Join us for a series of online presentations that showcase examples how to weave the principles, methods, and tools of Open Science into university education. Our Coffee Lectures are tailored specifically for those in the fields of economics and management, though we welcome contributions neighboring disciplines.
Dive into Open Science | Duration & Format
Each session consists of a concise 40-minute presentation, shedding light on the integration of Open Science within academic curricula at all levels. This is followed by a 20-minute discussion, offering attendees the chance to delve deeper into the topics presented, ask questions, and exchange ideas.
Who Should Attend? | A Vibrant Community
Whether you’re an educator seeking innovative teaching methods, a student aiming to expand your academic scope, or simply an Open Science enthusiast, our lectures are designed to offer valuable insights and foster a collaborative learning environment.
Join the Discussion | Engagement Opportunities
The post-presentation discussion is an integral part of our Coffee Lectures, providing a forum for vibrant dialogue and exchange of ideas on the practicalities and implications of Open Science in education.
Accessible for Everyone | Recording Availability
Understanding the busy schedules of our attendees, we ensure the presentation portion of each lecture is recorded. This allows those unable to attend live to benefit from the wealth of knowledge shared.
Upcoming Sessions
Below, you’ll find a list of our upcoming Coffee Lectures on Open Science Education. Each session is carefully planned to offer valuable insights into the integration of Open Science principles within academic teaching. Mark your calendars and join us for these enlightening discussions:
A reproducibility internship?
This event is part of the Coffee Lectures on Open Science Education.
Abstract: The LDI (Labor Dynamics Institute) Replication Lab verifies computational reproducibility of papers appearing in AEA (American Economic Association) journals with undergraduate students, who experience hands-on engagement with data and code for conditionally accepted manuscripts. We believe that exposure to and training in well-structured programming will benefit students both in academia and the private sector. They become resourceful in debugging (inevitably) imperfect code submitted to the AEA journals, and are taught how to communicate with other people on technical problems, in an objective and constructive manner. Can or should this be expanded?
Speaker: Lars Vilhuber
Lars Vilhuber holds a Ph.D. in Economics from Université de Montréal, Canada, and is currently on the faculty of the Cornell University Economics Department.
BERD Academy: Open Education for Research with (unstructured) Business, Economics and Related Data
This event is part of the Coffee Lectures on Open Science Education.
Abstract: Big Data took the world by storm, Artificial Intelligence has become a hot topic across research disciplines. Working with these data can be a challenge. Especially for researchers in Business, Economics and Social Sciences, who graduated just a few years ago when most study programs covered mainly or exclusively ‘traditional’ data collection methods such as surveys with structured, tabular data. To unlock the research potential of new data sources by applying fitting methods, education is needed. The BERD Academy is the training outlet of the consortium for Business, Economics, and Related Data in the National Research Data Infrastructure (BERD@NFDI). In this talk, we will present how a wide range of offers in flexible formats fulfills the needs of researchers and research data providers. We want to discuss, how educational content can unlock research potential and how open education can foster open science.
Speaker: Markus Herklotz, LMU Munich
Markus Herklotz is working for the project BERD as part of the National Research Data Infrastructure (NFDI), where he designs training programs and educational resources for researchers working with unstructured Business, Economics, and Related Data.
Coffee Lecture on Open Science Education
This event is part of the Coffee Lectures on Open Science Education.
Abstract: Will be announced soon.
Speaker: Hans-Martin von Gaudecker, University Bonn
Hans-Martin von Gaudecker is a Professor of Applied Microeconomics in the Department of Economics of the University of Bonn.