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DTSTART;TZID=Europe/London:20250730T080000
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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
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DTSTART;TZID=Europe/London:20250821T110000
DTEND;TZID=Europe/London:20250821T120000
DTSTAMP:20260506T230245
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
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