Overview
Availability
- Dr Sam Hames is:
- Available for supervision
Fields of research
Qualifications
- Bachelor (Honours) of Mechanical Engineering, The University of Queensland
- Doctor of Philosophy of Biomedical Engineering, The University of Queensland
Research interests
-
Computational approaches to qualitative and interpretive inquiry
Computers are typically seen as tools for automation and quantitative inquiry, but they could be so much more. I am interested in how we can create new tools, workflows, and methods for using computers that support and enable qualitative and interpretive inquiry.
Works
Search Professor Sam Hames’s works on UQ eSpace
2024
Journal Article
Mapping and measuring neighbourhood social media groups. The case of facebook
Zahnow, Renee, Verrier, Jeremy, Hames, Sam and Corcoran, Jonathan (2024). Mapping and measuring neighbourhood social media groups. The case of facebook. Applied Geography, 172 103415, 103415. doi: 10.1016/j.apgeog.2024.103415
2024
Journal Article
A mixed‐methods approach to understand victimization discourses by opposing feminist sub‐groups on social media
Maxwell, Christina, Selvanathan, Hema Preya, Hames, Sam, Crimston, Charlie R. and Jetten, Jolanda (2024). A mixed‐methods approach to understand victimization discourses by opposing feminist sub‐groups on social media. British Journal of Social Psychology. doi: 10.1111/bjso.12785
2024
Other Outputs
Introduction to Computational Text Analytics (Workshop)
Schweinberger, Martin and Hames, Sam (2024). Introduction to Computational Text Analytics (Workshop). Brisbane, QLD Australia: The University of Queensland.
2024
Journal Article
The coordination network toolkit: a framework for detecting and analysing coordinated behaviour on social media
Graham, Timothy, Hames, Sam and Alpert, Elizabeth (2024). The coordination network toolkit: a framework for detecting and analysing coordinated behaviour on social media. Journal of Computational Social Science, 7 (2), 1139-1160. doi: 10.1007/s42001-024-00260-z
2023
Conference Publication
Who swears most – and in what social settings?
Schweinberger, Martin, Fatemi, Masoud, Hames, Sam, Haugh, Michael, Laitinen, Mikko, Rautionaho, Paula and Takahashi, Marissa (2023). Who swears most – and in what social settings?. 7th Meeting of the International Society for the Linguistics of English (ISLE7), Brisbane, QLD, Australia, 19-23 June 2023. Brisbane, QLD, Australia: University of Queensland.
2023
Other Outputs
Data in the humanities with text analytics
Schweinberger, Martin and Hames, Sam (2023). Data in the humanities with text analytics. Brisbane, QLD, Australia: The University of Queensland.
2023
Journal Article
Centralising qualitative research in big data methods through algorithmic ethnography
Barnes, Naomi and Hames, Samuel (2023). Centralising qualitative research in big data methods through algorithmic ethnography. Journal of Digital Social Research, 5 (1), 90-108. doi: 10.33621/jdsr.v5i1.129
2023
Journal Article
What is the hype on # MedicinalCannabis in the United States? A content analysis of medicinal cannabis tweets
Lim, Carmen C. W., Sun, Tianze, Gartner, Coral, Connor, Jason, Fahmi, Marco, Hall, Wayne, Hames, Sam, Stjepanović, Daniel, Chan, Gary and Leung, Janni (2023). What is the hype on # MedicinalCannabis in the United States? A content analysis of medicinal cannabis tweets. Drug and Alcohol Review, 43 (1), 28-35. doi: 10.1111/dar.13618
2022
Other Outputs
Data driven non-invasive assessment of human skin
Hames, Samuel (2022). Data driven non-invasive assessment of human skin. PhD Thesis, Faculty of Medicine, The University of Queensland. doi: 10.14264/68caa49
2021
Journal Article
Towards data-driven quantification of skin ageing using reflectance confocal microscopy
Hames, Samuel C., Bradley, Andrew P., Ardigo, Marco, Soyer, H. Peter and Prow, Tarl W. (2021). Towards data-driven quantification of skin ageing using reflectance confocal microscopy. International Journal of Cosmetic Science, 43 (4), 466-473. doi: 10.1111/ics.12720
2021
Journal Article
#IStandWithDan versus #DictatorDan: the polarised dynamics of Twitter discussions about Victoria's COVID-19 restrictions
Graham, Timothy, Bruns, Axel, Angus, Daniel, Hurcombe, Edward and Hames, Sam (2021). #IStandWithDan versus #DictatorDan: the polarised dynamics of Twitter discussions about Victoria's COVID-19 restrictions. Media International Australia , 179 (1), 127-148. doi: 10.1177/1329878x20981780
2021
Journal Article
Analysing discourse around COVID-19 in the Australian Twittersphere: a real-time corpus-based analysis
Schweinberger, Martin, Haugh, Michael and Hames, Sam (2021). Analysing discourse around COVID-19 in the Australian Twittersphere: a real-time corpus-based analysis. Big Data and Society, 8 (1), 205395172110214. doi: 10.1177/20539517211021437
2017
Book Chapter
Computational methods in skin confocal microscopy
Kose, Kivanc and Hames, Samuel C. (2017). Computational methods in skin confocal microscopy. Reflectance confocal microscopy of cutaneous tumors. (pp. 26-36) edited by Salvador Gonzalez. Boca Raton, FL, United States: CRC Press. doi: 10.1201/9781315113722-11
2016
Journal Article
Automated segmentation of skin strata in reflectance confocal microscopy depth stacks
Hames, Samuel C., Ardigò, Marco, Soyer, H. Peter, Bradley, Andrew P. and Prow, Tarl W. (2016). Automated segmentation of skin strata in reflectance confocal microscopy depth stacks. PLoS One, 11 (4) e0153208, e0153208. doi: 10.1371/journal.pone.0153208
2016
Conference Publication
Anatomical skin segmentation in reflectance confocal microscopy with weak labels
Hames, Samuel C., Ardigo, Marco, Soyer, H. Peter, Bradley, Andrew P. and Prow, Tarl W. (2016). Anatomical skin segmentation in reflectance confocal microscopy with weak labels. International Conference on Digital Image Computing: Techniques and Applications, DICTA 2015, Adelaide, Australia, 23-25 November 2015. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/DICTA.2015.7371231
2015
Journal Article
Automated detection of actinic keratoses in clinical photographs
Hames, Samuel C., Sinnya, Sudipta, Tan, Jean-Marie, Morze Conrad, Sahebian, Azadeh, Soyer, H. Peter and Prow, Tarl W. (2015). Automated detection of actinic keratoses in clinical photographs. PLoS ONE, 10 (1) e0112447, e0112447.1-e0112447.12. doi: 10.1371/journal.pone.0112447
2015
Journal Article
Counting actinic keratosis – is photographic assessment a reliable alternative to physical examination in clinical trials?
Sinnya, Sudipta, O'Rourke, Peter, Ballard, Emma, Tan, Jean M., Morze, Conrad, Sahebian, Azadeh, Hames, Sam C., Prow, Tarl W., Green, Adele C. and Soyer, H. Peter (2015). Counting actinic keratosis – is photographic assessment a reliable alternative to physical examination in clinical trials?. Acta Dermato-Venereologica, 95 (5), 604-605. doi: 10.2340/00015555-2040
2015
Journal Article
The future of keratinocyte skin cancer surveillance: automated image analysis to identify and monitor keratinocyte dysplasia
Hames, S. C. and Prow, T. W. (2015). The future of keratinocyte skin cancer surveillance: automated image analysis to identify and monitor keratinocyte dysplasia. Current Problems in Dermatology, 46, 77-84. doi: 10.1159/000366540
2015
Conference Publication
Segmentation of skin strata in reflectance confocal microscopy depth stacks
Hames, Samuel C., Ardigo, Marco, Soyer, H. Peter, Bradley, Andrew P. and Prow, Tari W. (2015). Segmentation of skin strata in reflectance confocal microscopy depth stacks. Medical Imaging 2015: Image Processing, Orlando, FL United States, 24-26 February 2015. Bellingham, WA United States: S P I E - International Society for Optical Engineering. doi: 10.1117/12.2081737
2013
Conference Publication
Intra and interobserver variability of counting actinic keratoses in the era of photographic documentation: a reliability consensus study
Sinnya, S., Tan, J. M., O'Rourke, P., Hames, S., Morze, C., Sahebian, A., Patel, N., Green, A., Prow, T. and Soyer, H. P. (2013). Intra and interobserver variability of counting actinic keratoses in the era of photographic documentation: a reliability consensus study. The Australasian College of Dermatologists 46th Annual Scientific Meeting, Sydney, NSW, Australia, 19-22 May 2013. Richmond, VIC, Australia: Wiley-Blackwell Publishing Asia. doi: 10.1111/ajd.12051
Funding
Past funding
Supervision
Availability
- Dr Sam Hames is:
- Available for supervision
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Media
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