Learning from Collaboratively Playing with Simulation Models in Policy Making: An Experimental Evaluation in Fisheries Management

2017 ◽  
Vol 34 (4) ◽  
pp. 403-413 ◽  
Author(s):  
Hendrik Stouten ◽  
Hans Polet ◽  
Aimé Heene ◽  
Xavier Gellynck
2012 ◽  
Vol 28 (2) ◽  
pp. 757-770 ◽  
Author(s):  
Hendrik Stouten ◽  
Aimé Heene ◽  
Xavier Gellynck ◽  
Hans Polet

2020 ◽  
Vol 12 (24) ◽  
pp. 10623
Author(s):  
Edoardo Marcucci ◽  
Valerio Gatta ◽  
Michela Le Pira ◽  
Lisa Hansson ◽  
Svein Bråthen

Poor logistics efficiency, due to low load factors caused by high demand fragmentation, will have relevant negative consequences for cities in terms of pollution, congestion and overall city liveability. Policy-makers should equip themselves with appropriate tools to perform reliable, comprehensive and timely analyses of urban logistics scenarios, also considering upcoming (i) technological changes, (ii) business model evolutions and (iii) spatial-temporal changes these innovations will produce. This paper discusses the Digital Twin (DT) concept, illustrating the role it might play and clarifying how to properly conceive it with respect to urban freight transport policy-making and planning. The main message is that without a sound theory and knowledge with respect to the relationships linking contextual reality and choice/behaviour, it is not possible to make sense of what happens in the real world. Therefore, the joint use of behavioural and simulation models should characterise a DT within a Living Lab approach so to stimulate effective, well-informed and participated planning processes, but also to forecast both behaviour and reactions to structural changes and policy measures implementations.


Author(s):  
Mark Birkin ◽  
Rob Procter ◽  
Rob Allan ◽  
Sean Bechhofer ◽  
Iain Buchan ◽  
...  

Applications of simulation modelling in social science domains are varied and increasingly widespread. The effective deployment of simulation models depends on access to diverse datasets, the use of analysis capabilities, the ability to visualize model outcomes and to capture, share and re-use simulations as evidence in research and policy-making. We describe three applications of e-social science that promote social simulation modelling, data management and visualization. An example is outlined in which the three components are brought together in a transport planning context. We discuss opportunities and benefits for the combination of these and other components into an e-infrastructure for social simulation and review recent progress towards the establishment of such an infrastructure.


2018 ◽  
Author(s):  
ELENA GISSI ◽  
Portman Michelle ◽  
Anna-Katharina Hornidge

This viewpoint emphasizes gendered perspectives and reflects on gender roles for sustainability-focused governance. It argues that when considering gender in this context, not only equity, or power-plays between genders are at stake; in addition, for effective ocean governance, an irreducible contribution of female voices is necessary. Some key contributions of women in the field of ocean governance-related research are described as examples. If women, for instance, are not included in fisheries management, we miss the complete picture of social-ecological linkages of marine ecosystems. Overall, women are often regarded as major actors driving sustainable development because of their inclusiveness and collaborative roles. Similarly, women have advocated for the common good in marine conservation, raising important (and often neglected) concerns. In maritime industries, women enlarge the talent pool for innovation and smart growth. Besides the manifold possibilities for promoting the involvement of women in ocean governance and policy-making, this viewpoint highlights how gendered biases still influence our interactions with the ocean. It is necessary to reduce the structural, and systemically-embedded hurdles that continue to lead to gendered decision-taking with regard to the ocean.


1980 ◽  
Vol 13 (1) ◽  
pp. 12-15
Author(s):  
E. J. Lomas

The Department of Energy uses a system for forecasting energy supply and demand as an aid to policy making. The system consists of several sub-models ranging in complexity from simple trend equation models to detailed simulation models of the electricity, coal and gas industries. Their integrated operation provides an overall energy forecast based upon the optimum use of national resources, while their individual operation can look at particular areas of detail.


2020 ◽  
Vol 77 (3) ◽  
pp. 870-877 ◽  
Author(s):  
Jonathan A Hare

Abstract After 20+ years as a research scientist, I recently made a career change to a scientific administrator in NOAA Fisheries. Part of the NOAA Fisheries mission is to provide scientific advice for fisheries using ecosystem based approaches to management. Where I used to see fisheries science as a relatively straightforward discipline, I now recognize fisheries as a complex socio-ecological system that spans natural and social sciences. With this recognition has come an appreciation for the concept of wicked problems and for the incremental approach to policy-making. Here I describe my perspectives before and after this recognition and present 10 lessons for myself as a guide to providing science in support of fisheries management.


2006 ◽  
Vol 63 (12) ◽  
pp. 2722-2733 ◽  
Author(s):  
Carrie A Holt ◽  
Randall M Peterman

In sockeye salmon (Oncorhynchus nerka) fisheries, management targets are rarely achieved exactly, thereby creating uncertainties about outcomes from implementing fishing regulations. Although this type of uncertainty may be large, it is seldom incorporated into simulation models that evaluate management options. One objective of this study was to quantify the deviations that occur between realized and target mortality rates (i.e., the target fraction of adult recruits that die each year during return migration, mostly due to harvesting) in fisheries for sockeye salmon from the Fraser River, British Columbia. We found that for some sockeye stocks, realized mortality rates were higher than targets when recruitment was low (resulting in conservation concerns) and lower than targets when recruitment was high (resulting in foregone catch). Scientists and managers can at least partially account for effects of such deviations between realized and target mortality rates (outcome uncertainties) by choosing target harvest rules that reflect typical patterns in those deviations. We derived a method to permit modelers to incorporate those patterns into analyses of management options.


2012 ◽  
Vol 6 (2) ◽  
pp. 125-136 ◽  
Author(s):  
Jörg E. Franke ◽  
◽  
Tobias Maier ◽  
Franziska Schäfer ◽  
Michael F. Zaeh ◽  
...  

Thermally induced deviations are one of the most important issues for modern machine tools’ accuracy. Therefore, the numerical determination of the thermal machine behavior is becoming an essential part of the development process. The thermal models are highly dependent on the applied loads and boundary conditions. The experimental determination of the thermal machine tool behavior is therefore a critical point. Consequently, this paper presents an experimental evaluation of the thermal behavior of machine tools for model updating. In order to identify the thermal machine properties, temperature distributions as well as thermal displacements were detected. The experiments addressed the thermal influence of environmental parameters, the heat generation of main and feed drives and the cutting process. The tests were carried out on two different machine types, a lathe and a milling machine. Specific machining tasks were developed for each analysis to assure realistic load cases. The temperature and displacement measurements presented in this paper provide a strong parameter base for future thermal simulation models.


2020 ◽  
pp. 095207672093632
Author(s):  
John Connolly ◽  
Arno van der Zwet ◽  
Christopher Huggins ◽  
Craig McAngus

Brexit leads to uncertainties about how policies will be ‘rescaled’ from the European Union back to the United Kingdom and its devolved governments. Interviews with key Scottish Government officials show how the UK’s withdrawal from the Common Fisheries Policy presents mixed challenges for the Scottish policy system to absorb policy change at analytical, administrative, political, and communicative levels. Our analysis finds that absorbable areas concern fisheries management, operations, and analysis. Yet there are capacity areas that will require greater investment at political, communicative, and relational levels. This article makes an important contribution to research on the multi-level governance capacities for accommodating Brexit in UK policy-making. In doing so, our contribution applies the governance capacities literature to a new field of scholarship in relation to Brexit studies.


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