Eventkalender

This course exposes participants to the ‘world of possibilities’ in literature reviews in various fields. The seminar enables PhD students to understand basic purposes and approaches of different types of literature reviews and to apply them properly to their own individual research topics.

The goal of this methodology course is to give interested, young scientists an understanding of the essential elements of quantitative and qualitative content analysis.

Our goal is to facilitate the development of open research practices explicitly geared to serve the public interest, which involves interrogating what may constitute that ‘public interest’ to different audiences and in different locations around the world. A central element for our discussions will be the development of a Munich Manifesto for Equitable Open Research, detailing ways to utilise open research to foster reliable, responsible, and equitable forms of inquiry. A draft text of the manifesto will be circulated two weeks before the conference to all participants, and one session of the conference will be dedicated to discussing and finalising the declaration and its possible signatories.

More infos are yet to come.

The conference focuses on theoretical or empirical contributions for these topics: New and experimental Developments in AI - (AI-driven) Entrepreneurship and AI-driven Business Models and Strategies - AI in Business Administration and Processes, e.g., Finance, Accounting, Controlling, Human Resources, Marketing, Production, Supply Chain Management, Quality and Sustainability Management - GenAI, explainable AI and Decision-making; Risk and Opportunities of AI-Agents - Ethics, Regulation and Policy of AI- Digital Transformation of Skills and Jobs - Infrastructure, Energy and Finance supply and AI Competitiveness - Micro- and Macroeconomic framework: Competition, Productivity and Markets.

Die 10|KSWD wird einen interdisziplinären und offenen Dialog zur Weiterentwicklung der Forschungsdateninfrastruktur fördern und gemeinsame Perspektiven für eine verantwortungsbewusste Nutzung sensibler Daten eröffnen. Neben nationalen Herausforderungen werden auch Fragen des europäischen und internationalen Datenaustauschs in den Blick genommen. Im Mittelpunkt stehen Fragen rund um die Infrastruktur zur Forschung mit Daten und deren Bedeutung für Wissenschaft, Politik und Gesellschaft. Fundierte, aktuelle und verlässliche Daten sind die Voraussetzung, um gesellschaftliche und wirtschaftliche Entwicklungen zu verstehen und zu gestalten.

Im Workshop widmen wir uns dem Design von OER-Materialien auf ganz praktische Weise. Lehrkonzeption und Mediendesign mit gängigen Bordmitteln: Wie erstelle ich Materialien, worauf sollte ich didaktisch achten, wie publiziere ich meine OER sicher und sichtbar.

This course focuses on quantitative empirical accounting research, covering theoretical, methodological and technical aspects of this research program. It also introduces students to the concepts of Open Science. In terms of applications, it concentrates on financial and other related disclosure issues but also touches on some managerial and auditing topics. After this course, participants should have a clear understanding about the theoretical foundations of quantitative empirical accounting research, know the methodological approaches to and common pitfalls of empirical research designs, have become familiar with a collaborative open science workflow using R/Python/Stata and Github, know how to execute empirical archival studies, including the usability and inter-operability of different data sources and, based on their own research proposal, have received constructive feedback on how to design and execute a viable study in the area of quantitative empirical accounting research.

First part, online: 01.09.24, 04.09.26, 08.09.26, 11.09.26
Second part, in person (Berlin): September 16 - 18, 2026 

The course targets researchers who are interested in understanding, conducting, and publishing meta-analytic research. Participants will learn how to conduct and publish a high-quality meta-analysis in the area of management and business research.

The learning objective of the course is to enable participants to apply these techniques in design-oriented and/or quantitative empirical research projects.

Die E-Science-Tage sind eine interdisziplinäre Konferenzreihe rund um die Themen Forschungsdatenmanagement und Open Science – mit vielseitigen Angeboten für den fachlichen Austausch zwischen Wissenschaft und Technik.
Notieren Sie sich den Termin schon jetzt in Ihrem Kalender - mehr Informationen folgen in Kürze!