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DTSTART;TZID=Europe/London:20260914T093000
DTEND;TZID=Europe/London:20260914T163000
DTSTAMP:20260711T150525
CREATED:20260703T110111Z
LAST-MODIFIED:20260703T110111Z
UID:10002310-1789378200-1789403400@www.dementiaresearcher.nihr.ac.uk
SUMMARY:Bridges Dementia Network+ Annual Conference
DESCRIPTION:The BRIDGES for Dementia Network+ is a national research initiative bringing together people with lived experience of dementia\, researchers\, designers\, and health professionals. \nOur goal is to rethink how technology can help people with dementia live full\, independent\, and connected lives. By combining expertise from arts\, health\, social care\, and technology\, we’ll co-design practical solutions that make a real difference to everyday life. \nWe would like to invite people with dementia\, researchers\, and representatives from different sectors to exchange their knowledge and experience to help improve the lives of those living with dementia. The conference is open to researchers\, universities\, industry\, charities\, and people with lived experience of dementia. \nThe conference will include updates on BRIDGES activities\, interactive sessions\, and technology demonstrations. We will also present opportunities to be involved in future funding calls and research. \nWho this event is for:\n\nWe would welcome members of the general public who have experience of supporting people living with dementia\, or who are living with dementia themselves.\nThe event is also open to researchers\, healthcare practitioners\, service providers\, or representatives of technology companies.\n\nAttendance is free\, but our room capacity is limited to 125 people. \nIn addition to the main conference\, we are running three parallel sessions. More details are available below. \nExhibition: We will have a number of partners who will be exhibiting their work and technology. The exhibition is an opportunity to network with members of the BRIDGES N+ who are working on technologies to improve the lives of those living with dementia. \n\nAgenda\n09:00 – 09:45 | Registration \n09:45 | Welcome and introduction — Dr. Jennifer MacRitchie\, BRIDGES N+ Director \n10:00 | Sheffield City Council Strategy on Dementia: Our Next Steps — Jo Pass (Assistant Director\, Living and Ageing Well) \n10:30 | How can businesses take into account people with dementia when designing products and services? — Gordon McCullough\, CEO Research Institute for Disabled Consumers \n10:50 | Break and networking opportunity \n11:10 | Panel discussion: The promise and pitfalls of technology and dementia \n11:55 | Co-design in practice: How people with lived experience may influence the design of new technology —  Roger Whitham & Joseph Lindley\, University of Lancaster \n12:15 | Technology presentations by companies \n12:30 | Lunch and opportunity to view the exhibition \nParallel sessions from 13:30 – 15:00\nWe are running three parallel sessions from 13:30 – 15:00. Delegates are welcome to select one of the three to take part in. \nPlaces are limited for the Experiential Workshop and Early Career Researcher masterclass\, so places will be allocated on a first-come\, first-served basis by emailing bridgesfordementia@sheffield.ac.uk. \n\nParallel Session 1: Technical presentations by the wider research community- A series of talks will present to delegates the most recent research on different areas of technology and how they might impact the lives of people living with dementia.\n\n\nParallel Session 2: Experiential workshop on communication- In this interactive and experiential workshop\, Grace Stead from Enrichment for the Elderly will help researchers and practitioners experience how communication may be affected by dementia. Participants will learn how to communicate more effectively with people living with dementia\, how to make technological solutions more inclusive and how to best include people with dementia in activities. Places are limited to 20 participants.\n\n\nParallel Session 3: Early Career Researcher (ECR) masterclass- In this workshop chaired by Rachael Litherland from Innovations in Dementia\, ECRs are invited to present their research ideas to a panel composed of people with lived experience of dementia. The panel will provide feedback on your idea from the perspective of people affected by dementia. There will be an opportunity for you to ask specific questions that you would find it useful to have a lived experience viewpoint on. The session is designed to help ECRs formulate project ideas for future funding calls. Places are limited to 5 Early Career Researchers.\n\n15:00 | Break and networking opportunity \n15:30 | Future BRIDGES research funding calls — Dr. Jennifer MacRitchie \n15:45 | How to maximise the impact of your research projects — BRIDGES N+ Impact Officer \n16:00 | Final comments and close. \nYou can register here to attend.
URL:https://www.dementiaresearcher.nihr.ac.uk/event/bridges-dementia-network-annual-conference/
LOCATION:Voco Sheffield\, 119 Norfold Street\, Sheffield\, Yorkshire\, S1 2JE\, United Kingdom
CATEGORIES:Conference
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BEGIN:VEVENT
DTSTART;VALUE=DATE:20260915
DTEND;VALUE=DATE:20260918
DTSTAMP:20260711T150525
CREATED:20260422T174133Z
LAST-MODIFIED:20260422T174133Z
UID:10002199-1789430400-1789689599@www.dementiaresearcher.nihr.ac.uk
SUMMARY:Mendelian Randomisation Training Course
DESCRIPTION:Join us for a three-day\, in-person course on Mendelian randomisation at University College London from 15th-17th September 2026. \nRunning for the third year\, this course introduces some of the theory and most widely used tools for MR\, and how to apply these methods to real research questions. The course will cover one-sample and two-sample approaches\, sensitivity analyses including pleiotropy-robust methods\, multivariable MR for mediation and interaction analyses\, within-family MR\, MR-PheWAS and drug target MR. Each method will be explained with accompanying practicals to give participants hands-on experience designing\, running\, interpreting\, and reporting MR studies. \nLocation: Wolfson Centre\, Bloomsbury.\nTutors: Dr Emma Anderson\, Dr Dylan Williams & Professor Neil Davies\, University College London\nGuest lecturer: Dr Eleanor Sanderson\, University of Bristol \nFeedback from previous years: \n“The entire course was excellent. Lots of helpful information\, engaging content\, very helpful and detailed practicals.”\n“The course leaders were all super helpful\, very kind and very knowledgeable – it was a great atmosphere.”\n“I was new to MR so it was very good experience to learn the basic concepts and appreciate the complexities as well.”\n“I thought the course was really engaging and interactive. It was nice that the group was relatively small. Teachers were motivated and very helpful.” \n\nRegister
URL:https://www.dementiaresearcher.nihr.ac.uk/event/mendelian-randomisation-training-course/
CATEGORIES:Training
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END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20260915
DTEND;VALUE=DATE:20260918
DTSTAMP:20260711T150525
CREATED:20260701T215326Z
LAST-MODIFIED:20260701T215326Z
UID:10002304-1789430400-1789689599@www.dementiaresearcher.nihr.ac.uk
SUMMARY:Introduction to Deep Learning - Online
DESCRIPTION:This is a hands-on introduction to the first steps in Deep Learning\, intended for researchers who are familiar with (non-deep) Machine Learning.  This introduction aims to cover the basics of Deep Learning in a practical and hands-on manner\, so that upon completion\, you will be able to train your first neural network and understand what next steps to take to improve the model. \nThe course covers:  \n\nWhat is deep learning?\nClassification by a neural network using Keras\nMonitor the training progress\nAdvanced layer types\nReal world application\n\nLearning Outcomes: \nIntroduction  \n\nDefine deep learning\nDescribe how a neural network is build up\nExplain the operations performed by a single neuron\nDescribe what a loss function is\nRecall the sort of problems for which deep learning is a useful tool\nList some of the available tools for deep learning\nRecall the steps of a deep learning workflow\nTest that you have correctly installed the Keras\, Seaborn and scikit-learn libraries\nUse the deep learning workflow to structure the notebook\n\nClassification by a neural network using Keras \n\nExplore the dataset using pandas and seaborn\nIdentify the inputs and outputs of a deep neural network.\nUse one-hot encoding to prepare data for classification in Keras\nDescribe a fully connected layer\nImplement a fully connected layer with Keras\nUse Keras to train a small fully connected network on prepared data\nInterpret the loss curve of the training process\nUse a confusion matrix to measure the trained networks’ performance on a test set\n\nMonitor the training process \n\nExplain the importance of keeping your test set clean\, by validating on the validation set instead of the test set\nUse the data splits to plot the training process\nExplain how optimization works\nDesign a neural network for a regression task\nMeasure the performance of your deep neural network\nInterpret the training plots to recognize overfitting\nUse normalization as preparation step for deep learning\nImplement basic strategies to prevent overfitting\n\nAdvanced layer types \n\nUnderstand why convolutional and pooling layers are useful for image data\nImplement a convolutional neural network on an image dataset\nUse a dropout layer to prevent overfitting\nBe able to tune the hyperparameters of a Keras model\n\nTransfer learning \n\nAdapt a state-of-the-art pre-trained network to your own dataset\n\nOutlook \n\nUnderstand that what we learned in this course can be applied to real-world problems\nUse best practices for organising a deep learning project\nIdentify next steps to take after this course\n\nPre-requisites: \nLearners are expected to have the following knowledge: \n\nBasic Python programming skills and familiarity with the Pandas package.\nBasic knowledge on machine learning\, including the following concepts: Data cleaning\, train & test split\, type of problems (regression\, classification)\, overfitting & underfitting\, metrics (accuracy\, recall\, etc.).\n\nSetup Instructions \nPlease follow the setup instructions here: https://carpentries-lab.github.io/deep-learning-intro/index.html#software-setup \nNote that software installation can take some time.  Please set up your python environment at least a day in advance of the workshop. If you encounter problems with the installation procedure\, ask your workshop organizers via email for assistance so you are ready to go as soon as the workshop begins. \nProgramme \n\nWhat is deep learning?\nClassification by a neural network using Keras\nMonitor the training progress\nAdvanced layer types\nReal world application\n\nThis course is taking place on 15-17 September from 09:00 – 17:00. \n\nCost: \nThe fee is: \n• £60 per day for students registered at university\n• £150 per day for staff at academic institutions\, Research Councils researchers\, public sector staff and staff at registered charity organisations and recognised research institutions\n• £350 per day for all other participants. \nIn the event of cancellation by the delegate a full refund of the course fee is available up to two weeks prior to the course. NO refunds are available after this date. \nIf it is no longer possible to run a course due to circumstances beyond its control\, NCRM reserves the right to cancel the course at its sole discretion at any time prior to the event. In this event every effort will be made to reschedule the course. If this is not possible or the new date is inconvenient a full refund of the course fee will be given. NCRM shall not be liable for any costs\, losses or expenses that may be incurred as a result of its cancellation of a course\, including but not limited to any travel or accommodation costs. \nThe University of Southampton’s Online Store T&Cs also continue to apply. \nWebsite and registration: \nRegister for this course
URL:https://www.dementiaresearcher.nihr.ac.uk/event/introduction-to-deep-learning-online/
CATEGORIES:Training
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END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20260916
DTEND;VALUE=DATE:20260918
DTSTAMP:20260711T150525
CREATED:20260220T180032Z
LAST-MODIFIED:20260218T120003Z
UID:10002116-1789516800-1789689599@www.dementiaresearcher.nihr.ac.uk
SUMMARY:NIHR School for Social Care Research Annual Conference
DESCRIPTION:Conference theme: Collaboration\, connection and community  \nWe are delighted to confirm that the next NIHR School for Social Care Research (SSCR) Annual Conference will be held in Bristol in September 2026. \nFollowing on from last year’s conference in York\, this conference will once again bring together researchers and a broad range of key partners\, collaborators and people with lived/ living experience to share evidence and on-going research in social care practice. The conference provides a valuable opportunity to network and hear about leading social care research including SSCR’s commissioned studies and the broader NIHR programme offer. \n\nDates and venue \n\nWednesday 16 and Thursday 17 September 2026\nWe The Curious\, One Millennium Square\, Anchor Road\, Bristol\, BS1 5DB\nVenue website\n\n\nCall for abstracts \nAbstract submissions for consideration are welcomed from across the full breadth of social care research and eligibility to submit is not limited to researchers/ institutions who are members of the current phase of the School. \nAbstracts from researchers at all career stages (including PhD students) are encouraged\, as are submissions from across the Three Schools programmes where significant social care elements are evident. We especially welcome abstracts for oral presentations which – where appropriate – would be co-presented with public and/ or practice partners. \nAll submissions will be peer reviewed and selected for oral presentation (15 mins\, plus time for Q&A)\, lightning talk (5 mins\, max five slides\, plus time for Q&A) or poster presentation. \n\nHow to submit your abstract for review\nAbstracts should be submitted via the online abstract submission form. \nIf for any reason you cannot access or complete the online form\, please download/ complete this Word version and submit it via email to sscr@york.ac.uk before the deadline. \n\n\nWhat are the reviewers looking for?\nPeer review will take account of: \n\nQuality and rigour\nRelevance to the conference title and theme\nOriginality and creativity of the approach\nStage of the research\nThe impact (potential or realised) of the study on social care policy\, practice and services\nThe impact (potential or realised) on people accessing care services\, their families and carers\n\n\nKey dates \n\nCall for abstracts opens – 11 February 2026\nCall closes – 30 April 2026 (17:00 GMT)\nAcceptance notifications – w/c 1 June 2026\nSubmission deadline for presentations/ posters\, if abstract accepted: 31 July 2026\n\n\nProgramme and registration \nThe outline programme will be published along with the general registration link in March 2026. \nThis event is free to attend and places are limited so please save the dates in your diary and book early when the registration link is circulated to avoid disappointment. \nTo receive the registration link directly to your inbox when it goes live\, please sign up to the SSCR mailing list. \nAny questions? Please contact us at sscr@york.ac.uk and we’ll get back to you.
URL:https://www.dementiaresearcher.nihr.ac.uk/event/nihr-school-for-social-care-research-annual-conference/
LOCATION:We The Curious\, One Millennium Square\, Anchor Road\, Bristol\, BS1 5DB\, United Kingdom
CATEGORIES:Conference
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ORGANIZER;CN="NIHR School for Social Care Research":MAILTO:sscr@lse.ac.uk
GEO:51.449795;-2.6004516
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END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20260916
DTEND;VALUE=DATE:20260919
DTSTAMP:20260711T150525
CREATED:20260209T160042Z
LAST-MODIFIED:20260209T160042Z
UID:10002092-1789516800-1789775999@www.dementiaresearcher.nihr.ac.uk
SUMMARY:1st German Fish Model Research Meeting
DESCRIPTION:Welcome to the inaugural German Fish Model Research Meeting\, a unique gathering that unites both the German and international research communities dedicated to using fish models such as zebrafish\, cavefish\, killifish\, medaka etc. \nThis event aims to foster collaboration\, share innovative ideas\, and advance our understanding of fish biology and its applications in. Join us for insightful discussions\, networking opportunities\, and a chance to connect with fellow researchers passionate about fish as model organisms. We look forward to seeing you there! \nhttps://www.germanfishmeeting.org/
URL:https://www.dementiaresearcher.nihr.ac.uk/event/1st-german-fish-model-research-meeting/
LOCATION:University of Heidelberg\, Grabengasse 1\, Heidelberg\, 69117\, Germany
CATEGORIES:Conference
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GEO:49.4112774;8.7061792
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END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20260917
DTEND;VALUE=DATE:20260918
DTSTAMP:20260711T150525
CREATED:20260503T070030Z
LAST-MODIFIED:20260503T091133Z
UID:10002072-1789603200-1789689599@www.dementiaresearcher.nihr.ac.uk
SUMMARY:Alzheimer's Society Annual Conference
DESCRIPTION:The Alzheimer’s Society Annual Conference 2026 will take place on Thursday 17 September 2026. The conference will be delivered in a hybrid format\, with options to attend in person at Convene\, 155 Bishopsgate\, London\, or to join online. \nThe event will bring together health and social care leaders\, policy makers\, campaigners\, researchers\, and people with lived experience at a key moment for dementia in the UK. \nDementia remains the UK’s leading cause of death and continues to affect individuals\, families\, and communities nationwide. \nWith significant developments underway\, 2026 presents an important opportunity to strengthen how dementia is prioritised across systems and services. Decisions made during this period will influence diagnosis\, care\, and support in the years ahead. \nThe conference will examine how evidence\, innovation\, and lived experience can be translated into practical policy change\, improved services\, and better outcomes for everyone affected by dementia. \n\nRegister
URL:https://www.dementiaresearcher.nihr.ac.uk/event/alzheimers-society-annual-conference-2/
LOCATION:Convene\, Convene\, 155 Bishopsgate\, London\, Greater London\, EC2N 4BQ\, United Kingdom
CATEGORIES:Conference
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GEO:51.5185888;-0.0798112
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Convene Convene 155 Bishopsgate London Greater London EC2N 4BQ United Kingdom;X-APPLE-RADIUS=500;X-TITLE=Convene\, 155 Bishopsgate:geo:-0.0798112,51.5185888
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/London:20260918T154500
DTEND;TZID=Europe/London:20260918T173000
DTSTAMP:20260711T150525
CREATED:20260701T215647Z
LAST-MODIFIED:20260701T215647Z
UID:10002305-1789746300-1789752600@www.dementiaresearcher.nihr.ac.uk
SUMMARY:UCL200 Dementia Research Showcase
DESCRIPTION:Join us for a screening of BBC documentary Jennings vs Alzheimer’s as part of the UCL200 Dementia Research Showcase. \n\n\n\n\nAs part of the UCL200 bicentennial celebrations\, we will be screening the BBC documentary The Jennings vs Alzheimer’s\, which explores the discoveries made by researchers at UCL and UCLH that have given hope for Alzheimer’s disease over the past four decades\, and the very special family that helped make it happen. \nThis will be followed by a Q&A session with Stuart Jennings\, Professor Nick Fox (Director of the UCL’s Dementia Research Centre) and Professor Cath Mummery (Head of Clinical Trials at UCL’s Dementia Research Centre). \nThe screening follows the UCL200 Dementia Research Showcase which will highlight the breadth and impact of dementia research at UCL – past\, present and future – through interactive booths from research groups around the university. \nTo register for the UCL200 Dementia Research Showcase\, please sign up here. \n\nRegister – https://www.eventbrite.co.uk/e/ucl200-dementia-research-showcase-bbc-jennings-vs-alzheimers-screening-tickets-1985385744206?aff=oddtdtcreator
URL:https://www.dementiaresearcher.nihr.ac.uk/event/ucl200-dementia-research-showcase/
LOCATION:UCL – B17 Basement LT\, 1-19 Torrington Place\, London\, Greater London\, WC1E 7HB\, United Kingdom
CATEGORIES:Public Discussion
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GEO:51.5218691;-0.134323
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