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
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Developing recommendations to support the mental well-being of academic mental health researchers
Winstone, L., Bennett, J. & Di Cara, N. H.
1/11/23 → 31/07/24
Project: Research
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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 AccessFile9 Downloads (Pure) -
Longitudinal reliability of Twitter sentiment for measuring mental health and well-being in a UK birth cohort
Di Cara, N. H., Davis, O. S. P. & Haworth, C. M. A., 18 Sept 2023.Research output: Contribution to conference › Conference Abstract › peer-review
Open Access -
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 Access4 Citations (Scopus)
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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