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In this article, we argue that the entourage of ministerial advisers available to prime ministers and other ministers is an institutional power resource that can serve as a useful indicator to measure the changing nature of the political executive. Two novel contributions are made utilising four new datasets on ministerial advisers coupled with a comparative analysis of 21 governments in Australia, Britain, Canada and New Zealand, in varying dates between 1997 and 2020. First, by using ministerial advisers as a proxy indicator, we chart how the offices of executive politicians can either expand, remain stable or contract. As a corrective to the general long-term narrative that ministers' offices continually expand, our evidence shows this expansion has in some cases been interrupted and more generally manifests in different patterns from one government to the next. Second, we interrogate these patterns against the background of four typical assumptions from the party family, government tenure, parliamentary control and leadership stability literature. The new datasets, typology and analysis provide fresh comparative insights to advance our understanding about the evolving nature of the political executive in the four classic Westminster family countries. [ABSTRACT FROM AUTHOR]

Policy design approaches currently pay insufficient attention to feedback that occurs during the design process. Addressing this endogenous policy design feedback gap is pressing as policymakers can adopt 'low-fidelity' design approaches featuring compressed and iterative feedback-rich design cycles. We argue that within-design feedback can be oriented to the components of policy designs (instruments and objectives) and serve to reinforce or undermine them during the design process. We develop four types of low-fidelity design contingent upon the quality of feedback available to designers and their ability to integrate it into policy design processes: confident iteration and stress testing, advocacy and hacking, tinkering and shots in the dark, or coping. We illustrate the utility of the approach and variation in the types, use, and impacts of within-design feedback and low-fidelity policy design through an examination of the UK's Universal Credit policy. [ABSTRACT FROM AUTHOR]

This article provides fresh empirical insights into the evolving nature of policy analytical capacity in Australia, Britain, Canada, and New Zealand. We argue for a focus on the formal policy staff employed in government to provide greater conceptual clarity and empirical purchase regarding specific types of policy analytical resources linked to capacity. Using ten years of administrative data we chart the evolution of the size, composition, and distribution of formal public service policy staff in these cases. We find, contrary to expectations, that formal policy staff have increased in all four cases. Comparative analysis reveals not only uneven staffing capacity across government organizations, but also important developments in the seniority and distribution of staff in “analysts” and “managers” classifications. The findings are used to generate country profiles that demonstrate more nuanced patterns of policy analytical capacity change over time. The findings also raise important questions about shortcomings in how governments track and classify their policy staff, and their ability to effectively manage policy analytical resources in policy making. [ABSTRACT FROM AUTHOR]

This exploratory article examines the contemporary state of formal government policy staff in Australia, Britain, Canada, and New Zealand, contributing to the ongoing research seeking to understand the policy capacity of governments. It analyzes the size, composition, and distribution of the countries' formal policy staff across government units. Comparative analysis reveals significant differences in the basic organizing approaches used to categorize policy staff as well as important differences in their numbers, composition, and distribution across government units. While uneven distributions characterize all four cases, there is significant variance in where staff work, their seniority, and functional classifications as "analysts" or "managers". The analysis provides fresh insights into the nature and availability of policy analytical capacity within these governments. It also underscores major gaps in how governments collect and make available basic data on their policy staff, which raises questions about their ability to effectively manage and deploy those staff. [ABSTRACT FROM AUTHOR]

Using a decade of administrative data from the Government of Canada, we provide fresh analysis of the composition and distribution of staff most formally associated with policy work, the Economics and Social Science (EC) classification. Comparative analysis across unit levels including "ministerial departments" and central agencies, as well as non‐standard organizations support but clarify the nature of the uneven distribution of policy analytical capacity across government. We demonstrate a dramatic increase in not only the overall complement of EC staff over time, particularly since 2017, but also significant growth at senior levels while junior EC staff have remained stable or declined. The findings also point to new dynamics related to the pace, orientation, and distribution of policy analytical capacity as governments gain, lose, and exercise that capacity often in the face of tough choices about how, where, and when to deploy policy resources. [ABSTRACT FROM AUTHOR]

Design thinking has become a popular approach for governments around the world seeking to address complex governance challenges. It offers novel techniques and speaks to broader questions of who governs, how they govern, and the limits of rational instrumentalism in policy making. Juxtaposing design thinking with an older tradition of policy design, this article offers the first critical analysis of the application of design thinking to policy making. It argues that design thinking does not sufficiently account for the political and organizational contexts of policy work. Design thinking also errs in universally privileging one particular policy style over others, and fails to account for the reality of policy mixes. Despite these deficiencies, it is argued that design thinking can inform and enrich governance by helping policy designers produce more adaptable designs, better appreciate the behavioral dynamics of public sector design, and leverage networked approaches to social problem solving. [ABSTRACT FROM AUTHOR]

The growing body of literature on digital governance, and policy advisory systems, often neglects the perspective of elected decision makers. What types of policy advice do ministers need in the digital governance era? Is digitization of government and policymaking reshaping supply and demand dynamics, the content of policy advice, or how advice is used within the policy process? This article borrows existing theoretical frames on digital governance to examine these and other questions from the perspective of ministers. The digital governance era will undoubtedly introduce novel disruptions and dilemmas, but it will also intensify longstanding tensions inherent in advisory work linked to questions of influence, capacity, and how well advisory systems adapt to serve ministers. We use information processing dynamics, policy entrepreneurship, and control and coordination to ground analysis of ministers' advisory demand in the digital governance era. We highlight unique considerations that apply to ministers as well as reflection on their place within the broader context of advisory work. We employ vignettes from the perspective of ministers throughout the article as a useful way to personalize the digital era disruptions and dilemmas particular to ministers. [ABSTRACT FROM AUTHOR]

This article explores the opportunities, challenges and expectations that the digital context of design and new digital era policy instruments, such as open data, big data, robotics and crowdsourcing, present to policy designers operating in today's governments. Adopting an instruments perspective, the article identifies four characteristics of digital era policy design before detailing three issues that must be addressed to ascertain the promise and pitfalls of digital era policy design. First, we argue that scholars and practitioners alike must investigate how traditional constraints on the ideal of rational, evidence-driven policy design-long acknowledged in the 'analogue design' literature-will fade or be exacerbated in the digital age. The article next confronts the reality that new digital designs and instruments will rarely emerge in a policy vacuum, but rather will be layered onto existing policy designs and complex policy mixes with sticky legacies that will be more or less amenable to digital design approaches. Finally, the article argues that while scholars and practitioners have been quick to presume that the digital age will foster a more collaborative model of state-to-non-state cooperation, digital era policy design may ultimately marginalize or eliminate citizens altogether from the design process, raising important questions about the as of yet little understood democratic implications of digital era policy design. [ABSTRACT FROM AUTHOR]

Recent case studies and large-Nsurvey evidence has confirmed long-suspected shortages of public sector “policy capacity”. Studies have found that government policy workers in various jurisdictions differ considerably with respect to types of policy work they undertake, and have identified uneven capacity for policy workers to access and apply technical and scientific knowledge to public issues. This suggests considerable difficulties for government’s ability to meet contemporary policy and governance challenges. Despite growing attention to these matters, studies have not examined the “elite” policy workers many governments recruit to address these capacity shortages. Using an established survey instrument, this study of two Canadian recruitment programs provides the first comparative analysis of elite policy recruits, as policy workers. Three research questions anchor the study: (1) What is the profile of these actors? (2) What types of policy work do “elite” policy analysts actually engage in? (3) How does their policy work compare by recruitment program? The article provides fresh comparative data on the nature of elite policy work and policy analytical capacity, but, more importantly, a crucial baseline for future comparative study of how elite recruitment may facilitate “supply-side” capacity gains expected from recruitment programs. [ABSTRACT FROM AUTHOR]

With the 30th anniversary of the policy advisory systems concept on the horizon, it is an appropriate time to reflect further on the concept's utility, particularly in helping to understand the dynamics of system change and their implications for policy-making. This article provides diachronic analysis of the policy advisory systems in the classic Anglo-Saxon 'Westminster' family (Canada, UK, Australia, New Zealand). Analysis focuses on five advisory units: the public service and central agencies, partisan ministerial advisers, external consultants, commissions of inquiry, and select special advisory bodies. The principle research aim is to compare these cases to shed light on advisory system dynamics through identification and analysis of shared and country-specific patterns of PAS change. We argue that the leading dynamics of politicization and externalization often used to characterize how advisory systems change masks idiosyncratic country patterns. We argue that differences in the tempo, intensity, and sequencing of advisory unit (de)institutionalization are clear in these cases and that attention to these dimensions of advisory system change add precision to understanding the organization, operation, and evolution of these systems. [ABSTRACT FROM AUTHOR]

'Policy advisory systems' have been central to moving beyond individual actor considerations to assessments of the interactive effects of multiple interlocking sets of suppliers, in specific jurisdictions, that provide policy advice to policymakers. This article argues, while useful, the advisory system concept should be revised given that previous approaches animated by the location of supply and government control over it have been weakened. We argue for a 'second wave' of advisory system studies that: (1) reorients the unit of analysis from the public service to advisory systems themselves, (2) better contextualizes advisory system operation and dynamics based on the subsystems within which they operate, and (3) focuses on questions of why advisory system components combine in particular policy instances and with what effect. Using access and compatibility, we posit a typology of policy advisory networks and develop four archetypes of policy ideational compatibility. [ABSTRACT FROM AUTHOR]

A growing corpus of empirical findings suggests that appointed partisan advisers are established and influential policy actors within the executive. Their policy work has long attracted concerted attention with respect to issues of accountability and politicization. Less attention however has been cast to concept and theory building, to link empirical findings with extant policy theory. This article presents careful analysis of the leading conceptual approaches to the study of these policy workers. It offers a critique of these approaches but suggests they share common logic and identify common attributes that can usefully be synthesized into a new framework. A framework is then advanced through the elaboration of four key concepts: buffering, bridging, moving, and shaping to focus on the substantive and procedural nature of partisan advisers' policy work. Combined with additional criteria, these are used to develop two subsidiary frameworks focusing on partisan advisers' policy advisory and policy process participation. The study of these actors is argued to not only benefit from improved linkages with policy theory, but that policy theory itself may be improved through focused study of these unique, politically appointed, policy workers. [ABSTRACT FROM AUTHOR]

This article examines the infrastructure policy sector's capacity to respond to climate change adaptation through an analysis of the Canadian case. It includes a three-level examination of capacity: at the macro level through a virtual policy network analysis; at the meso level through examination of the lead department's evolving mandate and resources; and at the micro level through analysis of survey data related to departmental workers policy tasks and attitudes. Four hypotheses across these three levels are set out and tested at the national and subnational levels. Together, the findings suggest that the policy capacity in the Canadian infrastructure sector will be unable to meet the demands placed upon the sector to respond to the increasing challenges of climate change adaptation. [ABSTRACT FROM AUTHOR]

This special issue contributes to extant empirical scholarship assessing governmental capacity to meet significant policy challenges, in this case those related to climate change adaptation. The study includes detailed examination of five policy sectors-finance, infrastructure, energy, forestry, and transportation-in two countries, Canada and the United States-in order to determine what kinds of governance arrangements and analytical capacities exist in this area, how they are changing (if at all), and how they interrelate with the status and evolution of climate change outcomes in each sector. The articles provide a comprehensive sampling of policy network structure and behavior, organizational mandates and resources, and actual job duties and training of policy actors across these sectors at both the federal and subnational level of government. [ABSTRACT FROM AUTHOR]

Many terrestrial and most marine herbivores have generalist diets, yet the role that evolutionary history plays in their foraging behaviors is poorly documented. On tropical hard-bottom reefs, generalist fishes and sea urchins readily consume seaweeds that produce lipophilic secondary metabolites. In contrast, herbivores on temperate reefs less commonly encounter seaweeds with analogous metabolites. This biogeographic pattern suggests that tropical herbivores should evolve greater feeding resistance to lipophilic defenses relative to temperate herbivores, but tests of this biogeographic pattern arc rare. We offered ipophilic extracts from nine subtropical seaweeds at two concentrations to sea urchins (four subtropical and three cold-temperate populations) and quantified urchin feeding resistance. Patterns of feeding resistance toward lipophilic defenses were more similar within genera than across genera of urchins, indicating a substantial role for phylogenetic history in the feeding ecology of these generalist herbivores. The biogeographic origin of urchins also influenced feeding resistance, as subtropical species displayed greater feeding resistance than did temperate species. Similarly, a subtropical population of Arbacia punclulata had greater feeding resistance for Dictyota and Stypopodiuns extracts relative to temperate A. punctulata. We conclude that evolutionary history plays a more central role in the foraging ecology of generalist herbivores than is currently appreciated. [ABSTRACT FROM AUTHOR]

The article discusses the exploration of the use of nodality based information policy tools by electoral agencies in Canada. It mentions that those tools aimed at general and targeted communication political campaigns remain the most utilized policy tool as indicated in a review. It notes that those agencies are involved in frequent partnership and collaborative activities with other organizations in their policy community especially during elections.

Several Canadian and international scholars offer commentaries on the implications of the COVID‐19 pandemic for governments and public service institutions, and fruitful directions for public administration research and practice. This first suite of commentaries focuses on the executive branch, variously considering: the challenge for governments to balance demands for accountability and learning while rethinking policy mixes as social solidarity and expert knowledge increasingly get challenged; how the policy‐advisory systems of Australia, Canada, New Zealand, and United Kingdom were structured and performed in response to the COVID‐19 crisis; whether there are better ways to suspend the accountability repertoires of Parliamentary systems than the multiparty agreement struck by the minority Liberal government with several opposition parties; comparing the Canadian government's response to the COVID‐19 pandemic and the Global Financial Crisis and how each has brought the challenge of inequality to the fore; and whether the COVID‐19 pandemic has accelerated or disrupted digital government initiatives, reinforced traditional public administration values or more open government. [ABSTRACT FROM AUTHOR]

Background: Germline DNA mutations that increase the susceptibility of a patient to certain cancers have been identified in various genes, and patients can be screened for mutations in these genes to assess their level of risk for developing cancer. Traditional methods using Sanger sequencing focus on small groups of genes and therefore are unable to screen for numerous genes from several patients simultaneously. The goal of the present study was to validate a 25-gene panel to assess genetic risk for cancer in 8 different tissues using next generation sequencing (NGS) techniques. Methods: Twenty-five genes associated with hereditary cancer syndromes were selected for development of a panel to screen for risk of these cancers using NGS. In an initial technical assessment, NGS results for BRCA1 and BRCA2 were compared with Sanger sequencing in 1864 anonymized DNA samples from patients who had undergone previous clinical testing. Next, the entire gene panel was validated using parallel NGS and Sanger sequencing in 100 anonymized DNA samples. Large rearrangement analysis was validated using NGS, microarray comparative genomic hybridization (CGH), and multiplex ligation-dependent probe amplification analyses (MLPA). Results: NGS identified 15,877 sequence variants, while Sanger sequencing identified 15,878 in the BRCA1 and BRCA2 comparison study of the same regions. Based on these results, the NGS process was refined prior to the validation of the full gene panel. In the validation study, NGS and Sanger sequencing were 100% concordant for the 3,923 collective variants across all genes for an analytical sensitivity of the NGS assay of >99.92% (lower limit of 95% confidence interval). NGS, microarray CGH and MLPA correctly identified all expected positive and negative large rearrangement results for the 25-gene panel. Conclusion: This study provides a thorough validation of the 25-gene NGS panel and indicates that this analysis tool can be used to collect clinically significant information related to risk of developing hereditary cancers. [ABSTRACT FROM AUTHOR]

Background Conventional Sanger sequencing reliably detects the majority of genetic mutations associated with hereditary cancers, such as single-base changes and small insertions or deletions. However, detection of genomic rearrangements, such as large deletions and duplications, requires special technologies. Microarray analysis has been successfully used to detect large rearrangements (LRs) in genetic disorders. Methods We designed and validated a high-density oligonucleotide microarray for the detection of gene-level genomic rearrangements associated with hereditary breast and ovarian cancer (HBOC), Lynch, and polyposis syndromes. The microarray consisted of probes corresponding to the exons and flanking introns of BRCA1 and BRCA2 (≈1,700) and Lynch syndrome/polyposis genes MLH1, MSH2, MSH6, APC, MUTYH, and EPCAM (≈ 2,200). We validated the microarray with 990 samples previously tested for LR status in BRCA1, BRCA2, MLH1, MSH2, MSH6, APC, MUTYH, or EPCAM. Microarray results were 100% concordant with previous results in the validation studies. Subsequently, clinical microarray analysis was performed on samples from patients with a high likelihood of HBOC mutations (13,124), Lynch syndrome mutations (18,498), and polyposis syndrome mutations (2,739) to determine the proportion of Lrs. Results Our results demonstrate that LRs constitute a substantial proportion of genetic mutations found in patients referred for hereditary cancer genetic testing. Conclusion The use of microarray comparative genomic hybridization (CGH) for the detection of LRs is well-suited as an adjunct technology for both single syndrome (by Sanger sequencing analysis)and extended gene panel testing by next generation sequencing analysis. Genetic testing strategies using microarray analysis will help identify additional patients carrying LRs, who are predisposed to various hereditary cancers. [ABSTRACT FROM AUTHOR]

The unfolded protein response (UPR) is a collection of pathways that maintains the protein secretory pathway during the many physiological and pathological conditions that cause stress in the endoplasmic reticulum (ER). The UPR is mediated in part by Ire1, an ER transmembrane kinase and endoribonuclease that is activated when misfolded proteins accumulate in the ER. Ire1's nuclease initiates the cytosolic splicing of the mRNA encoding X-box binding protein (Xbp1), a potent transcription factor that then upregulates genes responsible for restoring ER function. This same nuclease is responsible for the degradation of many other mRNAs that are localized to the ER, through Regulated Ire1 Dependent Decay (RIDD). Here we show that Smt3, a homolog of small ubiquitin-like modifier (sumo), is a non-canonical RIDD target in Drosophila S2 cells. Unlike other RIDD targets, the sumo transcript does not stably associate with the ER membrane, but instead relies on an Xbp1-like stem loop and a second UPR mediator, Perk, for its degradation during stress. [ABSTRACT FROM AUTHOR]

The invasive algae in the Mediterranean Caulerpa taxifolia and Caulerpa racemosa var. cylindracea have gained much interest in the Adriatic Sea due to their fast spread and negative impacts on native seaweed species. Lack of accurate mapping and its overall high costs represent some of the major difficulties for successful detection and subsequent environmental management. Remote sensing techniques couM provide a quicker, more accurate and more cost efficient approach to mapping these invasive species. In order to allow for classification of remotely sensed data, we have collected and analyzed hyperspectral reflectance profiles of both invasive Caulerpa species in the Adriatic and the native Caulerpa cf. laetevirens species from the southeastern Atlantic coast of the United States. We have measured distinctive spectral features for spectroscopically distinguishing between these species, which is particularly interesting in the areas where these native and invasive species coexist. The initial results suggest that it might be possible to distinguish between the species based on their spectral reflectance profile. These results wouM have to be verified with samples taken from more populations in different phenological phases of the seaweed growth and other environmental conditions. [ABSTRACT FROM AUTHOR]

Background: Healthcare providers increasingly use information about pathogenic variants in cancer predisposition genes, including sequence variants and large rearrangements (LRs), in medical management decisions. While sequence variant detection is typically robust, LRs can be difficult to detect and characterize and may be underreported as a cause for hereditary cancer risk. This report describes the outcomes of hereditary cancer genetic testing using a comprehensive strategy that employs next-generation sequencing (NGS) for LR detection, coupled with LR confirmation using repeat hybrid capture NGS, microarray comparative genomic hybridization (microarray-CGH), and/or multiplex ligation-dependent probe amplification (MLPA). Methods: Sequencing and LR analysis were conducted in a consecutive series of 376,159 individuals who received clinical testing with a hereditary pan-cancer gene panel from September 2013 through May 2017. NGS dosage analysis was used to evaluate potential deletions or duplications, with controls in place to exclude pseudogene reads. Samples positive for a putative LR based on NGS were confirmed using a comprehensive approach that included targeted microarray-CGH and/or MLPA analysis, with further examination as needed to ascertain the nature of the LR. Results: A total of 3461 LRs were identified and classified as a deleterious mutation (DM), suspected deleterious mutation (SDM) or variant of uncertain significance. Pathogenic LRs (DM/SDM) accounted for the majority of LRs (67.7%), the largest proportion of which were deletions (86.1%), followed by duplications (11.3%), insertions (1.8%), triplications (0.5%), and inversions (0.3%). Several cases presented illustrate that the laboratory approach employed here can ensure consistent identification and accurate characterization of LRs. In the absence of this comprehensive testing strategy, 9% of LRs identified in this testing population might have been missed, potentially leading to inappropriate medical management in as many as 210 individuals referred for hereditary cancer testing. Conclusions: These data show that copy number analysis using NGS coupled with confirmatory testing reliably detects and characterizes LRs. Further, LRs comprise a substantial proportion (7.2%) of pathogenic variants identified by the test. A robust and accurate LR identification strategy is an essential component of a high-quality genetic testing program, enabling clinicians to optimize patient medical management decisions. [ABSTRACT FROM AUTHOR]