The skills learned will range from GIS-driven statistical analysis to complex agent-based models of coupled human-natural interactions. Scholars and IT experts from around the world will be on hand to help the participants independently create, run and analyze coupled human-environmental models and scenarios. The school will tackle key modeling questions related to integrated vs. standalone modeling tools, semantic modeling, how to measure models and data interoperability, etc. Ways of extending ARIES with other existing models (written in Java, R, Python, etc.) will be also discussed during the school.
We are opening applications for 25 participants from governmental, non-profit and academic institutions. Scholarships may be available for exceptional cases. Participation is competitive and will be evaluated by the science board. 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.
Participants will have the option of continuing their interaction with the ARIES network to benefit from and contribute to one of the largest public repositories of ecosystem services models and data. The school also serves as an entry point for the students to become part of the ARIES community platform which will provide them with means of sharing their own ARIES projects/models online, together with a set of communication and collaboration tools, such as issue management, live chat and model documentation tools.
It is expected that many participants will bring a problem statement and some data to describe it, and will leave with a developed framework tailored to their case study, together with the knowledge required to build a working solution. Upon acceptance of the participants, the School’s scientific board will approach them to discuss the specific problems they wish to investigate during the course. Depending on the interests of the accepted applicants, a limited number of thematic groups will be identified, and the participants will be grouped according to the similarities of the problem proposed in their application. In addition to daily plenary instruction and discussion, each group will be assisted by a dedicated teacher and teaching assistants.