Crime linkage practice in New Zealand

2021 ◽  
Vol 7 (1) ◽  
pp. 63-76
Author(s):  
Matt Tonkin ◽  
Martin Joseph Weeks

Purpose The purpose of this paper is to understand (i) how crime linkage is currently performed with residential burglaries in New Zealand, (ii) the factors that promote/hinder accurate crime linkage and (iii)whether computerised decision-support tools might assist crime linkage practice. Design/methodology/approach A total of 39 New Zealand Police staff completed a questionnaire/interview/focus group relating to the process, challenges, products and uses of crime linkage with residential burglary in New Zealand. These data (alongside four redacted crime linkage reports) were subjected to thematic analysis. Findings The data clearly indicated wide variation in crime linkage process, methods and products (Theme 1). Furthermore, a number of factors were identified that impacted on crime linkage practice (Theme 2). Research limitations/implications Future research should develop computerised crime linkage decision-support tools and evaluate their ability to enhance crime linkage practice. Also, researchers should explore the use of crime linkage in court proceedings. Practical implications To overcome the barriers identified in the current study, greater training in and understanding of crime linkage is needed. Moreover, efforts to enhance the quality of crime data recorded by the police will only serve to enhance crime linkage practice. Social implications By enhancing crime linkage practice, opportunities to reduce crime, protect the public and deliver justice for victims will be maximised. Originality/value The practice of crime linkage is under-researched, which makes it difficult to determine if/how existing empirical research can be used to support ongoing police investigations. The current project fills that gap by providing a national overview of crime linkage practice in New Zealand, a country where crime linkage is regularly conducted by the police, but no published linkage research exists.

2021 ◽  
Vol 167 ◽  
pp. 112313
Author(s):  
Zhaoyang Yang ◽  
Zhi Chen ◽  
Kenneth Lee ◽  
Edward Owens ◽  
Michel C. Boufadel ◽  
...  

2021 ◽  
Vol 13 (10) ◽  
pp. 5744
Author(s):  
Innocent K. Tumwebaze ◽  
Joan B. Rose ◽  
Nynke Hofstra ◽  
Matthew E. Verbyla ◽  
Daniel A. Okaali ◽  
...  

User-friendly, evidence-based scientific tools to support sanitation decisions are still limited in the water, sanitation and hygiene (WASH) sector. This commentary provides lessons learned from the development of two sanitation decision support tools developed in collaboration with stakeholders in Uganda. We engaged with stakeholders in a variety of ways to effectively obtain their input in the development of the decision support tools. Key lessons learned included: tailoring tools to stakeholder decision-making needs; simplifying the tools as much as possible for ease of application and use; creating an enabling environment that allows active stakeholder participation; having a dedicated and responsive team to plan and execute stakeholder engagement activities; involving stakeholders early in the process; having funding sources that are flexible and long-term; and including resources for the acquisition of local data. This reflection provides benchmarks for future research and the development of tools that utilize scientific data and emphasizes the importance of engaging with stakeholders in the development process.


2018 ◽  
Vol 71 ◽  
pp. 360-361
Author(s):  
Rob Beresford

This medal is awarded by the New Zealand Plant Protection Society to honour those who have made exceptional contributions to plantprotection in New Zealand in the widest sense. The medal is awarded for outstanding services to plant protection, whether through research,education, implementation or leadership.  In 2016, the New Zealand Plant Protection Medal was awarded to Dr Rob Beresford who is one of New Zealand’s most experienced and versatile plant pathologists. Rob started his career in science with an MSc Hons, 1st class, in Auckland in 1978 and was appointed to DSIR Plant Diseases Division at Lincoln in 1979. He was awarded a National Research Advisory Council Postgraduate Research Fellowship to undertake PhD studies at Long Ashton Research Station in the UK from1982 to 1985, returning to Lincoln in 1986. Those studies kicked off a long career in epidemiology and today Rob is New Zealand’s pre-eminent plant disease epidemiologist. For 30 years, Rob has been New Zealand’s strongest advocate for the use of weather-based disease prediction for developing practicaldisease control strategies, particularly to reduce the economic, environmental and market residue impacts of fungicide use. By understanding and modelling relationships between pathogen biology and ecology and weather, Rob has translated complex correlations between biological and physical factorsinto simple practical tools for growers to use for disease control. To date, these have included decision support tools for apple scab, downy mildew in onions, botrytis in grapes and more recently Psa in kiwifruit. He has also developed prediction models for climatic risk of invasive pathogens (potato wart disease and myrtle rust) and for the impacts of climate change on crop diseases.  Recognising the importance of climate and weather in affecting plant diseases, Rob has, for many years, championed a network of weather stations in the key horticultural districts throughout New Zealand to generate data for the decision-support tools. It has been a struggle to keep the network running against shortages of funding and the frequent need to re-assert the value of the network to New Zealand horticulture. Rob has built a team of equally committed colleagues who share this understanding and, through tenacity and persistence, have recently achieved an upgrade of the entire network to internet-based communication systems. It is through his close collaborations over many years with the software company HortPlus that his decision support tools have been delivered to the commercial arena.  Rob was a member of the New Zealand team that argued the case at the World Trade Organisation for the easing of restrictions on New Zealand apples entering Australia. Rob’s superior skills in interpreting climate data, in this case Australian data, in terms of pathogen survival, establishment and spread, and his clarity in presenting the results were instrumental in the success of that case in 2010. In parallel with Rob’s epidemiological strategy to reduce fungicide use is his interest in the threat of pathogens developing resistance to fungicides. Rob leads research to identify resistance threats to fungicides and also provides liaison between grower associations and agrochemical companies to design and implement robust resistance-management strategies. His focus on resistance started in 2005 when he published updated management strategies for all nine of the then available fungicide groups for the New Zealand Plant Protection Society (NZPPS). In 2007, he re-established the New Zealand Committee on Pesticide Resistance (NZCPR) (which had been in abeyance for 10 years) and chaired the committee’s work on fungicides, insecticides and herbicides from 2007 to 2012. He stepped aside to become NZCPR Science Advisor in 2012 so he could focus on resistance research. Following devastating disease outbreaks of apple scab (Venturia ineaqualis) in the pipfruit industry in 2009, Rob initiated a research programme with Pipfruit New Zealand that showed the cause of the outbreaks to be resistance to two groups of fungicides in use at the time. He has recently coordinated resistance strategy updates for botrytis affecting the wine industry, for summer fruit diseases and is currently leading a programme to monitor resistance of grape powdery mildew to key groups of fungicides. Rob was awarded the 2014 Plant & Food Research Chairman’s Award for his work on fungicide resistance. Rob is an effective communicator at all levels from heavy science to grower forums and is always willing to share his time, skills and knowledge. He has been involved with undergraduate lecturing for many years and has successfully supervised several PhDs. NZPP Medal recipients for the previous five years:2015: Gary Barker2014: -2013: Andrew Hodson2012: Margaret Dick2011: Jim Walker


2015 ◽  
Vol 77 ◽  
pp. 19-22
Author(s):  
P. Frater ◽  
S. Howarth ◽  
G.J. Mcewen

Decision Support Tools (DSTs) and models are becoming increasingly important to make informed decisions. The aim of this review was to understand how the scientific assumptions behind related pasture-based DSTs used in New Zealand interrelate. Using modelled feed intake of grazing sheep as a case study, we reviewed the metabolisable energy (ME) assumptions of relevant New Zealand models. Although the DSTs were largely dependent on a common model, there were some discrepancies between them. We raise two concerns: 1. In New Zealand, pasture-based livestock models to predict ME intake are highly dependent on equations developed in Australia, not validated in New Zealand. 2. The minor discrepancies between models make collaboration difficult - this is particularly pertinent to farmer-targeted DSTs. Closer collaboration between DST companies and research institutions is required to agree on consistent, robust equations aligned with the latest scientific knowledge.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Movin Sequeira ◽  
Per Hilletofth ◽  
Anders Adlemo

Purpose The existing literature expresses a strong need to develop tools that support the manufacturing reshoring decision-making process. This paper aims to examine the suitability of analytical hierarchy process (AHP)-based tools for initial screening of manufacturing reshoring decisions. Design/methodology/approach Two AHP-based tools for the initial screening of manufacturing reshoring decisions are developed. The first tool is based on traditional AHP, while the second is based on fuzzy-AHP. Six high-level and holistic reshoring criteria based on competitive priorities were identified through a literature review. Next, a panel of experts from a Swedish manufacturing company was involved in the overall comparison of the criteria. Based on this comparison, priority weights of the criteria were obtained through a pairwise analysis. Subsequently, the priority weights were used in a weighted-sum manner to evaluate 20 reshoring scenarios. Afterwards, the outputs from the traditional AHP and fuzzy-AHP tools were compared to the opinions of the experts. Finally, a sensitivity analysis was performed to evaluate the stability of the developed decision support tools. Findings The research demonstrates that AHP-based support tools are suitable for the initial screening of manufacturing reshoring decisions. With regard to the presented set of criteria and reshoring scenarios, both traditional AHP and fuzzy-AHP are shown to be consistent with the experts' decisions. Moreover, fuzzy-AHP is shown to be marginally more reliable than traditional AHP. According to the sensitivity analysis, the order of importance of the six criteria is stable for high values of weights of cost and quality criteria. Research limitations/implications The limitation of the developed AHP-based tools is that they currently only include a limited number of high-level decision criteria. Therefore, future research should focus on adding low-level criteria to the tools using a multi-level architecture. The current research contributes to the body of literature on the manufacturing reshoring decision-making process by addressing decision-making issues in general and by demonstrating the suitability of two decision support tools applied to the manufacturing reshoring field in particular. Practical implications This research provides practitioners with two decision support tools for the initial screening of manufacturing reshoring decisions, which will help managers optimize their time and resources on the most promising reshoring alternatives. Given the complex nature of reshoring decisions, the results from the fuzzy-AHP are shown to be slightly closer to those of the experts than traditional AHP for initial screening of manufacturing relocation decisions. Originality/value This paper describes two decision support tools that can be applied for the initial screening of manufacturing reshoring decisions while considering six high-level and holistic criteria. Both support tools are applied to evaluate 20 identical manufacturing reshoring scenarios, allowing a comparison of their output. The sensitivity analysis demonstrates the relative importance of the reshoring criteria.


CJEM ◽  
2016 ◽  
Vol 18 (S1) ◽  
pp. S119-S119
Author(s):  
K.E. Smith ◽  
K. Lobay ◽  
M. Bullard

Introduction: The Prehospital Canadian Triage and Acuity Scale (Pre-CTAS) is based upon, and is consistent with, the CTAS (Canadian Triage and Acuity Scale). Paramedic-assigned Pre-CTAS scores using memory compared to Triage Nurse CTAS scores have previously demonstrated moderate inter-rater reliability. This is the first study to measure the effect of two different point-of-care decision support tools on the inter-rater reliability of paramedic assigned Pre-CTAS and Triage nurse CTAS scores. Methods: Paramedics were randomized to Pre-CTAS booklet or CTAS smartphone app during the one-year study period. Pre-CTAS scores assigned on arrival at hospital (AH) were compared with Triage Nurse CTAS scores and analyzed using Cohen’s Kappa. Paramedics were then surveyed to assess the perceived utility and satisfaction with the decision support tools. Results: For 1663 patient transports, the weighted kappa score for Paramedic AH vs. Triage Nurse CTAS was fair at 0.38 (95% CI 0.35-0.41). For patients whose initial on-scene and AH Pre-CTAS scores did not change (n= 1405, 85%), Paramedic-Triage Nurse agreement was moderate at 0.43 (95% CI 0.39-0.46). The survey revealed that tools, when employed, helped assign scores; however accessing the additional resource was cumbersome or time consuming, and scores were occasionally assigned post clinical encounter. Conclusion: Point-of-care external decision support tools did not affect Pre-CTAS and ED CTAS agreement. These tools may add complexity or be perceived to add time to documentation within the delivery of clinical care if not implemented with adequate support. Future research needs to evaluate the impact of clinical decision support embedded within an electronic patient care record consistent with many ED information systems.


Author(s):  
Nicola McDonald ◽  
Levente Timar ◽  
Garry McDonald ◽  
Catherine Murray

In the context of infrastructure and natural hazard planning, a new agenda for applied research is emerging which, focused on resilience, integrates government, hazard science, engineering and economics. This paper sets out the context and key tenets guiding the direction of this topic of enquiry, including the New Zealand legislative and policy context under which infrastructure decisions are made, core principles implied by the resilience objective, current norms and challenges in the practice of infrastructure planning, and key criteria for decision-support tools. While decision-making processes strongly informed by cost-benefit analysis (CBA) continue to be common in the New Zealand policy process, this paper demonstrates that there are certain distinguishing features of infrastructure networks that make it challenging to effectively and validly apply standard CBA approaches, particularly when resilience values are at stake. To help address this challenge, a new conceptual framework is presented to assist in the critical review and selection of decision-making tools to support infrastructure planning. This framework provides a synthesis of the ways through which contextual uncertainties influence the relative advantages and appropriateness of different decision support tools. Ultimately, we seek to promote a diverse but also nuanced approach to analysis supporting infrastructure planning under seismic and other natural hazard risk.


2018 ◽  
Vol 13 (1) ◽  
pp. 2-26 ◽  
Author(s):  
Syed Asif Raza ◽  
Mohd. Nishat Faisal

Purpose This paper aims to develop efficient decision support tools for a firm’s environment protection by using greening effort while yet improving profitability by utilizing pricing and inventory decisions with discount consideration. Design/methodology/approach This study proposed a mathematical model for price- and greening effort-dependent demand rate with discount considerations. Later, the mathematical model is extended to the situation in which the demand rate is also dependent on the stock level, in addition to the price and greening effort. Efficient solution methodologies are developed for finding the optimal solution to the proposed models. Findings Simple yet elegant models are proposed to mimic real-life applications. Structural properties of the models are explored to outline efficient algorithms with quantity discounts. Research limitations/implications The paper considers monopoly and assumes deterministic demand. Only a more commonly observed all-units discount scheme is studied. Practical implications The models provide decision support tools for firms in pursuit of joint profit maximization and environment consciousness goals. Social implications The study develops environment-friendly approaches for inventory management and improving the profitability alike. Originality/value This study is among the first to consider environmental protection with an investment in greening effort along with inventory management and pricing decision. The study also explored the effect of all-unit quantity discounts.


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