Event Calendar

Für den Forschungsraum Berlin-Brandenburg ist das faire und nachhaltige Finanzieren von  Open Access ein drängendes Thema (Neufend et al. 2024), das aufgrund der Unsicherheiten in der Finanzierung von Wissenschafts- und Kulturerbe-Einrichtungen alle Einrichtungstypen unterschiedlich betrifft. In dieser Veranstaltung möchten wir mit Akteur*innen ins Gespräch kommen, die bereits eine nachhaltige, faire und kollektive Finanzierung von Open Access unterstützen und ermöglichen.

The community at CAT has a long history of thinking about how to instigate radical change in complex environments. We’re looking forward to learning more about the history and future of CAT, and thinking about where the interests of our communities overlap and where we might be able to collaborate.

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.

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 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.