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data science

2,473 papers

#data science Open access Oct 2026

Understanding what works for high-attaining girls in a single-sex school: a capabilities approach

The underrepresentation of girls and women in STEM (Science, Technology, Engineering, and Maths) careers has been recognised as a global issue for decades. Despite notable academic success, even high-achieving girls often do not pursue STEM pathways. This trend highlights how structural and cultural barriers persist in...

Canan Özkaya · 0 citations
#data science Open access Oct 2026

It’s the people that make it special: an exploration of social connection as a protective factor supporting behavioural health among a sample of young men in Belfast

Previous public health and social science literature support the assertion that social connection operates as a protective factor to promote good behavioural health across populations. However, features of High Traditional Masculinity (the hegemonic form of masculine identity in Britain and Ireland) may inhibit the abi...

Amanda Dylina; id_orcid 0000-0003-4364-1679 Morse · 0 citations
#data science Open access Oct 2026

Machine learning applications for transient discovery facing Rubin Science

The Vera C. Rubin Observatory’s Legacy Survey of Space and Time (LSST) will revolutionise time-domain astronomy by producing millions of photometric alerts per night, requiring scalable and robust machine-learning (ML) methods for both variability characterisation and rapid transient identification. This thesis develop...

Xinyue Sheng · 0 citations
#data science Open access Oct 2026

Constructing knowledge on investigative genetic genealogy: policy-making, human rights and the private individual

Investigative genetic genealogy (IGG) is a controversial new forensic investigative tool which sees state and private actors exploit the wealth of genetic data stored within genetic genealogy databases to generate investigative leads for criminal justice purposes. As such, the use of IGG raises privacy concerns not onl...

Gillian W. Keilty · 0 citations
#data science Open access Oct 2026

E-cigarette use in Kuwait: prevalence, knowledge, attitudes and beliefs

The use of electronic cigarettes (e-cigarettes) as a smoking cessation aid or as a permanent replacement for smoking is increasing. The gateway theory states that e-cigarette use might lead to the use of combustible cigarettes by non-smokers, especially by adolescents. The aim of this PhD study was to investigate e-cig...

Ghazi M GH N M Almutairi · 0 citations
#data science Open access Oct 2026

RothC Official Rothamsted Research Release (R Version)

The Rothamsted carbon model (RothC) Purpose RothC models the turnover of organic carbon in non-waterlogged top-soil. It accounts for the effects of soil texture, temperature, moisture content and plant cover on the turnover process. It uses a monthly time step to calculate total organic carbon (t ha -1), microbial biom...

Jonah M. Prout, K. Coleman, Alice E. Milne · 0 citations
#data science Dataset Open access Oct 2026

ARTigo: Social Image Tagging (Aggregated Data)

ARTigo (https://www.artigo.org/) is a Citizen Science project that has been jointly developed at the Institute for Art History and the Institute for Informatics at Ludwig Maximilian University of Munich since 2010. It enables participants to engage in the tagging of artworks, thus fostering knowledge accumulation and d...

François Bry, Hubertus Kohle, Thomas Krefeld et al. · 0 citations
#data science Dataset Open access Oct 2026

ARTigo: Social Image Tagging (Raw Data)

ARTigo (https://www.artigo.org/) is a Citizen Science project that has been jointly developed at the Institute for Art History and the Institute for Informatics at Ludwig Maximilian University of Munich since 2010. It enables participants to engage in the tagging of artworks, thus fostering knowledge accumulation and d...

François Bry, Hubertus Kohle, Thomas Krefeld et al. · 0 citations
#data science Open access Oct 2026

Does open data increase government accountability?

This project concerns itself with the impact of open data on government accountability. It critically assesses open data’s ability to increase the accountability of government in practice. The study offers insight into the positive dividends and potentially negative consequences of open data. It considers the potential...

Connel McKeown · 0 citations
#data science Open access Oct 2026

Childhood trauma as a predictor of reoffending

(1) Childhood Physical and Sexual Abuse as Predictors of Reoffending: A Systematic ReviewAbstract:Background: Experiences of childhood trauma, such as physical and sexual abuse are common among offender populations, and a trauma history is related to increases in the risk of criminal conduct. Previous reviews on the li...

Madeleine Dalsklev · 0 citations
#data science Open access Oct 2026

How do probation officers apply attachment theory in their practice? A qualitative study of probation supervision

The starting point for this thesis was an article that I published in Probation Journal entitled 'The Application of Attachment Theory with Offenders' (Ansbro, 2008). It was an essay type article rather than a piece of research in which I suggested that attachment theory might provide some useful applications for proba...

Maria Ansbro · 0 citations
#data science Open access Oct 2026

A Study on the Implementation of the Strengthening Innovation and Practice in Secondary Education Initiative for the preparation of Science, Technology, English and Mathematics (STEM) Teachers in Kenya to integrate Information and Communication Technology (ICT) in Teaching and Learning

The aim of this research study was to critically appraise the innovation model in relation to teacher development for ICT use in classroom practice associated with the Strengthening Innovative Practice in Secondary Education (SIPSE) project conducted in Kenya secondary schools. The model integrated an ICT Competency Fr...

Mary Hooker · 5 citations

From tech blogs

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Microsoft Research Blog Oct 6, 2026

What AI gets wrong and what failure teaches us

Jennifer Neville did not want to go into computer science—but that’s exactly where she landed. Neville discusses the starts and stops that led to her professional sweet spot and her work identifying “surprising failures” making it hard for AI to handle complexity.  The post What AI gets wrong and what failure teaches us appeared first on Microsoft Research.

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