Date and timetable of the Course
Dates: 20th – 24th of November, 2017
Duration: 5 days
Timetable: Monday-Friday 9:00-13:00, 14:00-18:00
Participation to the course is competitive. The school is open to participants from governmental, non-profit and academic institutions who wish to further their skills in understanding, modeling and managing ecosystem services. Regardless of disciplinary background, each prospective candidate should possess the basic skills outlined below. All software, skills and materials obtained during the school will remain available to participants indefinitely for not-for profit use. Prospective participants from corporate and consulting businesses are welcome to apply, but should contact the school by e-mail before application to discuss potential limitations.
The school is technical in nature and is intended for skilled, active practitioners of environmental science and modeling. The following should be intended as minimum requirements. In addition, the modeling platform used in the school is highly innovative and sophisticated. Candidates with a special interest in the fields of ecoinformatics and integrated computer modeling are encouraged to contact the school by e-mail to discuss the fit of the school to their interests.
The students must bring a recent laptop running a 64-bit operating system (Windows, Macintosh or Linux) with good disk storage and RAM (4GB minimum, more preferred). The software used in the school is not compatible with a 32-bit architecture. Please contact the school by e-mail with any questions on the adequacy of the hardware.
Ferdinando Villa (BC3)
Ken Bagstad (USGS)
Brian Voigt (University of Vermont)
Ioannis Athanasiadis (Democritus University of Thrace)
Stefano Balbi (BC3)
Javier Martinez (BC3)
A detailed study program will be developed after applications have been approved, structured around focus groups that will cover broad areas of ES science. The groups will be structured based on the topics covered and the students will develop certain competencies to offer them professional skills.
|Theory of cloupled human-enviromental systems||20 hours|
|Basics of integrated modeling and k. LAB software instruction||15 hours|
|The k.IM semantic language and collaborative modeling||15 hours|
|Biophysical and social modeling in k. LAB||15 hours|
|Analysis and interpretation of results and scenario development||15 hours|
|Non-curricular working Hours|
|Students contributing to academic publications||75-115 hours|
Ferdinando Villa holds a Ph.D. in theoretical Ecology and had a long parallel career as a scientific software designer and engineer. After working in many fields of Ecology he has focused his research at the interface of policy, ecology, economics and computer science, concentrating on artificial intelligence approaches to assist environmental decision making and natural system assessment and valuation. He collaborates with many international institutions and governments on environmental assessment methods and is the author or coauthor of 120+ scientific publications and many open source software packages. He has been the recipient of several million USD from the US National Science Foundation, the European Union, governments and private foundations for projects that integrate novel science with sophisticated decision support method. His most current effort, the ARIES project (www.ariesonline.org) is redefining the field of integrated assessment of ecosystem services and providing new approaches to address the challenge of environmental decision making in the 21st century.
Dr. Brian Voigt received his Ph.D. in Natural Resources from the University of Vermont, USA. Brian has a B.A. in Mathematics and Sociology from Miami University, OH, USA and a Master’s degree in City and Regional Planning from Clemson University, SC, USA. He is currently a Research Professor in the Gund Institute for Ecological Economics at the University of Vermont and a lead developer of the ARIES modeling platform. Brian’s research interests include developing and applying computer based systems for modeling land use change and the interaction between humans and their environment. Current research topics include modeling freshwater ecosystem services and the spread of infectious disease in Tanzania, modeling environmental tradeoffs resulting from alternative development patterns in Chittenden County, VT, USA, and modeling the impacts to recreation and groundwater resources resulting from the development of oil, gas and mineral resources on federally owned public lands in the western USA.
Ken Bagstad is a Research Economist and former Mendenhall Postdoctoral Fellow working with the U.S. Geological Survey’s Geosciences & Environmental Change Science Center in Denver. For this work, he uses GIS and modeling to map and value ecosystem service flows at several sites in the United States and globally. He has worked on pilot projects using ecosystem services modeling tools such as ARIES, SolVES, and InVEST to incorporate ecosystem services into management with U.S. federal agencies, including the National Park Service, Bureau of Land Management, and USDA Forest Service. Ken received his Ph.D. from the University of Vermont, M.S. from Arizona State University, and B.A. from Ohio Wesleyan University. He has taught ecosystem services modeling at the University of Denver, the University of Vermont, and has led development of training materials for biophysical modeling of ecosystem services as part of the World Bank’s WAVES program.
Since my Master’s in Environmental Economics, I’ve been studying interactions between human and natural systems from a holistic perspective, in which theories and approaches from both social and environmental scientific practice are integrated to overcome disciplinary boundaries and provide more accurate representations of behaviours, spatial dependencies and temporal dynamics. This emphasis led me to pursue a Ph.D. in Analysis and Governance of Sustainable Development and to direct my interests towards cutting edge research in human geography, making use of computationally intensive, non-equilibrium methods to explore the complexity of social-ecological systems (SES)
I am Assistant Professor with the Information Technology Group at Wageningen University, in the Netherlands. Previously, I was a faculty member with the Democritus University of Thrace, Greece, and a Researcher with the Dalle Molle Institute for Artificial Intelligence, in Switzerland.
I investigate complex environmental applications of computer science and the enabling role of computer science for investigating nature. My areas of expertise include ecoinformatics, integrated modelling, data and model interoperability, intelligent systems, agents, decision support systems, knowledge engineering, metadata and ontologies and machine learning. My work has been applied in several domains, including agriculture, water management, air quality, ecosystem services, tourism, and meteorology. I serve as an Editor of Environmental Modelling and Software a scholar journal published by Elsevier.
I am a Research Fellow studying Ecosystem Services at the University of Southampton, United Kingdom. My main research interests include monitoring, modelling and mapping natural resources and their use to help achieve sustainable use, with a particular focus on African tropical forests and food security. I currently work on two Ecosystem Services for Poverty Alleviation (ESPA) projects, namely Attaining Sustainable Services from Ecosystems through Trade-off Scenarios (ASSETS) and Which Ecosystem Service Models Best Capture the Needs of the Rural Poor (WISER). Previously, I worked on the Valuing the Arc project which aimed to improve knowledge of the ecosystem services provided by the Eastern Arc Mountains of Tanzania, of their contribution to human welfare, and to find solutions to managing these services in a sustainable way. Specifically, I was based within the carbon-related services module; focusing on measuring and modelling carbon storage and sequestration within the forests and woodlands of the Eastern Arc and on estimating the value of these services.
J. Luke Scott is a Software Engineer from Seattle, USA, with over 10 years of industry experience prior to returning to academia to complete a Masters program in Computer Science at the University of Luxembourg with a focus on Intelligent Systems and Green IT. He received his B.A. in Economics at The University of Washington and has since worked as a consultant and developer in Seattle and the Bay Area. His Master Thesis, a collaboration between the University of Luxembourg and BC3, and advised by Prof. Ferdinando Villa, was on the integration of spatio-temporal scales in agent systems, with Thinklab as the reference platform for the work. Through this project he has helped create the agent subsystem within Thinklab, and will continue to be involved in its development. Prior to working with Prof. Villa, he had done advisory and development work on the Ecosystem Valuation Toolkit for Earth Economics in Seattle, USA, and for the Green IT project under Prof. Pascal Bouvry at the University of Luxembourg. His most recent industry position was at Amazon.com in Seattle.classification.
I am a Biologist with a MSc on Freshwater Ecosystems Management and Assessment (University of Murcia, Spain) and a MSc on Environmental Engineering and Consulting (EOI – Escuela de Organizacion Industrial, Spain). In 2014 I received my PhD in Ecology on the topic “Modelling and establishment of plant indicators of ecological status for semiarid mediterranean saline wetlands” from the Ecology and Hydrology department of the University of Murcia (Spain). My main research topics are landscape ecology, remote sensing, ecosystem services and spatio-temporal ecosystem modeling using several open source programming languages, such as R, Python and GRASS GIS. I have worked on several projects, such as the ‘Integrated Modelling for the Sustainable Management of the Mar Menor lagoon’, the ‘Application of the European Water Framework and the Natura 2000 Network on the Segura Basin’ and the ‘Millenium Ecosystem Asessment in Spain’. I have been coordinating several international environmental projects as a project manager at ttz-Bremerhaven (Germany). I was a postdoctoral research fellow at the Joint Research Centre (JRC) of the European Commission working in Ispra (Italy) on the Digital Observatory for Protected Areas (DOPA) developing spatial biophysical habitat models and indicators for monitoring the state and pressures of protected areas globally (eHabitat+). Currently I am working at BC3 (Basque Centre for Climate Change) for the ARIES and AQUACROSS projects.
Dr. Marta Pascual is a Post-Doctoral Researcher. 6 years of professional experience in different lines of marine and coastal research applied to Marine Spatial Planning (MSP); Ecosystem Services Mapping and Modelling; Integrated Coastal Zone Management (ICZM); Biological Valuation (BV) and Ecosystem Services Valuation (ESV). Participated as researcher in the following projects: FP7-OCEAN-2009 MESMA (Monitoring and Evaluation of Spatially Managed Areas); BIZKAIZET (Catalogación de las áreas de especial interés para la conservación de los cetáceos en el golfo de Bizkaia); FP7-OCEAN- 2011-3 PERSEUS (Policy-oriented marine Environmental Research for the Southern European Seas); FP7-OCEAN-2011 CoCoNET (Towards COast to COast NETworks of marine protected areas); GEF project: Integration of climatic variability and change into national strategies to implement the ICZM Protocol in the Mediterranean; DG-MARE Call for Tenders No MARE/2013/11: Assistance Mechanism for the Atlantic Action Plan – Spanish Focal Point. Her current research interests are focused on ecosystem services mapping, modelling and evaluation using the ARIES and k.LAB tool; as well as in spatial planning management, socio-economics’, equity, governance, decision-support tools and the implementation of European directives (WFD, MSP and MSFD). Her work has also succeeded in publications in international peer-reviewed journals.
The International Spring University on Ecosystem Services Modeling is supported by Bilbao City Council and Bizkaia Provincial Council through Bilbao Ekintza, EPEL and Beaz.
We are thankful to all these institutions who provided us the venue, KBI digital, to organize the 2016 edition of the school during two weeks.
We are also specially grateful to Bilbao Ekintza for backing this project and for all their help.
This dissemination activity is funded by MINECO “Convocatoria Proyectos de Investigación Fundamental no Orientada 2012.CAUSE Project (CTM2012-39500).