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.

LMU & MPG Open Science Summer School 2024

9. September 202413. September 2024
Munich (Germany) & Online
Organised by: LMU Open Science Center (OSC), Max Planck Digital Library (MPDL)

By joining (or accessing the material after the school), you will learn how to: clarify your research design and set up your statistical plans in advance of collecting data to prevent biases in analyses, with the help of preregistration and data simulation; create computationally reproducible workflows so you can be more efficient and spot mistakes in data wrangling or analyses, through programming with version controlled scripts; prepare, manage and share data and code in connection with your articles by applying the Findable, Accessible, Interoperable, Reusable principles, and using adequate repositories and licenses. Increase the impact of your research and secure the acknowledgement of your and others contributions by opening your research practices!

Meta-Analysis: Abstract and Learning Objectives

10. September 202413. September 2024
Online
Organised by: VHB

Participants of this course will learn how to conduct and publish a high-quality meta-analysis in the area of management and business research. To this aim, the course follows a step-by-step procedure that covers the entire meta-analysis research process, including problem formulation and definition of a research question for a meta-analysis, literature search, study and effects coding, data preparation and analysis with different software tools, and reporting and publishing. Participants will further learn how to evaluate meta-analyses in the business and management literature and to follow the respective methodological discussion about meta-analyses in their field.

Meta-Analysis

10. September 202413. September 2024
Berlin (Germany)
Organised by: VHB

The course targets researchers who are interested in understanding, conducting, and publishing meta-analytic research. Participants of this course will learn how to conduct and publish a high-quality meta-analysis in the area of management and business research. To this aim, the course follows a step-by-step procedure that covers the entire meta-analysis research process, including problem formulation and definition of a research question for a meta-analysis, literature search, study and effects coding, data preparation and analysis with different software tools, and reporting and publishing. Participants will further learn how to evaluate meta-analyses in the business and management literature and to follow the respective methodological discussion about meta-analyses in their field.

5. SaxFDM-Tagung: Unlocking Research Data – Kompetenzen vermitteln und Zugänge ermöglichen

17. September 2024
Freiberg (Germany)
Organised by: SaxFDM

Im Mittelpunkt der Tagung stehen facettenreiche Diskussionen und Erkenntnisse zu zentralen Themen wie dem Einsatz von Forschungssoftware, der Integration von Forschungsdatenmanagement in Lehre und Teamstrukturen sowie Datennachnutzung und Barrierefreiheit im Forschungskontext

Machine Learning

17. September 202420. September 2024
Berlin (Germany)
Organised by: VHB

The course exposes participants to recent developments in the field of machine learning and discusses their ramifications for business and economics. Machine learning comprises theories, concepts, and algorithms to infer patterns from observational data. The prevalence of data (“big data”) has led to an increasing interest in the corresponding methodology 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 machine learning. Familiarizing course participants with these concepts and enabling them to purposefully apply cutting-edge methods to real-world decision problems in management, policy development, and research is the overarching objective of the course.

Endogeneity in Applied Empirical Research

18. September 2024
Online
Organised by: VHB

This course has the goal of making students familiar with the problem of endogeneity and potential remedies. This implies that it will cover the opportunities and problems associated with traditional approaches (e.g., Instrumental Variable estimation, Matching, Difference-in-Difference) as well as more recent developments (e.g., Gaussian Copulas; Machine Learning and Causal Inference; Synthetic Control Methods; Directed Acyclical Graphs (DAG)). The course will also cover how the data structure (e.g., panel data) can be utilized to address the problem. Because the literature on endogeneity is often quite technical, this course aims at providing an easily accessible approach to this topic. Special emphasis will also be given to understanding when endogeneity indeed poses a real problem as compared to settings in which endogeneity is less likely to be a real threat to the validity of the findings.

Choice-Based Optimization

23. September 2024
Hamburg (Germany)
Organised by: VHB

Demand is an important quantity in many optimization problems such as revenue management and supply chain management. Demand usually depends on “supply” (price and availability of products, f. e.), which in turn is decided on in the optimization model. Hence, demand is endogenous to the optimization problem. Choice-based optimization (CBO) merges discrete choice models with math programs. Discrete choice models (DCM) have been applied by both practitioners and researchers for more than four decades in various fields. DCM describe the choice probabilities of individuals selecting an alternative from a set of available alternatives. CBO determines (i) the availability of the alternatives and/or (ii) the attributes of the alternatives, i.e., the decision variables determine the availability of alternatives and/or the shape of the attributes. We present CBO applications to location planning, supply chain management, assortment and revenue management.

Endogeneity in Applied Empirical Research

25. September 202427. September 2024
Tübingen (Germany)
Organised by: VHB

This course has the goal of making students familiar with the problem of endogeneity and potential remedies. This implies that it will cover the opportunities and problems associated with traditional approaches (e.g., Instrumental Variable estimation, Matching, Difference-in-Difference) as well as more recent developments (e.g., Gaussian Copulas; Machine Learning and Causal Inference; Synthetic Control Methods; Directed Acyclical Graphs (DAG)). The course will also cover how the data structure (e.g., panel data) can be utilized to address the problem. Because the literature on endogeneity is often quite technical, this course aims at providing an easily accessible approach to this topic. Special emphasis will also be given to understanding when endogeneity indeed poses a real problem as compared to settings in which endogeneity is less likely to be a real threat to the validity of the findings.

Jahreskonferenz 2024: Freiheit in digitalen Infrastrukturen

17. October 202418. October 2024
Berlin (Germany)
Organised by: Plattform Privatheit

Im Rahmen der diesjährigen Konferenz der Plattform Privatheit wollen wir uns interdisziplinär mit den Gestaltungsherausforderungen und -möglichkeiten auseinandersetzten, um Freiheit und Selbstbestimmung in digitalen Infrastrukturen zu stärken und unerwünschte Entwicklungen zu vermeiden. Diskutiert werden sollen technische, ökonomische, soziale, politische, rechtliche, kulturelle und pädagogische Ansätze, um den Schutz der Privatsphäre und der informationellen Selbstbestimmung in der digitalen Welt weiterzuentwickeln. Dabei werden normative, institutionelle und instrumentelle Konzepte eines freiheitsfördernden Datenumgangs im Kontext digitaler Infrastrukturen diskutiert. Es sollen auch konstruktive Bausteine für eine zukunftsgerechte Gewährleistung individueller und kollektiver Selbstbestimmung und Grundrechte erörtert werden.

Open Science Conference 2024

21. October 202423. October 2024
Berlin (Germany)
Organised by: EOSC, Leibniz, ZBW

The international EOSC Symposium will take place in Berlin in 2024. 450 experts from research and research infrastructures as well as representatives of European science policy are expected in Berlin to present concrete results, discuss new ideas and promote the future of Open Science in Europe. This outstanding event as well as the high thematic synergies have inspired the Open Science Conference to join forces with the EOSC Symposium to present the topic of Open Science in Berlin in 2024. Please save this date. Further information on the program and registration will be provided at a later date.

National Open Science Festival

22. October 2024
Maastricht (Netherlands)
Organised by: Open Science Community Maastricht, University Library, Open Science NL, LCRDM, DANS

On this Festival attendants can meet each other, learn more about Open Science, stay up to date on current developments, and discuss future directions.

Reproducibility Data Analysis With R

28. October 202431. October 2024
Online
Organised by: Physalia

By the end of this course, participants will be able to organize a project to speed up collaboration and maximize its reproducibility by leveraging existing tools in the R ecosystem – such as RMarkdown, renv, and others-, version control and working environments.

Open Educational Resources in der Hochschullehre: Merkmale und Mehrwerte

5. November 2024
Online
Organised by: twillo

In dieser Veranstaltung lernen Sie die Merkmale offener Bildungsmaterialien kennen und reflektieren deren Chancen und Herausforderungen. Besonderes Augenmerk liegt auf dem Urheberrecht und der offenen Lizenzierung. In interaktiven Übungen erfahren Sie, wie Sie offen lizenzierte Bildungsmaterialien in Ihre Lehre einbinden können und was bei der Erstellung eigener OER zu beachten ist. Gemeinsam nehmen wir didaktische Fragen rund um OER in den Blick und diskutieren Qualitätsdimensionen offener Bildungsmaterialien

Philosophy of Science – Foundations and Implications for Research Designs and Research Methods

5. November 20248. November 2024
Berlin (Germany)
Organised by: VHB

Eine wesentliche Zielsetzung des Kurses ist es, für die verschiedenen Strömungen der Wissenschaftstheorie zu sensibilisieren und grundlegende Kenntnisse über verschiedene wissenschaftstheoretische Begründungsstrategien zu vermitteln, um eine kritische Reflektion über die eigene wissenschaftliche Forschung zu ermöglichen. Obwohl der Schwerpunkt des Kurses auf der Diskussion philosophischer (wissenschaftstheoretischer) Positionen liegt, ist es ein weiteres Anliegen des Kurses, deren Bedeutung für die wissenschaftliche Praxis zu thematisieren und anhand praktischer Beispiele zu analysieren.

E-Science-Tage 2025: Research Data Management – Challenges in a Changing World

12. March 202514. March 2025
Heidelberg (Germany) & Online
Organised by: Universität Heidelberg Universitäts-Rechenzentrum

The E-Science-Tage are an interdisciplinary conference series on the topics of research data management and open science – with a wide range of opportunities for professional exchange between science and technology. Save the Date!

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