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DTSTART;TZID=Europe/London:20260205T100000
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DTSTAMP:20260416T045446
CREATED:20250819T142729Z
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UID:10000528-1770285600-1770397200@www.swdtp.ac.uk
SUMMARY:Bayesian Statistics for Applied Research
DESCRIPTION:This two-day course provides a practical and accessible introduction to Bayesian statistics for applied research in any field. Students will benefit from a combination of lectures and discussion to explore fundamental concepts unlocking the potential to design bespoke statistical analyses based on your data and hypotheses as well as practical exercises to gain hands-on experience implementing Bayesian models using free and open-source software. The course is designed as a springboard to overcome the steepest part of the Bayesian learning curve with an immersive two-day deep-dive. \nStudents will have the opportunity to schedule a follow-up Bayesian surgery appointment (30 mins in-person or remote) for one-to-one engagement (or small groups\, as preferred) with the course instructor to answer burning questions that remain and/or to troubleshoot technical challenges related to their own research applications. \nPre-requisites: Students will need good programming skills in R and a basic understanding of linear regression to be successful in this course. \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/bayesian-statistics-for-applied-research/
LOCATION:London School of Economics and Political Science
CATEGORIES:Higher Level Training,Webinar/Seminar/Symposium
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/London:20260205T100000
DTEND;TZID=Europe/London:20260206T170000
DTSTAMP:20260416T045446
CREATED:20260202T144541Z
LAST-MODIFIED:20260202T144541Z
UID:10000579-1770285600-1770397200@www.swdtp.ac.uk
SUMMARY:Bayesian Statistics for Applied Research
DESCRIPTION:This two-day course provides a practical and accessible introduction to Bayesian statistics for applied research in any field. Students will benefit from a combination of lectures and discussion to explore fundamental concepts unlocking the potential to design bespoke statistical analyses based on your data and hypotheses as well as practical exercises to gain hands-on experience implementing Bayesian models using free and open-source software. The course is designed as a springboard to overcome the steepest part of the Bayesian learning curve with an immersive two-day deep-dive.
URL:https://www.swdtp.ac.uk/event-calendar/bayesian-statistics-for-applied-research-2/
CATEGORIES:Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/London:20260210T130000
DTEND;TZID=Europe/London:20260210T140000
DTSTAMP:20260416T045446
CREATED:20251205T142338Z
LAST-MODIFIED:20260113T142401Z
UID:10000562-1770728400-1770732000@www.swdtp.ac.uk
SUMMARY:Philosophy as method for data analysis in research
DESCRIPTION:Educational researchers are often encouraged to reflect on their ‘philosophical positioning’\, i.e. the ontological\, epistemological and axiological (ethical) assumptions that underpin their research design. Meanwhile\, in recent years in anglophone educational research departments\, using philosophy as a ‘method’ in its own right\, as opposed to a tool supporting empirical research\, has tended to go out of fashion. A group identifying as philosophers of education\, including current doctoral researchers and their supervisors\, seek to demonstrate the benefits and attractions of continuing to work philosophically\, sometimes treating the existing literature as priori data to be analysed\, at other times working in partnership with empirical research. They showcase a range of distinctive philosophical perspectives\, including examples from hermeneutical/analytical (Janet Orchard + 1) and critical/post-structuralist (Naomi Hodgson + 1) traditions.  This event is aimed at doctoral researchers at any stage who would like to hear more from enthusiasts of the theoretical on how to think more abstractly about data analysis in research. \nThis session is part of the SWDTP Data Analysis Webinar Series. Visit the following link for further information and registration: https://www.tickettailor.com/events/swdtp/1956811
URL:https://www.swdtp.ac.uk/event-calendar/philosophy-as-method-for-data-analysis-in-research/
CATEGORIES:Higher Level Training,Training,Webinar/Seminar/Symposium
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/London:20260212T100000
DTEND;TZID=Europe/London:20260212T170000
DTSTAMP:20260416T045446
CREATED:20260113T141656Z
LAST-MODIFIED:20260113T141656Z
UID:10000577-1770890400-1770915600@www.swdtp.ac.uk
SUMMARY:Introduction to agent-based modelling in NetLogo Introduction to agent-based modelling in NetLogo
DESCRIPTION:Whether it’s ant colonies\, traffic jams\, fisheries\, predator-prey interactions\, segregation patterns in urban areas\, or viruses spreading through populations\, we are surrounded by complex systems. Those have lots of different parts that interact in non-linear ways\, giving rise to patterns that are difficult to predict by looking at individual components in isolation. And when these components are agents that can adapt and learn\, it gets even harder. \nAgent-based models (ABMs) are one way of looking at these systems. By explicitly representing agents\, their behaviours and interactions\, and using simulations to work out the consequences of these mechanisms\, ABMs can provide candidate explanations for the observed patterns. \nIn this introductory course\, we will look at where ABMs come from\, how they work\, and what they are good for. We will learn how to build a simple model using NetLogo\, a programming environment specialised in agent-based modelling. We will also see how to estimate the parameters of a model using empirical data and\, once we have a calibrated model\, how to use it for policy optimisation. \nSome familiarity with computer programming is desirable\, but no prior experience with NetLogo is expected. \n  \nPlease note this event is not delivered by the SWDTP. Please direct enquiries to: granduniondtp@socsci.ox.ac.uk \nRegistration: https://www.granduniondtp.ac.uk/event/introduction-to-agent-based-modelling-in-netlogo
URL:https://www.swdtp.ac.uk/event-calendar/introduction-to-agent-based-modelling-in-netlogo-introduction-to-agent-based-modelling-in-netlogo/
LOCATION:6 Worcester St\, Oxford OX1 2BX
CATEGORIES:Higher Level Training,Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/London:20260217T100000
DTEND;TZID=Europe/London:20260217T170000
DTSTAMP:20260416T045446
CREATED:20260113T141335Z
LAST-MODIFIED:20260113T141335Z
UID:10000576-1771322400-1771347600@www.swdtp.ac.uk
SUMMARY:Reproducible data analysis pipelines in R
DESCRIPTION:Years ago\, you wrote a data analysis script. Hundreds of lines of R code\, all in a single file. It was not beautiful\, but it worked\, and you got a great paper out of it. But now some new version of one of the datasets you used has come out\, and there is also that new statistical technique that you have been meaning to try anyway. Assuming you still have your original code somewhere\, can you still run it? Even on your new machine? Maybe. And do you need to re-run the whole thing if you only change parts of it? It did take ages to run… \nIn this one-day course\, you will learn about packages and practices that can help you make your analyses reproducible and portable. The material is centred around the `targets` package for building computational pipelines\, but we will also talk about `renv` for package management\, `git` and GitHub for version control and remote execution\, and Quarto for the production of final research outputs. We will also\, of course\, use the `tidyverse` throughout. \nSome basic proficiency in R is required to make the most of this course. \nSpaces are limited so we cannot guarantee a place at the point of registration. Places will be allocated on a first-come\, first-served basis\, and once places are full\, we will maintain a waiting list. \n  \nPlease note this event is not delivered by the SWDTP. Please direct enquiries to granduniondtp@socsci.ox.ac.uk \nRegistration: https://www.granduniondtp.ac.uk/event/reproducible-data-analysis-pipelines-in-r
URL:https://www.swdtp.ac.uk/event-calendar/reproducible-data-analysis-pipelines-in-r/
LOCATION:6 Worcester St\, Oxford OX1 2BX
CATEGORIES:Higher Level Training,Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/London:20260223T100000
DTEND;TZID=Europe/London:20260223T163000
DTSTAMP:20260416T045446
CREATED:20251205T150732Z
LAST-MODIFIED:20251205T150732Z
UID:10000574-1771840800-1771864200@www.swdtp.ac.uk
SUMMARY:GW4 Neurodivergent PGR Community Festival 2026
DESCRIPTION:Join us at the GW4 Neurodivergent Postgraduate Community Festival 2026 for a day of celebration\, connection\, and support! \n  \n Registration now open for the GW4 Neurodivergent PGR Community Festival 2026 We’re excited to invite neurodivergent postgraduate researchers from across Cardiff\, Bath\, Bristol and Exeter to join us on 23 February 2026 in Bristol for a day of connection\, celebration and community. This festival creates space for ND PGRs to: share experiences build supportive networks explore research identity meet others navigating academia as neurodivergent researchers ️ 23 February 2026 St Michael’s Centre\, Bristol\, BS34 8PD (5 minute walk from Bristol Parkway)  Register via Eventbrite: https://www.eventbrite.co.uk/e/gw4-neurodivergent-pgr-community-festival-2026-tickets-1964553969808…
URL:https://www.swdtp.ac.uk/event-calendar/gw4-neurodivergent-pgr-community-festival-2026/
CATEGORIES:Conference
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/London:20260226T130000
DTEND;TZID=Europe/London:20260226T140000
DTSTAMP:20260416T045446
CREATED:20251205T142459Z
LAST-MODIFIED:20260113T142359Z
UID:10000563-1772110800-1772114400@www.swdtp.ac.uk
SUMMARY:Messy and mixed: working with quant and qual data
DESCRIPTION:Making Sense of Messy Legal Data: Analysing Climate Litigation in Latin America and the Caribbean\nCristian Heredia Ligorria\, PhD researcher in Socio-legal Studies at UWE Bristol \nMy doctoral research investigates rights-based climate litigation (RBCL) in Latin America and the Caribbean applying a socio-legal methodology and from a decolonial perspective. Chapter 3 of my thesis is grounded in the construction and analysis of a working dataset of 51 RBCL cases (as of November 2024). This process combined qualitative and quantitative methods to identify high-level trends\, map actors (who litigates\, against whom\, and in what contexts)\, and develop a typology of cases. \nThe analysis presented several methodological challenges: the diversity of legal systems across the region\, inconsistencies in reporting\, language barriers\, and the evolving nature of climate litigation. Data were cleaned and verified manually\, drawing on databases such as the Sabin Center and supplemented by direct regional expertise. Supervisory feedback\, peer-reviewed collaborations\, and external expert input were essential in refining the methodology and ensuring rigour. \nThis experience highlights both successes and the practical challenges of working with heterogeneous legal data\, and offers lessons for socio-legal researchers conducting comparative data analysis in underexplored regions. \n  \nUsing a structured case review tool to understand police investigation of rape cases\nAneela Khan\, Postdoctoral Research Assistant at Bournemouth University \nOperation Soteria Bluestone aimed to improve understanding of how police investigate rape cases in the UK. As part of this work\, we developed a structured case review tool to collect detailed information on individual investigations. In its initial format\, the tool required a junior officer to document case details and evaluate investigative strengths and weaknesses\, followed by a senior officer who repeated the review and provided oversight on the junior officer’s assessment. Due to several challenges\, the tool was adapted for the second year to allow researchers to directly access the cases and then populate the template. The dataset comprised qualitative and structured quantitative information\, including case characteristics\, investigative actions\, and assessments of investigative quality. Data analysis combined descriptive statistics to summarise trends and thematic coding to identify recurring strengths\, weaknesses\, and procedural patterns across cases. This methodology provided a systematic approach to evaluating investigative practices in rape cases and supports evidence-based recommendations for improving police investigations. \nThis session is part of the SWDTP Data Analysis Webinar Series. Visit the following link for further information and registration: https://www.tickettailor.com/events/swdtp/1956811
URL:https://www.swdtp.ac.uk/event-calendar/messy-and-mixed-working-with-quant-and-qual-data/
CATEGORIES:Higher Level Training,Training,Webinar/Seminar/Symposium
END:VEVENT
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