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X-WR-CALDESC:Events for RIOT Science Club
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DTSTART:20200101T000000
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BEGIN:VEVENT
DTSTART;TZID=UTC:20200402T120000
DTEND;TZID=UTC:20200402T130000
DTSTAMP:20260404T222050
CREATED:20200425T123907Z
LAST-MODIFIED:20200425T150925Z
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SUMMARY:Model selection using information criteria by Prof Daniel Stahl
DESCRIPTION:About the speaker \nProf Daniel Stahl is lead of the precision medicine and statistical learning research group in the Department of Biostatistics and Health Informatics. His main research interest is applying statistical and machine learning methods to identify predictors\, mediators and moderators of treatment success and the development of robust risk prediction models. \nAbout the talk \nProf Stahl’s talk will discuss model fitting problems\, focusing on ways to select your analytical model using information criteria.
URL:https://riotscience.co.uk/tribe-events/model-selection-using-information-criteria-by-prof-daniel-stahl/
LOCATION:MS Teams
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BEGIN:VEVENT
DTSTART;TZID=UTC:20200409T120000
DTEND;TZID=UTC:20200409T130000
DTSTAMP:20260404T222050
CREATED:20200406T154003Z
LAST-MODIFIED:20200425T150637Z
UID:37-1586433600-1586437200@riotscience.co.uk
SUMMARY:Fetishisation of RCTs by Professor David Papineau
DESCRIPTION:About the speaker \nProfessor David Papineau is a British academic philosopher who has worked in metaphysics\, epistemology\, and the philosophies of science\, mind\, and mathematics. He is one of the originators of the teleosemantic theory of mental representation\, a solution to the problem of intentionality which derives the intentional content of our beliefs from their biological purpose. In 1990\, David joined the Department of Philosophy at King’s College London as Professor of Philosophy of Science. \nAbout the talk \nMany medical practitioners view Randomized Controlled Trials as the only good way to establish causal conclusions. Not only is this a methodological mistake\, but it fosters the view that the end of greater medical knowledge justifies the means of patient deception. This talk will give examples.
URL:https://riotscience.co.uk/tribe-events/riot-science-club-rcts/
LOCATION:Zoom\, United Kingdom
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BEGIN:VEVENT
DTSTART;TZID=UTC:20200416T120000
DTEND;TZID=UTC:20200416T133000
DTSTAMP:20260404T222050
CREATED:20200415T124124Z
LAST-MODIFIED:20200425T150447Z
UID:71-1587038400-1587043800@riotscience.co.uk
SUMMARY:Registered Reports & F1000 by Emma Henderson & Demitra Ellina
DESCRIPTION:About the speakers \nEmma Henderson \nEmma is studying for her PhD in Psychology at Kingston University. She is interested in the use of heuristics in every day judgements and decisions. She is also interested in psychological methods\, meta-science and philosophy of science. Emma is passionate about improving the reliability of scientific research through using and promoting open science practices including pre-registration and open data. She is an Ambassador for the Center for Open Science\, a community committee member for Open Thesis. \nDemitra Ellina \nDemitra Ellina is the Editorial Community Manager at F1000 which she joined in 2017 after working in journal development at Springer Nature. She is a strong advocate of Open Research and engages with the research community to raise awareness of the F1000 publishing platforms. \nAbout the talk \nEmma will give a presentation entitled Ten reasons to write a Registered Report (now). Registered Reports (RR)\, a type of empirical article that is published based on the scientific merit of a preregistered protocol. Specifically\, before results are known\, and in principle acceptance is given to a prospective study and/or analysis plan following successful peer-review. Providing that the authors closely follow the protocol\, the final submitted manuscript is published: regardless of the results. Emma will expand on this description\, provide examples\, and give an overview of the impact RRs have had since their introduction in 2013 by the journal Cortex. \nThe talk will be a ~30-minutes pre-recording followed by a live Q & A. \nDemitra will give a live 10-minute talk on the wonderful work she does at F1000Research followed by a Q & A. She helps researchers understand Open Science practices and reproducibility at F1000Research\, which is the first publisher to integrate the Registered Report format using an open post-publication peer review model (the first RR we published is linked here). Alongside their open data policy\, this format helps enhance credibility while reducing researcher bias and supports reproducibility.
URL:https://riotscience.co.uk/tribe-events/registered-reports-f1000-by-emma-henderson-demitra-ellina/
LOCATION:MS Teams
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BEGIN:VEVENT
DTSTART;TZID=UTC:20200423T120000
DTEND;TZID=UTC:20200423T130000
DTSTAMP:20260404T222050
CREATED:20200414T000250Z
LAST-MODIFIED:20200425T150251Z
UID:61-1587643200-1587646800@riotscience.co.uk
SUMMARY:Octopus by Dr Alex Freeman
DESCRIPTION:About the speaker \nBefore joining the Winton Centre in 2016\, Alex Freeman had a 16-year career at the BBC\, working on series such as Walking with Beasts\, Life in the Undergrowth\, Bang Goes the Theory\, Climate Change by Numbers and as series producer of Trust Me\, I’m a Doctor. Her work won a number of awards\, from a BAFTA to a AAAS Kavli gold award for science journalism. In addition to developing and making television series\, Alex worked with associated content across a whole range of other media – designing websites\, games\, formal learning resources and social media content – to bring science to the widest possible audience. Now back at the Winton Centre she has a particular interest in helping professionals such as doctors\, journalists or legal professionals communicate numbers and uncertainty better\, and in whether narrative can be used as a tool to inform but not persuade. She is an advocate of open research practices and the reform of the science publishing system. \nAbout the talk \nAlex is going to talk about Octopus – her idea to create a new\, dedicated primary research record\, designed to incentivise good research practices and improve the scientific process. Instead of the traditional ‘paper’ being both the way to announce or ’sell’ conclusions and the primary record of exact\, replicable methods and data\, Alex will show how separating the latter into Octopus and breaking down the unit of publication from a paper into smaller publications could change the incentive structure\, speed up research and hence revolutionise science.  She will also\, hopefully\, demonstrate it as a working platform for the first time (hot-off-the-press)!
URL:https://riotscience.co.uk/tribe-events/octopus-by-dr-alex-freeman/
LOCATION:MS Teams
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BEGIN:VEVENT
DTSTART;TZID=UTC:20200430T120000
DTEND;TZID=UTC:20200430T130000
DTSTAMP:20260404T222050
CREATED:20200415T125638Z
LAST-MODIFIED:20200518T111805Z
UID:83-1588248000-1588251600@riotscience.co.uk
SUMMARY:Laboratory Efficiency Assessment Framework (LEAF) by Dr Martin Farley
DESCRIPTION:About the speaker \nRaised between France and the US\, Martin started down the path of becoming a researcher in his university years\, taking him to Canada\, the US\, and the Netherlands. This path was interrupted though when his passion for sustainability led him to become the UK’s (and Europe’s) first full-time sustainable laboratory specialist at the University of Edinburgh. After he moved south to London where he founded Green Lab Associates\, while establishing the sustainable labs program at King’s College London (where he was recognized with the Green Gown – Sustainability Professional award). Today he consults for a variety of institutions\, whilst regularly speaking and teaching on the topic. \nAbout the talk \nIn this talk\, Martin will go over The Laboratory Efficiency Assessment Framework (LEAF) which contains criteria surrounding improving the sustainability and efficiency of laboratories\, as well as calculators which allow users to estimate impacts. LEAF includes content to improve research integrity and is supported by the UK Reproducibility Network. This has been done in recognition that research which is not reproducible is unsustainable (waste of resources and effort) and that good practice steps can improve reproducibility. Universities which participated in LEAF’s pilot include Cambridge\, UCL\, King’s College London\, Imperial\, Edinburgh\, Glasgow\, Swansea\, The Crick Institute\, Manchester\, and more.
URL:https://riotscience.co.uk/tribe-events/leaf-by-dr-martin-farley/
LOCATION:MS Teams
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