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BEGIN:VEVENT
DTSTART;TZID=Europe/London:20251107T093000
DTEND;TZID=Europe/London:20251107T123000
DTSTAMP:20260620T163019
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:20260620T163019
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:20260620T163019
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:20251024T093000
DTEND;TZID=Europe/London:20251024T123000
DTSTAMP:20260620T163019
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:20251016T143000
DTEND;TZID=Europe/London:20251016T173000
DTSTAMP:20260620T163019
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:20251010T093000
DTEND;TZID=Europe/London:20251010T123000
DTSTAMP:20260620T163019
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:20260620T163019
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:20251002T140000
DTEND;TZID=Europe/London:20251002T150000
DTSTAMP:20260620T163019
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:20250520T110000
DTEND;TZID=Europe/London:20250520T120000
DTSTAMP:20260620T163019
CREATED:20250507T152340Z
LAST-MODIFIED:20250507T152340Z
UID:10000507-1747738800-1747742400@www.swdtp.ac.uk
SUMMARY:Introducing Critical Interpretive Synthesis: a systematic\, inclusive and generative approach to reviewing the literature
DESCRIPTION:This session introduces critical interpretive synthesis (CIS) as a systematic approach to collating\, reviewing and synthesising a diverse body of research evidence. CIS aims to produce fresh insights on an issue of concern\, drawing on techniques that are common in qualitative inquiry\, such as the ongoing refinement of research questions and an iterative process of data collection and analysis. I will share my own experiences of using CIS in solo and collaborative projects in the field of education (Mitchell\, 2025). In this interactive session we will consider CIS in relation to other approaches to systematic review\, comparing their logics and processes. We will consider the affordances and challenges of using CIS in a doctoral research project\, and strategies for incorporating CIS within your own work. \nThis session is hosted by Dr Rafael Mitchell\, Senior Lecturer in Comparative and International Education\, and co-director of the Centre for Comparative and International Research in Education (CIRE) at the University of Bristol. \nReference: Mitchell\, R. (2025). Using critical interpretive synthesis (CIS) for theoretical development: Mobilising African education research. In Sage Research Methods Cases Part 1. SAGE Publications\, Ltd.\, https://doi.org/10.4135/9781071984185 \nRegistration: https://www.tickettailor.com/events/swdtp/1651269
URL:https://www.swdtp.ac.uk/event-calendar/introducing-critical-interpretive-synthesis-a-systematic-inclusive-and-generative-approach-to-reviewing-the-literature/
CATEGORIES:Higher Level Training,Webinar/Seminar/Symposium
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/London:20250512T110000
DTEND;TZID=Europe/London:20250512T120000
DTSTAMP:20260620T163019
CREATED:20250507T151858Z
LAST-MODIFIED:20250507T152424Z
UID:10000506-1747047600-1747051200@www.swdtp.ac.uk
SUMMARY:Making your literature review count
DESCRIPTION:The literature review is a key part of your doctoral thesis. It takes time to develop and builds an original argument. So\, why not make it available to others by turning it into a peer-reviewed publication? In this session of our Conducting Literature Reviews webinar series\, two early career researchers (ECRs) will talk about how they used their literature reviews in publications and gain recognition in their field. \nDr Nasrul Ismail is Senior Lecturer in Criminology in the School for Policy Studies at the University of Bristol. He is a co-editor of Justice\, Power and Resistance (Bristol University Press) and also serves on the International Advisory Board for the International Journal of Prison Health. Nasrul also happens to be an SWDTP alumnus.\nDr Freya Wise is an SWDTP-awarded ESRC Research Fellow at UWE Bristol in the Centre for Advanced Built Environment Research (CABER) and a Visiting Fellow at The Open University. \nRegistration: https://www.tickettailor.com/events/swdtp/1651287
URL:https://www.swdtp.ac.uk/event-calendar/making-your-literature-review-count/
CATEGORIES:Higher Level Training,Webinar/Seminar/Symposium
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/London:20250403T110000
DTEND;TZID=Europe/London:20250403T120000
DTSTAMP:20260620T163019
CREATED:20250307T145540Z
LAST-MODIFIED:20250307T145839Z
UID:10000502-1743678000-1743681600@www.swdtp.ac.uk
SUMMARY:Conducting a Systematic Scoping Review: Methods and Insights from a Study on the Indian Diaspora and Education
DESCRIPTION:This webinar\, part of our Conducting Literature Reviews webinar series\, explores the process of conducting a systematic scoping review. Using a worked example on education in the post-independence Indian diaspora\, the session will outline the five-stage framework of Arksey and O’Malley (2005)\, covering search strategies\, inclusion criteria\, and thematic analysis. It will also discuss challenges in refining search terms\, identifying relevant literature\, and synthesising findings. This presentation provides practical guidance for doctoral students on conducting rigorous scoping reviews and demonstrates their value in mapping research landscapes. \nThis presentation will be presented by Dr Rita Chawla-Duggan\, Associate Professor and Deputy Head of the Department of Education at The University of Bath. No interaction is expected\, but there will be Q&A during the session. \nReserve a space on our Ticket Tailor page: https://buytickets.at/swdtp/1620296
URL:https://www.swdtp.ac.uk/event-calendar/conducting-a-systematic-scoping-review-methods-and-insights-from-a-study-on-the-indian-diaspora-and-education/
CATEGORIES:Higher Level Training,Webinar/Seminar/Symposium
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/London:20250402T150000
DTEND;TZID=Europe/London:20250402T160000
DTSTAMP:20260620T163019
CREATED:20250307T145156Z
LAST-MODIFIED:20250311T095149Z
UID:10000501-1743606000-1743609600@www.swdtp.ac.uk
SUMMARY:Unlock the Power of Corpus-Based Techniques for systematic literature reviews
DESCRIPTION:Advances in computer technology made it possible to create and use large language databases often referred to as corpora in language studies. A recent development in the field is to apply corpus-based approaches to a wide range of areas beyond linguistic analysis (Pérez-Paredes\, 2021; Seale & Charteris-Black\, 2010). This interactive webinar will showcase how both quantitative and qualitative corpus analysis techniques—such as keyword analysis\, analysis of collocation (frequently co-occurring words)\, keywords in context\, and multi-word items—can be effectively utilized to identify and examine key themes for systematic literature reviews. Mastering corpus-based techniques is useful for researchers and PhD students as it allows for a more systematic and comprehensive analysis of existing literature. These skills enable participants to uncover patterns and themes that might be missed through traditional methods\, thereby enhancing the depth and rigour of research. \nThis session will be presented by Dr Reka Jablonkai\, Senior Lecturer (Associate Professor) at the Department of Education and Research Group Convenor for the Language in and for Education Research Group at The University of Bath. \nReserve a space on our Ticket Tailor page: https://buytickets.at/swdtp/1620092
URL:https://www.swdtp.ac.uk/event-calendar/unlock-the-power-of-corpus-based-techniques-for-systematic-literature-reviews/
CATEGORIES:Higher Level Training,Webinar/Seminar/Symposium
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20240306
DTEND;VALUE=DATE:20240307
DTSTAMP:20260620T163019
CREATED:20240220T160435Z
LAST-MODIFIED:20240423T155100Z
UID:10000379-1709683200-1709769599@www.swdtp.ac.uk
SUMMARY:Open House - University of Bath
DESCRIPTION:We at the SWDTP love connecting with our community and what better way than to come straight to you! The purpose of this meet-up is for students to have the chance to come and speak directly with the SWDTP team\, it need not be a PhD or academic-related discussion either\, we always love to simply see how our students are doing and help them in any way we can. \n  \nIf you’d like to book a meeting with one of us\, please do drop us an email. You can find our profiles and contact details on the Meet the Team page of our website. And don’t forget\, you don’t have to have a specific request to come along. If you’d like a catch-up and a coffee (on us)\, we’d love to see you!\n\nAlso\, I’ve been asked to remind you that the closing date for applications to get involved in the ARC Accelerator training and placement opportunity is in 2 days (Thursday 22nd February). The scheme focuses on impact\, commercialisation and researcher identity\, and you can read more about it in our January Newsletter.\nHere’s the link to apply. if you’re interested: https://forms.office.com/Pages/ResponsePage.aspx?id=d10qkZj77k6vMhM02PBKUz_XULcoLX5OtCkh72tvPpFURUNDT1hVVFI2TDJLMUhBUExGMUVaVkJUMy4u.\n 
URL:https://www.swdtp.ac.uk/event-calendar/open-house-university-of-bath/
LOCATION:University of Bath\, Bath\, United Kingdom
CATEGORIES:Higher Level Training
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20220913
DTEND;VALUE=DATE:20220915
DTSTAMP:20260620T163019
CREATED:20220609T123212Z
LAST-MODIFIED:20240509T121434Z
UID:10000354-1663027200-1663199999@www.swdtp.ac.uk
SUMMARY:NCRM: MethodsCon 2022
DESCRIPTION:MethodsCon is a wholly in-person event that will take place over two days in Manchester (UK) on 13-14 September 2022. The theme of the event is “rethinking the boundaries of methods in health and social science research”. \nFollowing two years of online delivery\, NCRM is delighted to announce a return to in-person\, live events. This innovative and cross-sector meet-up is part conference\, part learning opportunity\, part innovation incubator. It has been designed to re-connect and re-energise people with a focus on interdisciplinary perspectives on health and social science. \n\nProgramme\nThe provisional MethodsCon programme is now available. The final programme will be announced in the near future. View the provisional programme. \nSessions will be in three main formats: \n\nInteractive Seminars\nProfessional Development Workshops\nInnovation Incubators\n\n\nApplications to attend\nTo attend MethodCon\, please complete our quick online application form. You will be notified if you have been successful within two weeks of your application. \nComplete the MethodsCon application form\n  \nPlease note\, MethodsCon has been designed to maximise the collaborative and creative opportunities of people being in the same physical space. To build on this\, we are looking to ensure that those attending are interested in participating in one\, or both\, full days of participatory activities. \n\n 
URL:https://www.swdtp.ac.uk/event-calendar/ncrm-methodscon-2022/
LOCATION:etc.venues\, 11 Portland Street\, Manchester\, M1 3HU
CATEGORIES:Conference,Higher Level Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20220608T130000
DTEND;TZID=UTC:20220608T143000
DTSTAMP:20260620T163019
CREATED:20220506T121829Z
LAST-MODIFIED:20240507T124812Z
UID:10000347-1654693200-1654698600@www.swdtp.ac.uk
SUMMARY:Creative Approaches to Ethical Qualitative Research
DESCRIPTION:The Centre for Qualitative Research is running weekly online workshops for doctoral researchers funded by the South West Doctoral Training Partnership (SWDTP). This event is part of the CQRs Qualitative Innovation Series. \nFind out more about the series here\n \n  \n\nDr Shona McIntosh and Dr Rachel Wilder will discuss their recent work experimenting with creative\, inclusive and alternative ways to do ethical qualitative research. Drawing from the example of an online \nseminar series exploring methodologies for epistemic justice\, the speakers reflect on the issues of working collaboratively within hierarchical\, patriarchal and Euro-centred research traditions. They reflect on the potentials and limitations of creative approaches to foster ethical\, inclusive practice. \nThis work is underpinned by a commitment to and interest in epistemic justice theory (Fricker\, 2007) which focuses on whose knowledge is valued and whose voices are heard and listened to (e.g. Masaka\, 2019). \n  \nRegister your place here
URL:https://www.swdtp.ac.uk/event-calendar/creative-approaches-to-ethical-qualitative-research/
LOCATION:Online
CATEGORIES:Higher Level Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20220607T130000
DTEND;TZID=UTC:20220607T170000
DTSTAMP:20260620T163019
CREATED:20220429T074537Z
LAST-MODIFIED:20240509T120823Z
UID:10000345-1654606800-1654621200@www.swdtp.ac.uk
SUMMARY:Social media training for mental health research
DESCRIPTION:Are you a PhD candidate researching child and adolescent mental health and interested in improving the dissemination of your research via social media? The SWDTP is providing a half-day training course facilitated by Andre Tomlin of The Mental Elf to improve your social media skills. The course will take place at the University of Bath on the 7th June 2022 (1-5pm).  \nThe training will guide you in: \n\n\n\n\n\n\n\nBecoming familiar with the range of online tools and methods available to disseminate mental health research\, e.g.\, blogs\, social media\, podcasts\, online events.\nWorking through scenarios and reaching consensus about the best ways to build online profiles and networks in mental health.\nExploring different online communication styles and consider what works best when discussing mental health in the public domain.\nLeaving with practical examples of what to do next to take your public engagement to the next level.\n\n\n\n\n\n\n\nThere are 20 places on the training programme for students across the SWDTP network\, including 3-5 places for non-SWDTP students. Some limited travel funds are available for students who are unable to use their training support fee for travel to Bath. Please indicate on the form whether you would need financial support to attend. \n\nTo apply please complete this short survey.\n\nAs places are limited\, we ask that you only apply if you believe you will be available on the day. Applications will be open until Monday 16th May\, after which time we will get in touch to confirm if your application was successful.
URL:https://www.swdtp.ac.uk/event-calendar/social-media-training-for-mental-health-research/
LOCATION:University of Bath\, Bath\, United Kingdom
CATEGORIES:Higher Level Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20220519T130000
DTEND;TZID=UTC:20220519T143000
DTSTAMP:20260620T163019
CREATED:20220504T121446Z
LAST-MODIFIED:20240507T125034Z
UID:10000346-1652965200-1652970600@www.swdtp.ac.uk
SUMMARY:Feminist Perspectives and Methodologies
DESCRIPTION:Sign up on Eventbrite here\n\nAbout the session\nTaking inspiration from the epistemological and theoretical critiques and developments in feminisms\, feminist methods and methodologies are about more than just including women in research or women studying women. \nFeminist methods tend to offer a challenge to knowledge production itself interlinked with feminist political intent\, ethical processes\, egalitarianism\, and the examination of power\, dominance\, inequality\, or discrimination. \nThis webinar will provide an introduction to the history of feminist methods in concert with the growth of feminist thought. We illustrate both specific methodologies developed in and through feminist thought\, and how feminist thought can be brought to bear on other methods and methodologies (e.g.\, interviews\, fieldwork\, ethnography\, media studies)\, as well as on other aspects of the research process (e.g.\, ethics\, representation). \n\nFind out more about the webinar series here
URL:https://www.swdtp.ac.uk/event-calendar/feminist-perspectives-and-methodologies/
LOCATION:Online
CATEGORIES:Higher Level Training,Webinar/Seminar/Symposium
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20220512T093000
DTEND;TZID=UTC:20220512T173000
DTSTAMP:20260620T163019
CREATED:20220425T103826Z
LAST-MODIFIED:20240507T124909Z
UID:10000150-1652347800-1652376600@www.swdtp.ac.uk
SUMMARY:PGR Workshop - Narrative research: Possibilities and challenges of researching people's stories
DESCRIPTION:Sign up on Eventbrite here\n\nFull-day workshop for PGR students at UoB interested in learning\, discussing and sharing their work on narrative research. \n \n  \nNarrative research has gained popularity and relevance in diverse disciplines and has become a diverse\, complex and contested field. Multiple theoretical approaches\, methods\, strategies of analysis coexist under the term “narrative”. The workshop is designed as a space for dialogue\, integration and exchange on narrative research in order to explore the potential of this field. \nAs doctoral researchers our aim is to bring together PGR students interested or working in narrative research from different disciplines and theoretical/methodological approaches. We want to create a friendly space to share and discuss our work. \nTwo distinguished professors will be participating in the workshop: \n\n\n\nProfessor Corinne Squire\, Chair of Global Inequalities\, School for Policy Studies\, University of Bristol. Co-director Association of Narrative Research and Practice\nProfessor the Collaboration Facilitator Andrews\, Professor of Political Psychology\, University College London. Co-Director Association of Narrative Research and Practice\n\n\n\n  \nFor more information\, please contact: s.espinalmeza@bristol.ac.uk / g.hidalgobazan@bristol.ac.uk
URL:https://www.swdtp.ac.uk/event-calendar/pgr-workshop-narrative-research-possibilities-and-challenges-of-researching-peoples-stories/
LOCATION:Online
CATEGORIES:Higher Level Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20220503T090000
DTEND;TZID=UTC:20220504T120000
DTSTAMP:20260620T163019
CREATED:20220331T125452Z
LAST-MODIFIED:20240429T122321Z
UID:10000147-1651568400-1651665600@www.swdtp.ac.uk
SUMMARY:NCRM - A Friendly Introduction to Quantitative Methods
DESCRIPTION:About the event\nThe aim of this course is to introduce students and researchers who have little to no quantitative training to the key concepts in quantitative methods in an accessible way. It is targeted at those who are writing theses/papers based on qualitative or review methods but who want to include some quantitative analysis and/or to be confident when reading and incorporating quantitative research. It is particularly aimed at encouraging people who find quantitative methods intimidating or unwelcoming. For those that enjoy the course it may act as a basis for further quantitative training. \nThe course it is two mornings and will equate to one teaching day for payment purposes. \nBy the end of the course participants will: \n\n\n\n\n\nHave greater understanding of and confidence in engaging with quantitative work\nHave knowledge of the key concepts involved in quantitative analysis\nHave been introduced to key sources of data and quantitative software options\n\n\n\n\n\n\nFind out more on the NCRM website here\nReady to register?\n 
URL:https://www.swdtp.ac.uk/event-calendar/ncrm-a-friendly-introduction-to-quantitative-methods/
LOCATION:Online
CATEGORIES:Higher Level Training,Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20220412T100000
DTEND;TZID=UTC:20220614T120000
DTSTAMP:20260620T163019
CREATED:20220331T110155Z
LAST-MODIFIED:20240507T100554Z
UID:10000145-1649757600-1655208000@www.swdtp.ac.uk
SUMMARY:Centre for Qualitative Research Core Training begins
DESCRIPTION:The Centre for Qualitative Research from the University of Bath is running weekly online workshops for doctoral researchers funded by the South West Doctoral Training Partnership (SWDTP). \n\nBringing together academics from across the SWDTP institutions interested in qualitative research\, across disciplinary pathways\, to collaboratively develop and deliver a programme of bespoke training for SWDTP doctoral researchers. These SWDTP-Funded Bespoke Qualitative Training Workshops will provide practical and cross-disciplinary qualitative training to SWDTP-funded doctoral scholars and others who are interested in qualitative training\, through the collaborative resources of the SWDTP network. \n\n\n\nThe core training package focuses on from planning to product: the process of conducting qualitative research. This will consist of a series of 7 bespoke online seminars delivered fortnightly to up to 50 students by collaborators across the SWDTP universities. \nRegistration is available here\n  \n1. Where does qualitative research come from? – Tuesday 12th April\, 10am-12pm \n2. Planning and designing qualitative research – Thursday 21st April\, 10am-12pm \n3. Preparing for speaking-based data collection – Tuesday 26th April\, 10am-12pm \n4. Conducting\, improving\, and refining interviews and focus groups – Tuesday 3rd May\, 10am-12pm \n5. Analysing interview and focus group data using thematic analysis – Tuesday 10th May\, 10am-12pm \n6. Exploring the diversity of forms of qualitative analysis – Wednesday 18th May\,10am-12pm \n7. Series conclusion: Publishing qualitative research – Tuesday 14th June 2022
URL:https://www.swdtp.ac.uk/event-calendar/centre-for-qualitative-research-core-training/
LOCATION:Online
CATEGORIES:Higher Level Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20211011T100000
DTEND;TZID=UTC:20211012T160000
DTSTAMP:20260620T163019
CREATED:20210716T090955Z
LAST-MODIFIED:20240510T093836Z
UID:10000338-1633946400-1634054400@www.swdtp.ac.uk
SUMMARY:NCRM - Introducing Institutional Ethnography: An Interdisciplinary Feminist Approach to Social Research
DESCRIPTION:This workshop will introduce Institutional Ethnography (IE)\, an interdisciplinary feminist approach to social research that focuses on how texts and language organise our everyday lives. IE is not just a methodology\, but a comprehensive feminist ontology of how the social world works which advocates using a form of standpoint to explore from specific perspectives. IE research ‘takes sides’\, often researching as\, with\, and/or for\, marginalised groups who are often made invisible by\, or excluded from\, organisations and institutions.\nThe focus on texts – conceptualised as replicable materials objects that carry messages – allows IE researchers to ethnographically explore the organising power of language and institutions\, made material in institutional texts which act as bridges between different people and places. \nPresenter: Dr Orla Murray\, Dr Liz Ablett and Dr Adriana Suarez-Delucchi \nFind out more information and preparatory reading here \nThe overall aim of the workshop is to provide attendees with a comprehensive overview of institutional ethnography as an approach and the opportunity to translate their own research ideas and projects into an IE research proposal or small piece of text-focused analysis. This hands on workshop is suitable for students\, academics\, and anyone else interested in feminist methodologies\, text and discourse analysis\, and institutional or organisational ethnographies. No prior training in\, or knowledge of\, IE is required. \nThe course covers:\n\nAn overview of the work of feminist sociologist\, Dorothy Smith\, who developed Institutional Ethnography\nThree Institutional Ethnography case studies from Sociology and Human Geography\nThree text and discourse analysis methods within the Institutional Ethnography approach\nHow to translate your research ideas or projects into an Institutional Ethnography proposal/plan\n\nBy the end of the course participants will:\n\nunderstand of the origin and development of Institutional Ethnography\nknow how to use Institutional Ethnography to analyse texts\, processes\, and discourses\nhave an outline of how their research ideas could become an Institutional Ethnography project\n\nThe course is aimed at academics\, students\, any other qualitative researchers or policymakers interested in analysing organisational processes.  Participants must have at least some experience in qualitative research methods\, but no experience of Institutional Ethnography is required. \nRegister here
URL:https://www.swdtp.ac.uk/event-calendar/ncrm-introducing-institutional-ethnography-an-interdisciplinary-feminist-approach-to-social-research/
CATEGORIES:Higher Level Training,Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20210915T093000
DTEND;TZID=UTC:20210915T110000
DTSTAMP:20260620T163019
CREATED:20210414T141503Z
LAST-MODIFIED:20240509T120823Z
UID:10000135-1631698200-1631703600@www.swdtp.ac.uk
SUMMARY:SWDTP Co-Funded Webinar with ADvaNCE: Reducing depression in young people
DESCRIPTION:Link to register. \n“What are the best ways to tell young people with depression about treatment options and their effectiveness to help them feel more in control and to manage their difficulties?”\n  \nThe SWDTP is delighted to be co-funding a series of three workshops including talks by clinicians and researchers in the field\, focus group discussions and young peoples’ perspectives\, to open up new research avenues and opportunities for collaboration. These are being led by ADvaNCE (the adolescent depression network to consolidate expertise)\, a special interest research group which is passionate about reducing depression in young people. \nThe workshops are as follows: \n2nd June “What methods can be used to identify that a young person is experiencing depression?” \n8th July “What are the best early interventions for depression? And how early should they be used in order to result in the best patient outcomes?” \n15th September “What are the best ways to tell young people with depression about treatment options and their effectiveness to help them feel more in control and to manage their difficulties?” \nThe workshops are open to all PhD students and ECRs from SWDTP Universities. \nIf you are interested in attending one or more of the workshops please book your free online ticket via the link below. \nIf you are interested in hearing more about ADvaNCE and our workshops please email codevelop2advance@gmail.co.uk. To be added to the ADvaNCE mailing list\, please pop your details here:\nhttps://bathpsychology.eu.qualtrics.com/jfe/form/SV_8jPzeG3HMYF95no and also give us a follow on Twitter advance_ntwk.
URL:https://www.swdtp.ac.uk/event-calendar/swdtp-co-funded-webinar-what-are-the-best-ways-to-tell-young-people-with-depression-about-treatment-options-and-their-effectiveness-to-help-them-feel-more-in-control-and-to-manage-their-diff/
LOCATION:Online
CATEGORIES:Higher Level Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20210818T100000
DTEND;TZID=UTC:20210819T160000
DTSTAMP:20260620T163019
CREATED:20210716T083243Z
LAST-MODIFIED:20240510T090639Z
UID:10000337-1629280800-1629388800@www.swdtp.ac.uk
SUMMARY:NCRM - Random Effects Modelling - Advanced Issues
DESCRIPTION:Register here\nRandom effects models are applied in a range of social science domains (e.g. education\, health and economics). Across disciplines\, however\, they are often used for different purposes\, with different specifications\, or even with different terminologies. These differences may well reflect genuine complexities and ambiguities that are associated with their implementation. This two-day course will focus on selected advanced issues in the application of random effects models in social research contexts. It is most suited to empirical social science researchers with some previous experience in using statistical models with random effects. \nPresenter: Professor Paul Lambert \nFind more information here \nThe course will \n\nReview common uses of random effects models in the social sciences\nExplore enduring debates in the specification and exploitation of random effects models\nFacilitate virtual lab sessions designed to illustrate and investigate the contribution of random effects models\n\nParticipants will be supported in order to \n\nSecure a rigorous understanding the terminology and features associated with random effects models\nUnderstand different perspectives in important debates concerning the use of random effects\nEnhance practical skills in applying random effects models to statistical datasets\n\nParticipants should have experience of estimating statistical models including some previous experience working with random effects models\, for instance through multilevel modelling\, frailty modelling or longitudinal and panel models. \nThe participants will be invited to use their own computers in the virtual lab exercises. Participants should have at least one of the software packages Stata\, SPSS and R installed on their computers in order to participate in the virtual labs. \nThe course will be delivered on-line and run from 10:00 – 16:00 each day.
URL:https://www.swdtp.ac.uk/event-calendar/ncrm-random-effects-modelling-advanced-issues/
CATEGORIES:Higher Level Training,Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20210729T140000
DTEND;TZID=UTC:20210729T170000
DTSTAMP:20260620T163019
CREATED:20210714T121326Z
LAST-MODIFIED:20240510T090639Z
UID:10000336-1627567200-1627578000@www.swdtp.ac.uk
SUMMARY:NCRM - Introduction to quantitative time-diary analysis part 2
DESCRIPTION:If you are interested in this event\, please refer to part 1 first on the 22nd July\n  \nThis short course aims to introduce participants to time diary analysis\, a multidisciplinary field which has made a sustained contribution to social science over the last 50 years. It is targeted at academics\, doctoral students\, post-doctoral as well as public or private sector researchers interested in studying the way people spend their time throughout the day.  It requires basic to intermediate prior knowledge of statistics and basic experience with statistical programming. \nPresenter: Dr Pierre Walthéry (University College London). \nFind more information here \nThe course will take place on 22nd and 29th of July\, from 2:00pm until 5:00pm\, and each afternoon will consist of 2-3 sessions\, with a presentation followed by a computer demonstration and questions and answers. \nParticipants are invited to follow and replicate on their own computer the code demonstrated during the session. \nThe course covers: \n\nHistorical outline of time-diaries and time use research\nActivities nomenclatures\, survey designs & time diary dataset structure\nDeriving duration and participation in activities from long and wide datasets\nMultivariate analysis of aggregate time diary data\nWeekly work schedules and working time\nWeighting and accounting for clustering in time diary data\n\nRegister here
URL:https://www.swdtp.ac.uk/event-calendar/ncrm-introduction-to-quantitative-time-diary-analysis-part-2/
CATEGORIES:Higher Level Training,Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20210722T140000
DTEND;TZID=UTC:20210722T170000
DTSTAMP:20260620T163019
CREATED:20210714T120740Z
LAST-MODIFIED:20240510T090639Z
UID:10000335-1626962400-1626973200@www.swdtp.ac.uk
SUMMARY:NCRM - Introduction to quantitative time-diary analysis
DESCRIPTION:This short course aims to introduce participants to time diary analysis\, a multidisciplinary field which has made a sustained contribution to social science over the last 50 years. It is targeted at academics\, doctoral students\, post-doctoral as well as public or private sector researchers interested in studying the way people spend their time throughout the day.  It requires basic to intermediate prior knowledge of statistics and basic experience with statistical programming.\nPresenter: Dr Pierre Walthéry (University College London) \nFind more information here \nThe course will take place on 22nd and 29th of July\, from 2:00pm until 5:00pm\, and each afternoon will consist of 2-3 sessions\, with a presentation followed by a computer demonstration and questions and answers. \nParticipants are invited to follow and replicate on their own computer the code demonstrated during the session. \nThe course covers: \n\nHistorical outline of time-diaries and time use research\nActivities nomenclatures\, survey designs & time diary dataset structure\nDeriving duration and participation in activities from long and wide datasets\nMultivariate analysis of aggregate time diary data\nWeekly work schedules and working time\nWeighting and accounting for clustering in time diary data\n\nRegister here
URL:https://www.swdtp.ac.uk/event-calendar/ncrm-introduction-to-quantitative-time-diary-analysis/
CATEGORIES:Higher Level Training,Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20210708T093000
DTEND;TZID=UTC:20210708T110000
DTSTAMP:20260620T163019
CREATED:20210414T141313Z
LAST-MODIFIED:20240509T120823Z
UID:10000134-1625736600-1625742000@www.swdtp.ac.uk
SUMMARY:SWDTP Co-Funded Webinar with ADvaNCE: What are the best early interventions?
DESCRIPTION:Link to register. \n“What are the best early interventions for depression? And how early should they be used in order to result in the best patient outcomes?”\nThe SWDTP is delighted to be co-funding a series of three workshops including talks by clinicians and researchers in the field\, focus group discussions and young peoples’ perspectives\, to open up new research avenues and opportunities for collaboration. These are being led by ADvaNCE (the adolescent depression network to consolidate expertise)\, a special interest research group which is passionate about reducing depression in young people. \nThe workshops are as follows: \n2nd June “What methods can be used to identify that a young person is experiencing depression?” \n8th July “What are the best early interventions for depression? And how early should they be used in order to result in the best patient outcomes?” \n15th September “What are the best ways to tell young people with depression about treatment options and their effectiveness to help them feel more in control and to manage their difficulties?” \nThe workshops are open to all PhD students and ECRs from SWDTP Universities. \nIf you are interested in attending one or more of the workshops please book your free online ticket via the link below. \nIf you are interested in hearing more about ADvaNCE and our workshops please email codevelop2advance@gmail.co.uk. To be added to the ADvaNCE mailing list\, please pop your details here:\nhttps://bathpsychology.eu.qualtrics.com/jfe/form/SV_8jPzeG3HMYF95no and also give us a follow on Twitter advance_ntwk.
URL:https://www.swdtp.ac.uk/event-calendar/swdtp-co-funded-webinar-what-are-the-best-early-interventions-for-depression-and-how-early-should-they-be-used-in-order-to-result-in-the-best-patient-outcomes/
LOCATION:Online
CATEGORIES:Higher Level Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20210602T093000
DTEND;TZID=UTC:20210602T110000
DTSTAMP:20260620T163019
CREATED:20210414T141116Z
LAST-MODIFIED:20240423T122939Z
UID:10000133-1622626200-1622631600@www.swdtp.ac.uk
SUMMARY:SWDTP Co-Funded Webinar: “What methods can be used to identify depression?”
DESCRIPTION:Link to register.\nThe SWDTP is delighted to be co-funding a series of three workshops including talks by clinicians and researchers in the field\, focus group discussions and young peoples’ perspectives\, to open up new research avenues and opportunities for collaboration. These are being led by ADvaNCE (the adolescent depression network to consolidate expertise)\, a special interest research group which is passionate about reducing depression in young people. \nThe workshops are as follows: \n2nd June “What methods can be used to identify that a young person is experiencing depression?” \n8th July “What are the best early interventions for depression? And how early should they be used in order to result in the best patient outcomes?” \n15th September “What are the best ways to tell young people with depression about treatment options and their effectiveness to help them feel more in control and to manage their difficulties?” \nThe workshops are open to all PhD students and ECRs from SWDTP Universities. \nIf you are interested in attending one or more of the workshops please book your free online ticket via the link below. \nIf you are interested in hearing more about ADvaNCE and our workshops please email codevelop2advance@gmail.co.uk. To be added to the ADvaNCE mailing list\, please pop your details here:\nhttps://bathpsychology.eu.qualtrics.com/jfe/form/SV_8jPzeG3HMYF95no and also give us a follow on Twitter advance_ntwk.
URL:https://www.swdtp.ac.uk/event-calendar/swdtp-co-funded-webinar-what-methods-can-be-used-to-identify-that-a-young-person-is-experiencing-depression/
CATEGORIES:Higher Level Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20210519T130000
DTEND;TZID=UTC:20210519T150000
DTSTAMP:20260620T163019
CREATED:20210309T094736Z
LAST-MODIFIED:20240508T141513Z
UID:10000326-1621429200-1621436400@www.swdtp.ac.uk
SUMMARY:SWDTP-Funded Bespoke Qualitative Training: Participatory Action Research
DESCRIPTION:This interactive session introduces the theoretical foundations and principles of participatory action research (PAR). Then provide examples of PAR in academic research\, with opportunity to discuss their application in your research. \nWebinar leader\nDr Jo Howard is a Research Fellow and leader of the Participation\, Inclusion and Social Change Research Cluster Institute of Development Studies (at the University of Sussex). \nJo’s research focuses on the intersection of inequalities\, power\, participation and accountability\, and spans the UK social policy field and the international development arena. She use participatory action research methods in her work to generate knowledge and action with groups experiencing disadvantage. \nShe is interested in research methodologies which build agency\, inclusion and democratise knowledge production. She has conducted research in Latin America\, Africa and Asia and in her PhD (University of Bristol) used PAR to generate knowledge with groups in England and Nicaragua. \nRegistration for this webinar will open soon
URL:https://www.swdtp.ac.uk/event-calendar/swdtp-funded-bespoke-qualitative-training-participatory-action-research/
LOCATION:Online
CATEGORIES:Higher Level Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20210511T100000
DTEND;TZID=UTC:20210511T120000
DTSTAMP:20260620T163019
CREATED:20210309T094302Z
LAST-MODIFIED:20240508T141513Z
UID:10000130-1620727200-1620734400@www.swdtp.ac.uk
SUMMARY:SWDTP-Funded Bespoke Qualitative Training: Analysing interview and focus group data
DESCRIPTION:https://www.bath.ac.uk/events/analysing-interview-and-focus-group-data-thematic-analysis/\nThematic analysis is about finding patterns in qualitative data. \nIn this session\, you will work individually and in groups to analyse interview transcripts using Braun and Clarke’s (2006) six-phase approach to Thematic Analysis. \nBy the end of this workshop you will have: \n\nGained experience of how to analyse a qualitative data set.\nDeveloped an appreciation for the myriad of problems inherent to qualitative data analysis.\nAppreciated the importance of following robust qualitative data analysis procedures for your own research.\n\nWorkshop leader\nDr Ioannis Costas Batlle is a Lecturer in the Department of Education and Co-Director of the Centre for Qualitative Research at the University of Bath. \nHe is interested in the role of non-formal and informal education in young people’s lives. As a qualitative researcher who comes from an interdisciplinary background\, Ioannis’s research draws on critical pedagogy\, sociology and psychology.
URL:https://www.swdtp.ac.uk/event-calendar/swdtp-funded-bespoke-qualitative-training-analysing-interview-and-focus-group-data/
LOCATION:Online
CATEGORIES:Higher Level Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20210420T100000
DTEND;TZID=UTC:20210420T120000
DTSTAMP:20260620T163019
CREATED:20210309T093836Z
LAST-MODIFIED:20240508T141513Z
UID:10000129-1618912800-1618920000@www.swdtp.ac.uk
SUMMARY:SWDTP-Funded Bespoke Qualitative Research Training: Conducting\, improving\, and refining interviews and focus groups
DESCRIPTION:https://www.bath.ac.uk/events/conducting-improving-and-refining-interviews-and-focus-groups/\nThis session explores the practical ‘how’ of qualitative data collection\, focusing on interviews and focus groups. \nThis will follow on from session 3 (Preparing for speaking-based data collection) to further explore both good practice interview skills and how to reflect on your practice in order to facilitate and refine high quality data collection. \nWorkshop leader\nDr Sheree Bekker is an Assistant Professor (Lecturer) in the Department for Health at the University of Bath. \nShe is a Co-Director of the Centre for Qualitative Research and a member of the Centre for Health and Injury and Illness Prevention at Bath. \nShe is an Early Career Representative for the International Society for Qualitative Research in Sport and Exercise\, and a founding member of the Qualitative Research in Sports Medicine (QRSMed) special interest group.
URL:https://www.swdtp.ac.uk/event-calendar/swdtp-funded-bespoke-qualitative-research-training-conducting-improving-and-refining-interviews-and-focus-groups/
LOCATION:Online
CATEGORIES:Higher Level Training
END:VEVENT
END:VCALENDAR