Explanipedia

Global sampling decline erodes science potential of natural history collections Open

Owen Forbes, Andrew G. Young, Peter H. Thrall · 2025

The world’s natural history collections hold over two billion specimens, representing a unique spatial and taxonomic record of biodiversity on Earth over time. In recent decades, the accessibility and value of collections data have grown t…

Natural History Collections at the Crossroads: Shifting Priorities and Data‐Driven Opportunities Open

Owen Forbes, Peter H. Thrall, Andrew G. Young, Cheng Soon Ong · 2025

Natural history collections face a critical juncture as environmental change and biodiversity crises accelerate. While collections data are key components of eco‐evolutionary and environmental research in both fundamental and applied conte…

Indigenous rights-based approaches to decolonising research methodologies in settler colonial contexts Open

Peter Anderson, Zane M. Diamond, Thu Pham, Angela Baeza, Carla Tapia Parada , et al. · 2025

Introduction Indigenous knowledge and perspectives continue to be misrepresented and misunderstood in settler colonial states, including within academic circles. This is particularly the case in the field of research, where non-Indigenous …

Functional analysis within latent states: A novel framework for analysing functional time series data Open

Owen Forbes, Edgar Santos–Fernández, Paul Pao‐Yen Wu, Kerrie Mengersen · 2025

Functional data analysis (FDA) enables modelling and interpretation of data represented as functions over a continuum like time, space, or frequency. This paper introduces the flawless analysis framework (FunctionaL Analysis Within LatEnt …

Data-driven recommendations for enhancing real-time natural hazard warnings Open

Kate Saunders, Owen Forbes, Jess K. Hopf, Charlotte R. Patterson, Sarah A. Vollert , et al. · 2025

Guidelines for the Creation of Analysis Ready Data Open

Harriette Phillips, Aiden Price, Owen Forbes, Claire Boulange, Kerrie Mengersen , et al. · 2024

Patterns of educational performance among Indigenous students in Australia, 2010–2019: Within-cohort, peer matching analysis for data-led decision-making Open

Peter Anderson, Owen Forbes, Kerrie Mengersen, Zane M. Diamond · 2024

Data reporting in the Australian education system produces deficit-based comparisons of academic achievement between Indigenous and non-Indigenous students. Since 2009, data from the National Assessment Program – Literacy and Numeracy (NAP…

Guidelines for the Creation of Analysis Ready Data Open

Harriette Phillips, Aiden Price, Owen Forbes, Claire Boulange, Kerrie Mengersen , et al. · 2024

Globally, there is an increased need for guidelines to produce high-quality data outputs for analysis. No framework currently exists that provides guidelines for a comprehensive approach to producing analysis ready data (ARD). Through crit…

Statistical machine learning methods for neuroscientific data: Analysing brain activity, psychopathology and cognitive function in adolescents Open

Owen Forbes · 2024

This thesis aims to advance the use of neuroscience data to improve understanding of youth mental health. The research focused on development of advanced statistical machine learning methods to analyse neuroscience data, with a particular …

Data-driven recommendations for enhancing real-time natural hazard warnings, communication, and response Open

Kate Saunders, Owen Forbes, Jess K. Hopf, Charlotte R. Patterson, Sarah A. Vollert , et al. · 2023

The effectiveness and adequacy of natural hazard warnings hinges on the availability of data and its transformation into actionable knowledge for the public. Real-time warning communication and emergency response therefore need to be evalu…

clusterBMA: Bayesian model averaging for clustering Open

Owen Forbes, Edgar Santos–Fernández, Paul Pao‐Yen Wu, Hongbo Xie, Paul Schwenn , et al. · 2023

Various methods have been developed to combine inference across multiple sets of results for unsupervised clustering, within the ensemble clustering literature. The approach of reporting results from one ‘best’ model out of several candida…

clusterBMA: Bayesian model averaging for clustering Open

Owen Forbes, Edgar Santos–Fernández, Paul Pao‐Yen Wu, Hongbo Xie, Paul Schwenn , et al. · 2022

Various methods have been developed to combine inference across multiple sets of results for unsupervised clustering, within the ensemble clustering literature. The approach of reporting results from one `best' model out of several candida…

EEG-based clusters differentiate psychological distress, sleep quality and cognitive function in adolescents Open

Owen Forbes, Paul Schwenn, Paul Pao‐Yen Wu, Edgar Santos–Fernández, Hongbo Xie , et al. · 2021

1 Abstract Introduction To better understand the relationships between brain activity, cognitive function and mental health risk in adolescence there is value in identifying data-driven subgroups based on measurements of brain activity and…

244 Implementing a telephone triage service for acute general paediatric referrals from primary care in a tertiary paediatric hospital Open

Lesley Nairn, Allison McKie, Clare Brady, Claire E Gilmore, Owen Forbes · 2021

Background The General Paediatric Service at our Hospital is extremely busy, often with more than 70 inpatients under the team each day during months of peak activity and over 40 new acute telephone referrals from Primary Care daily. The n…

Expert Perspectives on Outbreak Investigation Training: A Quality Improvement Exercise Open

Owen Forbes, Stephanie Davis, Amalie Dyda, Alexander Rosewell, Stephanie Williams , et al. · 2020

Aims: This study aimed to achieve a better understanding of factors contributing to effective training in outbreak investigation, including characteristics of effective trainees, supervisors, and training activities. Methods: We designed a…

A new ecosystem for evidence synthesis Open

Shinichi Nakagawa, Adam G. Dunn, Malgorzata Lagisz, Alexandra Bannach‐Brown, Eliza M. Grames , et al. · 2020

Field epidemiology training programmes in the Asia-Pacific: what is best practice for supervision? Open

Owen Forbes, Stephanie Davis, Amalie Dyda, Alexander Rosewell, Stephanie Williams , et al. · 2019

Introduction: Field epidemiology training programmes (FETPs) emphasize competency-based training and learning by doing. Supervision of FETP trainees is critical for programmes to achieve learning outcomes. We sought to address a knowledge …

Whose story is it? Mental health consumer and carer views on carer participation in research Open

Alyssa R. Morse, Owen Forbes, B Jones, Amelia Gulliver, Michelle Banfield · 2019

Background Mental health carers contribute a unique set of perspectives and lived experiences to research; however, national research ethics guidelines do not specifically address the issues that affect informal carers as participants. Obj…

Lived experience researchers partnering with consumers and carers to improve mental health research: Reflections from an Australian initiative Open

Michelle Banfield, Rebecca Randall, Mearon O'Brien, Sophie Hope, Amelia Gulliver , et al. · 2018

Consumer and carer involvement in mental health research is a growing and developing field. Whilst there has been policy and in‐principle support for such involvement from governments around the world, lived experience researchers conducti…

Health and social care coordination for severe and persistent mental illness in Australia: a mixed methods evaluation of experiences with the Partners in Recovery Program Open

Michelle Banfield, Owen Forbes · 2018

Silence is deadly: a cluster-randomised controlled trial of a mental health help-seeking intervention for young men Open

Alison L. Calear, Michelle Banfield, Philip J. Batterham, Alyssa R. Morse, Owen Forbes , et al. · 2017

Australian New Zealand Clinical Trials Registry, ACTRN12617000658314 . Registered on 8 May 2017.

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