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X-WR-CALDESC:Events for DEMENTIA RESEARCHER
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DTSTART:20260329T010000
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BEGIN:VEVENT
DTSTART;TZID=Europe/London:20260617T093000
DTEND;TZID=Europe/London:20260617T123000
DTSTAMP:20260729T132235
CREATED:20260604T154547Z
LAST-MODIFIED:20260604T154547Z
UID:10002276-1781688600-1781699400@www.dementiaresearcher.nihr.ac.uk
SUMMARY:BioResource scientific conference
DESCRIPTION:Join us for the fourth edition of the NIHR BioResource Scientific Conference on Wednesday 17th June. \nThis fully online conference celebrates the cutting-edge research that has been made possible by NIHR BioResource data\, samples and participant recall. \nJoin us from 9:30- 12:30 to hear from leading scientific voices and to have your opportunity to ask our experts about how the BioResource could support your research. \nAgenda\n9:30am-9:35am – Welcome to the BioResource \n9:35am 9:45am – KEYNOTE SPEAKER: Dr. Nick Watkins from the Departmnt of Health and Social Care on the vision for the future of health research in the UK \n9:45am 10:05am – Dr. Michael Colwill – Inflammatory Bowel Disease (IBD) in transgender and gender non-conforming people \n10:05am 10:25am – Prof. Cath Williamson -The role of genomics in maternal health \n10:25am 11:10am – Fireside chat on research inclusion\, featuring – Dr. Esther Mukuka\, NIHR Director of Research Inclusion with Prof. Cath Williamson and Vicky Hills\, Research Recruitment Manager\,  NIHR  BioResource \n11:10am 11:30am – Comfort break \n11:30am 11:50am – Alicia Rowland and Lucy Clossick Thomson – PS-002-101\, the first gene therapy in kidney disease: how and why we’ve leveraged BioResource to help support recruitment in a NICE patient group \n11:50am 12:10pm – Prof. Rachel Upthegrove – The Mental Health Mission and the SMILE BioResource \n12:10pm 12:30pm – Prof. Nathalie Kingston\, Director\, NIHR BioResource – Closing remarks.
URL:https://www.dementiaresearcher.nihr.ac.uk/event/bioresource-scientific-conference/
LOCATION:Online\, United Kingdom
CATEGORIES:Conference
ATTACH;FMTTYPE=image/png:https://www.dementiaresearcher.nihr.ac.uk/wp-content/uploads/2025/06/NIHR-BioResources-Logo.png
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BEGIN:VEVENT
DTSTART;TZID=Europe/London:20260617T110000
DTEND;TZID=Europe/London:20260617T123000
DTSTAMP:20260729T132235
CREATED:20260327T121853Z
LAST-MODIFIED:20260327T121853Z
UID:10002170-1781694000-1781699400@www.dementiaresearcher.nihr.ac.uk
SUMMARY:Better conversations: getting to the root of communication
DESCRIPTION:Better conversations: getting to the root of communication – 17 June 2026\n\n\n\nTime: 11.00am – 12.30pm \nAim: To better understand communication for people living with MND and ways to support conversation. \nBy the end of this webinar\, participants will have: \n\na wider understanding of communication change in MND\nconsidered what is meant by conversation\nhad an introduction to how conversation works\nexplored the barriers and facilitators to conversation\nbeen introduced to the Better Conversations MND resource.\n\nSpeakers: Professor Steven Bloch\, MRSCLT and Sophie Stribbbling\, MRCSLT \nView speaker biographies \n\nRegister
URL:https://www.dementiaresearcher.nihr.ac.uk/event/better-conversations-getting-to-the-root-of-communication/
LOCATION:Online\, United Kingdom
CATEGORIES:Workshop
ATTACH;FMTTYPE=image/png:https://www.dementiaresearcher.nihr.ac.uk/wp-content/uploads/2026/01/MND-Association-Logo.png
ORGANIZER;CN="MND Association":MAILTO:fundraising@mndassociation.org
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/London:20260617T120000
DTEND;TZID=Europe/London:20260617T124500
DTSTAMP:20260729T132235
CREATED:20260505T141940Z
LAST-MODIFIED:20260726T215451Z
UID:10002227-1781697600-1781700300@www.dementiaresearcher.nihr.ac.uk
SUMMARY:Catchup - Research Showcase - Language as an Early Marker of Cognitive Decline
DESCRIPTION:Can subtle changes in language reveal early signs of cognitive decline. And could figurative language offer a more sensitive way to detect mild cognitive impairment. \nThis livestream is part of the Dementia Researcher weekly Showcase series. Each week we host a 45 minute online session bringing researchers together to share their work\, methods\, and ideas. \nIn this session\, Millennium Iyobuchiebomie will present her research exploring the use of figurative language assessment as a novel approach to detecting mild cognitive impairment. Her work investigates whether difficulties in understanding non literal language can act as an early indicator of cognitive change. \nMillennium is a PhD researcher at Sheffield Hallam University with a background in social science and psychology. Her research focuses on language\, cognition\, and early detection of neurodegenerative conditions\, with the aim of supporting earlier intervention and improved quality of life. \nAttendees can expect a research focused session with time for questions and discussion. \n\nWatch the Recording
URL:https://www.dementiaresearcher.nihr.ac.uk/event/research-showcase-language-as-an-early-marker-of-cognitive-decline/
LOCATION:Dementia Researcher Communities App
CATEGORIES:Webinar
ATTACH;FMTTYPE=image/png:https://www.dementiaresearcher.nihr.ac.uk/wp-content/uploads/2026/05/Figurative-Language-as-an-Early-Marker-of-Cognitive-Decline-web.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/London:20260617T123000
DTEND;TZID=Europe/London:20260617T133000
DTSTAMP:20260729T132235
CREATED:20260602T125941Z
LAST-MODIFIED:20260602T125941Z
UID:10002264-1781699400-1781703000@www.dementiaresearcher.nihr.ac.uk
SUMMARY:New insights on Working while living with dementia
DESCRIPTION:The Young Dementia Network webinar on Wednesday 17th June 2026 at 12.30-1.30pm will share emerging evidence from three research projects currently underway by the Working With Dementia Network Plus Research Team exploring dementia and employment. \nPresentations will cover priorities for improving work experiences\, the economic impacts of young onset dementia\, and how employment law is applied in practice. \nMembers of the Working With Dementia Advisory Panel will share their lived experiences of working following a diagnosis of young onset dementia. \nRegister
URL:https://www.dementiaresearcher.nihr.ac.uk/event/new-insights-on-working-while-living-with-dementia/
LOCATION:Online\, United Kingdom
CATEGORIES:Webinar
ATTACH;FMTTYPE=image/png:https://www.dementiaresearcher.nihr.ac.uk/wp-content/uploads/2022/09/Young-Dementia-Network-Logo-280-×-280px.png
ORGANIZER;CN="Young Dementia Network":MAILTO:youngdementianetwork@dementiauk.org
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/London:20260617T130000
DTEND;TZID=Europe/London:20260617T160000
DTSTAMP:20260729T132235
CREATED:20260602T152129Z
LAST-MODIFIED:20260602T152129Z
UID:10002270-1781701200-1781712000@www.dementiaresearcher.nihr.ac.uk
SUMMARY:Interpretable Machine Learning
DESCRIPTION:Interpretable Machine Learning: Visualization\, Sparse Models\, and Neural Networks – Online Course\nThis three-part lecture covers three pillars of interpretable machine learning: dimension reduction for data visualization\, sparse models for tabular data\, and interpretable neural networks for computer vision. These are essential topics for any researcher working in high-stakes machine learning applications—and genuinely useful ones. \nPart 1: Dimension Reduction for Data Visualization \nDimension reduction (DR) for data visualization provides unique insights into the structure of high-dimensional data. DR offers a bird’s-eye view of a dataset\, revealing clusters and their relationships\, manifolds\, branching patterns\, and even potential errors in the data. It is extremely effective for scientific discovery and hypothesis generation. We will discuss key elements of DR algorithms leading to the derivation of the PaCMAP algorithm\, with applications in bioinformatics\, name-ethnicity classification\, finance\, and neurology. \nPart 2: Sparse Models and Rashomon Sets for Tabular Data \nWhile the trend in machine learning has moved toward increasingly complex black-box models\, such models have shown no performance advantage for many real-world tabular datasets. For these datasets\, simpler models—sometimes small enough to fit on an index card—can be just as accurate and far easier to use. The challenge is that designing interpretable models is difficult due to the “interaction bottleneck\,” which arises when domain experts must work closely with machine learning algorithms. We’ll review two families of interpretable models—optimal sparse decision trees and sparse generalized additive models—and introduce the Rashomon set framework as a principled approach to managing the interaction bottleneck\, with examples from finance and criminal justice. \nPart 3: Interpretable Neural Networks for Computer Vision \nPrototype neural networks are among the most popular inherently interpretable architectures for computer vision and signal processing. These models make predictions by comparing parts of an input image to parts of prototypical images\, assigning a score to each comparison and summing those scores to form the final prediction. We will discuss the ProtoPNet algorithm and its extension\, ProtoConcept\, in which a cluster of images defines a “concept prototype\,” making comparisons richer and more informative. An application to ICU neurology is also included. \nThe lecture concludes with an application to computer-aided mammography\, in which an interpretable neural network led to a scientific discovery: subtle left-right asymmetries in mammograms can predict breast cancer up to five years in advance. Our AsymMirai algorithm was the fifth most-viewed paper in Radiology in 2024. \nSee also: \nCynthia Rudin\, Chaofan Chen\, Zhi Chen\, Haiyang Huang\, Lesia Semenova\, and Chudi Zhong. “Interpretable Machine Learning: Fundamental Principles and 10 Grand Challenges.” Statistics Surveys\, 2022. https://arxiv.org/abs/2103.11251 \nThis Distinguished Speaker Series seminar will consist of three hours of lecture and Q&A\, held live* via the free video-conferencing software Zoom. \n*The video recording of the seminar will be made available to registrants within 24 hours and will be accessible for four weeks thereafter. That means that you can watch all of the class content and discussion even if you cannot participate synchronously. \nClosed captioning is available for all live and recorded sessions. Captions can be translated to a variety of languages including Spanish\, Korean\, and Italian. For more information\, click here. \nIf you’re looking for a comprehensive introduction to interpretable machine learning\, check out our livestream seminar Interpretable Machine Learning on June 9-12.
URL:https://www.dementiaresearcher.nihr.ac.uk/event/interpretable-machine-learning/
LOCATION:Online\, United Kingdom
CATEGORIES:Training
ATTACH;FMTTYPE=image/png:https://www.dementiaresearcher.nihr.ac.uk/wp-content/uploads/2026/06/statistical-horizons-logo.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/London:20260617T150000
DTEND;TZID=Europe/London:20260617T160000
DTSTAMP:20260729T132235
CREATED:20260604T234125Z
LAST-MODIFIED:20260604T234125Z
UID:10002279-1781708400-1781712000@www.dementiaresearcher.nihr.ac.uk
SUMMARY:AI in science recruitment: friend or foe?
DESCRIPTION:Artificial intelligence can help draft science job ads\, process applications and shortlist researcher candidates. Scientist jobseekers can use it to polish CVs and resumes\, write cover letters and complete application forms. But what are the strengths\, limitations and risks associated with using the technology? This 60-minute webinar and Q&A session aims to help early career researchers and hiring managers decide how and when to use AI as a recruitment tool.  \nIf you would like to submit any questions to the panelists in advance\, please email naturecareerseditor@nature.com. \n\nRegister
URL:https://www.dementiaresearcher.nihr.ac.uk/event/ai-in-science-recruitment-friend-or-foe/
LOCATION:Online\, United Kingdom
CATEGORIES:Lecture
ATTACH;FMTTYPE=image/png:https://www.dementiaresearcher.nihr.ac.uk/wp-content/uploads/2024/11/Nature-Careers-logo.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/London:20260617T190000
DTEND;TZID=Europe/London:20260617T200000
DTSTAMP:20260729T132235
CREATED:20260520T220116Z
LAST-MODIFIED:20260520T220448Z
UID:10002253-1781722800-1781726400@www.dementiaresearcher.nihr.ac.uk
SUMMARY:Improving Measurement of Social / Structural Determinants of Health in Alzheimer's
DESCRIPTION:The ISTAART Diversity and Disparities PIA Social / Structural Determinants of Health Work Group invites you to its upcoming webinar: Improving Measurement of Social / Structural Determinants of Health in Alzheimer’s Disease and Related Dementias. \nThis webinar aims to enhance the understanding of social and structural determinants of health (S/SDOH) as key to addressing disparities in Alzheimer’s disease and related dementias (ADRD). However\, the complexity of S/SDOH often limits causal insights. This webinar will explore rigorous methods to improve study design and better connect S/SDOH to ADRD outcomes. \nJoin us on Wednesday\, June 17th\, 2026\, 1:00 pm CDT \nSpeakers: \nEmma Nichols\, Ph.D.\, MPH\, University of Southern California\, United States\nGanga Bey\, Ph.D.\, MPH\, UNC Chapel Hill\, United States\nHeather Allore\, Ph.D.\, Yale University\, United States\nJustina Avila-Reiger\, Ph.D.\, Columbia University\, United States \nModerators: \nJaya Viswanathan\, Ph.D.\, Indiana University School of Medicine\, United States \nMichael Green\, Ph.D.\, Johns Hopkins University\, United States \n\nRegister
URL:https://www.dementiaresearcher.nihr.ac.uk/event/improving-measurement-of-social-structural-determinants-of-health-in-alzheimers/
LOCATION:Online\, United Kingdom
ATTACH;FMTTYPE=image/png:https://www.dementiaresearcher.nihr.ac.uk/wp-content/uploads/2023/01/ISTAART-Logo.png
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