GESIS Training News

A relaxing holiday season and a happy, healthy and successful new year for you and your loved ones.

We very much appreciate your support, suggestions and feedback, and wish you all the best for 2020. We hope to see you again in Cologne or Mannheim next year at one of our events.

Your GESIS Training team

From July 8-26, 2019 the GESIS Methods Seminar took place for the 39th time. Thanks to all lecturers and participants for their commitment! Our three courses in basic and advanced methods taught the theoretical backgrounds and empirical methods that are vital to applied social sciences. Participants liked these courses because they offer a well-prepared, hands-on training in empirical methods and applications in Stata. Our courses in Big Data – on the other hand – showed up-to-date methods in data science for social scientists. This year, we also offered a new course in this series, an “Introduction to Social Network Science with Python”. Also well-received were our free-time activities. We all enjoyed the warm summer evenings of the get-together meetings on GESIS’ roof-top terrace. And with the geocaching tours, we took the opportunity to explore and see the city in a more fun way than usual.

We are looking forward to our 40th anniversary in 2020! Save the date for the 40th Methodenseminar taking place September 14 - October 2, 2020.

Cologne once again attracted an international academic community to the eighth GESIS Summer School in Survey Methodology which took place at GESIS from 01 to 23 August 2019. For 250 participants from all over the world this event was a good opportunity to benefit from excellent courses on methods and techniques of survey methodology, to enjoy inspiring conversations and discussions and to get to know each other during the numerous leisure activities offered during the Europe’s leading summer school in survey methodology. [Continue reading on facebook…]

If you could not make it this summer or want to come back, please save the date for the 9th GESIS Summer School in Survey Methodology that will take place July 30 - August 21, 2020.

More information on the GESIS Summer School can be found here www.gesis.org/summerschool.

Stay tuned!

The first International Summer School in Uganda was successfully held on the main campus in Masaka. It was financed by the VW Foundation and organized jointly by GESIS - Leibniz Institute for Social Sciences, Germany, and Muteesa I Royal University, Uganda. The Summer School was coordinated by Norman Mukasa, Dean of the Faculty of Social Culture and Dev't Studies. He was supported by GESIS staff members Loretta Langendörfer and Marlene Mauk as well as Vincent Ssekitoleko. The experiences from the annual GESIS Summer School in Survey Methodology, which has been taking place in Cologne since 2012, served as a basis.The Summer School is part of the project "Capacity Building and Exchange for Survey Methodology and Data Management in Uganda" (PI Simone Haasler) and aims to develop local competences for data generation and effective data management for the social sciences and related disciplines such as education and health in Uganda and Kenya (and possibly East African neighbouring countries). Survey data not only enable scientists to investigate social phenomena, but are also an important source of information for the state, business and civil society [Continue reading on facebook…]

More information on the ISSU can be found here www.gesis.org/summerschool.

Stay tuned!

With the use of social media platforms such as Facebook, Youtube and Twitter, a growing amount of digital behavioral data (dbd) are being generated. For many researchers in the humanities, these are of great interest, especially for those in the social sciences and communication sciences. In terms of its contents, dbd offer new sources to answer research questions, for example in the field of political communication and social networks studies. To draw from this data, it is important to master the handling of quantitative data and, depending on previous training, to learn other software and programming languages such as R or Python. The upcoming GESIS Spring Seminar seeks to meet the increasing demand in methodology courses for the analysis of Digital Behavioral Data. Courses will be offered in three consecutive weeks, which can be taken independently or consecutively. Lectures in each course are complemented by hands-on exercises giving participants the opportunity to apply these methods to data.

Week 1 (March 02 - 06): Fundamentals of Data Analysis with Python

Dr. John McLevey, University of Waterloo (Canada)

Jilian Anderson, Simon Fraser University (Canada)

Week 2 (March 09 - 13): A Practical Introduction to Machine Learning in Python

Dr. Damian Trilling, University of Amsterdam (Netherlands)

Dr. Anne Kroon, University of Amsterdam (Netherlands)

Week 3 (March 16 - 20): Social Network Analysis with Digital Behavioral Data

Dr. David Garcia, Complexity Science Hub Vienna and Medical University of Vienna (Austria)

Max Pellert, Complexity Science Hub Vienna and Medical University of Vienna (Austria)

Thanks to our cooperation with the Cologne Graduate School in Management, Economics and Social Sciences at the University of Cologne, doctoral students can obtain 3 ECTS credit points per one-week course.

For registration, please visit our website and sign up (if it is already fully booked please sign in the waiting list) here!