Projects per year
Personal profile
Research interests
I research the applications of data science to mental health and well-being data. Most recently this has included the use of social media data as a digital phenotype for mental health in birth cohorts, as well as the public acceptability and responsible development of new data science technologies.
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Collaborations and top research areas from the last five years
Projects
- 1 Finished
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Mood music: using Spotify to infer wellbeing
Davis , O. S. & Di Cara, N. H.
12/12/19 → 1/07/20
Project: Research
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Epicosm — a framework for linking online social media in epidemiological cohorts
Tanner, A., Di Cara, N. H., Maggio, V., Thomas, R. G., Boyd, A., Sloan, L., Al Baghal, T., Macleod, J. A. A., Haworth, C. M. A. & Davis, O. S. P., 1 Jun 2023, In: International Journal of Epidemiology. 52, 3, p. 952-957 6 p., dyad020.Research output: Contribution to journal › Article (Academic Journal) › peer-review
Open AccessFile -
Methodologies for Monitoring Mental Health on Twitter: Systematic Review
Di Cara, N. H., Maggio, V., Davis, O. S. P. & Haworth, C. M. A., 8 May 2023, In: Journal of Medical Internet Research. 25, 21 p., e42734 .Research output: Contribution to journal › Article (Academic Journal) › peer-review
Open Access2 Citations (Scopus) -
Data Ethics Club: Creating a collaborative space to discuss data ethics
Di Cara, N., Zelenka, N. R., Day, H., Bennet, E. D. S., Hanschke, V. A., Maggio, V., Michalec, O., Radclyffe, C. J. D., Shkunov, R., Tonkin, E. L., Turner, Z. & Wells, K., 8 Jul 2022, In: Patterns. 3, 7, 8 p., 100537.Research output: Contribution to journal › Article (Academic Journal) › peer-review
Open AccessFile41 Downloads (Pure)
Thesis
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Mental health data science in rich longitudinal cohort studies
Author: Di Cara, N. H., 27 Sept 2022Supervisor: Haworth, C. (Supervisor), Davis, O. (Supervisor) & Sloan, L. (External person) (Supervisor)
Student thesis: Doctoral Thesis › Doctor of Philosophy (PhD)
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