Melbourne Medical School Collected Works - Research Publications
Permanent URI for this collection
Search Results
1 - 10 of 11
-
ItemHealthy, Regenerative and Just: guiding the development of a national strategy on climate, health and well-being for Australia(Elsevier BV, 2023-01)This report is a reflective narrative, documenting the methods used to develop a policy framework for a National Strategy on Climate, Health and Well-being for Australia. The report aims to guide advocates, communities of practice and governments in developing a comprehensive policy response to climate change and its health impacts.
-
ItemStandardised data on initiatives-STARDIT: Beta version.(Springer Science and Business Media LLC, 2022-07-19)BACKGROUND AND OBJECTIVE: There is currently no standardised way to share information across disciplines about initiatives, including fields such as health, environment, basic science, manufacturing, media and international development. All problems, including complex global problems such as air pollution and pandemics require reliable data sharing between disciplines in order to respond effectively. Current reporting methods also lack information about the ways in which different people and organisations are involved in initiatives, making it difficult to collate and appraise data about the most effective ways to involve different people. The objective of STARDIT (Standardised Data on Initiatives) is to address current limitations and inconsistencies in sharing data about initiatives. The STARDIT system features standardised data reporting about initiatives, including who has been involved, what tasks they did, and any impacts observed. STARDIT was created to help everyone in the world find and understand information about collective human actions, which are referred to as 'initiatives'. STARDIT enables multiple categories of data to be reported in a standardised way across disciplines, facilitating appraisal of initiatives and aiding synthesis of evidence for the most effective ways for people to be involved in initiatives. This article outlines progress to date on STARDIT; current usage; information about submitting reports; planned next steps and how anyone can become involved. METHOD: STARDIT development is guided by participatory action research paradigms, and has been co-created with people from multiple disciplines and countries. Co-authors include cancer patients, people affected by rare diseases, health researchers, environmental researchers, economists, librarians and academic publishers. The co-authors also worked with Indigenous peoples from multiple countries and in partnership with an organisation working with Indigenous Australians. RESULTS AND DISCUSSION: Over 100 people from multiple disciplines and countries have been involved in co-designing STARDIT since 2019. STARDIT is the first open access web-based data-sharing system which standardises the way that information about initiatives is reported across diverse fields and disciplines, including information about which tasks were done by which stakeholders. STARDIT is designed to work with existing data standards. STARDIT data will be released into the public domain (CC0) and integrated into Wikidata; it works across multiple languages and is both human and machine readable. Reports can be updated throughout the lifetime of an initiative, from planning to evaluation, allowing anyone to be involved in reporting impacts and outcomes. STARDIT is the first system that enables sharing of standardised data about initiatives across disciplines. A working Beta version was publicly released in February 2021 (ScienceforAll.World/STARDIT). Subsequently, STARDIT reports have been created for peer-reviewed research in multiple journals and multiple research projects, demonstrating the usability. In addition, organisations including Cochrane and Australian Genomics have created prospective reports outlining planned initiatives. CONCLUSIONS: STARDIT can help create high-quality standardised information on initiatives trying to solve complex multidisciplinary global problems.
-
ItemSocial Prescribing the Smart City(BCS Learning & Development, 2021)
-
ItemTuring's Sunflowers: Public research and the role of museums(Center for Open Science, 2020-04-21)
In recent years, public engagement in museums is increasingly being influenced by the paradigm of “citizen science”, that is, active participation in research teams by members of the general public with no formal training in the field of research concerned. This paper provides an overview of citizen science approaches which museums can deploy using online platforms, digital tools and apps. It also aims to highlight challenges and innovations, as well as possible opportunities for cultural organisations to include public participation in research and knowledge creation.
-
ItemEthical Issues in AI-Enabled Disease Surveillance: Perspectives from Global Health(MDPI, 2022-04)Infectious diseases, as COVID-19 is proving, pose a global health threat in an interconnected world. In the last 20 years, resistant infectious diseases such as severe acute respiratory syndrome (SARS), Middle East respiratory syndrome (MERS), H1N1 influenza (swine flu), Ebola virus, Zika virus, and now COVID-19 have been impacting global health defences, and aggressively flourishing with the rise of global travel, urbanization, climate change, and ecological degradation. In parallel, this extraordinary episode in global human health highlights the potential for artificial intelligence (AI)-enabled disease surveillance to collect and analyse vast amounts of unstructured and real-time data to inform epidemiological and public health emergency responses. The uses of AI in these dynamic environments are increasingly complex, challenging the potential for human autonomous decisions. In this context, our study of qualitative perspectives will consider a responsible AI framework to explore its potential application to disease surveillance in a global health context. Thus far, there is a gap in the literature in considering these multiple and interconnected levels of disease surveillance and emergency health management through the lens of a responsible AI framework.
-
ItemVirtual nature, inner forest: Prospects for immersive virtual nature art and well-being(Intellect, 2021-01-01)Over a number of decades, studies have revealed compelling relationships between experiences of the natural environment and positive health outcomes in adult communities. These psychosocial health benefits have typically been described via key theoretical frameworks in the health sciences, such as the biophilia hypothesis. Despite the body of evidence for nature design and well-being, propositions for immersive virtual nature experiences are still emerging across the fields of creativity and health. In this article, we identify the potential for immersive virtual nature art as a creative well-being intervention, articulated through a discussion of background literature and concepts leading to the development of our artwork, Inner Forest (2020‐21). This article incorporates a transdisciplinary suite of perspectives across three key parts; in the first section, we review key health and design research around beneficial nature experiences, with particular emphasis on designing technological nature. Secondly, we propose considerations for immersive virtual nature experiences, as distinct from prior iterations of technological nature; these considerations are framed through discussion of our artistic and well-being rationale for designing the collaborative artwork Inner Forest. This extended reality (XR) project was developed in response to well-being challenges such as social isolation and restricted nature access- of particular valence during the COVID-19 pandemic. The artwork incorporates multisensory, aesthetic elements drawn from biophilic design guidelineswhich support creative, evidence-based approaches to designed nature and societal health. To conclude this article, we report on prospects for further scaling of the Inner Forest artwork, with ongoing scope to contribute to both nature-health design and immersive virtual nature art practices.
-
ItemEthical Issues in AI-enabled Disease Surveillance: Perspectives from Global Health( 2022)Infectious diseases, as COVID-19 is proving, pose a global health threat in an interconnected world. In the last 20 years, resistant infectious diseases such as SARS, MERS, H1N1, Ebola, Zika and now COVID-19 have been impacting global health defences, and aggressively flourishing within the rise of global travel, urbanization, climate change and ecological degradation. In parallel, this extraordinary episode in global human health highlights the potential for artificial intelligence (AI)-enabled disease surveillance to collect and analyse vast amounts of unstructured and real-time data to inform epidemiological and public health emergency responses. The uses of AI in these dynamic environments are increasingly complex, challenging the potential for human autonomous decisions. In this context, our study of qualitative perspectives will consider a responsible AI framework to explore its potential application to disease surveillance in a global health context. Thus far, there is a gap in the literature in considering these multiple and interconnected levels of disease surveillance and emergency health management through the lens of a responsible AI framework.
-
ItemKnowledge co-creation in participatory policy and practice: Building community through data-driven direct democracy(SAGE PUBLICATIONS INC, 2021-01)Engaging citizens with digital technology to co-create data, information and knowledge has widely become an important strategy for informing the policy response to COVID-19 and the ‘infodemic’ of misinformation in cyberspace. This move towards digital citizen participation aligns well with the United Nations’ agenda to encourage the use of digital tools to enable data-driven, direct democracy. From data capture to information generation, and knowledge co-creation, every stage of the data lifecycle bears important considerations to inform policy and practice. Drawing on evidence of participatory policy and practice during COVID-19, we outline a framework for citizen ‘e-participation’ in knowledge co-creation across every stage of the policy cycle. We explore how coupling the generation of information with that of social capital can provide opportunities to collectively build trust in institutions, accelerate recovery and facilitate the ‘e-society’. We outline the key aspects of realising this vision of data-driven direct democracy by discussing several examples. Sustaining participatory knowledge co-creation beyond COVID-19 requires that local organisations and institutions (e.g. academia, health and welfare, government, business) incorporate adaptive learning mechanisms into their operational and governance structures, their integrated service models, as well as employing emerging social innovations.
-
ItemCombining the Digital, Social and Physical Layer to Create Age-Friendly Cities and Communities(MDPI, 2021-01)This qualitative investigation makes suggestions about creating age-friendly cities for older adults focusing on three domains of the World Health Organization (WHO) age-friendly city framework namely "Communication and Information", "Outdoor Spaces and Buildings" and "Social Participation". The authors present two case studies, the first one focusing on older adults using activity wearables for health self-management in the neighborhood, and the second one focusing on older adults engaged in social prescribing activities in the community. The authors then reflect on the relationships of the domains and future opportunities for age-friendly cities. These case studies apply a co-design and citizen-based approach focusing within these larger frameworks on emotions, values and motivational goals of older adults. Results suggest how the convergence of the often siloed age-friendly city components based on older adults' goals and input can lead to better social participation and longer-term health outcomes. The authors propose that the digital, physical and social aspects need to be considered in all domains of age-friendly cities to achieve benefits for older adults. Further work involving older adults in the future shaping of age-friendly neighborhoods and cities, and identifying barriers and opportunities is required.
-
ItemResearch data management in health and biomedical citizen science: practices and prospects(Oxford University Press (OUP), 2019)Background: Public engagement in health and biomedical research is being influenced by the paradigm of citizen science. However, conventional health and biomedical research relies on sophisticated research data management tools and methods. Considering these, what contribution can citizen science make in this field of research? How can it follow research protocols and produce reliable results? Objective: The aim of this article is to analyze research data management practices in existing biomedical citizen science studies, so as to provide insights for members of the public and of the research community considering this approach to research. Methods: A scoping review was conducted on this topic to determine data management characteristics of health and bio medical citizen science research. From this review and related web searching, we chose five online platforms and a specific research project associated with each, to understand their research data management approaches and enablers. Results: Health and biomedical citizen science platforms and projects are diverse in terms of types of work with data and data management activities that in themselves may have scientific merit. However, consistent approaches in the use of research data management models or practices seem lacking, or at least are not prevalent in the review. Conclusions: There is potential for important data collection and analysis activities to be opaque or irreproducible in health and biomedical citizen science initiatives without the implementation of a research data management model that is transparent and accessible to team members and to external audiences. This situation might be improved with participatory development of standards that can be applied to diverse projects and platforms, across the research data life cycle.