@article{noleto-filho_new_2021,

title = {New, flexible and open-source fisheries self-reporting app: The Shiny4SelfReport},

author = {E. M. Noleto-Filho and R. Angelini and J. Steenbeek and A. Carvalho},

url = {https://www.sciencedirect.com/science/article/pii/S2352711021001254},

doi = {10.1016/j.softx.2021.100843},

issn = {2352-7110},

year  = {2021},

date = {2021-12-01},

urldate = {2021-12-01},

journal = {SoftwareX},

volume = {16},

pages = {100843},

keywords = {fisheries, Monitoring, R software, Self-reporting, Shiny apps, software development},

pubstate = {published},

tppubtype = {article}

}

@article{santos_digital_2020,

title = {A Digital Game-Based Simulation Platform for Integrated Marine Spatial Planning: Design Challenges and Technical Innovations},

author = {C. Santos and H. Warmelink and W. Boode and P. de Groot and K. Hutchinson and M. Gon\c{c}alves and J. Steenbeek and I. Mayer},

url = {https://www.thejot.net/article-preview/},

year  = {2020},

date = {2020-01-01},

urldate = {2020-06-19},

journal = {The Journal of Ocean Technology},

volume = {15},

number = {2},

pages = {78--100},

abstract = {The 2014 European Union (EU) Directive on maritime spatial planning (MSP) lays down obligations for the EU member states to establish a maritime planning process, resulting in a maritime spatial plan by March 31, 2021. The EU Directive defines key principles for planning, such as evidence-based and stakeholder-oriented, for which integrative planning support systems (PSS) are needed. The main objective of the research is to contribute to the understanding and innovation of planning support systems through the use of game technology and game principles. The MSP Challenge simulation platform has been designed for participative integrated assessment (PIA) and social learning. The authors present the design and engineering challenges as well as the five innovative technical solutions of the platform: a modular client-server architecture with a Unity-based client; incorporating a large volume and variety of geospatial, marine, and maritime data; interconnecting with the ecosystem modelling platform Ecopath with Ecosim (EwE); interconnecting with simulators for shipping and energy; and providing technical functionalities to set up and moderate highly interactive multi-player game sessions. The authors discuss lessons learned and provide directions for future research and development for both the MSP Challenge simulation platform and maritime planning support systems at large.},

note = {Library Catalog: www.thejot.net},

keywords = {Ecospace, model interoperability, MSP, niche modelling, science-policy interface, serious gaming, software development},

pubstate = {published},

tppubtype = {article}

}

@article{steenbeek_ecopath_2016,

title = {Ecopath with Ecosim as a model-building toolbox: Source code capabilities, extensions, and variations},

author = {J. Steenbeek and J. Buszowski and V. Christensen and E. Akoglu and K. Aydin and N. Ellis and D. Felinto and J. Guitton and S. Lucey and K. Kearney and S. Mackinson and M. Pan and M. Platts and C. J. Walters},

url = {http://www.sciencedirect.com/science/article/pii/S030438001500280X},

doi = {doi:10.1016/j.ecolmodel.2015.06.031},

issn = {0304-3800},

year  = {2016},

date = {2016-01-01},

urldate = {2016-01-01},

journal = {Ecological Modelling},

volume = {319},

pages = {178--189},

abstract = {Ecopath with Ecosim (EwE) is a widely applied food web model that is mostly known as desktop software for the Microsoft Windows platform. The freely available Microsoft .NET source code of EwE, however, provides a range of possibilities to use the model in different ways, to customize and extend the model, and to execute the model on different operating systems. We provide an overview of the EwE source code, its philosophy, and its technical capabilities, targeted to model builders and advanced users of the EwE software. We showcase novel scientific applications of the EwE model that have been facilitated because of the modular approach of the system. We also present three additional versions of EwE that have been written in different computer languages for dedicated purposes. Lastly, we provide an entry point for users for obtaining and using the source code for custom purposes.},

keywords = {Ecopath with Ecosim, ecosystem, fisheries, food web, model interoperability, software development},

pubstate = {published},

tppubtype = {article}

}

@article{scott_stepwise_2016,

title = {A Stepwise Fitting Procedure for automated fitting of Ecopath with Ecosim models},

author = {E. Scott and N. Serpetti and J. Steenbeek and J. J. Heymans},

url = {http://www.sciencedirect.com/science/article/pii/S2352711016000054},

doi = {10.1016/j.softx.2016.02.002},

issn = {2352-7110},

year  = {2016},

date = {2016-01-01},

urldate = {2016-01-01},

journal = {SoftwareX},

volume = {5},

pages = {25--30},

abstract = {The Stepwise Fitting Procedure automates testing of alternative hypotheses used for fitting Ecopath with Ecosim (EwE) models to observation reference data (Mackinson et al. 2009). The calibration of EwE model predictions to observed data is important to evaluate any model that will be used for ecosystem based management. Thus far, the model fitting procedure in EwE has been carried out manually: a repetitive task involving setting \> 1000 specific individual searches to find the statistically ‘best fit’ model. The novel fitting procedure automates the manual procedure therefore producing accurate results and lets the modeller concentrate on investigating the ‘best fit’ model for ecological accuracy.},

keywords = {Ecopath with Ecosim, model fitting, software development},

pubstate = {published},

tppubtype = {article}

}