Kรผrzlich wurde die zweite Version der ๐๐ฒ๐ฟ๐ป๐๐ถ๐ฒ๐น๐บ๐ฎ๐๐ฟ๐ถ๐ ๐ณรผ๐ฟ ๐ฑ๐ฎ๐ ๐๐ผ๐ฟ๐๐ฐ๐ต๐๐ป๐ด๐๐ฑ๐ฎ๐๐ฒ๐ป๐บ๐ฎ๐ป๐ฎ๐ด๐ฒ๐บ๐ฒ๐ป๐ (https://zenodo.org/records/8010617) auf Deutsch und Englisch vorgestellt. Diese Matrix bietet einen umfassenden รberblick รผber relevante Themen im Forschungsdatenmanagement sowie vorgeschlagene Lernziele, die auf verschiedene Zielgruppen zugeschnitten sind.
Wir freuen uns, Mitglieder der NFDI- und Forschungsdatenmanagement-Community zu einem ๐๐๐๐๐ ๐ข๐๐ฅ ๐๐ผ๐บ๐บ๐๐ป๐ถ๐๐ ๐๐๐ฒ๐ป๐ als ๐๐๐ป๐ฐ๐ต-๐๐ผ-๐๐๐ป๐ฐ๐ต-๐ ๐ฒ๐ฒ๐๐ถ๐ป๐ด einzuladen, um gemeinsam an der Lernzielmatrix zu arbeiten, sie weiterzuentwickeln und als Standard zu etablieren.
Eine Webinar-Reihe zur European Open Science Cloud (EOSC), zu Zielen, Zukunftsperspektiven und Beteiligungsmรถglichkeiten
Die Europรคische Open Science Cloud (EOSC) ist eine wegweisende Initiative, die darauf abzielt, einen integrativen und offenen Raum fรผr den Austausch und die Nutzung von Forschungsdaten in Europa zu schaffen.
Drei kostenfreie EOSC Coffee Lectures der ZBW vermitteln Klarheit darรผber, was die EOSC ist und was sie nicht ist, stellen den aktuellen Stand sowie relevante Entwicklungen im Zusammenhang der EOSC vor und zeigen auf, wie man sich in die Aktivitรคten der EOSC einbringen kann.
Die EOSC Coffee Lectures laden alle ein, die sich in ihrer wissenschaftlichen Tรคtigkeit mit Forschungsdaten befassen oder an der Umsetzung und dem Betrieb von Forschungsdateninfrastrukturen beteiligt sind.
Die Coffee Lectures werden gehalten von Prof. Dr. Klaus Tochtermann. Prof. Dr. Klaus Tochtermann ist unter anderem Mitglied im Board of Directors der EOSC Association (EOSC-A), Co-Sprecher von BERD@NFDI und Mitglied im NFDI-Senat.
1. EOSC Coffee Lecture: โWas ist die EOSC und welche Ziele verfolgt sie?โ
Datum: Dienstag, 30. Januar 2024 Uhrzeit: 16:00-17:00
Inhalte:
Entstehungsgeschichte der EOSC
Klรคrung: Was ist die EOSC (und was ist sie nicht)
Understanding data policies of economic and social science journals.
Speakers:
Renat Shigapov (Data Science Consultant in FDZ | Data Scientist for BERD@NFDI | Coordinator of the NFDI WG โKnowledge Graphsโ)
Thomas Seyffertitz (Deputy Head of Collection Management at Vienna University of Economics and Business Library: Economics and Business Administration, Finance, Accounting & Statistics, Research Data Management)
From small coffee lectures to full-day workshops and flipped classrooms – the ๐๐๐ฅ๐ ๐๐ฐ๐ฎ๐ฑ๐ฒ๐บ๐ reflects the demand for continuous education in rapidly evolving fields not covered by traditional curricula.
The BERD Academy is a substantial component of our Initiative. It is at the forefront of empowering researchers with accessible and free data science and management knowledge.
From the interview, you can learn more about BERD Academy’s mission, the diverse participant profiles, the instructors with practical expertise, and the innovative didactic approaches used to ensure effective learning.
Join us for a transformative workshop series that will equip you with the knowledge and skills to navigate the intricate landscape of data culture, ethical considerations, and policy implications.
๐ย Click here to register for the first session
๐ย ๐ฆ๐ฒ๐๐๐ถ๐ผ๐ป ๐ญ: ๐ง๐ต๐ฒ ๐ฃ๐๐ฏ๐น๐ถ๐ฐ ๐๐ผ๐ผ๐ฑ ๐ฆ๐๐ฎ๐๐ถ๐๐๐ถ๐ฐ๐ – ๐๐ฒ๐’๐ ๐๐ฎ๐น๐ธ ๐ฎ๐ฏ๐ผ๐๐ ๐๐ฎ๐๐ฎ ๐๐๐น๐๐๐ฟ๐ฒ! ย ๐ย Tuesday, October 10, 2023 โฐย 9 am to 5 pmย (lunch break from 12 to 2 pm) ๐ย LMUย Munich
Why Discuss Data Culture?
Public statistics is more than just the application of statistical methods. In this workshop, you will become familiar with how different societal interests influence public statistics and how, in turn, information shapes public discourse.
Throughout the workshop, you will develop a fundamental understanding of data literacy and data culture, catering not only to data professionals but also to all users of data and statistics. We will explore the questions of how conventions are at the heart of the co-production of statistics and society โ and what decision-making processes drive them. We will approach the answer by taking concrete case studies and questions from the current political landscape and trying to answer them with the best possible quantifications.
๐ย Click here to register for the second session
๐กย Session 2: Values, Ethics, and What They Mean for Quality
๐ย Wednesday, October 11, 2023 โฐย 9 am to 5 pmย (lunch break from 12 to 2 pm) ๐ย LMUย Munich
How are Values and Ethics Linked to Data Quality?
As with other products, public statistics aims to optimize the design (form) of the use (function) of the products (โform follows functionโ). In this respect, it is about more than just the application of statistical methods. Rather, the focus must be on the questions that society wants to have answered with solid statistics for its current, pressing, and conflict-laden issues. Other aspects then play a role here, namely whether politics values and finances this infrastructure, whether corresponding data literacy is available in the population at large, and so on.
In this workshop, you will gain a basic understanding of why ethics and values play such an important role when using data. You will get to know different ethical principles and discuss if they are still up-to-date with current developments and new data sources. By doing so, we will explore the relationship between quality of information, integrity, and governance.
๐ย Click here to register for the third session
๐ Session 3: Data 4 Policy: The Evolution from Statistical to Data
๐ Thursday, October 12, 2023 โฐ 9 am to 5 pm (lunch break from 12 to 2 pm) ๐ LMU Munich
Letโs discuss the future of data, statistics, and society
New data sources and data science methods open up substantial opportunities for research and for improving statistics. However, the integration of traditional and newer methods requires more than the merging of methodology and technology.
In this workshop, you will discuss the differences between data-driven and question-driven approaches. We will explore in which places of society data plays an important role and how it is regulated. By this, we will expand on the triangle of data, facts, and policy. Letโs discuss the future of data and society!
Learn ๐๐ฎ๐๐ฎ ๐ฆ๐ฐ๐ถ๐ฒ๐ป๐ฐ๐ฒ and ๐๐ฎ๐๐ฎ ๐ ๐ฎ๐ป๐ฎ๐ด๐ฒ๐บ๐ฒ๐ป๐ through our exciting new range of ๐๐๐ฅ๐ ๐๐ฐ๐ฎ๐ฑ๐ฒ๐บ๐ courses scheduled for ๐ข๐ฐ๐๐ผ๐ฏ๐ฒ๐ฟ and ๐ก๐ผ๐๐ฒ๐บ๐ฏ๐ฒ๐ฟ 2023. Join us for on-site workshops or participate online in interactive sessions.
Completely free of charge and open to everyone, we extend a warm invitation to ๐ฒ๐ป๐ด๐ฎ๐ด๐ฒ ๐ถ๐ป ๐ฑ๐ถ๐๐ฐ๐๐๐๐ถ๐ผ๐ป๐ ๐ผ๐ป ๐ฑ๐ฎ๐๐ฎ ๐ฎ๐ป๐ฑ ๐๐ผ๐ฐ๐ถ๐ฒ๐๐๐๐, ๐ด๐ฎ๐ถ๐ป ๐ถ๐ป๐๐ถ๐ด๐ต๐๐ ๐ถ๐ป๐๐ผ ๐ฒ๐ป๐๐๐ฟ๐ถ๐ป๐ด ๐๐ต๐ฒ ๐ฟ๐ฒ๐ฝ๐ฟ๐ผ๐ฑ๐๐ฐ๐ถ๐ฏ๐ถ๐น๐ถ๐๐ ๐ผ๐ณ ๐๐ผ๐๐ฟ ๐ฟ๐ฒ๐๐ฒ๐ฎ๐ฟ๐ฐ๐ต๐, or ๐ฎ๐ฐ๐พ๐๐ถ๐ฟ๐ฒ ๐บ๐ฎ๐ฐ๐ต๐ถ๐ป๐ฒ ๐น๐ฒ๐ฎ๐ฟ๐ป๐ถ๐ป๐ด ๐๐ธ๐ถ๐น๐น๐ ๐๐ถ๐๐ต ๐ฝ๐ฟ๐ฎ๐ฐ๐๐ถ๐ฐ๐ฎ๐น ๐๐๐ฒ ๐ฐ๐ฎ๐๐ฒ๐ ๐ถ๐ป ๐ข๐ณ๐ณ๐ถ๐ฐ๐ถ๐ฎ๐น ๐ฆ๐๐ฎ๐๐ถ๐๐๐ถ๐ฐ๐๐.
Join the DSSG Lecture Series featuring talks by professionals in AI, Data Science, and more. Explore the latest research and gain valuble real-world knowledge in stimulating conversations.
Visit the website to check out the timetable, read more about the speakers’ profiles and find the registration links.
Register here for the first open lecture session on Aug 17th where Hassan Shaukat presents the thrilling work of DSSG Berlin e.V.
Picture a gathering of brilliant minds, all driven by the common goal of using data science to make the world a better placeโฆ๐ ๐ฆ – does that sound real to you?
We are excited to share that the Data Science for Social Good (DSSG) hands-on summer program, an exceptional 2-month full-time program has been launched in August, led by Frauke Kreuter and Bernd Bischl of the Munich Center for Machine Learning (MCML).
Many public mission-driven organizations, like educational institutions and NGOs, lag in data science adoption due to factors like limited funds or expertise. DSSG is working to change that!
Aspiring data science talents are joining forces and weaving together their expertise on projects that positively impact society.
Chosen teams will focus on:
โค Developing a Fire Hydrant Range-Finder Web App to assist the disaster control (“Katastrophenschutz”) in Munich. โค Creating and analyzing a land sealing dataset to enhance climate change understanding.
Are you tired of the complexity and lack of transparency surrounding privacy laws?
Don’t worry, we’ve got your back! Our powerful tool is here to help you navigate through the intricacies of data protection regulations. Discover a new level of clarity and transparency as you navigate the world of data protection. ย After the successful release of iVA1 and iVA2, we proudly introduce iVA3, the ultimate interactive Virtual Assistant designed to guide you through the examination of whether the processing of personal data within your research project meets federal or state legal requirements.
By asking specific questions, providing short examples, and offering precise definitions, iVA3 guides you through a decision tree tailored to your unique circumstances. It minimizes confusion and streamlines decision-making by providing clear and concise guidance, saving you time and effort. ย Ready to experience the potential of iVA3 firsthand? Click here and try it out for yourself.
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