This is our searchable database of training courses. For details of bursaries, and more about our larger events, see our training overview page.
Legend:
- NCRM course
- NCRM Partner
- DTP course
- Online course
- Postponed
- Waiting list
- Bookings closed
- Fully booked
- Few places left
- Cancelled
Agentic Coding for Survey Research - Online
Dr Antonio Mele is AI in Education Fellow, Associate Professor of Economics (Education) and Undergraduate Programme Director at the Department of Economics, London School of Economics and Political Science. His background combines academic economics, computational methods, and research-led teaching design. He holds a PhD in Economics from Universitat Pompeu Fabra and works at the intersection of macroeconomics, monetary economics, dynamic contracts, and computational workflows. Alongside his teaching and research work, he develops practical training on agentic coding, reproducible research, and AI-assisted academic workflows for economists and social scientists. His workshops focus on turning research tasks into structured, reviewable, and reproducible pipelines that combine GitHub, AI agents, and clear verification steps. LSE public profile: http://lse.ac.uk/people/antonio-mele
Delivered online by University of Southampton, UK
Vibe Coding: An Introduction for Social Scientists - Online
Dr Dipanjan Saha
Delivered online by the University of Liverpool
AI for Survey Researchers – A three-workshop series (online)
Dr Paulo Serôdio is a researcher at the Institute for Social and Economic Research (ISER), University of Essex, where he works on integrating AI into survey workflows at Understanding Society, the UK Household Longitudinal Study (UKHLS). His work focuses on the practical application of large language models and agentic AI systems to large-scale survey research infrastructure.
Delivered online by University of Southampton, UK
Four Qualitative Methods for Understanding Diverse Lives - Online
Dr Amy Barron, Lecturer in Social and Cultural Geography at The University of Manchester. Amy is interested in age, ageing and the life-course and approaches these themes through more-than-representational theories and draws on a range of creative and participatory research methods.
Delivered online by University of Southampton, UK
Introduction to Multilevel Modelling Using MLwiN, R, or Stata - Online
Professor George Leckie and Professor William Browne
School of Education, University of Bristol, Helen Wodehouse Building, 35 Berkeley Square, Bristol
Conducting Ethnographic Research - Online
Dr Alice Stefanelli is a political anthropologist based at Durham University. Her research is concerned with urban green space, public participation, and the relationship between citizens and public authorities. She has several years of experience conducting and teaching ethnographic research methods, including in an interdisciplinary perspective.
Delivered online by University of Southampton, UK
Questionnaire Design for Web, Mobile Web and Mixed-mode Surveys - online
Dr. Pamela Campanelli is a survey methods specialist, chartered statistician, fellow of the Academy of Social Sciences and an international trainer, researcher and consultant who runs her own business (http://www.thesurveycoach.com/). Her background is in social statistics, survey methodology, and psychology with a special interest in questionnaire design, web surveys, cognitive interviewing, sampling and weighting, and survey analysis. In addition to providing consultancy work, she regularly teaches short courses in the UK and abroad for government departments, survey research companies, universities, as well as for various other institutions and businesses. She believes in delivering courses that are lively and engaging, foster an informal and interactive atmosphere, communicate concepts in a straightforward and accessible way and illustrate the material through the use of ‘real life’ examples.
Delivered online by University of Southampton, UK
Navigating Qualitative AI: Ethical, Methodological, and Practical Considerations - Module 1: Mindsets for considering the use of AI for Qualitative Research - Online
Dr Christina Silver, PhD. SFHEA, FAcSS is an Associate Professor (Teaching) in the Faculty of Social Sciences (Sociology) at the University of Surrey, UK, and since 2023 Director of the CAQDAS Networking Project (CNP). She joined the CNP in 1998, which from 1994 has provided impartial information, advice and training in software designed for qualitative data analysis. Christina also co-founded, with Ann Lewins, Qualitative Data Analysis Services (QDAS), which provides customised analytic consultancy for teams and individuals. Christina’s interests are in the relationship between technology and methodology, and the teaching of computer-assisted qualitative analysis. She has published widely on these topics, including co-developing the CAQDAS pedagogy: Five-Level QDA with Nicholas Woolf. She is experienced in using a range of digital tools to enact methods across academic disciplines, and in applied, government and commercial contexts. Christina’s recent work has focused on enabling researchers to navigate the terrain of Artificial Intelligence (AI) in qualitative research encouraging balanced and critical perspectives about its potential role. This includes when the use of AI, particularly generative forms, is not appropriate, and when it might be. Christina is widely seen as a leading voice on methodologically-informed use of CAQDAS-packages and balanced and critical engagement with the implications of Generative-AI on qualitative research
Delivered online by University of Southampton, UK
Navigating Qualitative AI: Ethical, Methodological and Practical Considerations - Online
Dr Christina Silver, PhD. SFHEA, FAcSS is an Associate Professor (Teaching) in the Faculty of Social Sciences (Sociology) at the University of Surrey, UK, and since 2023 Director of the CAQDAS Networking Project (CNP). She joined the CNP in 1998, which from 1994 has provided impartial information, advice and training in software designed for qualitative data analysis. Christina also co-founded, with Ann Lewins, Qualitative Data Analysis Services (QDAS), which provides customised analytic consultancy for teams and individuals. Christina’s interests are in the relationship between technology and methodology, and the teaching of computer-assisted qualitative analysis. She has published widely on these topics, including co-developing the CAQDAS pedagogy: Five-Level QDA with Nicholas Woolf. She is experienced in using a range of digital tools to enact methods across academic disciplines, and in applied, government and commercial contexts. Christina’s recent work has focused on enabling researchers to navigate the terrain of Artificial Intelligence (AI) in qualitative research encouraging balanced and critical perspectives about its potential role. This includes when the use of AI, particularly generative forms, is not appropriate, and when it might be. Christina is widely seen as a leading voice on methodologically-informed use of CAQDAS-packages and balanced and critical engagement with the implications of Generative-AI on qualitative research
Delivered online by University of Southampton, UK
Social Network Analysis and Social Phenomena - Online
Dr Paulo Serôdio is a researcher at the Institute for Social and Economic Research (ISER), University of Essex, where he works on integrating AI into survey workflows at Understanding Society, the UK Household Longitudinal Study (UKHLS). His work focuses on the practical application of large language models and agentic AI systems to large-scale survey research infrastructure.
Delivered online by University of Southampton, UK
Navigating Qualitative AI: Ethical, Methodological and Practical Considerations - Module 2: Harnessing Generative-AI tools for qualitative analysis - Online
Dr Christina Silver, PhD. SFHEA, FAcSS is an Associate Professor (Teaching) in the Faculty of Social Sciences (Sociology) at the University of Surrey, UK, and since 2023 Director of the CAQDAS Networking Project (CNP). She joined the CNP in 1998, which from 1994 has provided impartial information, advice and training in software designed for qualitative data analysis. Christina also co-founded, with Ann Lewins, Qualitative Data Analysis Services (QDAS), which provides customised analytic consultancy for teams and individuals. Christina’s interests are in the relationship between technology and methodology, and the teaching of computer-assisted qualitative analysis. She has published widely on these topics, including co-developing the CAQDAS pedagogy: Five-Level QDA with Nicholas Woolf. She is experienced in using a range of digital tools to enact methods across academic disciplines, and in applied, government and commercial contexts. Christina’s recent work has focused on enabling researchers to navigate the terrain of Artificial Intelligence (AI) in qualitative research encouraging balanced and critical perspectives about its potential role. This includes when the use of AI, particularly generative forms, is not appropriate, and when it might be. Christina is widely seen as a leading voice on methodologically-informed use of CAQDAS-packages and balanced and critical engagement with the implications of Generative-AI on qualitative research
Delivered online by University of Southampton, UK
Building Constellations of Creative and Participatory Research - Online
Dr Linzi Ladlow, Senior Research Fellow from the University of Lincoln, and Dr Laura Way, Senior Lecturer from the University of Roehampton are experienced in engaging with creative and participatory research and facilitating training. They are editors of the book, Insights into Creative and Participatory Research: Key Issues and Innovative Developments (2026) Policy Press.
Delivered online by University of Southampton, UK
Navigating Qualitative AI: Ethical, Methodological, and Practical Considerations - Module 1: Mindsets for considering the use of AI for Qualitative Research - Online
Dr Christina Silver, PhD. SFHEA, FAcSS is an Associate Professor (Teaching) in the Faculty of Social Sciences (Sociology) at the University of Surrey, UK, and since 2023 Director of the CAQDAS Networking Project (CNP). She joined the CNP in 1998, which from 1994 has provided impartial information, advice and training in software designed for qualitative data analysis. Christina also co-founded, with Ann Lewins, Qualitative Data Analysis Services (QDAS), which provides customised analytic consultancy for teams and individuals. Christina’s interests are in the relationship between technology and methodology, and the teaching of computer-assisted qualitative analysis. She has published widely on these topics, including co-developing the CAQDAS pedagogy: Five-Level QDA with Nicholas Woolf. She is experienced in using a range of digital tools to enact methods across academic disciplines, and in applied, government and commercial contexts. Christina’s recent work has focused on enabling researchers to navigate the terrain of Artificial Intelligence (AI) in qualitative research encouraging balanced and critical perspectives about its potential role. This includes when the use of AI, particularly generative forms, is not appropriate, and when it might be. Christina is widely seen as a leading voice on methodologically-informed use of CAQDAS-packages and balanced and critical engagement with the implications of Generative-AI on qualitative research
Delivered online by University of Southampton, UK
Introduction to Machine Learning with Scikit Learn in Python - Online
Dr Sam Mangham is a Senior Research Software Engineer with experience delivering research software training and developing software for researchers across a wide range of disciplines. His PhD is in Astrophysics.
Delivered online by University of Southampton, UK
An Introduction to Network-driven Sampling Methods - Online
Li-Chun Zhang is Professor of Social Statistics at the University of Southampton, Senior Researcher at Statistics Norway, and previously Professor of Official Statistics at the University of Oslo. He has researched and published on topics such as finite population sampling design, graph sampling, machine learning, sample survey estimation, non-response, measurement errors, small area estimation, index number calculations, editing and imputation, register-based statistics, population size estimation, statistical matching, and record linkage. He is the author of the book Graph Sampling with CRC Press.
Delivered online by University of Southampton, UK
Navigating Qualitative AI: Ethical, Methodological and Practical Considerations - Module 3: Integrating Generative-AI tools into qualitative analysis processes - Online
Dr Christina Silver, PhD. SFHEA, FAcSS is an Associate Professor (Teaching) in the Faculty of Social Sciences (Sociology) at the University of Surrey, UK, and since 2023 Director of the CAQDAS Networking Project (CNP). She joined the CNP in 1998, which from 1994 has provided impartial information, advice and training in software designed for qualitative data analysis. Christina also co-founded, with Ann Lewins, Qualitative Data Analysis Services (QDAS), which provides customised analytic consultancy for teams and individuals. Christina’s interests are in the relationship between technology and methodology, and the teaching of computer-assisted qualitative analysis. She has published widely on these topics, including co-developing the CAQDAS pedagogy: Five-Level QDA with Nicholas Woolf. She is experienced in using a range of digital tools to enact methods across academic disciplines, and in applied, government and commercial contexts. Christina’s recent work has focused on enabling researchers to navigate the terrain of Artificial Intelligence (AI) in qualitative research encouraging balanced and critical perspectives about its potential role. This includes when the use of AI, particularly generative forms, is not appropriate, and when it might be. Christina is widely seen as a leading voice on methodologically-informed use of CAQDAS-packages and balanced and critical engagement with the implications of Generative-AI on qualitative research
Delivered online by University of Southampton, UK
Qualitative Diary Methods - Online
Dr Laura Radcliffe and Dr Leighann Spencer
Delivered online by University of Liverpool
Documents as Data - Online
Dr Helen Kara FAcSS has been an independent researcher since 1999 and an independent scholar since 2011. She specialises in creative research methods, radical research ethics, and creative academic writing, and teaches doctoral students and staff at higher education institutions worldwide. Her books include Creative Research Methods: A Practical Guide (3rd edition forthcoming in Sept 2027) and Research Ethics in the Real World: Euro-Western and Indigenous Perspectives (2nd edition forthcoming in Dec 2026) for Policy Press, and Qualitative Research for Quantitative Researchers for SAGE. Helen has founded the International Creative Research Methods Conference, the Journal of Creative Research Methods, and the Independent Research Ethics Committee.
Delivered online by University of Southampton, UK
Navigating Researcher Safeguarding, Safety and Wellbeing in High Risk and Sensitive Research - Online
Dr Laura Naegler
Delivered online by University of Liverpool
Introduction to Demographic Methods - In Person
Dr Jason Hilton is an Associate Professor in Social Statistics and Data Science in the Department of Social Statistics and Demography, University of Southampton. His research focusses on estimating and forecasting the components of demographic change. He has published articles in a range of demographic and statistical journals and has worked with organisations such as the United Nations Refugee Agency (UNHCR), the Office for National Statistics (ONS), the Greater London Authority and the European Asylum Support Office (now the European Union Agency for Asylum) on population forecasting and estimation projects and problems. He is currently a member of the Office for National Statistics (ONS) National Population Projections Migration Expert Advisory Panel, and an Associate editor for the Journal of the Royal Statistical Society (Series A).
Room 2015, Building 39 University of Southampton, Highfield, Southampton, Hants, UK
