COMMENTS BY Martin D. Fink

Fink, Martin

doi:10.1111/j.1559-3584.1997.tb03237.x

Cited by 11 publications

(13 citation statements)

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“…In a Bayesian context, the parameter p ij is treated as a random variable, and inherently captures any uncertainty around its value. A similar formulation was used by (Farine & Strandburg-Peshkin, 2015) to estimate uncertainty over edge weights using a beta conjugate prior over the p ij parameters (as detailed in Fink, 1997).…”

Section: Edge Weight Model: Binary Datamentioning

confidence: 99%

BISoN: A Bayesian framework for inference of social networks

Hart

Weiss²,

Franks

et al. 2023

Methods Ecol Evol

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Animal social networks are often constructed from point estimates of edge weights. In many contexts, edge weights are inferred from observational data, and the uncertainty around estimates can be affected by various factors. Though this has been acknowledged in previous work, methods that explicitly quantify uncertainty in edge weights have not yet been widely adopted and remain undeveloped for many common types of data. Furthermore, existing methods are unable to cope with some of the complexities often found in observational data, and do not propagate uncertainty in edge weights to subsequent statistical analyses. We introduce a unified Bayesian framework for modelling social networks based on observational data. This framework, which we call BISoN, can accommodate many common types of observational social data, can capture confounds and model effects at the level of observations and is fully compatible with popular methods used in social network analysis. We show how the framework can be applied to common types of data and how various types of downstream statistical analyses can be performed, including non‐random association tests and regressions on network properties. Our framework opens up the opportunity to test new types of hypotheses, make full use of observational datasets, and increase the reliability of scientific inferences. We have made both an R package and example R scripts available to enable adoption of the framework.

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Section: Edge Weight Model: Binary Datamentioning

confidence: 99%

BISoN: A Bayesian framework for inference of social networks

Hart

Weiss²,

Franks

et al. 2023

Methods Ecol Evol

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“…Split range control is the most common scheme. It has been in use for more than 75 years, , and it is still commonly implemented in industry . Some other names that have been used for split range control are dual control agent, range extending control, and valve sequencing…”

Section: Design Procedures For Constraint Switching Using Classical A...mentioning

confidence: 99%

“…The main reason is that classical structures can be gradually implemented in the existing “basic” control system using little model information . Some classical advanced control elements (blocks or idioms) used in addition to PID controllers include: , cascade feedforward and ratio decoupling calculation block valve position (input resetting) selector (max and min) split range (input sequencing) These structures have been used since the 1940s. , However, there has been limited academic work, and most implementations are ad hoc.…”

Section: Introductionmentioning

confidence: 99%

Systematic Design of Active Constraint Switching Using Classical Advanced Control Structures

Reyes-Lúa

Skogestad

2019

Ind. Eng. Chem. Res.

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An important task of the supervisory control layer is to maintain optimal operation. To achieve this, we need to change control objectives when constraints become active (or inactive) as a result of disturbances. In most process plants, the supervisory layer uses classical PID-based advanced control structures, but there is no systematic way of designing such structures. Here, we propose a systematic procedure to design the supervisory control layer using single-loop classical advanced control structures, such that the process achieves steady-state optimal operation when the active constraints change. The active constraints can be on the manipulated variable (MV, input) or on the controlled variable (CV, output). In this paper, we consider all three possible cases: CV−CV switching, which involves selectors; CV−MV switching, which does not need any special structure if we pair according to the input saturation pairing rule; and MV−MV switching, which uses split range control or some similar structure. We illustrate our methodology with two case studies.

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“…By being prepared to work with the media immediately, institutions give themselves the chance to have some control over the message and a greater opportunity to correct misinformation. 36 Authors warn that not communicating can make the organisation look either overconfident or out of control. 37 Ritchie points out that crisis communication includes more than just the media, but that the media will be the biggest source of information for others affected by the incident, and thus "organizations need to work with the media to ensure that a consistent and accurate message is transmitted to the various public and stakeholders."…”

Section: Complexity Theorymentioning

confidence: 99%

“…36 Authors warn that not communicating can make the organisation look either overconfident or out of control. 37 Ritchie points out that crisis communication includes more than just the media, but that the media will be the biggest source of information for others affected by the incident, and thus "organizations need to work with the media to ensure that a consistent and accurate message is transmitted to the various public and stakeholders." 38 It is important to remember that, since exact circumstances cannot be anticipated, crisis communication plans should still include a great deal of flexibility.…”

Section: Complexity Theorymentioning

confidence: 99%

Protecting Your Assets: an Evaluation of Museum Emergency Planning Practices in New Zealand Museums

Murray¹

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<p>Museums around the world are often affected by major catastrophes, and yet planning for these disasters is an often neglected aspect of museum practice. New Zealand is not immune from these events, as can be seen in the recent series of serious earthquakes in Christchurch in 2010 and 2011. This dissertation considers how prepared the New Zealand museum sector is to handle unexpected events that negatively affect its buildings, staff, operations and treasured collections. The central research question was: What is the overall state of emergency planning in the New Zealand museum sector? There was a significant gap in the literature, especially in the local context, as there has been only one other comparable study conducted in Britain, and nothing locally. This dissertation makes a valuable contribution to the field of museum studies by drawing on theory from relevant areas such as crises management literature and by conducting original empirical research on a topic which has received little attention hitherto. The research employed a number of methods, including a review of background secondary sources, a survey and interviews. After contextualising the study with a number of local examples, Ian online survey was then developed an which enabled precise understanding of the nature of current museum practices and policies around emergency planning. Following this I conducted several interviews with museum professionals from a variety of institutional backgrounds which explored their thoughts and feelings behind the existing practices within the industry. The findings of the research were significant and somewhat alarming: almost 40% of the museum and galleries in New Zealand do not have any emergency plan at all, and only 11% have what they considered ‘complete’ plans. The research revealed a clear picture of the current width and depth of planning, as well as practices around updating the plans and training related to them. Within the industry there is awareness that planning for emergencies is important, but museum staff typically lack the knowledge and guidance needed to conduct effective emergency planning. As a result of the analysis, several practical suggestions are presented aimed at improving emergency planning practices in New Zealand museums. However this study has implications for museum studies and for current museum practice everywhere, as many of the recommendations for resolving the current obstacles and problems are applicable anywhere in the world, suggesting that New Zealand museums could become leaders in this important area.</p>

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COMMENTS BY Martin D. Fink

Cited by 11 publications

References 0 publications

BISoN: A Bayesian framework for inference of social networks

BISoN: A Bayesian framework for inference of social networks

Systematic Design of Active Constraint Switching Using Classical Advanced Control Structures

Protecting Your Assets: an Evaluation of Museum Emergency Planning Practices in New Zealand Museums

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