Events: Open Science & Economics
Conferences, seminars, webinars, online panels and more: Here you will find relevant events from the fields of Open Science and business studies and economics. Are you an event organizer yourself and would like to have your event added to the calendar? Don’t hesitate, please contact us.
You can find more dates for events relating to business studies and economics in the calendar of the ZBW search portal EconBiz.
Turning PDFs into Research Data (2025)
Do you ever feel that the data you need for your research is accessible but it’s not in a convenient table, such as company reports or building plans?
Perhaps the information you need is spread out across many different documents?
If only we could read and extract structured data from thousands of written documents.
In this course, we explore how to accomplish this task by combining web scraping, Optical Character Recognition (OCR), and Natural Language Processing (NLP). Over four weeks, we provide online lessons and interactive sessions to learn the fundamentals of these key technologies.
FDM-Werkstatt: Tools of the trade
In order to analyze, store, or publish digital research data, powerful software tools or even custom-made software are required. However, it is often quite challenging when the different tools are not interoperable or the overall workflows are not fully digitized, as this results in time-consuming processes with limited opportunities of collaboration. Therefore, a key objective should be to make data processing more efficient and to automate workflows. And this is where the tinkering begins!
GW4 Open Research Week 2025
This year’s GW4 Open Research Week is taking place from 31 March 2025 – 4 April 2025 and will be led by the University of Bath. The week will celebrate the broad range of practices which make research more accessible, transparent, reproducible and visible.
The theme for this year is ‘Open Research: Open Culture’, with a series of events taking place across the week. All events are open to all GW4 academics, staff and researchers and are designed to showcase the benefits of open research, and ways to adopt open research practices across GW4.
Machine Learning
The course exposes participants to recent developments in the field of machine learning (ML) and discusses their ramifications for business and economics. ML comprises theories, concepts, and algorithms to extract patterns from observational data. The prevalence of data (“big data”) has led to a surge in the interest in ML to leverage existing data assets for improved decision-making and business process optimization. Concepts such as business analytics, data science, and artificial intelligence are omnipresent in decision-makers’ mindset and ground, to a large extent, on ML. Familiarizing course participants with these concepts and enabling them to apply cutting-edge ML algorithms to real-world decision problems in management, policy development, and research is the overarching objective of the course.
Helmholtz Open Science Forum: Open Research Information
Research information – data on research outputs and activities – is omnipresent in everyday research, be it bibliographic metadata on publications and other research results, data on funding and projects or information on research institutions and researchers themselves. However, research information is often not freely accessible and usable. Research information is often collected by commercial providers and made available to the scientific community itself in return for payment, as in the case of the Web of Science and Scopus platforms. At the same time, while many research institutions produce vast research information, there is still potential in making this research information better accessible, or making basic information on their research activities freely accessible in the first place. And as research information is indispensable and crucial for strategic decisions, the allocation of resources, research evaluation and recruitment – in short, essential for research assessment –, the openness of such information is of decisive relevance. Open research information is therefore another important building block of open science practices and in the reform of research assessment as well as for academic sovereignty. The Barcelona Declaration on Open Research Information published in April 2024 therefore aims to make open research information the norm.
IGDORE ReproducibiliTea and Open Science Coffee
ReproducibiliTea is a journal club initiative that has resulted in journal clubs about open science and replicability in academic departments all over the world (see https://reproducibilitea.org/ for more history and information). IGDORE is now proud to announce our own ReproducibiliTea journal club fully online, allowing people to join from wherever they happen to be in the world!
This journal club is suited for beginners to open science. To fully understand what the open science movement is built upon, we will cover important basic concepts and discuss the most seminal works. Each session will be based on an article which all participants read in advance. Depending on the session topic, other resources such as Youtube videos or optional reading may be provided to facilitate the discussions. These will always be optional; you are never expected to prepare more than reading the session article.
Everyone is welcome – from student to Nobel Prize laureate; from intern to CEO. No prior knowledge is required to participate, but the article discussions will probably be more valuable to you if you have a university-level understanding of quantitative and/or qualitative research methodology
Overview about programming languages
Programming is the essential tool for managing data sets and conducting data science methods. Handling huge data sets manually is impossible, so we can only prepare, curate, analyze and evaluate them by programmable means. In addition, programming is crucial for documenting, creating graphical output, and presenting results (e.g., on the web). In order to write programs, we need to a programming language – but what is that?
FAIR Coffee lecture – Sandra Geurts
UM is on a mission to become a leading example in the Open Science movement, which aims to make research papers, data, methods, etc. open to anyone so we can all benefit. The FAIR principles go hand-in-hand with Open Science and they form a great guide to make sure that the research you make Open, can actually be used. With the FAIR Coffee lecture series, the Open Science Community of UM, in collaboration with the Community for Data-Driven Initiatives (CDDI), will help you find out more about these topics and discover how your colleagues have applied Open Science and FAIR principles to their research. These lectures are a perfect chance to dip your toes in the FAIR water and find inspiration in the work of others! Coffee/tea and cookies will be waiting for you!
Infra4NextGen Webinar: Using social surveys to answer research questions
How can social scientists design and focus their research to ensure they can answer questions using existing data? How do researchers find relevant data for a specific project? In this webinar, three research fellows working on the Infra4NextGen project will share their experience in navigating the wealth of publicly available survey data.
Is Science Self-Correcting? A Tale of Obscurantism Slow Response and Misconduct
Lonni Besançon, Assistant Professor of Visualization at Linköping University, talks about self correcting in science.
PathOS Training Session: Open Science Impact Indicator Handbook, Tools and Data
Featuring Vincent Traag (CWTS) and Petros Stavropoulos (ARC), this session will explore the causal perspective on Open Science impacts, focusing on academic, societal, and economic effects. The webinar will cover the handbook’s role in operationalizing indicators and addressing causal inference challenges. Additionally, it will provide an overview of tools and data for measuring Open Science impact, including metrics like citations, data usage, and cost savings. Future directions for the Handbook and its policy implications will also be discussed, with opportunities for community contributions.
EconBiz seminars series
Got an assignment coming up and don't know how to start? Our online seminar series (in English) teaches you essential research and writing skills in four 30-minute sessions.
- Tuesday, April 15, 2025, 11:00-11:30 (CEST): Choosing a topic
Choose an interesting and feasible topic for your assignment. - Tuesday, May 6, 2025, 11:00-11:30 (CEST): Searching literature
Search efficiently for scientific literature and information. - Tuesday, May 27, 2025, 11:00-11:30 (CEST): Assessing publication quality
Identify quality publications that you can cite. - Tuesday, June 17, 2025, 11:00-11:30 (CEST): Avoiding plagiarism
Avoid unintentional plagiarism.
The online seminars take place on Zoom. We will send you an e-mail with the access link and further information before the seminar starts.
Using Surveys for Impact Evidence
This session will cover why it’s useful to use surveys for impact evaluation, when you shouldn’t use surveys for evaluation, how to develop a “good” survey question and response options, avoiding common pitfalls in survey design, using open-ended questions in your survey, using online surveys and pilot testing your survey. The presentation will last around 35 minutes and there will be additional time for questions at the end.
Evaluating the Impact of your Research
Research funders expect you to demonstrate impact of your research. Research councils and Research England require you to provide evidence of this through Researchfish and the Research Excellence Framework (REF). For REF impact case studies, we need to be able to provide a strong narrative and robust evidence of the impacts claimed. This workshop will help you to develop a plan for evaluating the impact from your own research.
Open Science Trainings
Open Science Skills
- Develop practical skills to elevate your work. Learn how to…
- Use tools like Git/GitHub, Python, Matplotlib, Jupyter Notebooks, and Zenodo
- Make research accessible, transparent, and reproducible
- Understand concepts, such as FAIR and CARE
- Draft Open Science and Data Management plans (required for ROSES solicitations)
- Earn an Open Science digital badge!>
Kommunikation zu und über Open Science
Kommunikation ist das A und O, wenn es darum geht, das Bewusstsein für die Open-Science-Bewegung und ihre Ziele zu verbreiten. In diesem Meet-up wird Emilia Mikautsch, Kommunikationsspezialistin im Team Open Science der Universität Konstanz, über ihre Erfahrungen mit Kommunikationsmaßnahmen zu Open Science an der Universität Konstanz (und darüber hinaus) berichten. Im Anschluss an den Vortrag freuen uns darauf, auf Ihre Fragen einzugehen und uns über Ihre Erfahrungen mit der Kommunikation von Open Science auszutauschen. Jeder ist eingeladen - eine Anmeldung ist nicht erforderlich.
Entwicklung von Open Educational Ressources (OER)
OER Grundlagenworkshop & Q&A Session: Der Grundlagenworkshop zur Entwicklung von OER-Material findet im Rahmen von zwei digitalen Sitzungen statt. Im ersten Teil dieser Veranstaltung (14.00 Uhr bis 16.00 Uhr) machen Sie sich mit den Merkmalen offener Bildungsmaterialien vertraut und reflektieren deren Chancen und Herausforderungen. Besonderes Augenmerk liegt auf dem Urheberrecht und der offenen Lizenzierung. In interaktiven Übungen erfahren Sie, wie Sie OER in Ihre Lehre einbinden können und was bei der Erstellung eigener OER zu beachten ist. Darüber hinaus lernen Sie die Funktionen des OER Portals www.twillo.de kennen. bei dem zweiten Teil der Veranstaltung (16.30 Uhr bis 18.00 Uhr) handelt es sich um eine Q&A Session, in der Sie Ihre eigenen OER vorstellen und individuelle Fragen stellen können.
Entwicklung von Open Educational Resources (OER)
Der Grundlagenworkshop zur Entwicklung von OER-Material findet im Rahmen von zwei digitalen Sitzungen statt. Im ersten Teil dieser Veranstaltung (14.00 bis 16.00 Uhr) machen Sie sich mit den Merkmalen offener Bildungsmaterialien vertraut und reflektieren deren Chancen und Herausforderungen. Besonderes Augenmerk liegt auf dem Urheberrecht und der offenen Lizenzierung. In interaktiven Übungen erfahren Sie, wie Sie OER in Ihre Lehre einbinden können und was bei der Erstellung eigener OER zu beachten ist. Darüber hinaus lernen Sie die Funktionen des OER Portals www.twillo.de kennen.
Ökonomie und Digital Health
Die Gesundheitswirtschaft steht vor großen Herausforderungen. Die digitale Transformation kann helfen, diese Herausforderungen insbesondere mit einer größeren Datenverfügbarkeit besser zu bewältigen. Auf der gemeinsam mit dem ZEW – Leibniz-Zentrum für Europäische Wirtschaftsforschung ausgerichteten Jahreskonferenz des Wirtschaftsdienst 2025 wird diskutiert, wie innovative Gesundheitslösungen durch besseren Datenzugang ermöglicht werden und wie Angebot und Inanspruchnahme von Versorgungsleistungen durch mehr Daten verbessert werden können. In der abschließenden Paneldiskussion wird die Rolle von Daten als Motor für die Gesundheitswirtschaft erörtert.
Make your research reproducible – a hands-on course (2025)
Do you know that feeling, when you work on your research project after not having looked at it for a while (for example after receiving reviews) and you can’t remember how the different parts fit together?
And when you finally figure it out again, the results are somehow different. Oh no!
In this course we will set you up to never run into these kinds of issues again.
Let’s get your research project organized, under version control, stable, and published so that you can confidently say that your research is reproducible.