BERD Academy

Findable, Accessible, Interoperable, and Re-usable. These are the principles of FAIR Data and they have become a standard for good practice in research data management. In this 20 minute talk we will cover how the findability of your data can be achieved and why it can be beneficial for you to improve the findability of your data.

Findable, Accessible, Interoperable, and Re-usable. These are the principles of FAIR Data and they have become a standard for good practice in research data management. In this 20 minute talk we will cover how the accessibiliy of your data can be achieved and why it can be beneficial for you to improve the accessibiliy of your data.

Findable, Accessible, Interoperable, and Re-usable. These are the principles of FAIR Data and they have become a standard for good practice in research data management. In this 20 minute talk we will cover how the interoperability of your data can be achieved and why it can be beneficial for you to improve the interoperability of your data.

Findable, Accessible, Interoperable, and Reusable. These are the principles of FAIR Data and they have become a standard for good practice in research data management. In this 20 minute talk, we will cover how the reusability of your data can be achieved and why it can be beneficial for you to improve the reusability of your data.

Women in Data Science (WiDS) elevates women in the field by providing inspiration, education, community, and support. Join the regional WiDS event in Munich to get to know outstanding women doing outstanding work in Data Science.

In this webinar, you will get an overview on how to collect smartphone data ethically and transparently with an Android app.

In this webinar, you will get to know the new IAB-SMART data module with activity indicators from smartphone sensor data.

Learn more on how to structure, tidy and anonymize raw geolocation data to create activity indicators using the data collected by the IAB-SMART-App.

This workshop intends to provide interested scholars with an overview of different research strains in the field of network data analysis. In particular, we will work with data relating to international political interactions, such as the international trade of weapons, migration, and conflicts but also with classical social network data. Participants will be introduced to the analysis of network data from both a substantive and statistical perspective. In a hands-on session you will learn to analyze a real-world network dataset through the use of existing, readily available software packages.

Hosted by the Chair of Frauke Kreuter and the Munich Center for Machine Learning (MCML), this 2-month full-time program joins forces of aspiring talents in the area of Data Science in small groups to work on projects with a positive societal impact.

This self-paced learning module is part of the series “Statistics for the Public Good – Infrastructure Decision Making, Research and Discourse”.

This workshop is part of the series “Statistics for the Public Good – Infrastructure Decision Making, Research and Discourse”. You will get to know the conditions for evidence-based policy to contribute to shaping the transformation processes that arise in times of crisis and to reducing social conflicts to their minimum. In

This workshop is part of the series “Statistics for the Public Good – Infrastructure Decision Making, Research and Discourse”. Various use cases relevant to current policy at international and national level will be used, in which the course participants will act as statistical stakeholders with distributed roles.

This workshop is part of the series “Statistics for the Public Good – Infrastructure Decision Making, Research and Discourse”. Various use cases relevant to current policy at international and national level will be used, in which the course participants will act as statistical stakeholders with distributed roles.

This online course uses a flipped classroom design, which means that you can watch the weekly hour of video lectures according to your own schedule. In the weekly one-hour online meetings you have the chance to discuss the material and hands-on applications with the instructor and your fellow course participants.

This online course uses a flipped classroom design, which means that you can watch the weekly hour of video lectures according to your own schedule. In the weekly one-hour online meetings you have the chance to discuss the material and hands-on applications with the instructors from destatis and Statistics Netherlands.