Journal of the Royal Society of New Zealand最新文献

{"title":"Correction","authors":"","doi":"10.1080/03036758.2022.2042899","DOIUrl":"https://doi.org/10.1080/03036758.2022.2042899","url":null,"abstract":"","PeriodicalId":49984,"journal":{"name":"Journal of the Royal Society of New Zealand","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43180910","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Pathogenicity and host range of Pseudocercospora fumosa, a potential biological control agent for moth plant (Araujia hortorum) in New Zealand","authors":"G. Ramírez, M. V. Bianchinotti, F. Anderson","doi":"10.1080/03036758.2023.2190132","DOIUrl":"https://doi.org/10.1080/03036758.2023.2190132","url":null,"abstract":"","PeriodicalId":49984,"journal":{"name":"Journal of the Royal Society of New Zealand","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2023-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47079963","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Understanding New Zealand firm innovation: exploring human resource factors by firm size and strength","authors":"J. Haar, Conor O’Kane","doi":"10.1080/03036758.2023.2180761","DOIUrl":"https://doi.org/10.1080/03036758.2023.2180761","url":null,"abstract":"","PeriodicalId":49984,"journal":{"name":"Journal of the Royal Society of New Zealand","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2023-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46317467","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A better start national science challenge: supporting the future wellbeing of our tamariki E tipu, e rea, mō ngā rā o tō ao: grow tender shoot for the days destined for you","authors":"Sarah E. Maessen, Barry J. Taylor, G. Gillon, H. Moewaka Barnes, R. Firestone, R. Taylor, B. Milne, Sarah Hetrick, T. Cargo, Brigid C McNeill, W. Cutfield","doi":"10.1080/03036758.2023.2173257","DOIUrl":"https://doi.org/10.1080/03036758.2023.2173257","url":null,"abstract":"ABSTRACT The majority of children and young people in Aotearoa New Zealand (NZ) experience good health and wellbeing, but there are key areas where they compare unfavourably to those in other rich countries. However, current measures of wellbeing are critically limited in their suitability to reflect the dynamic, culture-bound, and subjective nature of the concept of ‘wellbeing’. In particular, there is a lack of measurement in primary school-aged children and in ways that incorporate Māori perspectives on wellbeing. A Better Start National Science Challenge work in the areas of Big Data, Healthy Weight, Resilient Teens, and Successful learning demonstrates how research is increasing our understanding of, and our ability to enhance, wellbeing for NZ children. As we look ahead to the future, opportunities to support the wellbeing of NZ young people will be shaped by how we embrace and mitigate against potential harms of new technologies, and our ability to respond to new challenges that arise due to climate change. In order to avoid increasing inequity in who experiences wellbeing in NZ, wellbeing must be monitored in ways that are culturally acceptable, universal, and recognise what makes children flourish.","PeriodicalId":49984,"journal":{"name":"Journal of the Royal Society of New Zealand","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2023-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48960694","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"He Kāinga Oranga: reflections on 25 years of measuring the improved health, wellbeing and sustainability of healthier housing","authors":"P. Howden-Chapman, Julia E. Crane, M. Keall, N. Pierse, M. Baker, Chris Cunningham, K. Amore, Clare Aspinall, Julie Bennett, Sarah Bierre, M. Boulic, R. Chapman, Elinor Chisholm, Cheryl Davies, G. Fougere, Brodie Fraser, Caro Fyfe, Libby Grant, A. Grimes, Caroline Halley, Amber Logan-Riley, Kim Nathan, C. Olin, Jenny Ombler, K. O'Sullivan, Tiria Pehi, G. Penny, Robyn Phipps, Manfred Plagman, E. Randal, Lynn Riggs, B. Robson, Jacinta Ruru, C. Shaw, B. Schrader, Mary Anne Teariki, Lucy Telfar Barnard, Ramona Tiatia, Bridgette Toy-Cronin, Hope Tupara, H. Viggers, Teresa Wall, Marg Wilkie, A. Woodward, Wei Zhang","doi":"10.1080/03036758.2023.2170427","DOIUrl":"https://doi.org/10.1080/03036758.2023.2170427","url":null,"abstract":"","PeriodicalId":49984,"journal":{"name":"Journal of the Royal Society of New Zealand","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2023-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48457647","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Envisioning a sustainable future for space launches: a review of current research and policy","authors":"Tyler F. M. Brown, M. Bannister, L. Revell","doi":"10.1080/03036758.2022.2152467","DOIUrl":"https://doi.org/10.1080/03036758.2022.2152467","url":null,"abstract":"","PeriodicalId":49984,"journal":{"name":"Journal of the Royal Society of New Zealand","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2023-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48423003","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Building sustainable health data capability in Aotearoa New Zealand: opportunities and challenges highlighted through COVID-19","authors":"G. Riva, S. Hendy, K. Ross, A. Sporle","doi":"10.1080/03036758.2022.2141806","DOIUrl":"https://doi.org/10.1080/03036758.2022.2141806","url":null,"abstract":"","PeriodicalId":49984,"journal":{"name":"Journal of the Royal Society of New Zealand","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2023-01-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45112505","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Māori and the Integrated Data Infrastructure: an assessment of the data system and suggestions to realise Māori data aspirations [Te Māori me te Integrated Data Infrastructure: he aromatawai i te pūnaha raraunga me ngā marohitanga e poipoia ai ngā wawata raraunga Māori]","authors":"Lara M. Greaves, Cinnamon Lindsay Latimer, Emerald Muriwai, Charlotte Moore, Eileen Li, Andrew Sporle, Terryann C. Clark, Barry J. Milne","doi":"10.1080/03036758.2022.2154368","DOIUrl":"https://doi.org/10.1080/03036758.2022.2154368","url":null,"abstract":"The Statistics New Zealand Integrated Data Infrastructure (IDI) is a collection of de-identified whole-population administrative datasets. Researchers are increasingly utilising the IDI to answer pressing social and policy research questions. Our work provides an overview of the IDI, associated issues for Māori (the Indigenous peoples of New Zealand), and steps to realise Māori data aspirations. We first introduce the IDI including what it is and how it was developed. We then move to an overview of Māori Data Sovereignty. We consider the main issues with the IDI for Māori including technical issues and problems with ethnic identifiers, deficit-framed work, community involvement, consent, social licence, further data linkage, offshore access, and barriers to access for Māori. We finish with a set of recommendations around how to improve the IDI for Māori, making sure that Māori can get the most out of administrative data for our communities. These include the need to build data researcher capacity and capability for Māori; work with hapori Māori to increase utilisation; change accountability mechanisms, including greater co-governance of data; adequately fund alternatives; or potentially even abolishing the IDI and starting again.","PeriodicalId":49984,"journal":{"name":"Journal of the Royal Society of New Zealand","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135392560","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Artificial Intelligence in New Zealand: applications and innovation","authors":"Bing Xue, Richard Green, Mengjie Zhang","doi":"10.1080/03036758.2023.2170165","DOIUrl":"https://doi.org/10.1080/03036758.2023.2170165","url":null,"abstract":"Artificial Intelligence (AI) is playing an increasingly significant role in various scientific research areas and real-world applications, ranging from AlphaGo design through medical imaging analysis, earthquake prediction to fish species classification, and fruit maturity estimation to online product recommendation. With world-leading researchers and practitioners, Aotearoa New Zealand is playing an important role in the global AI community. There have been significant achievements in AI in recent years. This special issue aims to highlight recent advances in AI research and developments from the New Zealand community in terms of theory and applications of AI. This special issue includes ten high-quality manuscripts (Chiewchan et al. 2023, Bi et al. 2023, Babu et al. 2023, Lim et al. 2023, Wilson et al. 2023, Cranefield et al. 2023, Bartlett et al. 2023, Rodger et al. 2023, Sagar et al. 2023, Wang et al. 2023). They cover a wide range of AI techniques and various real-world application areas of AI. AI techniques involved range from traditional AI areas like image analysis and computer vision, natural language processing and multi-agent systems to more recent techniques such as evolutionary machine learning, deep learning, few-shot learning, and explainable AI. These papers also explore how AI can be applied to our daily life, including the primary industries of NZ like agriculture and aquaculture, the critical areas like environment, health and medical, and wellbeing, as well as the considerations of te ao Māori, privacy, transparency, law, social impact in AI. Agriculture has been significantly impacting the world in various ways and is becoming more critical with the increasingly high food demand caused by the fast population growth. Many traditional methods used by farmers are either too costly in human labour or not sufficiently productive. AI provides great opportunities and potentials for boosting the efficiency and productivity of agriculture in a sustainable and safe way (Talaviya et al. 2020). In this special issue, Chiewchan et al. (2023) develop a multi-agent system for water irrigation in the Canterbury Region of New Zealand, which has the largest proportion of irrigated land (70%) in the country. Water resource consent has been introduced to control water usage, but it can be too expensive and lengthy for farmers with relatively small land to apply. Instead, they can join a community irrigation scheme, but it is hard to accurately estimate how much water they need, since it depends on many factors, such as the type of crop, the size of the farm, any imposed water reduction, and the priority of crops to irrigate. This paper explores a multi-agent system with auction-based negotiation for building an intelligent irrigation management system, to maximise water sharing within a community. Each agent represents a farmer to negotiate with other farmers and make decisions during the buying and selling process. Different auction mechanisms ","PeriodicalId":49984,"journal":{"name":"Journal of the Royal Society of New Zealand","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48062875","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Prevalence and predictors of developmental health difficulties within New Zealand preschool-aged children: a latent profile analysis","authors":"J. Russell, C. Grant, S. Morton, S. Denny, Sarah-Jane Paine (Tūhoe)","doi":"10.1080/03036758.2022.2083188","DOIUrl":"https://doi.org/10.1080/03036758.2022.2083188","url":null,"abstract":"ABSTRACT New Zealand research on inequities in children’s developmental health outcomes is sparse. We aimed to describe the prevalence, clustering, and socio-environmental associations of developmental health in preschool-aged children. A latent profile analysis was performed using data from child participants of Growing Up in New Zealand at age 4.5-years to identify profiles of developmental health status. Seven measures were included in the latent profile analysis, representing four domains of developmental health: ‘physical’, ‘motor’, ‘socioemotional and behavioural’, and ‘communication and learning’. Multinominal logistic regression was used to investigate socio-environmental associations of latent profile membership. Six latent profiles were identified (N = 6109), including three healthy/flourishing profiles: ‘healthy’ (52.6% of the sample), ‘early social skills flourishing’ (14.5%), and ‘early learning skills flourishing’ (4.0%); and three suboptimal profiles: ‘early learning skills difficulties’ (19.5%), ‘physical health difficulties’ (5.6%), and ‘developmental difficulties cluster’ (3.7%). Children experiencing socioeconomic disadvantage, of Māori or Pacific ethnicity, and with unmet healthcare needs had increased odds of being classified to suboptimal developmental health profiles. In this large, diverse cohort, one-in-four children were classified as having suboptimal developmental health. Addressing inequities in developmental health is crucial to improving health over the life course.","PeriodicalId":49984,"journal":{"name":"Journal of the Royal Society of New Zealand","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"59327541","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}