In press (2021) Carter, J., Méndez-Romero, R. A., Jones, P., Higgins, V. and Samartini, A. L. S. EmpoderaData: Sharing a successful work-placement data skills training model within Latin America, to develop capacity to deliver the SDGs. Special Edition on Statistical Literacy of the Statistical Journal IAOS.

Carter J. (2021) Developing a future pipeline of applied social researchers through experiential learning: the case of a data fellows programme. Special Edition on Statistical Literacy of the Statistical Journal IAOS.

Carter, J. (2021) Work Placements, Internships & Applied Social Research. SAGE. 

Jones, P., Carter, J., Renken, J. and Arbeláez Tobón, M. (2021) Strengthening the Skills Pipeline for Statistical Capacity Development to Meet the Demands of Sustainable Development: Implementing a Data Fellowship Model in Colombia. Digital Development Working paper 89/2021

Kasmire, J. and Zhao, A. (2021) Discovering the arrow of time in machine learning. In Proceedings of the ICTeSSH 2021 conference.

Hodson, M., Kasmire, J., McMeekin, A., Stehlin, J. G. and Ward, K. (2020) Urban Platforms and the Future City: Transformations in Infrastructure, Governance, Knowledge and Everyday Life. Routledge

Kasmire, J. (2020) Review of Andrew Crooks, Nicolas Malleson, Ed Manley and Alison Heppenstall. Agent-based modelling and geographical information systems - A practical primer. SAGE Publications Sage UK: London, England.

Higgins, V., Casasbuenas, V., Ricard, J. and Carter, J. (2019) EmpoderaData: Data Literacy Assessment and Sustainable Development Goals Data Gaps: Brazil, Colombia and Mexico. EmpoderaData Report.

Sufi, S. A., Duckles, B., Simera, I., Nurmikko-Fuller, T., Bellis, L., Miah, W., Wilde, A., Nenadic, A., Silva, R., de Beyer, J. A., Struthers, C., Emsley, I., Philippe, O., Balzano, M., Coelho, S., Ford, H., Jones, C. & Higgins, V. (2018) Ten Simple Rules for Measuring the Impact of Workshops. In PLoS Computational Biology, 14, 8. DOI: 10.1371/journal.pcbi.1006191

Buckley, J., and Higgins, V. (2017) Teaching ideas: Sharing ideas for bringing data into the undergraduate classroom. In ALISS Quarterly. 13, 1, p. 17-20 4 p.

Carter, J. (Under submission). Work Placements, Internships and Applied Research. SAGE. The book proposal has been approved, contract granted, with a publication date of 2017.

Carter, J., Brown, M., and Simpson, K. (Under submission) From the classroom to the workplace: how social science students are learning to do data analysis for real Special Edition of Statistics Education Research Journal

Sperrin, M., Marshall, A. D., Higgins, V., Renehan, A. G. & Buchan, I. E. (2015) Body mass index relates weight to height differently in women and older adults: serial cross-sectional surveys in England (1992-2011). In Journal of Public Health. 37, 2. DOI: 10.1093/pubmed/fdv067

Buckley, J., Brown, M., Thomson, S., Olsen W. and Carter, J. (2015) Embedding quantitative skills into the Social Science Curriculum: case studies from Manchester. International Journal of Social Research Methodology, pp. 495-510, DOI: 10.1080/13645579.2015.1062624


Other publications/resources

UK Data Service guides (PDF)


Higgins, V. (2021) EmpoderaData: Developing data literacy capacity in Latin America. IASSIST 2021, Virtual Conference.

Higgins, V. (2021) Teaching data literacy skills via online and interactive 'Data Skills Modules'. IASSIST 2021, Virtual Conference.

Kasmire, J., and McDonnell, D. (2020) Thinking like a computational social scientist: Organising thoughts and organising data. Presentation at Big Surv’ 20

Higgins, V. (2019) Pathways to ethnic differences in obesity: the role of migration, culture and socio-economic position in the UK, poster at Society for Social Medicine and Population Health and International Epidemiology Association European Congress Joint Annual Scientific Meeting, Cork, 4 September 2019

Higgins, V. (2019) A New Approach to Teaching the Re-Use of Survey Data - Online, Interactive “Data Skills Modules”, European Survey Research Association Conference, Zagreb, 15 - 19 July 2019

Higgins, V. (2018) Online, interactive data skills modules - making learning more accessible, Royal Statistical Society Annual Conference, Cardiff, 6 September 2018

Simpson, K. Developing Quantitative Teaching and Learning Resources for Students & Teachers, 42nd International Association for Social Science Information Services and Technology (IASSIST), Bergen, Norway 2016.

Carter, J. Have data skills will travel: one summer 19 stories, IASSIST Conference, Minneapolis, USA 3-5 June 2015.

King-Hele, S. Training users to work with research data, IASSIST Conference, Minneapolis, USA 3-5 June 2015. 

Carter, J. Making it Real: From the Classroom to the Workplace An ASC & RSS Joint Event: The Achievements of the Q-Step Programme, RSS London, 29 Sept 2015 Organised with Steve Taylor, We Work With Data. Recording of the event, Carter from 14:07-25:09. Recording also includes employers and students from Q-Step 2014, Chris Atwood (Home Office) and Teresa Williams (Nuffield Foundation).

Carter, J. Do work placements work? How the University of Manchester Q-Step Centre is making data analysis real for undergraduates by putting them into the workplace, Royal Statistical Society Annual Conference, University of Exeter, 6-8 Sep 2015. 

Carter, J. and Simpson, K. Summer internships - what works? Evidencing impact of undergraduate quantitative skills: the case of the University of Manchester Q-Step Centre Invited panel session for the Annual PSA/BISA Teaching and Learning Conference 2015, University of West of England, 7-8 Sept 2015 Conference Title: Investigating pedagogic research and practice in Politics and International Relations. Panel Session Four: Critical explorations of student engagement: internships, research and digital imagery. Resulted in a request to write up the paper for Special Edition of BISA publication.

 a strategically and important subject area: Quantitative Social Science. OER12, University of Cambridge, May 2012.

Carter, J. Adapting to an open data world. Invited presentation to the World Bank Development Data Group, World Bank, Washington DC Feb 2012.