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DTSTART;TZID=Europe/London:20251107T093000
DTEND;TZID=Europe/London:20251107T123000
DTSTAMP:20260416T172222
CREATED:20250829T090641Z
LAST-MODIFIED:20250829T090641Z
UID:10000534-1762507800-1762518600@www.swdtp.ac.uk
SUMMARY:Quantum Machine Learning
DESCRIPTION:This event is part of the Specialist Training Series on Machine Learning and Data Science delivered by the South & East Network for Social Sciences Doctoral Training Partnership (SENSS). \nSENSS Specialist Training: Quantum Machine Learning\nInstructor: Dr Jan Novotny (Centre for Econometric Analysis\, Bayes Business School and Nomura International)\nTerm: Autumn 2025 \n  \nModule Outline and Aims \n  \nRecent breakthroughs in quantum computing have ushered in a transformative era in computational science\, redefining the boundaries of what is algorithmically possible. This course explores the intersection of quantum mechanics and machine learning\, offering participants a gateway into a radically new paradigm where quantum principles enable novel approaches to data processing\, optimization\, and pattern recognition. As quantum hardware continues to evolve\, understanding its theoretical foundations becomes essential for researchers poised to shape the future of intelligent systems. \nThis course introduces the principles of quantum computing\, including qubits\, entanglement\, superposition\, and quantum gates. Through a blend of theoretical lectures and hands-on exercises\, participants will gain fluency in quantum algorithms and their applications to machine learning tasks. The curriculum bridges classical and quantum machine learning frameworks\, highlighting both the conceptual shifts and practical implications of transitioning to quantum-enhanced models. \nA distinctive feature of the course is its emphasis on experiential learning. Students will engage directly with quantum programming environments and\, where possible\, run experiments on real quantum hardware. By the end of the course\, participants will not only be quantum-computing literate but also equipped to apply the cutting-edge research in quantum machine learning in their respective fields. This course is ideal for those seeking to expand their computational toolkit and explore the frontier of intelligent systems in the quantum age. \n  \nPrerequisites \nStudents are expected to have a knowledge of statistics and basic working knowledge with Python and jupyter notebooks. \n  \nSoftware \nParticipants will use Python within jupyter notebooks along the standard machine learning libraries (sci-kit) and Qiskit. \n  \nContent Outline \n\nFundamental principles of the quantum mechanics and quantum computing\nThe NISQ computers and the basic operations using quantum gates\nKey quantum algorithms\nHands-on calculations using quantum computer simulators as well as real hardware\nUsing quantum computing as an extension to the traditional machine learning toolkit\n\n  \nLearning Objectives \nBy the end of the session\, participants will be able to: \n\nUnderstand the principles of quantum computing.\nRun the quantum machine learning algorithms as a part of their machine learning workflow\nBe aware of the strengths of the quantum computing and assess the applicability for the real world problems.\n\nMain References \n\nJacquier\, Antoine\, et al. “Quantum Machine Learning and Optimisation in Finance.” Birmingham: Packt Publishing Ltd (2022).\nHastie\, Trevor\, Robert Tibshirani\, and Jerome Friedman. “The elements of statistical learning.” (2009). (online edition)\n\n  \nPlease ensure you meet the prerequisites before registering. \nSign up form: https://essex.eu.qualtrics.com/jfe/form/SV_0VVlyLJs53pL7XE \nPlease direct enquiries to: trainingmanager@senss-dtp.ac.uk
URL:https://www.swdtp.ac.uk/event-calendar/quantum-machine-learning/2025-11-07/
LOCATION:Zoom
CATEGORIES:Higher Level Training,Webinar/Seminar/Symposium
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/London:20251104T110000
DTEND;TZID=Europe/London:20251104T120000
DTSTAMP:20260416T172222
CREATED:20250919T162406Z
LAST-MODIFIED:20250919T162406Z
UID:10000549-1762254000-1762257600@www.swdtp.ac.uk
SUMMARY:Demystifying the publishing process and Open Access
DESCRIPTION:Publishing is central to being a researcher but we seldom talk about how you publish and what you need to do to look after yourself in the process. This session will talk through common routes to publishing and how to deal with\, the infamous\, Reviewer 2. Publishing your work is not just about what you say\, but how you say it. Open Access is a key part of the ‘how’ of research communication\, particularly if you’re work is supported by a funder who requires you to make your research freely available. In this webinar\, you’ll find out about the different free and paid routes to Open Access and start to think about Open Access publishing as part of broader ethical research practices. \nThe speaker for this session is Dr Kate Holmes who is an Open Access Advocacy Research Support Librarian at The University of Bristol. \nThis session is open to all interested attendees so please feel free to share widely. Attendance is free but please register to secure a place. Register on Ticket Taylor: https://buytickets.at/swdtp/1870887
URL:https://www.swdtp.ac.uk/event-calendar/demystifying-the-publishing-process-and-open-access/
CATEGORIES:Higher Level Training,Webinar/Seminar/Symposium
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/London:20251031T093000
DTEND;TZID=Europe/London:20251031T123000
DTSTAMP:20260416T172222
CREATED:20250829T090215Z
LAST-MODIFIED:20250829T090736Z
UID:10000533-1761903000-1761913800@www.swdtp.ac.uk
SUMMARY:Modelling Big Data using Autometrics
DESCRIPTION:This event is part of the Specialist Training Series on Machine Learning and Data Science delivered by the South & East Network for Social Sciences Doctoral Training Partnership (SENSS). \n  \nSENSS Specialist Training: Modelling Big Data using Autometrics\nInstructor: Dr Elisabetta Pellini (Bayes Business School)\nTerm: Autumn 2025 \n  \nModule Outline and Aims \nIn the age of big data\, researchers and analysts increasingly face challenges of model selection\, overfitting\, and interpreting complex high-dimensional datasets. This session introduces Autometrics\, a powerful econometric modelling tool designed to automate model selection in large datasets while maintaining strong statistical foundations. \nAutometrics is part of the OxMetrics suite and builds on the general-to-specific (Gets) modelling philosophy. It enables users to extract robust models from large sets of candidate variables\, making it especially suitable for empirical work in economics\, finance\, and the social sciences where theory may not fully specify the data-generating process. \nThis practical session will combine core theoretical principles with hands-on demonstrations\, using real-world data examples to illustrate how Autometrics addresses the challenges of modelling with many variables. \n  \nPrerequisites \nStudents are expected to have a knowledge of statistics (descriptive and inference) and basic econometrics. \n  \nSoftware \nParticipants will use OxMetrics during the session. Instructions for installation will be provided in advance. \n  \nContent Outline \n\nGeneral-to-specific (Gets) modelling and the problem of model selection\nAutometrics algorithm: overview and logic\nDiagnostic testing and model evaluation\nHands-on modelling with real-world big data using Autometrics\n\n  \nLearning Objectives \nBy the end of the session\, participants will be able to: \n\nUnderstand the principles behind general-to-specific model selection and how Autometrics operationalises these.\nRecognise the challenges of modelling large datasets\, including overfitting\, multicollinearity\, and irrelevant variables.\nCritically evaluate the strengths and limitations of automated model selection tools in empirical research.\n\nMain References \n\nDoornik\, J.A.\, 2009a. Autometrics\, in: J.L. Castle\, N. Shephard (Eds.)\, The Methodology and Practice of Econometrics\, Oxford University Press\, Oxford (2009)\, pp. 88–121.\nHendry\, D.F.\, and J.A. Doornik (2014). Empirical Model Discovery and Theory Evaluation. MIT Press.\nHendry\, D.F.\, and J.A. Doornik(2018). Empirical Econometric Modelling – PcGive 16: Volume I. Timberlake Consultants Press\, London.\n\nPlease ensure you meet the prerequisites before registering. \nSign up form: https://essex.eu.qualtrics.com/jfe/form/SV_9Zit5afuGNbuIfk \nPlease direct enquiries to: trainingmanager@senss-dtp.ac.uk
URL:https://www.swdtp.ac.uk/event-calendar/97349/
LOCATION:Zoom
CATEGORIES:Higher Level Training,Webinar/Seminar/Symposium
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/London:20251030T100000
DTEND;TZID=Europe/London:20251030T170000
DTSTAMP:20260416T172222
CREATED:20250916T150754Z
LAST-MODIFIED:20250916T150754Z
UID:10000545-1761818400-1761843600@www.swdtp.ac.uk
SUMMARY:SWDTP Conference - Everyday and Beyond: Encountering\, Sharing\, Caring
DESCRIPTION:The SWDTP Annual Student Conference is an event created for students\, by students. It presents a fantastic opportunity to engage in a dynamic and inclusive platform that promotes innovative ideas and critical reflections on the future of social sciences. \n  \nThis year’s conference theme is: \nEveryday and Beyond- Encountering\, Sharing\, Caring. \n  \nThis conference involves plenary and breakout sessions. Please navigate to the Conference Agenda to read more about the sessions\, as you will have to indicate your preferences as part of the registration form. \n  \nAgenda: https://www.swdtp.ac.uk/swdtp-student-conference-agenda-2025/ \n  \nWe are pleased to invite all social science research students (whether funded by the SWDTP or not) to register to this free event\, being held in the Commons Building of Bath Spa University on Thursday October 30th 2025.
URL:https://www.swdtp.ac.uk/event-calendar/swdtp-conference-everyday-and-beyond-encountering-sharing-caring/
CATEGORIES:Conference
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/London:20251029T090000
DTEND;TZID=Europe/London:20251029T170000
DTSTAMP:20260416T172222
CREATED:20250918T100518Z
LAST-MODIFIED:20250918T100518Z
UID:10000547-1761728400-1761757200@www.swdtp.ac.uk
SUMMARY:Justice beyond Criminal Justice
DESCRIPTION:A one-day\, in-person symposium bringing together academics from across the social sciences to explore the justice processes that sit outside of the formal criminal justice system\, used in response to serious harm and injury.\n\nThis event is a collaboration between the Criminology Research Group at the University of Bath\, the SWDTP\, and the British Society of Criminology (South West). The keynote speaker is Professor Richard Moorhead (University of Exeter)\, who will be sharing his research on the Post Office IT Horizon Inquiry. The event also incorporates panels for oral presentations\, as well as a parallel poster and art-work exhibition session. There will be an optional training session for attendees to learn more about the ethics and practicalities of using images in and for research\, as well as their role in engaging non-academic audiences. There is a fund available to support those who are interested in producing high-quality photographic images to display at this event.\n\nThis event is organised by colleagues at the University of Bath\, and supported in part by the SWDTP academic-led higher level training fund.\n\nKey dates:\nAbstract submission deadline: 30 September\nAttendee registration deadline: 6 October\nSymposium: 29 October\n\nFurther information\, abstract submission instructions and registration: https://www.eventbrite.co.uk/e/justice-beyond-criminal-justice-tickets-1606523477969?aff=oddtdtcreator\nPlease direct enquiries to the symposium organisers.
URL:https://www.swdtp.ac.uk/event-calendar/justice-beyond-criminal-justice/
LOCATION:University of Bath\, 8 West Room 2.23\, Bath\, BA2 7AY\, United Kingdom
CATEGORIES:Training,Webinar/Seminar/Symposium
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/London:20251024T093000
DTEND;TZID=Europe/London:20251024T123000
DTSTAMP:20260416T172222
CREATED:20250829T085505Z
LAST-MODIFIED:20250829T090648Z
UID:10000532-1761298200-1761309000@www.swdtp.ac.uk
SUMMARY:Introduction to Machine Learning and Data Science
DESCRIPTION:This event is part of the Specialist Training Series on Machine Learning and Data Science delivered by the South & East Network for Social Sciences Doctoral Training Partnership (SENSS). \nSENSS Specialist Training: Introduction to Machine Learning and Data Science\nInstructor: Dr Elisabetta Pellini (Bayes Business School)\nTerm: Autumn 2025 \n  \nModule Outline and Aims \nIn today’s global and digital economic environment\, we have unprecedented access to vast amounts of data across all types of industries. It has become crucial for researchers and professionals to possess analytical skills that enable data-driven decision-making. Data science is the practice of collecting\, analysing\, and interpreting data that empowers decision-makers to make informed choices. \nThis module provides both theoretical foundations and practical skills necessary to apply machine learning and data science methods to problems in economics and finance. Theoretical concepts will be introduced in an intuitive and accessible manner. Emphasis will be placed on selecting appropriate methods for specific problems\, implementing methods correctly and presenting and interpreting analytical results \nLectures will include practical\, computer-based exercises using real-world datasets. Students will learn to use Python to carry out these tasks. \n  \nPrerequisites \nStudents are expected to have a knowledge of statistics (descriptive and inference) and basic Python knowledge (e.g.\, libraries NumPy\, Pandas\, statsmodels). \n  \nSoftware \nParticipants will use Jupyter Notebooks during the sessions for hands-on modelling demonstrations. The easiest way to access Jupyter is by installing the Anaconda Distribution\, which includes Python\, Jupyter\, and most of the required libraries. Anaconda can be downloaded here: https://www.anaconda.com/products/distribution \n  \nContent Outline \n\nLinear Regression\n\nModel assumptions\nGoodness of fit\nPrediction\nDiagnostic analysis\n\n\nLinear Model Selection\n\nBias-variance trade-off\nCross-validation\nSubset selection\nRidge Regression\nLASSO\n\n\nDimensionality Reduction\n\nPrincipal Component Analysis (PCA)\nPCA in regression contexts\n\n\nApplications in Python\n\nHands-on implementation using Python libraries such as pandas\, scikit-learn\, and statsmodels\n\n\n\nLearning Objectives \nBy the end of this module\, you will be able to: \n\nExplain the fundamental principles of linear regression\, including model assumptions\, coefficient estimation\, and diagnostic analysis.\nCompare and apply model selection techniques\, including subset selection\, Ridge Regression\, and LASSO.\nUnderstand and implement dimensionality reduction techniques\, particularly Principal Component Analysis\, and assess their impact on regression models.\nCritically assess the suitability of different machine learning methods for solving specific problems and justify methodological choices.\nUse Python programming tools and libraries (e.g.\, pandas\, scikit-learn\, statsmodels) to perform data analysis and apply machine learning methods to real-world datasets.\n\nMain References \n\nJames\, G.\, Witten\, D.\, Hastie\, T.\, & Tibshirani\, R. (2023). An Introduction to Statistical Learning with Applications in Python. Springer.\nMcKinney\, W. (2018). Python for Data Analysis: Data Wrangling with Pandas\, NumPy\, and IPython (2nd ed.). O’Reilly Media.\n\n  \nPlease ensure you meet the prerequisites before registering. \nSign up form: https://essex.eu.qualtrics.com/jfe/form/SV_2n2VMaHX4Ahh7wy \nPlease direct enquiries to: trainingmanager@senss-dtp.ac.uk
URL:https://www.swdtp.ac.uk/event-calendar/introduction-to-machine-learning-and-data-science/2025-10-24/
LOCATION:Zoom
CATEGORIES:Higher Level Training,Webinar/Seminar/Symposium
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/London:20251023T100000
DTEND;TZID=Europe/London:20251023T130000
DTSTAMP:20260416T172222
CREATED:20250819T142058Z
LAST-MODIFIED:20250819T142058Z
UID:10000527-1761213600-1761224400@www.swdtp.ac.uk
SUMMARY:Logical Foundations of Critical Thinking
DESCRIPTION:At the heart of critical thinking is the ability to reason well. When we reason\, our aim is to identify beliefs or actions which are supported by current mental states of ours. This course will consider different ways in which beliefs can be supported by other beliefs as well as different ways in which actions can be supported by beliefs and other mental states. \nWe will look at two types of reasoning about what to believe: deductive reasoning and inductive reasoning. In good deductive reasoning\, the beliefs functioning as premises provide total support for the conclusion; the truth of the premises guarantees the truth of the conclusion. In contrast\, in good inductive reasoning\, the premises only provide a high degree of support for the conclusion; the conclusion could be false even if the premises are true. We will discuss different conceptions of good deductive and inductive inferences. \nIn the area of reasoning about what to do\, we will consider means-end reasoning\, decision theory and moral reasoning. We will ask what legitimate role mental states like desires or emotions can play in such reasoning. \n  \nPlaces will be allocated on a first-come\, first-served basis\, and once places are full\, we will maintain a waiting list. \nPlease only register if you are certain of your availability and commitment to attend. \n  \nThis event is not delivered by the SWDTP. For enquiries\, please contact granduniondtp@socsci.ox.ac.uk
URL:https://www.swdtp.ac.uk/event-calendar/logical-foundations-of-critical-thinking/
LOCATION:6 Worcester St\, Oxford OX1 2BX
CATEGORIES:Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/London:20251016T143000
DTEND;TZID=Europe/London:20251016T173000
DTSTAMP:20260416T172222
CREATED:20250829T085505Z
LAST-MODIFIED:20250829T090648Z
UID:10000531-1760625000-1760635800@www.swdtp.ac.uk
SUMMARY:Introduction to Machine Learning and Data Science
DESCRIPTION:This event is part of the Specialist Training Series on Machine Learning and Data Science delivered by the South & East Network for Social Sciences Doctoral Training Partnership (SENSS). \nSENSS Specialist Training: Introduction to Machine Learning and Data Science\nInstructor: Dr Elisabetta Pellini (Bayes Business School)\nTerm: Autumn 2025 \n  \nModule Outline and Aims \nIn today’s global and digital economic environment\, we have unprecedented access to vast amounts of data across all types of industries. It has become crucial for researchers and professionals to possess analytical skills that enable data-driven decision-making. Data science is the practice of collecting\, analysing\, and interpreting data that empowers decision-makers to make informed choices. \nThis module provides both theoretical foundations and practical skills necessary to apply machine learning and data science methods to problems in economics and finance. Theoretical concepts will be introduced in an intuitive and accessible manner. Emphasis will be placed on selecting appropriate methods for specific problems\, implementing methods correctly and presenting and interpreting analytical results \nLectures will include practical\, computer-based exercises using real-world datasets. Students will learn to use Python to carry out these tasks. \n  \nPrerequisites \nStudents are expected to have a knowledge of statistics (descriptive and inference) and basic Python knowledge (e.g.\, libraries NumPy\, Pandas\, statsmodels). \n  \nSoftware \nParticipants will use Jupyter Notebooks during the sessions for hands-on modelling demonstrations. The easiest way to access Jupyter is by installing the Anaconda Distribution\, which includes Python\, Jupyter\, and most of the required libraries. Anaconda can be downloaded here: https://www.anaconda.com/products/distribution \n  \nContent Outline \n\nLinear Regression\n\nModel assumptions\nGoodness of fit\nPrediction\nDiagnostic analysis\n\n\nLinear Model Selection\n\nBias-variance trade-off\nCross-validation\nSubset selection\nRidge Regression\nLASSO\n\n\nDimensionality Reduction\n\nPrincipal Component Analysis (PCA)\nPCA in regression contexts\n\n\nApplications in Python\n\nHands-on implementation using Python libraries such as pandas\, scikit-learn\, and statsmodels\n\n\n\nLearning Objectives \nBy the end of this module\, you will be able to: \n\nExplain the fundamental principles of linear regression\, including model assumptions\, coefficient estimation\, and diagnostic analysis.\nCompare and apply model selection techniques\, including subset selection\, Ridge Regression\, and LASSO.\nUnderstand and implement dimensionality reduction techniques\, particularly Principal Component Analysis\, and assess their impact on regression models.\nCritically assess the suitability of different machine learning methods for solving specific problems and justify methodological choices.\nUse Python programming tools and libraries (e.g.\, pandas\, scikit-learn\, statsmodels) to perform data analysis and apply machine learning methods to real-world datasets.\n\nMain References \n\nJames\, G.\, Witten\, D.\, Hastie\, T.\, & Tibshirani\, R. (2023). An Introduction to Statistical Learning with Applications in Python. Springer.\nMcKinney\, W. (2018). Python for Data Analysis: Data Wrangling with Pandas\, NumPy\, and IPython (2nd ed.). O’Reilly Media.\n\n  \nPlease ensure you meet the prerequisites before registering. \nSign up form: https://essex.eu.qualtrics.com/jfe/form/SV_2n2VMaHX4Ahh7wy \nPlease direct enquiries to: trainingmanager@senss-dtp.ac.uk
URL:https://www.swdtp.ac.uk/event-calendar/introduction-to-machine-learning-and-data-science/2025-10-16/
LOCATION:Zoom
CATEGORIES:Higher Level Training,Webinar/Seminar/Symposium
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/London:20251015T180000
DTEND;TZID=Europe/London:20251015T193000
DTSTAMP:20260416T172222
CREATED:20250901T172248Z
LAST-MODIFIED:20250901T172248Z
UID:10000542-1760551200-1760556600@www.swdtp.ac.uk
SUMMARY:Tackling the World-Wide Gambling Epidemic. What Can We Learn from Africa?
DESCRIPTION:The lecture is themed around the important topic: “Tackling the World-Wide Gambling Epidemic. What Can We Learn from Africa?”\nThis is a Public Lecture hosted by the Bristol Hub for Gambling Harms Research at the University of Bristol.\nGambling is a growing public health issue across the globe.\nThe global gambling industry is worth around $580bn – that’s bigger than the GDP of 86% of countries on our planet. But its human cost is vast. Millions of people worldwide experience serious harms\, from financial hardship and relationship breakdown to mental health problems and suicide. Smartphones have turned gambling into a 24/7 activity across the globe.\nJoin us for an insightful evening exploring innovative\, community-driven approaches to reducing gambling harm\, with a focus on powerful learnings from African research projects funded by the Bristol Hub.\nThe evening will start with a vibrant music video co-created and produced with young people affected by gambling harms in Uganda\, followed by a talk on the effects it has had on youth communities.\nThis will be followed by a panel discussion\, featuring researchers from Uganda\, Nigeria\, Namibia\, Kenya\, and South Africa\, alongside Professor Agnes Nairn from the University of Bristol.\nThis event will uncover:\n\n\nHow creative and digital tools can engage young people in awareness of gambling harms\n\n\nThe role of gambling in migration and university settings\n\n\nAdvertising’s influence in African sport and media\n\n\nDissemination of gambling messaging\n\n\nWhat the UK can learn from these diverse African perspectives\n\n\n\nWe’d love for you to join us for this important conversation. We anticipate high interest\, so please register as soon as possible to secure a place.\n\nMore details on the event can be found here\nFor queries\, email: gambling-harms@bristol.ac.uk\n\n\nThis event is kindly sponsored by Bristol Collegiate Research Society: The Bristol Collegiate Research Society is a charity committed to supporting an annual academic research symposium in the University of Bristol. The Society was founded in 1899 by a group of Bristol citizens who wished to assist University College Bristol gain a Royal Charter and become the University of Bristol. 
URL:https://www.swdtp.ac.uk/event-calendar/tackling-the-world-wide-gambling-epidemic-what-can-we-learn-from-africa/
LOCATION:Great Hall\, Wills Memorial Buildng\, University of Bristol\, Queen's Road\, Bristol\, BS8 1RJ
CATEGORIES:Webinar/Seminar/Symposium
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/London:20251010T093000
DTEND;TZID=Europe/London:20251010T123000
DTSTAMP:20260416T172222
CREATED:20250829T085505Z
LAST-MODIFIED:20250829T090648Z
UID:10000530-1760088600-1760099400@www.swdtp.ac.uk
SUMMARY:Introduction to Machine Learning and Data Science
DESCRIPTION:This event is part of the Specialist Training Series on Machine Learning and Data Science delivered by the South & East Network for Social Sciences Doctoral Training Partnership (SENSS). \nSENSS Specialist Training: Introduction to Machine Learning and Data Science\nInstructor: Dr Elisabetta Pellini (Bayes Business School)\nTerm: Autumn 2025 \n  \nModule Outline and Aims \nIn today’s global and digital economic environment\, we have unprecedented access to vast amounts of data across all types of industries. It has become crucial for researchers and professionals to possess analytical skills that enable data-driven decision-making. Data science is the practice of collecting\, analysing\, and interpreting data that empowers decision-makers to make informed choices. \nThis module provides both theoretical foundations and practical skills necessary to apply machine learning and data science methods to problems in economics and finance. Theoretical concepts will be introduced in an intuitive and accessible manner. Emphasis will be placed on selecting appropriate methods for specific problems\, implementing methods correctly and presenting and interpreting analytical results \nLectures will include practical\, computer-based exercises using real-world datasets. Students will learn to use Python to carry out these tasks. \n  \nPrerequisites \nStudents are expected to have a knowledge of statistics (descriptive and inference) and basic Python knowledge (e.g.\, libraries NumPy\, Pandas\, statsmodels). \n  \nSoftware \nParticipants will use Jupyter Notebooks during the sessions for hands-on modelling demonstrations. The easiest way to access Jupyter is by installing the Anaconda Distribution\, which includes Python\, Jupyter\, and most of the required libraries. Anaconda can be downloaded here: https://www.anaconda.com/products/distribution \n  \nContent Outline \n\nLinear Regression\n\nModel assumptions\nGoodness of fit\nPrediction\nDiagnostic analysis\n\n\nLinear Model Selection\n\nBias-variance trade-off\nCross-validation\nSubset selection\nRidge Regression\nLASSO\n\n\nDimensionality Reduction\n\nPrincipal Component Analysis (PCA)\nPCA in regression contexts\n\n\nApplications in Python\n\nHands-on implementation using Python libraries such as pandas\, scikit-learn\, and statsmodels\n\n\n\nLearning Objectives \nBy the end of this module\, you will be able to: \n\nExplain the fundamental principles of linear regression\, including model assumptions\, coefficient estimation\, and diagnostic analysis.\nCompare and apply model selection techniques\, including subset selection\, Ridge Regression\, and LASSO.\nUnderstand and implement dimensionality reduction techniques\, particularly Principal Component Analysis\, and assess their impact on regression models.\nCritically assess the suitability of different machine learning methods for solving specific problems and justify methodological choices.\nUse Python programming tools and libraries (e.g.\, pandas\, scikit-learn\, statsmodels) to perform data analysis and apply machine learning methods to real-world datasets.\n\nMain References \n\nJames\, G.\, Witten\, D.\, Hastie\, T.\, & Tibshirani\, R. (2023). An Introduction to Statistical Learning with Applications in Python. Springer.\nMcKinney\, W. (2018). Python for Data Analysis: Data Wrangling with Pandas\, NumPy\, and IPython (2nd ed.). O’Reilly Media.\n\n  \nPlease ensure you meet the prerequisites before registering. \nSign up form: https://essex.eu.qualtrics.com/jfe/form/SV_2n2VMaHX4Ahh7wy \nPlease direct enquiries to: trainingmanager@senss-dtp.ac.uk
URL:https://www.swdtp.ac.uk/event-calendar/introduction-to-machine-learning-and-data-science/2025-10-10/
LOCATION:Zoom
CATEGORIES:Higher Level Training,Webinar/Seminar/Symposium
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/London:20251009T110000
DTEND;TZID=Europe/London:20251009T180000
DTSTAMP:20260416T172222
CREATED:20250905T163924Z
LAST-MODIFIED:20250905T163924Z
UID:10000543-1760007600-1760032800@www.swdtp.ac.uk
SUMMARY:Education-focused Quantitative Research Methods Workshops Using R
DESCRIPTION:The Centre for Multilevel Modelling (CMM) at Bristol is running two education-focused quantitative research method workshops using R at the School of Education. “R Progamming for Beginners” and “An Introduction to Rasch Modelling Using R”. \nFurther details and registration instructions can be found here:  https://www.eventbrite.co.uk/e/two-cmm-hosted-quantitative-research-methods-workshops-using-r-tickets-1656870958639?aff=oddtdtcreator&_gl=1%2A1r1e1il%2A_up%2AMQ..%2A_ga%2AMTcyMTE2NzAyMC4xNzU3MDY0OTA2%2A_ga_TQVES5V6SH%2AczE3NTcwNjQ5MDYkbzEkZzAkdDE3NTcwNjQ5MDYkajYwJGwwJGgw\n\nPlease send enquiries to: ed-events@bristol.ac.uk
URL:https://www.swdtp.ac.uk/event-calendar/education-focused-quantitative-research-methods-workshops-using-r/
LOCATION:35 Berkeley Square\, Bristol\, 35 Berkeley Square\, Bristol\, BS81JA\, United Kingdom
CATEGORIES:Higher Level Training,Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/London:20251003T090000
DTEND;TZID=Europe/London:20251003T160000
DTSTAMP:20260416T172222
CREATED:20250619T084542Z
LAST-MODIFIED:20250619T084542Z
UID:10000510-1759482000-1759507200@www.swdtp.ac.uk
SUMMARY:Mediation and Moderation Analysis Using R
DESCRIPTION:This one-day course introduces the concepts and techniques of moderation and mediation analysis using R\, with a focus on social science applications. Participants will learn how to test for interaction effects (moderation) using regression models\, conduct mediation analysis using structural equation modelling and combine both approaches to explore mediated moderation. Emphasis is placed on interpretation\, visualization\, and reproducible R workflows using real-world data examples. \n\nThe course covers: \n\nA brief refresher on linear regression in R\nModeration analysis using interaction terms in regression\nProbing and visualizing interaction effects\nMediation analysis using path models\nEstimating indirect effects\nMediated moderation\nApplied examples in social sciences\nPractical coding sessions using real datasets in R\n\n\nBy the end of the course participants will: \n\nUnderstand the conceptual foundations of moderation and mediation\nConduct moderation analysis using interaction terms in R\nInterpret and visualize interaction effects\nSpecify and estimate mediation models using path analysis\nTest indirect effects and interpret mediation results\nUse SEM to explore differences in mediation across groups\nApply techniques to real-world social science datasets\n\n\nThe course includes hands-on computer workshops. Participants will use the R programming language.
URL:https://www.swdtp.ac.uk/event-calendar/mediation-and-moderation-analysis-using-r/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/London:20251002T140000
DTEND;TZID=Europe/London:20251002T150000
DTSTAMP:20260416T172222
CREATED:20250819T141247Z
LAST-MODIFIED:20250819T141247Z
UID:10000526-1759413600-1759417200@www.swdtp.ac.uk
SUMMARY:Clean Python for Reproducible Research
DESCRIPTION:This live\, practical session introduces core techniques for improving the quality and transparency of research code.\nParticipants will learn how to: \n\nWrite clearer\, modular Python scripts\nUse Git for version tracking and collaboration\nSet up reusable Jupyter Notebooks for consistent workflows\n\nNo prior experience is required. The workshop is suitable for all doctoral students using (or planning to use) Python in their research. \nPlaces will be allocated on a first-come\, first-served basis\, and once places are full\, we will maintain a waiting list. \nPlease only register if you are certain of your availability and commitment to attend. \nThis event is not delivered by the SWDTP. For enquiries\, please contact granduniondtp@socsci.ox.ac.uk
URL:https://www.swdtp.ac.uk/event-calendar/clean-python-for-reproducible-research/
CATEGORIES:Higher Level Training,Webinar/Seminar/Symposium
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/London:20250930T093000
DTEND;TZID=Europe/London:20250930T163000
DTSTAMP:20260416T172222
CREATED:20250619T084718Z
LAST-MODIFIED:20250619T084718Z
UID:10000511-1759224600-1759249800@www.swdtp.ac.uk
SUMMARY:Getting to Grips with Reflexive Thematic Analysis
DESCRIPTION:This one-day online course offers a comprehensive introduction to Reflexive Thematic Analysis (RTA)\, balancing theoretical discussion with practical exercises. The aim of this course is to open up thinking about the processes of qualitative analysis and enable participants to enact RTA in flexible\, iterative and reflexive ways as appropriate to the needs of their projects. This course is interactive\, combining discussion\, demonstration and practical exercises. \n\nThe course covers:\n• The characteristics of RTA\n• The six phases of analysis\n• Engaging in reflexive practice\n• Understanding quality in RTA\n• Tools to support the process\n• Resources for further development \n\nBy the end of the course participants will: \n\nUnderstand the characteristics of Reflexive Thematic Analysis (RTA) in comparison to other approaches\nBe able to describe and enact the six phases of RTA (familiarising\, coding\, generating initial themes\, develop and review themes\, refine\, define and name themes\, write-up)\nBe able to engage in and document reflexive practices throughout the analysis process\nUnderstand the importance of quality and what it looks like in RTA practice\nConsider the appropriateness of different tools to facilitate RTA\nKnow where to access further resources to develop RTA practice
URL:https://www.swdtp.ac.uk/event-calendar/getting-to-grips-with-reflexive-thematic-analysis/
CATEGORIES:Webinar/Seminar/Symposium
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/London:20250923T093000
DTEND;TZID=Europe/London:20250923T130000
DTSTAMP:20260416T172222
CREATED:20250730T125237Z
LAST-MODIFIED:20250730T125543Z
UID:10000522-1758619800-1758632400@www.swdtp.ac.uk
SUMMARY:Resilience Through Nature
DESCRIPTION:Join us for an intimate\, half-day Autumn Gathering designed to support PGR researchers and students navigating eco-anxiety\, climate grief\, and the pressures of academic work through creative and embodied practices in nature. Timed to align with the energies of the Autumn Equinox\, this seasonal gathering invites meditative reflection\, art\, poetry\, grounding movement\, and facilitated dialogue in the woods\, led by eco-poet and artist Hazel Streeter. \n  \nPlease check out the link below to find out more.
URL:https://www.swdtp.ac.uk/event-calendar/resilience-through-nature/
CATEGORIES:Wellbeing Group
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/London:20250918T090000
DTEND;TZID=Europe/London:20250930T170000
DTSTAMP:20260416T172222
CREATED:20250918T100743Z
LAST-MODIFIED:20250918T100743Z
UID:10000548-1758186000-1759251600@www.swdtp.ac.uk
SUMMARY:Call for abstracts: Justice beyond Criminal Justice
DESCRIPTION:A one-day\, in-person symposium bringing together academics from across the social sciences to explore the justice processes that sit outside of the formal criminal justice system\, used in response to serious harm and injury.\n\nThis event is a collaboration between the Criminology Research Group at the University of Bath\, the SWDTP\, and the British Society of Criminology (South West). The keynote speaker is Professor Richard Moorhead (University of Exeter)\, who will be sharing his research on the Post Office IT Horizon Inquiry. The event also incorporates panels for oral presentations\, as well as a parallel poster and art-work exhibition session. There will be an optional training session for attendees to learn more about the ethics and practicalities of using images in and for research\, as well as their role in engaging non-academic audiences. There is a fund available to support those who are interested in producing high-quality photographic images to display at this event.\n\nThis event is organised by colleagues at the University of Bath\, and supported in part by the SWDTP academic-led higher level training fund.\n\nKey dates:\nAbstract submission deadline: 30 September\nAttendee registration deadline: 6 October\nSymposium: 29 October\n\nFurther information\, abstract submission instructions and registration: https://www.eventbrite.co.uk/e/justice-beyond-criminal-justice-tickets-1606523477969?aff=oddtdtcreator\nPlease direct enquiries to the symposium organisers.
URL:https://www.swdtp.ac.uk/event-calendar/call-for-abstracts-justice-beyond-criminal-justice/
LOCATION:University of Bath\, 8 West Room 2.23\, Bath\, BA2 7AY\, United Kingdom
CATEGORIES:Training,Webinar/Seminar/Symposium
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/London:20250911T090000
DTEND;TZID=Europe/London:20250912T170000
DTSTAMP:20260416T172222
CREATED:20250711T142652Z
LAST-MODIFIED:20250711T142652Z
UID:10000513-1757581200-1757696400@www.swdtp.ac.uk
SUMMARY:Reactionary Politics Summer School
DESCRIPTION:Held in person 11-12/9/25 at the University of Bath \nThe summer school\, run by the Reactionary Politics Research Network\, provides PGR students and researchers\, whether in academia or beyond\, a critical space to develop essential skills for the research of reactionary politics. Sessions are led by experts on various key issues and our aim is to create an interactive environment where the participants can bring their own challenges and apply insights to their research projects. \nThis year\, sessions will be based on: \n\nUnderstanding reactionary politics (positionality\, epistemology\, intersectionality and terminology)\nPreparing for researching reactionary politics\nDoing the research\nDisseminating our research\n\nPlease note this event is not organised by the SWDTP. For enquiries\, please contact: Aurelien Mondon (a.mondon@bath.ac.uk)\, Alex Yates (ay557@bath.ac.uk) or Emmy Eklundh (eklundhe@cardiff.ac.uk) \nDeadline to apply is 15/7/2025: https://reacpol.net/summer-schools/
URL:https://www.swdtp.ac.uk/event-calendar/reactionary-politics-summer-school/
LOCATION:University of Bath\, Bath\, United Kingdom
CATEGORIES:Summer school
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/London:20250910T090000
DTEND;TZID=Europe/London:20250910T140000
DTSTAMP:20260416T172222
CREATED:20250829T083338Z
LAST-MODIFIED:20250829T093219Z
UID:10000529-1757494800-1757512800@www.swdtp.ac.uk
SUMMARY:Changing the Odds: Exploring Gambling and Gambling Harms Through Arts & Humanities
DESCRIPTION:Can history\, drama\, music and culture studies shed new light on gambling and its impact?\n\nChanging the Odds is a unique one-day symposium that puts the Arts and Humanities at the heart of the gambling harms debate. Moving beyond statistics and surveys\, this event will explore the stories\, meanings and creative responses that shape how gambling is understood across time and place. \nThe programme brings together leading researchers\, artists and performers to share fresh perspectives – from the gendered history of Australian sports betting to the complex role of lotteries in sixteenth century Florence. Highlights include two live drama performances by Moveable Type Theatre\, Film Director Melanie Manchot showing and talking about her recent film Stephen and an interactive discussion session with experts to spark new ideas and collaborations. \n\nWhat to expect:\n\nInspiring talks by:\n\nProfessor Evelyn Welch\, Vice-Chancellor and President\, University of Bristol (Lotteries in Early Modern Italy)\nProfessor Martin Hurcombe\, Professor of French Studies\, University of Bristol (A Brief History of How Sports and Gambling are Intertwined)\nRohann Irving\, University of Queensland (Sport\, Gambling and Masculinity: A Gendered History of Australian Sports Betting)\nSharon Martin\, University of Bristol (What Role can Songwriting play in the Lived Experience of Gambling Harms?)\n\n\nTwo live performances by Moveable Type Theatre exploring gambling through drama\nFilm Director Melanie Manchot showing and talking about her recent film Stephen\nLively Q&A sessions and a collaborative discussion\nOpportunities to connect over coffee and lunch\n\nWhether you’re a researcher\, practitioner or simply curious about how the arts can deepen our understanding of gambling\, this symposium promises lively debate\, creative inspiration and fresh insights.\n\nFind out more and register today – spaces are limited!\n\nPlease direct enquiries to gambling-harms@bristol.ac.uk
URL:https://www.swdtp.ac.uk/event-calendar/changing-the-odds-exploring-gambling-and-gambling-harms-through-arts-humanities/
LOCATION:Humanities Research Space (Room H20)\, Arts Complex\, University of Bristol
CATEGORIES:Webinar/Seminar/Symposium
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/London:20250829T000000
DTEND;TZID=Europe/London:20250829T235959
DTSTAMP:20260416T172222
CREATED:20250722T112421Z
LAST-MODIFIED:20250722T112421Z
UID:10000521-1756425600-1756511999@www.swdtp.ac.uk
SUMMARY:Walking and Working Group – Fridays in July & August
DESCRIPTION:Walking and Working Group – Fridays in July & August \nSummer can often feel quieter and more isolating\, and sometimes it’s harder to focus. To support each other through the season\, we’re starting a “Walking and Working” group for July and August. \nEvery Friday at 10:00\, we’ll meet and walk together to a peaceful place to work (e.g. Double Locks)\, where we’ll spend the day writing without phones or distractions\, share lunch\, and finish with a pint before heading back. \nIt’s a chance to be productive and connect with others in a relaxed and supportive setting. \nAll PGRs welcome! \nJoin our group on WhatsApp https://chat.whatsapp.com/DacGTlIN6UX7G5cYyZiNWc
URL:https://www.swdtp.ac.uk/event-calendar/walking-and-working-group-fridays-in-july-august/2025-08-29/
CATEGORIES:Writing Retreat
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/London:20250822T000000
DTEND;TZID=Europe/London:20250822T235959
DTSTAMP:20260416T172222
CREATED:20250722T112421Z
LAST-MODIFIED:20250722T112421Z
UID:10000520-1755820800-1755907199@www.swdtp.ac.uk
SUMMARY:Walking and Working Group – Fridays in July & August
DESCRIPTION:Walking and Working Group – Fridays in July & August \nSummer can often feel quieter and more isolating\, and sometimes it’s harder to focus. To support each other through the season\, we’re starting a “Walking and Working” group for July and August. \nEvery Friday at 10:00\, we’ll meet and walk together to a peaceful place to work (e.g. Double Locks)\, where we’ll spend the day writing without phones or distractions\, share lunch\, and finish with a pint before heading back. \nIt’s a chance to be productive and connect with others in a relaxed and supportive setting. \nAll PGRs welcome! \nJoin our group on WhatsApp https://chat.whatsapp.com/DacGTlIN6UX7G5cYyZiNWc
URL:https://www.swdtp.ac.uk/event-calendar/walking-and-working-group-fridays-in-july-august/2025-08-22/
CATEGORIES:Writing Retreat
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/London:20250821T110000
DTEND;TZID=Europe/London:20250821T120000
DTSTAMP:20260416T172222
CREATED:20250818T082233Z
LAST-MODIFIED:20250818T082233Z
UID:10000525-1755774000-1755777600@www.swdtp.ac.uk
SUMMARY:UKRI Policy Internships at UKHSA - Sign up for Webinar
DESCRIPTION:UKRI Policy Internships scheme – UKRI provides an opportunity for UKRI-funded doctoral students to undertake a three-month placement at one of a selected group of influential policy organisations\, UKHSA being one of them. \nDeadline for applications to this scheme are 8th September by 4pm! \n\nWhat’s in store during the session: \n\n\nA behind-the-scenes look at UKHSA’s mission and work\nFirst hand insights from previous interns\nMeet the host teams you could be working with\nLive Q&A to answer all your burning questions\n\n\nWhy choose UKHSA for your internship? \n\n\nBe part of a multi-specialist organisation at the forefront of the UK’s health security\nWork alongside leading experts in Data Science\, AI\, Epidemiology\, Modelling\, Public Health Policy\, and Data Products\nAccess tailored learning and development opportunities\nContribute to meaningful projects with real-world impact\n\n\nWhether you’re passionate about health data\, policy\, or making a difference through research\, this is your chance to explore how your skills can help transform lives. \n\nDon’t miss out — join us and take the first step toward a placement that matters.
URL:https://www.swdtp.ac.uk/event-calendar/ukri-policy-internships-at-ukhsa-sign-up-for-webinar/
CATEGORIES:Webinar/Seminar/Symposium
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/London:20250815T000000
DTEND;TZID=Europe/London:20250815T235959
DTSTAMP:20260416T172222
CREATED:20250722T112421Z
LAST-MODIFIED:20250722T112421Z
UID:10000519-1755216000-1755302399@www.swdtp.ac.uk
SUMMARY:Walking and Working Group – Fridays in July & August
DESCRIPTION:Walking and Working Group – Fridays in July & August \nSummer can often feel quieter and more isolating\, and sometimes it’s harder to focus. To support each other through the season\, we’re starting a “Walking and Working” group for July and August. \nEvery Friday at 10:00\, we’ll meet and walk together to a peaceful place to work (e.g. Double Locks)\, where we’ll spend the day writing without phones or distractions\, share lunch\, and finish with a pint before heading back. \nIt’s a chance to be productive and connect with others in a relaxed and supportive setting. \nAll PGRs welcome! \nJoin our group on WhatsApp https://chat.whatsapp.com/DacGTlIN6UX7G5cYyZiNWc
URL:https://www.swdtp.ac.uk/event-calendar/walking-and-working-group-fridays-in-july-august/2025-08-15/
CATEGORIES:Writing Retreat
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/London:20250812T100000
DTEND;TZID=Europe/London:20250812T120000
DTSTAMP:20260416T172222
CREATED:20250722T111141Z
LAST-MODIFIED:20250722T111141Z
UID:10000515-1754992800-1755000000@www.swdtp.ac.uk
SUMMARY:Presentation Summer Camp
DESCRIPTION:We’re going to run our two most popular workshops over the summer and help you become a better presenter ahead of the next academic year. \n​\nSo if you are starting teaching\, going to conferences for the first time\, want to explore new and creative ways to communicate your research\, then this is for you. \n  \n  \nFor more information\, please follow the link below.
URL:https://www.swdtp.ac.uk/event-calendar/presentation-summer-camp/2025-08-12/
LOCATION:Zoom
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/London:20250808T000000
DTEND;TZID=Europe/London:20250808T235959
DTSTAMP:20260416T172222
CREATED:20250722T112421Z
LAST-MODIFIED:20250722T112421Z
UID:10000518-1754611200-1754697599@www.swdtp.ac.uk
SUMMARY:Walking and Working Group – Fridays in July & August
DESCRIPTION:Walking and Working Group – Fridays in July & August \nSummer can often feel quieter and more isolating\, and sometimes it’s harder to focus. To support each other through the season\, we’re starting a “Walking and Working” group for July and August. \nEvery Friday at 10:00\, we’ll meet and walk together to a peaceful place to work (e.g. Double Locks)\, where we’ll spend the day writing without phones or distractions\, share lunch\, and finish with a pint before heading back. \nIt’s a chance to be productive and connect with others in a relaxed and supportive setting. \nAll PGRs welcome! \nJoin our group on WhatsApp https://chat.whatsapp.com/DacGTlIN6UX7G5cYyZiNWc
URL:https://www.swdtp.ac.uk/event-calendar/walking-and-working-group-fridays-in-july-august/2025-08-08/
CATEGORIES:Writing Retreat
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/London:20250807T100000
DTEND;TZID=Europe/London:20250807T120000
DTSTAMP:20260416T172222
CREATED:20250722T111141Z
LAST-MODIFIED:20250722T111141Z
UID:10000514-1754560800-1754568000@www.swdtp.ac.uk
SUMMARY:Presentation Summer Camp
DESCRIPTION:We’re going to run our two most popular workshops over the summer and help you become a better presenter ahead of the next academic year. \n​\nSo if you are starting teaching\, going to conferences for the first time\, want to explore new and creative ways to communicate your research\, then this is for you. \n  \n  \nFor more information\, please follow the link below.
URL:https://www.swdtp.ac.uk/event-calendar/presentation-summer-camp/2025-08-07/
LOCATION:Zoom
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/London:20250801T000000
DTEND;TZID=Europe/London:20250801T235959
DTSTAMP:20260416T172222
CREATED:20250722T112421Z
LAST-MODIFIED:20250722T112421Z
UID:10000517-1754006400-1754092799@www.swdtp.ac.uk
SUMMARY:Walking and Working Group – Fridays in July & August
DESCRIPTION:Walking and Working Group – Fridays in July & August \nSummer can often feel quieter and more isolating\, and sometimes it’s harder to focus. To support each other through the season\, we’re starting a “Walking and Working” group for July and August. \nEvery Friday at 10:00\, we’ll meet and walk together to a peaceful place to work (e.g. Double Locks)\, where we’ll spend the day writing without phones or distractions\, share lunch\, and finish with a pint before heading back. \nIt’s a chance to be productive and connect with others in a relaxed and supportive setting. \nAll PGRs welcome! \nJoin our group on WhatsApp https://chat.whatsapp.com/DacGTlIN6UX7G5cYyZiNWc
URL:https://www.swdtp.ac.uk/event-calendar/walking-and-working-group-fridays-in-july-august/2025-08-01/
CATEGORIES:Writing Retreat
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/London:20250730T080000
DTEND;TZID=Europe/London:20250915T170000
DTSTAMP:20260416T172222
CREATED:20250730T142613Z
LAST-MODIFIED:20250730T152946Z
UID:10000524-1753862400-1757955600@www.swdtp.ac.uk
SUMMARY:Call for Abstracts: Data Analysis Webinar
DESCRIPTION:Deadline: 15 September 2025\n\nDo you have a story to share about how you did data analysis for your research in the social sciences?\n\nThe SWDTP is planning a series of webinars on data analysis in the 2025-6 academic year\, featuring presentations by researchers\, including doctoral researchers\, about how they analysed their data. We are interested in all kinds of data\, methods\, and all aspects of data analysis. In addition to the successes\, we also want to put a spotlight on the nitty-gritty details – the challenges\, frustrations\, surprises and change of plans that came with your journey.\n\nOur webinars are well attended by students and academic colleagues from across the SWDTP\, and often from institutions beyond. Your contribution will help paint a realistic picture of what conducting data analysis could look like\, and will help PGRs be better informed about different types of data analysis\, best practices\, and challenges to anticipate.\n\nExamples (not exhaustive) of the kind of questions we anticipate exploring through the webinar…\n\n – How did conducting a pilot study help with developing your methods?\n – What were the challenges of handling ethnographic data or data collected through participatory and/or creative methods?\n – Was writing part of your data analysis process?\n – Did you use AI or other software tools to help make sense of messy data?\n – How did you clean and prepare large datasets? What were the decisions you had to make along the way?\n – What ethical issues did you encounter during data analysis and how did you manage these?\n\nWe are hoping for a large number of short presentations (around 10-20 minutes each) so we can put together themed\, recorded webinars of 1 – 1.5 hour duration\, each with 2-3 presenters. We are inviting abstracts for both single presentations and complete webinars\, comprising 2-3 thematically linked presentations.\n\nIf you would like to contribute\, please email Jonathan Chow (jonathan.chow@bristol.ac.uk) with a brief abstract (100-200 words) by 15 September 2025\, including the type of data analysed and the methodology of your research. We are happy to meet to discuss an idea you are developing for a webinar.
URL:https://www.swdtp.ac.uk/event-calendar/call-for-abstracts-data-analysis-webinar/
CATEGORIES:Call,Webinar/Seminar/Symposium
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/London:20250725T000000
DTEND;TZID=Europe/London:20250725T235959
DTSTAMP:20260416T172222
CREATED:20250722T112421Z
LAST-MODIFIED:20250722T112421Z
UID:10000516-1753401600-1753487999@www.swdtp.ac.uk
SUMMARY:Walking and Working Group – Fridays in July & August
DESCRIPTION:Walking and Working Group – Fridays in July & August \nSummer can often feel quieter and more isolating\, and sometimes it’s harder to focus. To support each other through the season\, we’re starting a “Walking and Working” group for July and August. \nEvery Friday at 10:00\, we’ll meet and walk together to a peaceful place to work (e.g. Double Locks)\, where we’ll spend the day writing without phones or distractions\, share lunch\, and finish with a pint before heading back. \nIt’s a chance to be productive and connect with others in a relaxed and supportive setting. \nAll PGRs welcome! \nJoin our group on WhatsApp https://chat.whatsapp.com/DacGTlIN6UX7G5cYyZiNWc
URL:https://www.swdtp.ac.uk/event-calendar/walking-and-working-group-fridays-in-july-august/2025-07-25/
CATEGORIES:Writing Retreat
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/London:20250717T100000
DTEND;TZID=Europe/London:20250718T160000
DTSTAMP:20260416T172222
CREATED:20250702T135331Z
LAST-MODIFIED:20250702T135331Z
UID:10000512-1752746400-1752854400@www.swdtp.ac.uk
SUMMARY:From Theory to Practice: Participatory Methods for Doctoral Students
DESCRIPTION:Are you interested in making your research more inclusive\, impactful\, and grounded in lived experience? This two-day interactive workshop\, offered as part of the Grand Union Doctoral Training Partnership introduces doctoral students to the theory and practice of participatory research methods.\n\nThrough real-world case studies\, hands-on activities\, and space for peer discussion\, you’ll gain practical tools for building trust\, navigating power dynamics\, and co-producing knowledge with a particular focus on the multiple “choice points” throughout the doctoral research process which can be enhanced through participatory engagement.\n\nWhether you are thinking about employing qualitative or quantitative methods for your PhD project this two day workshop is designed specifically for doctoral students working across disciplines in the social sciences with the specific aim of supporting you in thinking creatively and reflexively about the practical application of participatory methods. No prior experience in participatory methods is necessary.
URL:https://www.swdtp.ac.uk/event-calendar/from-theory-to-practice-participatory-methods-for-doctoral-students/
LOCATION:6 Worcester St\, Oxford OX1 2BX
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/London:20250703T100000
DTEND;TZID=Europe/London:20250703T120000
DTSTAMP:20260416T172222
CREATED:20250310T095950Z
LAST-MODIFIED:20250310T095950Z
UID:10000505-1751536800-1751544000@www.swdtp.ac.uk
SUMMARY:Storytelling for Social Science Researchers
DESCRIPTION:Discover how storytelling can transform your social science research communication. While rigorous research is essential\, effectively sharing your findings with academic peers\, policymakers\, and the public requires additional skills. This workshop explores how narrative techniques can make your research more accessible\, compelling\, and memorable. \nThis session will help you: \n\nUnderstand why stories are effective engagement tools\nKnow when to use storytelling for the most impact\nAppreciate which stories are engaging and why\nFind structures to help you frame and explore your work in different contexts\n\nWith practical exercises\, examples\, and tools\, you’ll learn to change the way you think about research communication and how it can be done. This interactive workshop provides techniques you can immediately apply to different areas\, including presentations and writing.
URL:https://www.swdtp.ac.uk/event-calendar/storytelling-for-social-science-researchers/
LOCATION:Zoom
CATEGORIES:Webinar/Seminar/Symposium
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