February 2024 - lmu-osc

multiverse analyses: lecture + workshop, March 14 and 15
by LMU Open Science Center News March 11, 2024

March 11, 2024

Dear quantitative researchers We are pleased to announce that a lecture and a workshop on multiverse analyses are open for registration! Participants to the (solely in person) workshop need to attend the lecture prior, but that (hybrid) lecture is open to all! Hybrid lecture: "Increasing transparency through preregistration and/or multiverse analyses" by Prof. Dr. Andrea Hildebrandt (Carl von Ossietzky Universität Oldenburg) Thursday March 14, 16:00-17:00, Munich, Leopoldstraße 13, room 2201<https://www.lmu.de/raumfinder/#/building/bw0601/map?room=060202201_> and on Zoom Registration: https://www.pretix.osc.lmu.de/lmu-osc/multiverse-L/ Abstract: Pre-registering an analysis plan means committing to analytical steps without knowing the results of the research. Multiverse analysis means committing to multiple, defensible analytical steps and investigating the robustness of the results across analytical choices. Assuming that all listeners are familiar with 'The preregistration revolution' (Nosek et al., 2018, PNAS), after a brief introduction to the rationale for multiverse analysis, I will argue in this talk that the two proposed tools for the credibility revolution (pre-registration and multiverse analysis) should be used together. In person workshop: "Making the black box transparent: Multiverse analysis and visualizations in R" by Prof. Dr. Andrea Hildebrandt and Dr. Cassie Short (Carl von Ossietzky Universität Oldenburg) Friday March 15, 9:00-12:00, Munich, Leopoldstraße 13, room 2201<https://www.lmu.de/raumfinder/#/building/bw0601/map?room=060202201_> Registration: https://www.pretix.osc.lmu.de/lmu-osc/multiverse-W/ Abstract: To describe the multitude of researchers' methodological choices when analyzing data, Gelman and Loken (2013) coined the term "garden of forking paths". Multiple defensible alternative options are available for selection throughout the study design, data preprocessing and data analysis workflow. In line with a traditional analysis approach, researchers will select one sole workflow of defensible options and often do not specifically disclose how the decisions were made. However, a multiple comparison problem occurs even if only one constructed dataset following one single workflow of decisions is used for statistical inferences. The reason is that theoretically a large variety of workflows are possible, but researchers do not correct their hypothesis tests for potential comparisons that they did not explicitly carry out. Recently, statistical approaches have been proposed to explore and integrate multiple inferential results accumulated along forking paths. Multiverse analysis (Steegen et al., 2016) refers to repeated hypothesis testing on the multitude of datasets resulting from different defensible decisions regarding, for example, variable selection, categorization, transformation, outlier selection, etc. After combining all potential choices by simple rules of combinatorics, contradictory combinations are eliminated. Datasets created on the basis of the remaining set of combinations are then submitted to statistical analyses along a looped pipeline. Results provide as many outcomes of statistical tests as datasets created in the multiverse. These can then be visualized to understand how statistical conclusions depend on methodological decisions or they can be statistically integrated. In this workshop, unexperienced attendees who attended the lecture on the previous day will be guided through an implementation example of multiverse analyses on the R Software for Statistical Computing. There will be time for exercises and discussions. Workshop materials and necessary R packages will be shared in advance and participants are expected to join the workshop with their own laptops. Target audience: Scientists from any discipline who apply statistical models in the framework of regression analysis, without prior experience with multiverse analysis implementations. Prerequisites: Basic statistics (including GLM) and statistical programming skills in R are required. 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 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 Twitter: https://twitter.com/lmu_osc Please note that I will only work in the afternoons from 08.01. to 28.02.2024.

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DataFest Germany 2024 - Call for Applications
by LMU Open Science Center News Feb. 28, 2024

Feb. 28, 2024

Attention Bachelor's and Master's students of all disciplines: Call for Applications: DataFest Germany 2024 Come and be part of the thrilling 7th edition of DataFest Germany, set to take place from April 5th to 7th, 2024, at the University of Mannheim. This event is a joint effort, brought to you by the Chair for Statistics and Data Science in Social Sciences, the Mannheim Center for Data Science, and the Ludwig Maximilian University in Munich. What is DataFest Germany? DataFest Germany is a premier data-based competition, commonly referred to as a "hackathon," held annually on a rotational basis between Mannheim and Munich. Coordinated in partnership with industry leaders and research institutions, this event provides Bachelor and Masters-level students from all disciplines with a unique opportunity to showcase their data analytics skills. How Does It Work? Teams of 3–5 students will have 48 hours to dive into a comprehensive dataset, revealed only at the beginning of the event. Through visualization, analysis, modeling, and more, participants will strive to uncover valuable insights. After the competition, teams will present their findings to a distinguished panel of judges comprising data experts from various fields. Prizes will be awarded across categories such as "Best Insight," "Best Visualization," and "Best Use of Outside Data." Support and Networking Opportunities: Throughout the competition, students will receive guidance from the University of Mannheim's experts in statistics and computer science, as well as professional consultants from external partner institutions. Moreover, participants will have the chance to connect with potential employers at the event's internal CareerFair, enhancing their career prospects in the dynamic field of data science. DataFest Germany is part of a global tradition, inspired by the work of the American Statistical Association. Since its inception at the University of California in 2011, DataFest has spread worldwide, with universities across the globe embracing its format. Join this celebration and register here: https://www.uni-mannheim.de/datascience/registration-datafest-germany-2024/ 𝗥𝗲𝗴𝗶𝘀𝘁𝗿𝗮𝘁𝗶𝗼𝗻 𝗱𝗲𝗮𝗱𝗹𝗶𝗻𝗲: March 15, 2024 More information: https://www.uni-mannheim.de/en/datascience/events/datafest-2024/#c360669 For any questions, please feel free to contact: datafest(a)uni-mannheim.de<mailto:datafest@uni-mannheim.de> [cid:image003.png@01DA6A52.812EEE50] Kind regards on behalf of Dr. Luis Mejia Lopez (Coordinator of DataFest Germany 2024) Veronica Haas (she/her | de, en, it) Communications and Dissemination Officer [cid:image004.jpg@01DA6A52.812EEE50] University Library University of Mannheim D – 68131 Mannheim phone +49-621-181-2719 Website: www.berd-nfdi.de<http://www.berd-nfdi.de/> ...................................................................

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Hacky Hour on MONDAY: "Version control"
by LMU Open Science Center News Feb. 22, 2024

Feb. 22, 2024

Hacky Hour on MONDAY: "Version control" Work on your problems related to the session's theme with the help of others. Have you attended a Git workshop but didn't implement it in your daily workflow? Have you learned to use GitHub but want to use GitLab? Have you learned to use Git in a GUI but want to use the command line for more complex tasks? Anyone from any level and discipline is welcome! When: Monday Feb 26, 2024, 16:30-18:00 Where: in person at Wikipedia Munich, Angertorstraße 3 Possible resources for your hack: * Beginner: https://malikaihle.github.io/Introduction-RStudio-Git-GitHub/ and https://malikaihle.github.io/Collaborative-RStudio-GitHub/ * Advanced: https://happygitwithr.com/ and a game: https://ohmygit.org/ Sessions' agenda: * Brief round of introductions and description of the problems you'll be working on during that session * Formation of groups or tandems to exchange tips on specific problems * Hack * Wrap-up: progress and next steps Come along to talk about code, research tools, and open science in a social environment! Learn more about the Hacky Hour initiative here: https://www.osc.uni-muenchen.de/members/hackyhour/index.html Subscribe to the dedicated mailing list to decide on future topics here: https://lists.lrz.de/mailman/listinfo/hackyhour -- 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 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 Twitter: https://twitter.com/lmu_osc Please note that I will only work in the afternoons from 08.01. to 28.02.2024.

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Munich Research Software Engineering session on Thursday, Feb 22 at MPDL
by LMU Open Science Center News Feb. 20, 2024

Feb. 20, 2024

Dear Research Software Engineers or alike - in and around Munich, There is a monthly meetup for and with Research Software Engineers (RSE) and people interested in research software in the greater Munich area. You can sign up to their mailing list here: https://lists.lrz.de/mailman/listinfo/rse There you’ll get the opportunity to shape the future of RSE as a role, learn from technical and big-picture talks, and expand your network making friends from all over the spectrum of application fields. Their next meet up is on Thursday, February 22, this time not in LMU building but in the Max Planck Digital Library. Sign up via: https://pad.okfn.de/p/rse-muc-meetup1-24 Agenda: - 16:50-17:00: People arrive (ask in the lobby) - 17:00-18:45: Lightning Talks and discussion - Björn Brötz (DLR): Electronic lab notebook - Benjamin Rodenberg (TUM): CodeOcean, Binder and Reproducible Python - 18:45-19:00: Moving to the restaurant - 19:00-open: Stammtisch-style discussions ;) - Restaurant Laimers: https://www.laimers.com/ Location: Max Planck Digital Library (MPDL) Landsberger Straße 346 80687 München https://maps.app.goo.gl/rZ46Zb7PdEicDJXt9 This session is organized by Michael Franke (MDPL). Let us know if you would like to organize and host the next session in April. Best regards, Gerasimos Chourdakis -- Gerasimos Chourdakis, M.Sc. Technical University of Munich School of Computation, Information and Technology Chair of Scientific Computing Boltzmannstr. 3, 85748 Garching, Germany Office: MI 02.05.060 Website: https://www5.in.tum.de/~chourdak preCICE on GitHub: https://github.com/precice

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Workshop: Reproducible manuscripts with Quarto, 06.03. 14:00-16:00
by LMU Open Science Center News Feb. 20, 2024

Feb. 20, 2024

Workshop: "Reproducible manuscripts with Quarto" by Dr. Florian Pargent and Florian Kohrt When: 06. March 2024, 14:00-16:00 Hybrid: room 3322, Leopoldstr 13, Munich and Zoom Registration: https://www.pretix.osc.lmu.de/lmu-osc/quarto/ Abstract: Quarto makes transparent and reproducible data analysis simple and fun. In a nutshell, Quarto lets you mix text written in markdown with chunks of executable code written in, e.g., R or Python. You can use it for interactive notebooks, and export to a large number of formats including HTML, PDF/LaTeX, Microsoft Word or PowerPoint, or even interactive websites. In this workshop, we cover the fundamentals, including the markdown syntax, code chunks and inline code, and the output formats available. We also go over citations, cross-referencing, and templating, which ultimately allow you to write academic papers entirely in Quarto. The self-paced tutorial for this workshop can be found here: https://florianpargent.github.io/Quarto_LMU_OSC/ Participants: The targeted audience are total novices or intermediate users of literate programming tools (e.g. Rmarkdown, Quarto), who program (at any level) in R, Python, or Julia, and preferentially use RStudio (although VS Code, Jupyter, Neovim or other text editor are also suitable). Ideally, participants already know of or use version control. Requirement: Participants must have their own laptop with admin access. Software will be installed as part of the workshop. -- 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 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 Twitter: https://twitter.com/lmu_osc Please note that I will only work in the afternoons from 08.01. to 28.02.2024.

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Love Data Week 12.-16.02.2024 – Veranstaltungen der LMU München
by LMU Open Science Center News Feb. 8, 2024

Feb. 8, 2024

Love Data Week 2024 – Veranstaltungen der LMU München Die Love Data Week findet in diesem Jahr unter dem Motto „My Kind of Data“ vom 12. – 16. Februar statt und auch die Universitätsbibliothek der LMU München beteiligt sich wieder mit Veranstaltungen an der Aktionswoche. Mehr Infos zu Inhalten und Anmeldung gibt es hier: Montag, 12.02.2024, 14:00-15:00 Uhr Introduction to Research Data Management Abstract: Research data are a central aspect of academic work and research data management (RDM) is playing an increasingly important role in everyday research. But what exactly is meant by research data and how can effective RDM be structured? This online event will use the research data lifecycle and FAIR principles to introduce the basics of RDM and will highlight tools available to help you plan, handle, and publish data. Sprache: englisch Teilnahmebedingungen: öffentlich und alle Zielgruppen Registrierung: https://lmu-munich.zoom-x.de/meeting/register/u5Yrfu2qpz4tEtXnX-EHhvsWyVsJ_… Donnerstag, 15.02.2023, 10:00 – 11:00 Uhr Datenkompetenz in Wissenschaftseinrichtungen: Wie Bibliotheken ihre Nutzerinnen und Nutzer im Umgang mit Daten unterstützen können Abstract: Big Data und Data-Driven-Science spielen in der Forschung eine immer wichtigere Rolle. Die Daten, auf denen diese Forschung basiert, sind jedoch oft nicht zugänglich oder nicht nachnutzbar. Bibliotheken können hier eine wichtige Rolle spielen, indem sie Forschungsdaten verwalten und zugänglich machen. Im Vortrag werden zunächst die Herausforderungen des Forschungsdatenmanagements beleuchtet. Anschließend wird die Rolle der Bibliotheken in diesem Bereich diskutiert. Im zweiten Teil der Veranstaltung wird am Beispiel der Universitätsbibliothek der LMU München gezeigt, welche Voraussetzungen an Bibliotheken für den Aufbau einer FDM-Beratung bestehen und wie diese dazu beitragen können, einen gut funktionierenden Beratungsservice zu etablieren. In einer Art “Werkstattbericht” wird ein Einblick in die Arbeit und Workflows des Beratungsteams der LMU gegeben. Ein Fokus liegt dabei auf den Modellen, die sich bei der fachspezifischen Beratung bewährt haben. [Eine gemeinsame Veranstaltung der Universitätsbibliotheken der FAU Erlangen-Nürnberg und der LMU München] Sprache: deutsch Teilnahmebedingungen: öffentlich (Zielgruppe: Mitarbeitende in Bibliotheken und Wissenschaftseinrichtungen) Registrierung: https://lmu-munich.zoom.us/meeting/register/u5ckcOmppjIjHNVWJcjapYGvRlNnF6p… Freitag, 16.02.2024, 11:00-12:00 Uhr Wissenschaftliches Arbeiten – effiziente Recherche und strukturiertes Datenmanagement Abstract: Wissenschaftliches Arbeiten gehört im Studium einfach dazu und keiner kommt so wirklich drumherum. Die erste Hausarbeit bzw. vielleicht sogar die Bachelorarbeit steht an – Was tun? Wie anfangen? Woher die Informationen? Wie das eigene Vorgehen und die Daten auch langfristiger verständlich strukturieren? Diese Veranstaltung kann Ihnen wichtige Vorgehen und Tipps an die Hand geben, um das wissenschaftliche Arbeiten effizient und strukturiert anzugehen. Im ersten Teil der Veranstaltung wird auf die Informationsrecherche in Internet, Bibliothekskatalog und Datenbank eingegangen und dabei die Kunst des effizienten Recherchierens vermittelt. Der zweite Teil bezieht sich auf die strukturierte Datenablage bzw. das Datenmanagement. Themen hier sind insbesondere eine entsprechende Dateiablage und -benennung, sowie die Datensicherung durch die Einhaltung von Backup-Regeln. Sprache: deutsch Teilnahmebedingungen: öffentlich (Zielgruppe: Bachelorstudierende) Registrierung: https://lmu-munich.zoom-x.de/meeting/register/u5UldeyoqTgvEtBSLrylN8Rlb1IB2… Ergänzend zu den Veranstaltungen wird die Love Data Week 2024 auch in den sozialen Medien begleitet: https://twitter.com/fdm_bayern/ und https://openbiblio.social/@fdm_bayern Ein ausführliches Programm zur Love Data Week gibt es bei FDM-Bayern (https://www.fdm-bayern.org/projekte/ehumanities-interdisziplinaer/love-data…) sowie forschungsdaten.info (https://forschungsdaten.info/fdm-im-deutschsprachigen-raum/love-data-week-2…) Wir freuen uns über eine Teilnahme und wünschen schon einmal eine schöne Love Data Week! Das Team der FDM-Beratung der UB der LMU München (forschungsdaten(a)ub.uni-muenchen.de<mailto:forschungsdaten@ub.uni-muenchen.de>)

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two student assistant positions to be filled immediately: Peer-to-Peer Junior Trainer for Reproducible Data Analysis Workshop
by LMU Open Science Center News Feb. 6, 2024

Feb. 6, 2024

Dear reproducible data analysis enthusiasts, The LMU Open Science Center is looking to hire as soon as possible one or two student assistants (HiWi) for a project funded by the Berkeley Initiative for Transparency in the Social Sciences (BITSS) and awarded to OSC member Dr Anne-Kathrin Kleine. Please do circulate the announcement in attachment to bachelor or masters students (from LMU or elsewhere in Germany) who may be interested in becoming Peer-to-Peer Junior Trainer for Reproducible Data Analysis Workshop. Thanks and 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 Bluesky: https://bsky.app/profile/lmu-osc.bsky.social (ask me for an invite link!) LinkedIn: https://www.linkedin.com/company/lmu-open-science-center Mastodon: https://scicomm.xyz/@lmu_osc Twitter: https://twitter.com/lmu_osc Please note that I will only work in the afternoons from 08.01. to 28.02.2024.

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Workshop: theory formalization 23.02. PM
by LMU Open Science Center News Feb. 2, 2024

Feb. 2, 2024

Workshop: From stories to models - (how) can we formalize "narrative theories"? by Prof Daniel Leising from Technische Universität Dresden When: 23.02.2024, 13:00-17:00 Hybrid: room 3322, Leopoldstr 13, Munich and Zoom Registration: https://www.pretix.osc.lmu.de/lmu-osc/formalise-theory/ Abstract: There is growing consensus that psychology and other fields need to better specify their theories, and formalization offers a promising path to achieving that goal. I will briefly talk about the advantages of formal models over narrative ones, and present a few examples from my own lab in which such a formalization was attempted more or less successfully. However, the largest part of the workshop shall be reserved for participants working on formal versions of narrative theory paragraphs that they themselves pick and bring along. As this is likely to be a relatively new kind of challenge to most participants, and given that formalization can actually be fairly difficult, the overall objective is not to achieve perfect results, but rather to get people interested in this crucial type of work, and to help them overcome initial hesitations they may have to invest their valuable time and energy into it. Target audience: scientists of all career levels (students to PIs) from the fields of psychology, philosophy, sociology, etc. Agenda: 60 m Intro ; 15 m Break ; 75 m First Round Practice ; 15 m Break ; 75 m Second Round Practice Logistics: There are no prerequisites. The format of the session is hybrid (you can attend online or in person). The event will be held in English, unless there are only German native speakers in the room. Participation in the workshop is free and open to all. Priority will be given to, in order, members of Departments sponsoring the Open Science Center (Department of Psychology, Business Administration, Biology), other LMU members, and non-LMU members. Non-members will receive confirmation whether their attendance is possible at least 2 days before the workshop. -- 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 Bluesky: https://bsky.app/profile/lmu-osc.bsky.social (ask me for an invite link!) LinkedIn: https://www.linkedin.com/company/lmu-open-science-center Mastodon: https://scicomm.xyz/@lmu_osc Twitter: https://twitter.com/lmu_osc Please note that I will only work in the afternoons from 08.01. to 28.02.2024.

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