Adam Dunn is an Associate Professor in the Centre for Health Informatics at Macquarie University. His research is in clinical research informatics, where he aims to improve the way results from clinical trials are used in systematic reviews; and digital epidemiology, where he uses large-scale data from news and social media to track how evidence and misinformation spread through society, with the aim of improving health behaviours.
Adam has been an investigator on projects funded by the NHMRC, AHRQ, and NLM; is an Associate Editor of BMC Medical Informatics and Decision Making, and Research Integrity and Peer Review; an Editorial Board member for JAMIA Open; and spends most of his time supporting postgraduate and early-career researchers at Macquarie University.
- Associate Professor (2018-present) in the Centre for Health Informatics, Australian Institute of Health Innovation, Faculty of Medicine and Health Sciences at Macquarie University, Sydney, Australia.
- Affiliated Faculty Member (2019-present) in the Computational Health Informatics Program, Boston Children’s Hospital, Boston, United States.
- Visiting Associate Professor (2018-present) in the Department of Primary Care Medicine, Faculty of Medicine at University of Malaya, Kuala Lumpur, Malaysia.
- Member, Society for Research Synthesis Methodology.
- Member, Evidence Policy and Influence Collaborative and Evidence Synthesis Node at the Charles Perkins Centre, The University of Sydney.
- Member, American Medical Informatics Association.
- Digital epidemiology: Applications of machine learning and network science in public and preventive health. These include using social media data to estimate spatiotemporal patterns of the health information that people see and engage with online; tracking the spread and persistence of misinformation, disinformation, conspiracies, and false advertising; and developing and testing interventions that aim to improve health literacy, evidence-informed decision making, and health behaviours.
- Clinical research informatics: Applications of machine learning and network science in the production, reporting, and synthesis of clinical evidence. These include measuring biases that affect the integrity of clinical trial research reporting and synthesis; examining the impact of financial conflicts of interest and their disclosures on biomedical research; and new tools to facilitate access to and use of clinical trial registrations and structured results data.
Current and past projects
- NLM R01 (1R01LM012976-01; 2019-2023) “Coupling results data from ClinicalTrials.gov and bibliographic databases to accelerate evidence synthesis”
- NHMRC Project (APP1128968; 2017-2019) “Monitoring the gap between evidence and vaccination behaviour by sampling the location-specific consumption of health information from news and social media”
- AHRQ R03 (HS024798-0; 2016-2017) “Developing Methods to Improve Systematic Reviews Using Clinical Trial Registries”
- NHMRC Project (APP1045065; 2013-2015) “Using collaboration networks to measure bias and inefficiency in the production and translation of evidence about cardiovascular risk”
- Centre for Health Informatics at UNSW (2008-2014) and then Macquarie University (2014-present).
- International Alcoa Foundation Conservation & Sustainability Fellow at Curtin University (2006-2008); landscape ecology of invasive species.
- Undergraduate training and PhD (2007) at The University of Western Australia in the suitably ambiguous area of complex systems and computational modelling formalisms, while modelling the spread of bushfires.
Funding groups, panels, and committees:
- NHMRC Postgraduate Scholarships Peer Review Committee (2018)
- NHMRC Project Grants as a reviewer (2012, 2016, 2018)
- Macquarie University Academic Senate (2019-2020)
- Macquarie University Freedom of Speech, Inquiry & Assembly Working Group (2019)
- Macquarie University Research and Research Training Committee (2019-2021)
- Macquarie University Research Enrichment Program Executive (2018-2019)
- Macquarie University Faculty of Medicine and Health Sciences Promotion Committee Level C (2017, 2018, 2019)
- Macquarie University Fellowship Panel (2015, 2016, 2017) and Co-chair (2018, 2019)
- Macquarie University Research Infrastructure Panel (2015, 2016)
- Macquarie University Postgraduate Research Fund Panel (2016)
- Macquarie University Faculty of Medicine and Health Sciences Promotion Committee Level B (2015, 2019)
- AIHI’s HDR Committee member for the Centre for Health Informatics (2016-2018)
- UNSW Postdoctoral Academy Committee and Sub-Committee (2012-2013)
My email address is firstname.lastname@example.org.
On this website, I keep an up-to-date list of my published articles and pre-prints, along with media mentions, the talks I give, and the peer review and editorial work that I do. Because I work across several disciplines, citations to my work are generally most reliable at Google Scholar. My Erdős number is four. If you want to get in contact with me fast, it’s probably best to tweet me at @adamgdunn.