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.
Economic Perspective on Artificial Intelligence (EPEAI) International Research Conference
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.
Data4Society: 10. Konferenz für Sozial- und Wirtschaftsdaten (10|KSWD)
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.
Quantitative Empirical Accounting Research and Open Science Methods
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
E-Science-Tage 2027
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.