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The UK Data Service is pleased to have had two Q-Step interns working in the Computational Social Sciences (CSS) team, based in the Cathie Marsh Institute at the University of Manchester. In this post, Julia Kasmire, head of the CSS team, introduces the Q-Step programme, and undergraduate students May and Sima reflect on what they got out of their internships.
Enhancing quantitative research skills through Q-Step
The Q-Step programme is a response to the cambodia rcs data problematic shortage of quantitative knowledge and experience within the social sciences. As a large-scale strategic programme, Q-Step gives undergraduate students a chance to increase their confidence and capacity around quantitative statistics, data, research methods and social science skills through popular features like the annual internships.
In June 2021, we were really pleased to hire May and Sima as interns in the Computational Social Science (CSS) training team at the UK Data Service. We tasked them with moving through an entire computational social science research project with only one condition – they had to use social media data.
Enhancing quantitative research skills through Q-Step
The Q-Step programme is a response to the cambodia rcs data problematic shortage of quantitative knowledge and experience within the social sciences. As a large-scale strategic programme, Q-Step gives undergraduate students a chance to increase their confidence and capacity around quantitative statistics, data, research methods and social science skills through popular features like the annual internships.
In June 2021, we were really pleased to hire May and Sima as interns in the Computational Social Science (CSS) training team at the UK Data Service. We tasked them with moving through an entire computational social science research project with only one condition – they had to use social media data.