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DTSTART;VALUE=DATE:20260302
DTEND;VALUE=DATE:20260306
DTSTAMP:20260625T130221
CREATED:20260220T070035Z
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SUMMARY:Masterclasses and Spring School: Large-scale Data Analysis
DESCRIPTION:This series of short courses will explore the process of analysing complex large-scale survey data using traditional statistical methods and AI-supported approaches. It will be delivered in a hybrid format – offering participants the chance to join online or in person – between 2 and 5 March 2026. \nParticipants can choose between four courses on a variety of topics. A discount is available for participants attending all four courses. \nSummary\nIn the era of big data and rapidly advancing AI technologies\, the real challenge is no longer whether data exist\, but how to extract credible\, interpretable\, and policy-relevant evidence from massive and complex datasets. This four-course series uses International Large-Scale Assessment (ILSA) data as its central example to guide participants – from beginners to those with prior analytical experience – through the process of analysing complex large-scale survey data in the social sciences. \nConfronting the challenges inherent in complex secondary datasets – such as multilevel structures\, cross-national sampling\, complex weighting schemes and latent constructs – the series moves from foundational concepts to advanced applications. It covers traditional statistical methods (such as multilevel models\, structural equation modelling\, causal inference models)\, machine learning techniques\, and emerging uses of generative AI in data analysis. Participants will develop an understanding of the differences\, strengths\, limitations\, and complementarities of these approaches within the context of secondary data analysis. \nCourses\n1) Introduction to Machine Learning and AI Methods to Analyse Large-scale Data: An Example Using International Large-Scale Assessment Data\nMonday\, 2 March 2026 \nThe series begins by using ILSA (International Large-Scale Assessment) datasets as examples to introduce the internal structures\, typical characteristics\, and methodological challenges of complex social-science secondary data. It also compares theory-driven and data-driven analytical approaches to help researchers understand how to select appropriate models based on their research questions and data features. \nThe course will help participants to understand and identify the internal structures of ILSA data\, understand the relative merits of theory-driven vs data-driven approaches\, and reflect critically on methodological choices. \nRead more and register \n2) Can Machines Really Understand Data? Using Machine Learning and AI Methods to Analyse Survey and International Large-Scale Assessment Data\nTuesday\, 3 March 2026 \nThis course moves into hands-on modelling\, introducing Random Forest and CatBoost to show how these algorithms detect nonlinear patterns and interactions\, handle high-dimensional data\, improve prediction\, and address limitations of traditional regression. \nRead more and register \n3) How Can Generative AI (LLMs) Help with Analysing Survey and International Large-Scale Assessment Data?\nWednesday\, 4 March 2026 \nFocusing on LLMs\, this session will demonstrate their potential in code generation\, model reasoning\, result interpretation\, and academic writing\, while also highlighting their unique advantages in enhancing research efficiency and interpretability. It will additionally discuss how to use AI tools safely and responsibly within the analytical workflow. \nRead more and register \n4) Which Analytical Choices Are Better? Comparing Traditional Statistical Methods with Machine Learning and AI-supported Methods\nThursday\, 5 March 2026 \nThe final course synthesises the frameworks and tools covered in the series and examines how analytical choices shape empirical results. Through Multiverse Analysis and Specification Curves\, it provides a systematic way to identify which findings remain stable and reproducible across alternative modelling decisions. \nRead more and register \nCost and registration\n\nSession one: £25\nSession two: £50\nSession three: £50\nSession four: £25\n\nSpecial offer: a discount is available for participants attending all four courses. The discounted price is £120 \nTo sign up for the courses\, click on one the links listed above and then click the “Register for this course” button. On the payment page\, you will be able to select the courses that you wish to attend. \nOverview\nThis four-course series offers a clear framework for understanding traditional statistical modelling\, machine learning and generative AI methods in complex data analysis. It also provides participants with a complete pathway — from understanding data structures and selecting methods to building models and strengthening robustness. By the end of the series\, researchers will be better equipped to analyse complex secondary data confidently and to produce more reliable\, interpretable\, and methodologically sound findings in social science research. \nTarget audience\nThe four courses are for junior and senior researchers and professionals\, from any sector and career stage\, with an interest in learning about analysis methods of large-scale survey data and finding out about AI-based and machine learning methods and comparison to traditional statistical methods. The courses are also suitable for education professionals interested in quantitative reasoning\, data-driven inquiry and/or evidence-based research. \nPre-requisites\nNo prior experience with statistical software or large-scale assessment data is required. \nVenue\nThe courses will be delivered in a hybrid format. Participants can join online or in person at the University of Southampton\, Southampton\, SO17 1BJ\, United Kingdom. The courses will take place in Building 54\, Room 4001. \nFurther information\nIf you have any questions\, please contact Jacqui Thorp: J.M.High@soton.ac.uk
URL:https://www.dementiaresearcher.nihr.ac.uk/event/masterclasses-and-spring-school-large-scale-data-analysis/
LOCATION:Online\, United Kingdom
CATEGORIES:Training
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BEGIN:VEVENT
DTSTART;TZID=Europe/London:20260303T090000
DTEND;TZID=Europe/London:20260303T170000
DTSTAMP:20260625T130221
CREATED:20251215T090136Z
LAST-MODIFIED:20251215T090136Z
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SUMMARY:Liverpool Dementia & Ageing Research Conference
DESCRIPTION:Join us at the 7th annual Liverpool Dementia & Ageing Research Conference! \nThis year’s Conference theme focuses on “Innovations in dementia care”. The Conference is open to academics\, students\, health and social care professionals\, Third Sector representatives\, funders\, commissioners\, and people living with dementia and unpaid carers. You can register here and if you would like to host a market stall for your organisation\, you can indicate this when ordering a ticket.\nConference Planning Committee: \nDr Clarissa Giebel\, Kath Halpin\, Ruth Eley\, Dr Kerry Hanna\, Emma Williams\, Anne Liu \nDate and time:\nTuesday 3rd March 2026\, 9.00-17.00 \nSession 1: Dementia training and education \nSession 2: Sport and dementia \nSession 3: Innovations in residential care \n(The full agenda will be posted early January) \nVenue:\nThe Liner Hotel\, Liverpool \nLord Nelson Street\, L3 5QB \nContact:\nclarissa.giebel@liverpool.ac.uk \n\nRegister to Attend
URL:https://www.dementiaresearcher.nihr.ac.uk/event/liverpool-dementia-ageing-research-conference/
LOCATION:The Liner Hotel\, Lord Nelson Street\, Liverpool\, Merseyside\, L3 5QB\, United Kingdom
CATEGORIES:Conference
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ORGANIZER;CN="Liverpool Dementia & Ageing Research Forum":MAILTO:clarissa.giebel@liverpool.ac.uk
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DTSTART;TZID=Europe/London:20260303T100000
DTEND;TZID=Europe/London:20260303T110000
DTSTAMP:20260625T130221
CREATED:20260212T203230Z
LAST-MODIFIED:20260212T203230Z
UID:10002103-1772532000-1772535600@www.dementiaresearcher.nihr.ac.uk
SUMMARY:Alzheimer's Society Funding Call Information Session
DESCRIPTION:Interested in applying to Alzheimer’s Society for research funding? \nJoin this webinar to find out more about the funding calls\, and get support with making your application. \nLearn more about: \n\nThe different grant types available\nWhat to include in your outline application\nFormatting tips\nHow to write a standout lay summary\n\nThe session will include time for questions and discussion. \nOpen funding calls \n\nRegister to Attend
URL:https://www.dementiaresearcher.nihr.ac.uk/event/alzheimers-society-funding-call-information-session/
LOCATION:Online\, United Kingdom
CATEGORIES:Training
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DTSTART;VALUE=DATE:20260304
DTEND;VALUE=DATE:20260306
DTSTAMP:20260625T130221
CREATED:20251201T094701Z
LAST-MODIFIED:20251201T094701Z
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SUMMARY:Prevention Research 2026
DESCRIPTION:Population Health Improvement UK\, UKPRP Prevention Research Network and the National Institute for Health and Care Research invite you to the second Prevention Research Conference. Join us at Vox in Birmingham\, 4-5 March 2026 to explore the latest research and collaborative strategies for preventing non-communicable diseases and reducing health inequalities across the UK. \nThis event is open to the prevention research community\, whether you are conducting research into the primary prevention of non-communicable diseases\, developing interventions to reduce health inequalities and illness\, or using this research to improve policy or service delivery. \nThe partnership of PHI UK\, UKPRP PRN and NIHR brings together three of the UK’s leading health research networks and funders\, enabling Prevention Research 2026 to convene wide-ranging perspectives on the future of research and action for better prevention\, population health and equity. \nFollowing the success of the first Prevention Research Conference in 2023\, this event will showcase non-communicable disease prevention research from: \n\nUKPRP-funded consortia and networks\nthe four PHI UK research consortia\nacross NIHR\nthe wider UK research and practice community\n\nOpportunities for discussion will include: \n\nEmerging research practice including collaborations between research\, public and policy stakeholders\nMaximising impact and taking systems approaches\nCreating meaningful public involvement and engagement\n\nThe conference is funded by PHI UK and the UKPRP. \nRegistration now open \nRegistration for Prevention Research 2026 is now open. Early bird rates are available until Friday 30th January 2026\, with registration closing on 1 March 2026 \n\nInfo & Abstract Submissions
URL:https://www.dementiaresearcher.nihr.ac.uk/event/prevention-research-2026/
LOCATION:The Vox\, Birmingham\, 2nd Floor Resorts World\, Pendigo Way\, Birmingham\, West Midlands\, B40 1PU\, United Kingdom
CATEGORIES:Conference
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BEGIN:VEVENT
DTSTART;TZID=Europe/London:20260305T093000
DTEND;TZID=Europe/London:20260305T113000
DTSTAMP:20260625T130221
CREATED:20260209T112012Z
LAST-MODIFIED:20260209T112043Z
UID:10002091-1772703000-1772710200@www.dementiaresearcher.nihr.ac.uk
SUMMARY:SPIN-D - Data for Brain Health and Dementia
DESCRIPTION:An online showcase introducing key datasets that can be used to study brain health\, dementia risk and early changes across the life course. \nThe event will highlight resources including PROTECT\, UCL Centre for Longitudinal Studies and the Data Atlas\, alongside real examples of how these data are being used in projects such as INFLAIM and by members of the DEMON network. \n\nThe session will also explore meaningful involvement of people with lived experience in data-driven research with Laura Gray. Designed for early-career researchers\, clinicians\, data scientists and others interested in dementia and brain health research.\n\nRegister to Attend\n\n\n\n\n\n\nSPIN Dementia Network Plus is a UK-wide research and engagement network focused on reducing the risk of dementia and improving the experience of living with the condition by supporting new projects\, fostering collaboration\, and involving people with lived experience\, researchers and care professionals. The network brings together diverse stakeholders to share knowledge\, drive innovation and promote community involvement in dementia research\, risk reduction and brain health awareness. It is one of four Dementia Network Plus initiatives jointly supported by the Alzheimer’s Society\, the Economic and Social Research Council and the NIHR. \nhttps://spindementianet.org/
URL:https://www.dementiaresearcher.nihr.ac.uk/event/spin-d-data-for-brain-health-and-dementia/
LOCATION:Dementia Researcher Communities App
CATEGORIES:Workshop
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