BERD Academy

BERD Academy provides you with a range of courses, workshops and other educational material to make the most out of Business, Economics, and Related Data.

Any questions? Please contact us BERD Academy.

Democratizing Data: AI Tools for Discovery Workshop by Julia Lane

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Julia Lane will provide an overview of a massive effort which has been focused on finding out how data are being used, to answer what questions, and find out who are the experts in the text of scientific publications, government reports and public documents. Followed by hands-on tutorials to work with the resulting API, dashboard, Jupyter Notebooks and visualization tools.The goal is to inspire BERD@NFDI researchers to collaborate – or to develop new approaches to building an Amazon.com for European scientific and public data.

free, no prerequisites, organized by LMU

In-Person Workshop, University Library Mannheim

29th September 2022

3 p.m. – 6 p.m.

Data Literacy Essentials Course Series

This series of 45-minute courses every Thursday at 12.30 p.m and is designed to familiarize students with the basics of working with data early in their studies. The series is explicitly aimed at students whose degree programs do not focus on these topics, to make any potential for data value creation visible that has not yet have been exploited.

free, no prerequisites, unlimited seats, organized by UB Mannheim

Crash Course Data Literacy by Dr. Irene Schumm

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29th September 2022

12.30 p.m. – 1.45 p.m.

Daten recherchieren by Lorena Steeb

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6th October 2022

12.30 p.m. – 1.45 p.m.

Daten verstehen by Dr. Canan Hastik

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13th October 2022

12.30 p.m. – 1.45 p.m.

Daten erheben by Markus Herklotz

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20th October 2022

12.30 p.m. – 1.45 p.m.

Daten organisieren by Dr. Irene Schumm and Lorena Steeb

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27th October 2022

12.30 p.m. – 1.45 p.m.

Statistics for the Public Good – Infrastructures for Decision Making, Research, and Discourse Workshop Series

In this workshop series, you will learn about the DNA of official statistics, what quality means and how to achieve it, especially under the challenges of modern societies. Various use cases relevant to current policy at the national and international level will be used, in which the course participants will act as statistical stakeholders with distributed roles. We recommend participating in all events of this series, which includes access to introductory videos.

free, no prerequisites, limited seats, organized by LMU

The Public Good Statistics: A Reflective Introduction by Walter J. Radermacher

Self-Paced Learning Online- Videos

1st – 9th October 2022

The Public Good Statistics: Let’s talk about Data Culture! by Walter J. Radermacher

In-Person Workshop, LMU Munich Register Now

10th October 2022

9 a.m. – 5 p.m.

Should Government Data Concern or Serve Us? by Julia Lane

In-Person Workshop, LMU Munich Register Now

11th October 2022

9 a.m. – 5 p.m.

Values, Ethics and What They Mean for Quality by Walter J. Radermacher

In-Person Workshop, LMU Munich Register Now

12th October 2022

9 a.m. – 5 p.m.

Data 4 Policy: Is the Statistical Era Being Replaced by an Era of Data? by Walter J. Radermacher

In-Person Workshop, LMU Munich Register Now

13th October 2022

9 a.m. – 5 p.m.

Open Science Day 2022

This event deals with discussing opportunities and challenges in communicating and establishing Open Science within a research group and in teaching.

free, no prerequisites, organized by UB Mannheim

In-Person, University Mannheim, via Zoom [Hybrid] Register Now

10th October 2022

1 p.m. – 5 p.m.

Data Literacy Snacks

This Online-Micro-Series is provided to engage data literacy skills in a digestive 45 minutes format at lunch time. Preseted topics range from e.g. Research Data Management, Reproducible Data Analysis, Privacy Law and Wikibase Knowledge Graphs.

free, no prerequisites, organized by UB Mannheim

Data Protection Basics by Vasilka Stoilova

Online Coffee Lecture

9th November 2022

12 p.m. – 12.45 p.m.

GDPR applicability – introduction to the interactive Virtual Assistant iVA by Vasilka Stoilova

Online Coffee Lecture

23th November 2022

12 p.m. – 12.45 p.m.