October 2024 - lmu-osc - lists.lrz.de

LMU Wikipedia Editathon
by LMU Open Science Center News Oct. 24, 2024

Oct. 24, 2024

#----------------------- (English) Dear open knowledge enthusiasts, Do you want to contribute to making the LMU and its scientific achievements and projects more visible? Then join us for the closing event of our Hacky Hour series: 'a LMU Wikipedia Editathon', where you'll learn how to write articles on global knowledge platforms like Wikipedia and make LMU's research efforts more accessible. During this Editathon, you will learn how to document the diverse teams, institutes, and research projects that define the LMU on Wikimedia projects and therefore help increase public understanding of the university and its impact. When: Monday, November 25, 2024, 16:30-18:00 Where: WikiMUC, Angertorstraße 3, Munich Registration: https://www.pretix.osc.lmu.de/lmu-osc/edit-2024/ The Editathon will be held bilingually in German and in English. Computers will be provided, but feel free to bring your own laptop if preferred (Wi-Fi is available). The event is free of charge and open to everyone. A donation jar will be available for those who want to support WikiMUC. There will be pizza! For any questions or requests, please contact wikimuc(a)wikipedia.de<mailto:wikimuc@wikipedia.de>. You can also participate in discussions in advance on the Wikipedia event page https://de.wikipedia.org/wiki/Wikipedia:WikiMUC/2024-11-25_LMU-Editathon<https://www.pretix.osc.lmu.de/redirect/?url=https%3A//de.wikipedia.org/wiki…>, if you already have a Wikipedia account. In preparation for this exciting event, we are skipping the October Hacky Hour session. We look forward to seeing you at the Editathon in November! Best wishes Malika #----------------------- (Deutsch) Liebe Freunde von offenem Wissen, Möchten Sie dazu beitragen, die LMU und ihre wissenschaftlichen Leistungen und Projekte sichtbarer zu machen? Dann nehmen Sie am Abschlussevent der LMU Open Science Center Hacky Hour Reihe teil: einem "LMU Wikipedia Editathon", bei dem Sie lernen, wie man Artikel auf globalen Wissensplattformen wie Wikipedia verfasst und die Forschungsarbeit der LMU zugänglicher macht. Während dieses Editathons lernen Sie, wie Sie die verschiedenen Teams, Institute und Forschungsprojekte der LMU auf Wikimedia-Projekten dokumentieren und so das öffentliche Verständnis der Universität und ihrer Bedeutung verbessern. Wann: Montag, 25. November 2024, 16:30-18:00 Wo: WikiMUC, Angertorstraße 3, München Anmeldung: https://www.pretix.osc.lmu.de/lmu-osc/edit-2024/ Der Editathon findet bilingual auf Deutsch und auf Englisch statt. Computer werden bereitgestellt, aber Sie können auch gerne Ihren eigenen Laptop mitbringen (WLAN ist verfügbar). Die Veranstaltung ist kostenlos und für alle offen. Eine Spendenbox wird zur Unterstützung von WikiMUC bereitgestellt. Es gibt auch Pizza! Bei Fragen oder Anfragen können Sie uns unter wikimuc(a)wikipedia.de<mailto:wikimuc@wikipedia.de> kontaktieren. Wenn Sie bereits ein Wikipedia-Konto haben, können Sie sich auch im Voraus an den Diskussionen auf der Wikipedia-Eventseite beteiligen: https://de.wikipedia.org/wiki/Wikipedia/2024-11-25_LMU-Editathon<https://de.wikipedia.org/wiki/Wikipedia:WikiMUC/2024-11-25_LMU-Editathon>. Zur Vorbereitung auf dieses spannende Event lassen wir die Hacky Hour im Oktober ausfallen. Wir freuen uns darauf, Sie beim Editathon im November zu sehen! Viele Grüße, Malika -- Dr. Malika Ihle (she/her) (pronounciation<https://namedrop.io/malikaihle>) LMU Open Science Center Coordinator Website: https://www.osc.lmu.de<https://www.osc.lmu.de/> Mailing list: https://lists.lrz.de/mailman/listinfo/lmu-osc Computing skill self-paced tutorials: https://github.com/lmu-osc Workshops material: https://osf.io/zjrhu/ Bluesky: https://bsky.app/profile/lmu-osc.bsky.social LinkedIn: https://www.linkedin.com/company/lmu-open-science-center Mastodon: https://scicomm.xyz/@lmu_osc

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2-day event: Navigating the landscape of scientific integrity in the field of Medicine Nov 27-28
by LMU Open Science Center News Oct. 22, 2024

Oct. 22, 2024

Dear all, Please find below and in the attached pdf the program of a 2-day in person event that OSC members Sabine Hoffmann and Anne-Laure Boulesteix organise with the Center for Advanced Studies (CAS) at LMU Munich on November 27-28, 2024. There will be 17 exciting talks from the fields of statistics, medicine, computer science and meta-research. The event is part of the CAS Research Focus "Medical Data Processing<https://www.cas.lmu.de/en/programs/cas-research-focuses/medical-data-proces…>" and will take place in the CAS building in Munich, Seestraße 13 (Schwabing). If you want to attend the event, please register at info(a)cas.lmu.de<mailto:info@cas.lmu.de>. Navigating the Landscape of Scientific Integrity: Insights into open science, replicability, data sharing and questionable research practices in the field of medicine Wednesday, 27 November 2024 9.00 - 9.20 Welcome Address Lena Bouman (CAS LMU) and Sabine Hoffmann (LMU) 9.20 - 10.10 Reinhard Griebenow (European Cardiology Section Foundation) Trust in Medicine 10.10 - 11.00 Balazs Aczel (ELTE Budapest) The World of Multiple Results: What Multi-Analyst Studies Tell Us 11.00 - 11.30 Coffee Break 11.30 - 11.45 Eva Hoster (LMU) Reproducible Clinical Trials: Practices and Challenges 11.45 - 12.00 Fady Albashiti (LMU) Clinical Real World Data: Experiences and Challenges 12.00 - 12.15 Rainer Malik (LMU) Lessons Learned from Large International Genomics Consortia 12.15 - 12.45 Discussion 12.45 - 13.45 Lunch Break 13.45 - 14.35 Leonhard Held (Universität Zürich) The Different Dimensions of Irreproducible Research - Some Recent Examples 14.35 - 15.05 Michael Schomaker (LMU) Comparing Apples with Apples and Allowing for Gradations of Evidence: Replicability Illustrated in the Context of Pharmacoepidemiology 15.05 - 15.35 Coffee Break 15.35 - 15.50 Luisa Jimenez Soto (LMU) >From 20th-Century Science Practices to Open Science in Infection Biology: Challenges and Lessons We Are Learning 15.50 - 16.05 Michael Ingrisch (LMU) A Replication Case Study 16.05 - 16.20 Enzo Lüsebrink (LMU) title tba 16.20 - 17.00 Discussion 17.00 - 18.00 Reception Thursday, 28 November 2024 9.00 - 9.50 Ulrich Mansmann (LMU) >From Reporting to Data Sharing: "Strategies to Consolidate Scientific Findings 9.50 - 10.40 Sarah Friedrich (Universität Augsburg) Synthetic Data in Medicine - Properties, Promises and Challenges 10.40 - 11.10 Coffee Break 11.10 - 12.00 Jörg Drechsler (LMU) Some Challenges with Differential Privacy in Medicine (That Don't Exist in the Tech World) 12.00 - 12.30 Discussion Data Sharing 12.30 - 13.30 Lunch Break 13.30 - 14.20 Laure Wynants (Maastricht University) Clinical Risk Prediction Models and Machine Learning. Benefiting Clinical Practice or Piling up Research Waste? 14.20 - 15.10 Willi Sauerbrei (Universität Freiburg) Guidance for Analysis, Study Registration and Structured Reporting - Factors which Increase Trustworthiness in Results from Observational Studies 15.10 - 15.40 Coffee Break 15.40 - 16.30 Michal Abrahamowicz (McGill University) Examples of Irresponsible and/or Incompetent Reviews of the Methodological Aspects of Medical Studies 16.30 - 17.20 Tim Morris (University College London) Estimands, Analysis Plans, Sense and Sensitivity 17.20 - 17.30 Wrap-up and Closing Anne-Laure Boulesteix (LMU) Best wishes Malika -- Dr. Malika Ihle (she/her) (pronounciation<https://namedrop.io/malikaihle>) LMU Open Science Center Coordinator Website: https://www.osc.lmu.de<https://www.osc.lmu.de/> Mailing list: https://lists.lrz.de/mailman/listinfo/lmu-osc Computing skill self-paced tutorials: https://github.com/lmu-osc Workshops material: https://osf.io/zjrhu/ Bluesky: https://bsky.app/profile/lmu-osc.bsky.social LinkedIn: https://www.linkedin.com/company/lmu-open-science-center Mastodon: https://scicomm.xyz/@lmu_osc

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1-day event: Epistemic Foundations and Limitations of Statistics and Science - Explaining the Replication Crisis? Nov 22
by LMU Open Science Center News Oct. 17, 2024

Oct. 17, 2024

Dear all, The Open Science Initiative in Statistics (OSIS<https://www.statistik.uni-muenchen.de/institut/osis/index.html>) at LMU's Department of Statistics, together with the Munich Center for Machine Learning (MCML<https://mcml.ai/>), is organizing a small, discussion-oriented event on "Epistemic Foundations and Limitations of Statistics and Science - Explaining the Replication Crisis?" on November 22nd. The aim of the event is to bring together statisticians, philosophers of science, and other interested researchers to discuss aspects of Open Science and the replication crisis from an epistemic perspective on the foundations and limitations of statistics (see website<https://sites.google.com/view/epix-workshop/> for more details). At a glance * Who: Statisticians, philosophers of science, and other statistically-methodologically-epistemically interested researchers * What: Series of talks (ca. 20 minutes + 15 minutes discussion) * Where: LMU Munich (near main building) * When: Friday, November 22nd, 2024 Invited talks (exact titles TBD) * Sabina Leonelli<https://www.professoren.tum.de/en/leonelli-sabina> (TU Munich): "What reproducibility can’t solve" * Uwe Saint-Mont<https://www.hs-nordhausen.de/en/contact-directory/saint-mont-uwe-prof-dr-2/> (HS Nordhausen): "How Feynman Predicted the Replication Crisis" * Walter Radermacher<https://www.isi-web.org/ethics> (Advisory Board on Ethics of the International Statistical Institute and LMU Munich): “Epistemology and Sociology of Quantification based on Convention Theory” * Michael Schomaker<https://michaelschomaker.github.io/> (LMU Munich): “Replicability When Considering Unconditional Interpretations and Gradations of Evidence” * Rudolf Seising<https://www.deutsches-museum.de/forschung/person/rudolf-seising-2> (Deutsches Museum): “An Interwoven History of AI and Statistics” To join the discussion, please register by October 31st at https://www.pretix.osc.lmu.de/lmu-osc/osis2024<https://www.pretix.osc.lmu.de/lmu-osc/osis2024/>. Seats will be given on a first-register, first-serve basis. The current program allows some room for further talks – please reach out to epix.workshop(a)stat.uni-muenchen.de<mailto:epix.workshop@stat.uni-muenchen.de> if you would like to add your perspective to the workshop. We are looking forward to a fruitful exchange on this important topic with experts from across the field! Kind regards, Moritz Herrmann, MCML Open Source and Open Data Transfer Coordinator Patrick Schenk, PhD Candidate Social Data Science and AI Lab, LMU Lisa Wimmer, PhD Candidate Statistical Learning & Data Science, LMU

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Data Management Halloween Escape Room
by LMU Open Science Center News Oct. 15, 2024

Oct. 15, 2024

Greetings! Are you interested in unsolved mysteries? Do you like collaborative games and escape rooms? And you may or may not have heard of something called (Research) Data Management? Then you should try the “Data (Horror) Escape Room”, developed by VU Amsterdam, Eindhoven University of Technology and Leiden University. We invite you to an online event where you have the once-in-a-lifetime opportunity to meet fellow students from FAU, LMU and TUM to work together in teams to find your way through the scary world of data management and – as a benefit – learn many useful things that will make your university life easier. * What's to be won: Fame, glory and bragging rights. * What’s there to lose: Fear of Data Management. Join us on Halloween (31.10.) at 10:00 am sharp in Zoom! You can register here: https://lmu-munich.zoom-x.de/meeting/register/u5wsduCqqjIuGNbGHiN_ft5Aesje2… For questions, contact: rdm(a)ub.uni-muenchen.de<mailto:rdm@ub.uni-muenchen.de> ________________________________ Schaurige Grüße! Interessieren Sie sich für ungelöste Rätsel? Mögen Sie kooperative Spiele und Escape Rooms? Und haben Sie vielleicht schon einmal von etwas gehört, das sich (Forschungs-)Datenmanagement nennt? Dann sollten Sie den "Data Horror Escape Room" ausprobieren, der von namhaften niederländischen Universitäten (Amsterdam, Leiden, Eindhoven) entwickelt wurde. Wir laden Sie zu einem Online-Escape-Room ein, in dem Sie die Gelegenheit haben, Studienkollegen von FAU, LMU und TUM zu treffen. Sie arbeiten in Teams zusammen, um Ihren Weg durch die gruselige Welt des Datenmanagements zu finden und – als Bonus – nützliche Dinge zu lernen, die Ihr Universitätsleben vielleicht einfacher machen werden. * Was gibt es zu gewinnen: Ruhm und Ehre. * Was gibt es zu verlieren: Angst vor Datenmanagement. * Welche Voraussetzungen sollten vorhanden sein: Englischkenntnisse Besuchen Sie uns an Halloween (31.10.) um 10:00 Uhr (s.t.) in Zoom. Sie können sich über diesen Zoom-Link schon vorab anmelden: https://lmu-munich.zoom-x.de/meeting/register/u5wsduCqqjIuGNbGHiN_ft5Aesje2… Bei Fragen wenden Sie sich an: forschungsdaten(a)ub.uni-muenchen.de<mailto:forschungsdaten@ub.uni-muenchen.de> ________________________________ FDM-Beratung Ludwig-Maximilians-Universität Universitätsbibliothek Abteilung Digitale Dienste Geschwister-Scholl-Platz 1, 80539 München Tel.: +49 89 2180-3560 E-Mail: forschungsdaten(a)ub.uni-muenchen.de<mailto:forschungsdaten@ub.uni-muenchen.de>

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