Ecosystem Approach Community of Practice Overview

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This page is dedicated to document the activities of the Ecosystem Approach Community of PracticeA term coined to capture an "activity system" that includes individuals who are united in action and in the meaning that "action" has for them and for the larger collective. The communities of practice are "virtual", ''i.e.'', they are not formal structures, such as departments or project teams. Instead, these communities exist in the minds of their members, are glued together by the connections they have with each other, as well as by their specific shared problems or areas of interest. The generation of knowledge in communities of practice occurs when people participate in problem solving and share the knowledge necessary to solve the problems. (EA-CoPCommunity of Practice.).

It is organised in the following three areas:

  • The iMarine Board area which introduces the board, the rules governing its functioning, the working plan and the meetings;
  • The Overall Workplan section which provides an overview of the iMarine Board identified activities throughout the project life span
  • The Implementation results area which describes the outputs of iMarine Board's activities, namely (i) the results of mediation activities, the Governance mechanisms and policies governing the envisaged infrastructure, the harmonization of systems resulting from the requirements characterising the expected infrastructure, and the validation of delivered products.

The iMarine Board

The iMarine Board is a key mechanism for guaranteeing constant interactions with the EA-CoPCommunity of Practice. initiatives involved in the project. This board is described through a number of pages:

  • the EA-CoP Board page describes the functioning of this Board;
  • the iMarine Board Rules and Procedures page describes the regulations and principles supporting the operation of this board;
  • the work plan page describes the work plans of the scheduled governing board activities;
  • the meetings page documents the iMarine Board and Advisory Council meetings, and other events organised to support the board's activity including their reports, recommendations and conclusions;

Outcome

The Outcome of Board’s activities are to be found at the wider level of the EA Community of PracticeA term coined to capture an "activity system" that includes individuals who are united in action and in the meaning that "action" has for them and for the larger collective. The communities of practice are "virtual", ''i.e.'', they are not formal structures, such as departments or project teams. Instead, these communities exist in the minds of their members, are glued together by the connections they have with each other, as well as by their specific shared problems or areas of interest. The generation of knowledge in communities of practice occurs when people participate in problem solving and share the knowledge necessary to solve the problems., and reflect where Board’s outputs have an impact on the wider EA Community of PracticeA term coined to capture an "activity system" that includes individuals who are united in action and in the meaning that "action" has for them and for the larger collective. The communities of practice are "virtual", ''i.e.'', they are not formal structures, such as departments or project teams. Instead, these communities exist in the minds of their members, are glued together by the connections they have with each other, as well as by their specific shared problems or areas of interest. The generation of knowledge in communities of practice occurs when people participate in problem solving and share the knowledge necessary to solve the problems..

The Outcome of the Board, and indeed the entire project, activities is documented at the page dedicated to the iMarine Business Cases

Publications

the iMarine project has been successful in producing publications, either through consortium members activity, or with EA-CoPCommunity of Practice. partners. The list includes:


BiolCube:

G. Coro, P. Pagano, A. Ellenbroek, 2013, Combining Simulated Expert Knowledge with Neural Networks to Produce Ecological Niche Models for Latimeria chalumnae, Ecological Modelling, DOI 10.1016/j.ecolmodel.2013.08.005, Ed. Elsevier.
(Acknowledged in) R. Froese, J. Thorson, R. B. Reyes Jr.. 2013. A Bayesian Approach to the estimation of length-weight relationships in fishes. Journal of Applied Ichthyology
P. Pagano, G. Coro, D. Castelli, L. Candela, F. Sinibaldi, A. Manzi. 2013. Cloud Computing for Ecological Modeling in the D4ScienceAn e-Infrastructure operated by the D4Science.org initiative. Infrastructure. Proceedings of EGI Community Forum.
D. Castelli, P. Pagano, G. Coro, F. Sinibaldi. 2012. Modellazione della Nicchia Ecologica di Specie Marine (Marine Species Ecological Niche Modelling). In Le Tecnologie del CNR per il Mare (CNR Marine Technologies) pp. 140, Ed. CNR (Roma, Italy).
D. Castelli, P. Pagano, L. Candela, G. Coro. 2013. The iMarine Data Bonanza: Improving Data Discovery and Management through an Hybrid Data Infrastructure, In Proceedings of the International Conference on Marine Data and Information Systems (IMDIS), Lucca.


ConnectCube:

P. Fafalios, M. Salampasis and Y. Tzitzikas. 2013. Exploratory Patent Search with Faceted Search and Configurable Entity Mining. Proceedings of the 1st International Workshop on Integrating IR technologies for Professional Search, in conjunction with the 35th European Conference on Information Retrieval (ECIR'13), Moscow, Russia.
J. Barde P. Cauquil, N. Billet. 2013. A Knowledge Base for Exploited Marine Ecosystems, Proceedings of the 1st international Workshop on Semantics for Biodiversity, in conjunction with Extended Semantic Web Conference (ESWC 2013), Montpellier, France.
P. Fafalios and Y. Tzitzikas. 2013. X-ENS: Semantic Enrichment of Web Search Results at Real-Time, Demo Paper, Proceedings of the 36th International ACM SIGIR Conference on Research and Development in Information Retrieval (demo paper), SIGIR 2013, Dublin, Ireland.
Y. Tzitzikas, C. Allocca, C. Bekiari, Y. Marketakis, P. Fafalios, M. Doerr, N. Minadakis, T. Patkos and L. Candela. 2013. Integrating Heterogeneous and Distributed Information about Marine Species through a Top Level Ontology, 7th Metadata and Semantics Research Conference, MTSR 2013, Thessaloniki, Greece.
Anonymous. 2013. A Social Networking Research Environment for Scientific Data Sharing: The D4ScienceAn e-Infrastructure operated by the D4Science.org initiative. Offering, Poster submitted for the Fifteenth International Conference on Grey Literature, 2013, Bratislava, Slovak Republic.
L. Candela, D. Castelli, G. Coro,P. Pagano, F. Sinibaldi. 2013. Species Distribution Modeling in the Cloud, Concurrency and Computation: Practice and Experience, Ed. Wiley (onlinelibrary.wiley.com/doi/10.1002/cpe.3030/abstract).


GeosCube:

G. Coro, L. Fortunati, P. Pagano. 2013. Deriving Fishing Monthly Effort and Caught Species from Vessel Trajectories. To be published in Oceans 2013, Proceedings of MTS/IEEE.
D. Castelli, P. Pagano, G. Coro. 2013. Variazioni Climatiche ed Effetto sulle Specie Marine (Climate Changes and Effect on Marine Species)”. In Le Tecnologie del CNR per il Mare (CNR Marine Technologies) pp. 139, Ed. CNR (Roma, Italy).
D. Castelli, P. Pagano, G. Coro. 2013. Elaborazione di Dati Trasmessi da Pescherecci (Processing of fishing vessel transmitted information). In Le Tecnologie del CNR per il Mare (CNR Marine Technologies). pp. 133, Ed. CNR (Roma, Italy).


StatsCube:

G. Coro, P. Pagano, A. Ellenbroek. 2013. Automatic Procedures to Assist in Manual Review of Marine Species Distribution Maps. To be published in M. Tomassini et al. (Eds.): International Conference on Adaptive and Natural Computing Algorithms (ICANNGA’13), Springer, Heidelberg.
L. Candela, G. Coro, P. Pagano, 2013. Supporting Tabular Data Characterization in a Large Scale Data Infrastructure by Lexical Matching Techniques, In M. Agosti et al. (Eds.): IRCDL 2012, Communications in Computer and Information Science Volume 354, pp. 21–32. Springer, Heidelberg.
G. Coro, A. Gioia, P. Pagano, L. Candela. 2013. A Service for Statistical Analysis of Marine Data in a Distributed e-InfrastructureAn operational combination of digital technologies (hardware and software), resources (data and services), communications (protocols, access rights and networks), and the people and organizational structures needed to support research efforts and collaboration in the large., In Proceedings of the International Conference on Marine Data and Information Systems (IMDIS) Lucca, Italy.
W. Appeltans, P. Pissierssens, G. Coro, A. Italiano, P. Pagano, A. Ellenbroek, T. Webb. 2013. Trendylyzer: a Long-Term Trend Analysis on Biogeographic Data, In Proceedings of the International Conference on Marine Data and Information Systems (IMDIS). Lucca, Italy.
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