological input-output models
- Multi-scale multi-regional databases for direct and embodied carbon inventory
- Renewable and substitute energy
- Life cycle analysis
- Environmental accounting
- Greenhouse emission accounting
- Embodied energy accounting
- Carbon footprint
- Low-carbon wastewater treatment
- Carbon measurement
- Carbon capture
- Low-carbon technologies
This special workshop invites professionals from universities, enterprises, and administrative departments concerned with low-carbon projects and multi-scale input-output methods to make effective comparisons, to present and to share new ideas, innovations, trends, experiences, and concerns in the environmental modeling and systematic simulation. We also believe the workshop for low-carbon industry and multi-scale input-output modeling will become an important platform for the other participants of iEMSs 2010 to exchange knowledge, perspectives and ideas for the low-carbon economy and to discuss the most recent advances in simulation models and assessment methods from both theoretical and practical perspectives.
A two-day workshop will be held during June 5 - 7, 2010. The initial workshop will be devoted to invited and contributed presentations around the topics just outlined. The rest of the workshop will be devoted to Institute of Low-carbon Industry of BDA Limited and round-table discussion, oriented to identifying specific collaborative research projects and potential funding sources, which will further clarify potential research opportunities among the participants.
These interactions should yield multi-institutional teams prepared to pursue collaborative interdisciplinary research projects. In addition, selected and peer-reviewed papers from plenary and contributed presentations will be published as a contribution to specific journals.