PROGRAMME

「Courses, Colloquia & Guest Lectures」

Please note: The new qualification structure as well as the new guidelines for the structure of the course programme(105.7 KB, 5 pages) of BAGSS have come into effect. Please note that the new course programme guidelines affect only members of BAGSS, whose membership started in the summer semester 2021 or later.

DOCTORAL SEMINARS AND COLLOQUIA

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BAGSS Semester Colloquium

Open Science: Improving the Quality of Social Scientific Research

Wednesday 06.04.2022 at 5 p.m.; Hybrid session via Zoom and at Feldkirchenstraße 21, Room FG1/00.08 (BAGSS).

Invited Speaker: Dr Alexander Wuttke, Mannheim Centre for European Social Research (MZES)

Alexander Wuttke is a Postdoctoral Fellow at MZES (Mannheim Centre for European Social Research). Previously, he was employed at Gesis and the University of Mannheim where he was involved with carrying out the German Longitudinal Election Study (GLES). He is a catalyst of the Berkeley Initiative for Transparency in the Social Science and one of the co-founders of the Mannheim Open Science Meetup.

 

As scholars we are motivated to generate knowledge that others can rely and build on. In doing science researchers need to follow academia's norms, rules and incentives structures which privilege spectacular, clean and surprising findings. Sometimes, these system hinder the dissemination of reliable science that can be messy, complex and boring. This talk discusses structural reforms to align academic systems with our scholarly motivation to accurately describe or explain the world around us. Here, transprency and inclusivity are key. Moreover, the talk presents actionable practices to increase the reliability of our scholarly outputs.

 

Zoom link:https://uni-bamberg.zoom.us/j/96166390595

Password: ?Z9Zh@

 

 

 

 

Participation in the semester colloquium is mandatory for all doctoral members of BAGSS. Postdoctoral as well as faculty members of BAGSS are kindly invited to join!

 

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Competence, Personality and Development in Different Learning Environments.

Joint Research Seminar of the Department 1 (Dr Ilka Wolter) and the Director of the Leibniz Institute for Educational Trajectories (Professor Dr Cordula Artelt) and the Chair of Developmental Psychology of the University of Bamberg (Professor Dr Sabine Weinert).

(BAGSS Pillar 1)

Weekly sessions

 

ORGANISERS: Professor Dr Cordula Artelt , Professor Dr Sabine Weinert and Dr Ilka Wolter

TIME: From 20 October 2021 to 08 February 2022; Wednesdays, 4 p.m. to 6 p.m. (c.t.)

PLACE: Online via Zoon

For more information please write an email to courses.bagss(at)uni-bamberg.de or abteilung-1-assistenz(at)lifbi.de

 

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Joint Paper-Colloquium, BAGSS Pillars 2 & 3 and Department 2 (LIfBi)

Weekly sessions

 

ORGANISER: Professor Dr Steffen Schindler; Professor Dr Corinna Kleinert

TIME: Tuesdays, 10:15 a.m. to 11:45 a.m.

PLACE: Online sessions via MS Teams

For more information please write an email to courses.bagss(at)uni-bamberg.de or to abteilung-2-assistenz(at)lifbi.de

 

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Weekly Doctoral Colloquium (BAGSS Pillar 4)

Weekly sessions

 

ORGANISER: Professor Dr Ulrich Sieberer

TIME: Tuesdays, 6 p.m. to 8 p.m.

PLACE: Hybrid sessions via Zoom and room FG1/00.06 at BAGSS (Feldkirchenstraße 21).

For more information please write an email to courses.bagss(at)uni-bamberg.de.

 

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In addition to their Pillar Seminars and Colloquia, members of BAGSS can also participate in the

Statistics - Psychometrics Research Seminar

Weekly sessions

 

ORGANISERS: Professor Dr Claus Carstensen and Professor Dr Christian Aßmann

TIME: Thursdays, 2 p.m. to 4 p.m.

PLACE: Online via Zoom

For more information please write an email to courses.bagss(at)uni-bamberg.de or abteilung-3-assistenz(at)ifbi.de.

 

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METHODS AND RESEARCH DESIGN

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COVID-19 UPDATE: PLEASE PAY ATTENTION TO THE CHANGES!

BAGSS, TRAc and LIfBi Joint Workshop

Data Management, Advanced Programming and Automation using Stata – Tips and Tricks

2-day Workshop


INSTRUCTOR: Daniel Bela, Leibniz Institute for Educational Trajectories (LIfBi)

DATE & TIME: Monday, 16 May 2022; 9:30 a.m. to 4 p.m.

                        Tuesday, 17 May 2022; 12:30 p.m. to 5 p.m.

PLACE: On-site Workshop; Room: RZ/01.02. (Computing Centre of the University of Bamberg, Feldkirchenstr. 21)

To register, please send a mail tocourses.bagss(at)uni-bamberg.de

 

Registration is mandatory! The number of participants is limited to 15!

Registration deadline: 25.04.2022

 

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Introduction to Statistics for Social Science

Weekly Seminar


INSTRUCTOR: Lukas Hohendorf

DATE & TIME: Wednesday, 10 a.m. to 12 noon

PLACE: RZ/00.05 (Computing Center, Feldkirchenstraße 21)

 

Participation in the course has to be coordinated with the course instructor. Please inform us about your participation in advance, by writing an e-mail to courses.bagss(at)uni-bamberg.de

 

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Historical Methods for Social Sciences: Theories, Interpretations, Sources, Actors of Social Policy

Weekly Seminar


INSTRUCTOR: Dr Michele Mioni

DATE & TIME: Tuesday, 2 to 4 p.m.

PLACE: FMA/01.20 (Feldkirchenstraße 21)

 

Participation in the course has to be coordinated with the course instructor. Please inform us about your participation in advance, by writing an e-mail to courses.bagss(at)uni-bamberg.de

 

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Qualitative Methods

Weekly Seminar


INSTRUCTOR: Professor Dr Monika Heupel

DATE & TIME: Wednesday, 4 to 6 p.m.

PLACE: F21/03.03 (Feldkirchenstraße 21)

 

Participation in the course has to be coordinated with the course instructor. Please inform us about your participation in advance, by writing an e-mail to courses.bagss(at)uni-bamberg.de

 

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Multilevel analysis using comparative micro data

Weekly Seminar


INSTRUCTOR: Professor Dr Michael Gebel, Chen-Hao Hsu, M.A.

DATE & TIME: Monday, 8 a.m. to 12 noon

PLACE: RZ/00.07 (Computing Center, Feldkirchenstraße 21);

 

Participation in the course has to be coordinated with the course instructor. Please inform us about your participation in advance, by writing an e-mail to courses.bagss(at)uni-bamberg.de

 

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Advanced Regression Analysis using Stata

Weekly Seminar


INSTRUCTOR: Paul Löwe, M.A., Dr Peter Valet

DATE & TIME: Thursday, 12 noon to 4 p.m.

PLACE: RZ/00.07 (Computing Center, Feldkirchenstraße 21)

 

Participation in the course has to be coordinated with the course instructor. Please inform us about your participation in advance, by writing an e-mail to courses.bagss(at)uni-bamberg.de

 

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Demographic Methods

Weekly Lecture


INSTRUCTOR: Professor Dr Henriette Engelhardt-Wölfler

DATE & TIME: Thursday, 10 a.m. to 12 noon

PLACE: RZ/00.05 (Computing Center, Feldkirchenstraße 21)

 

Participation in the course has to be coordinated with the course instructor. Please inform us about your participation in advance, by writing an e-mail to courses.bagss(at)uni-bamberg.de

 

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Applied Economics of Education

Weekly Lecture


INSTRUCTOR: Dr Anica Kramer

DATE & TIME: Monday, 2 to 4 p.m.

PLACE: F21/03.03 (Feldkirchenstraße 21)

 

Participation in the course has to be coordinated with the course instructor. Please inform us about your participation in advance, by writing an e-mail to courses.bagss(at)uni-bamberg.de

 

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Advanced Topics in Empirical Macroeconomics

Weekly Seminar


INSTRUCTOR: Professor Dr Christian Proaño

DATE & TIME: First meeting: 3.5.2022, 11:30 a.m. (further meetings will be announced in due time)

PLACE: F21/03.81 (Feldkirchenstr. 21)

 

Participation in the course has to be coordinated with the course instructor. Please inform us about your participation in advance, by writing an e-mail to courses.bagss(at)uni-bamberg.de

 

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The R and RStudio Environment: Handling, Visualisation and Communication of Data in Science

VHB Course


INSTRUCTOR: Professor Dr Judith Volmer

DATE & TIME: self-learning

PLACE: Online

 

Registation:www.vhb.org. Matriculated students of the University of Bamberg: free of costs. In case you are not matriculated as a student of the University of Bamberg: BAGSS will cover your participation costs upon proof of completion of the course.

Please inform us about your participation in advance, by writing an e-mail to courses.bagss(at)uni-bamberg.de

 

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The Bamberg Center for Empirical Studies (BACES) offers statistical consulting for the members (students, doctoral members, research fellows, scientific staff) of the University of Bamberg. The offer is free of charge and must be communicated in advance with the main supervisor of the research project. Consultation meetings can be offered either in English or in German. A max. of three meeting per research project must not be exceeded. 

Here you can register for a consultation meeting (for the moment in German only).

Apart from the consultation meetings, BACES offers immediate help for statistical problems in the form of short (20-minute max.) virtual meetings. Meetings can be offered in English or in German and take place every Thursday from 9 a.m. to 11 a.m.. Again, the first supervisor of the research project must be informed in advance and agree on the meeting.

To apply for a short meeting, please contact: beratung.baces(at)uni-bamberg.de

 

Here you can find more information regarding the statistical consultation of BACES

Here you can find all contact details of BACES.

Head of the Bamberg Center for Empirical Studies: Professor Dr Timo Schmid, Professor for Statistics and Econometrics, University of Bamberg.

This is an offer of the Bamberg Center for Empirical Studies (BACES)

BAGSS INTERNAL METHODS INSTITUTE, 04-08 APRIL 2022

DATE: Monday, 04 to Friday, 08 April 2022;

PLACE:  Main courses will be conducted in-person at Feldkirchenstraße 21, 96052, Bamberg. If necessary, hybrid course sessions can also be arranged. Side events will either be conducted virtually via Zoom or in hybrid formats. Please find more information below.

TIME: All main courses will be taught between 09:30 a.m. and 12:45 p.m. There is a possibility for afternoon group and lab sessions. Participants will be informed for any extra sessions soon. Participants of the course „Introduction to Coding Dynamical Systems and ABM models for Classical Political Economy and Ecological Economics” should read the course outline carefully before applying for the course (find a to the course outline below). Find more information on the time of the side events below. 

NUMBER OF PARTICIPANTS: A maximun of 15 participants per main course. Priority will be given to members of BAGSS. In case of free places, priority will be given to members of partner institutions (LIfBi and TRAc). Participation in the side events is open for all members of BAGSS, unless stated otherwise. 

REGISTRATION: To register for the main courses, please send an email to courses.bagss(at)uni-bamberg.de. You do not need to register for the side events, unless stated otherwise. Registration deadline: 21.03.2022.

 

 

 

Applied Panel Data Analysis

5-day Workshop (04-08 April 2022)


INSTRUCTOR: Professor Dr Volker Ludwig, TU Kaiserslautern

 

Course outline

The workshop covers basic and advanced methods of panel data analysis for social research from an applied perspective. The focus is on individual data from panel surveys (large N, small T).

Panel data offer important advantages over cross-sectional data, in particular, the identification of causal effects with relatively weak assumptions and the analysis of individual life-course trajectories. Special methods for panel data analysis are however needed to make use of these advantages. The workshop gives an applied overview. The starting point is the linear fixed effects (FE) regression model and its advantages compared to alternative models (random effects). The course furthermore covers the modelling of impact functions and growth curves with practical advice for researchers. Finally, useful extensions will be presented, notably the linear FE model with Individual Slopes (FEIS) and the FE logistic regression model (FE Logit). In the workshop, the structure of regression models is explained. The application of statistical models is demonstrated with Stata and real data examples.

 

Prerequistes

Knowledge of cross-sectional linear and logistic regression is assumed. Knowledge of Stata is an advantage.

 

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Introduction to Machine Learning for the Social Sciences

3-day Workshop (04-06 April 2022)


INSTRUCTOR: Patrick Schwabl, LMU Munich

 

Course outline

In the course, we will learn how to apply various machine techniques for social science problems. We will use R and the tidymodels package. Day 1 covers a general introduction to machine learning; we cover some basic principles and terms one often comes across in machine learning but that are rather uncommon in social science. Day 2introduces common non-deep-learning algorithms used in research. Day 3 will be about deep learning with examples from automated text analysis, a common task in social science. In the afternoon of every day, there will be lab sessions.

The goal after the three days workshop is that participants, (1) can understand basic principles and algorithms to build their machine learning models, (2) can implement machine learning algorithms and apply them to real-world social science questions, (3) get to know places where they can go to dig deeper and solidify their knowledge in machine learning.

This introductory course will cover the following topics:

- Preliminaries: What is Machine Learning? What is an algorithm? Machine Learning and classical social science statistics.

- Basic terms and principles in Machine Learning: Supervised and unsupervised Machine Learning: Train, Test, Validate, Bias-Variance trade-off, Cross-validation, Hyperparameters.

- The zoo of supervised and unsupervised machine learning algorithms: Support vector machine, Random Forest, Clustering (K-means, Hierarchical), Dimensionality reduction (Principal component analysis, T-stochastic neighbour embedding).

- Neural Networks and Deep Learning: What do they do and why are they so successful? Neural networks in a nutshell (Frank Rosenblatt's perceptron, the structure of a neural network, Nodes, Weights, Backpropagation).

- Automated text analysis with neural networks: The distributional hypothesis, Word2Vec, Word vectors,Text classification with word vectors.

 

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Offer in cooperation with the Research Training Group "Bounded Rationality, Heterogeneity and Network Effects"

Introduction to Coding Dynamical Systems and ABM models for Classical Political Economy and Ecological Economics

3-day Workshop (04-06 April 2022)


INSTRUCTOR: Dr Oriol Vallès Codina, Leeds University Business School

 

Course outline

Self-organizing, out-of-equilibrium, ever-evolving systems are ubiquitous in nature and in the economy. Examples encompass the climate, ecosystems, living cells, the human brain, and many socio-economic systems. Their dynamical behavior posits great challenges in the pressing context of the climate crisis, since they may show nonlinearities, feedback loops, and the emergence of spatio-temporal patterns, characterized by resilience or instability, plasticity or rigidity; bifurcations, thresholds and tipping points; burst-in excitation or slow relaxation, and worlds of other asymptotic behavior, hysteresis, and resistance to change. By presenting and coding some of their ecological applications in classical political economy and Keynesian economics, this workshop aims to introduce graduate students to the basics of dynamical-systems theory and complexity science, with an emphasis on how these models can be deployed to understand and face the urgency of the dual climate and economic crisis.

No previous knowledge in linear algebra or R coding language is required, but will certainly help follow the workshop. Students wishing to replicate the code and simulations during the sessions should already have RStudio installed on the computer.

 

Prerequistes

If you would like to participate, please send a short email describing your motivation, together with your CV to xanthi.tsoukli(at)uni-bamberg.de before 22.03.2022. You will be notified of your participation by 25.03.2022.

 

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Please note that the course is organised by the Research Training Group "Bounded Rationality, Heterogeneity and Network Effects", University of Bamberg

 

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Volker Ludwig is Assistant Professor for Applied Sociology at the Technische Universität Kaiserslautern. His research interests include family research, labor market research and social research methods, in particular survey methods and statistical analysis of longitudinal data.

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Patrick Schwabl is Research Associate at the Institute for Media and Communication of the LUM in Munich, where he is part of the research project "Algorithmic Biases in Search Engines at the 2021 Parliamentary Elections in Germany".

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Oriol Vallès Codina researches the macroeconomics of structural change in the context of the climate crisis and uneven development from the critical lens of classical political economy. Since February 2022, he is a Research Fellow in Economics at Leeds University Business School and previously was Research Fellow in Innovation Policy at the Institute for Innovation and Public Purpose, University College London.

Coffee Breaks

Coffee and Snacks will be served at the BAGSS kitchen every day, from 04 to 08 April. Please feel free to serve yourselves!

 

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Welcome Dinner

Monday, 04.04.2022 at 6:30 p.m.

 

We cordially invite all participants to joint us for a common Welcome Dinner on Monday, at 06:30 p.m. at Einhornskeller (Jakobsberg 8, Bamberg). Registration for the Welcome Dinner is mandatory and binding. We will contact all participants to confirm their registration for the welcome dinner and their food choices.

 

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BAGSS & LIfBi Joint Lunchtime Talk

How to prepare for a successful PhD defense

Tuesday, 05.04.2022, 1 to 2 p.m. via Zoom

 

On this first BAGSS & LIfBi Joint Lunchtime Talk for the summer term 2022 we are very happy to welcome three alumni of BAGSS, Ai Miyamoto, Daniela Araujo and Javier Martínez Cantó, for a discussion on their experience with the PhD defense. How did they prepare themselves? What did they pay attention to? What kinds of questions did they have to answer? How long did it last? The three will be there to answer all your questions and give you their tips and suggestions for a successful PhD defense. 

 

Zoom link: https://uni-bamberg.zoom.us/j/94221227805

Password: S4mQ=.

 

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BAGSS Semester Colloquium

Open Science: Improving the Quality of Social Scientific Research

Wednesday 06.04.2022 at 5 p.m.; Hybrid session via Zoom and at Feldkirchenstraße 21, Room FG1/00.08 (BAGSS).

Invited Speaker: Dr Alexander Wuttke, Mannheim Centre for European Social Research (MZES)

Alexander Wuttke is a Postdoctoral Fellow at MZES (Mannheim Centre for European Social Research). Previously, he was employed at Gesis and the University of Mannheim where he was involved with carrying out the German Longitudinal Election Study (GLES). He is a catalyst of the Berkeley Initiative for Transparency in the Social Science and one of the co-founders of the Mannheim Open Science Meetup.

 

Zoom link:https://uni-bamberg.zoom.us/j/96166390595

Password: ?Z9Zh@

PROFESSIONAL SKILLS

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Funding Possibilities for Starter Scholarship Holders

Consultation Meetings organised by the Graduate Centre Trimberg Research Academy (TRAc), University of Bamberg


INSTRUCTOR: Dr  Marion Hacke

DATE & TIME: By appointment

The meetings cover every step of fundraising, from an overview of the funding landscape in Germany to the funding application process. In order to make your consultation more productive you are advised to send Dr Hacke your questions and ideas in advance, for her to prepare.

To register, please send an e-mail to Dr Marion Hacke: promotion.trac(at)uni-bamberg.de. Registration is mandatory!

After making an appointment, please inform us by writing an e-mail to courses.bagss(at)uni-bamberg.de.

 

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Career Planning for Postdoctoral Researchers

Consultation Meetings organised by the Graduate Centre Trimberg Research Academy (TRAc), University of Bamberg


INSTRUCTOR: Dr Martin Rehfeldt and Dr Antonia Widmer-Leitz

DATE & TIME: By appointment

The meetings cover every step of planning an academic career after the end of the doctoral studies, including assistance by the application process for third-party funding. In order to make your consultation more productive you are advised to send your questions and ideas in advance.

To register, please send an e-mail to Dr Martin Rehfeldt and Dr Antonia Widmer-Leitz: postdoc.trac(at)uni-bamberg.de. Registration is mandatory!

After making an appointment, please inform us by writing an e-mail to courses.bagss(at)uni-bamberg.de.

 

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BAGSS, LIfBi & TRAc Joint Workshop

Writing and Publishing Academic Articles

2-day Workshop


INSTRUCTOR: Dr Sabrina Sontheimer

DATE & TIME: Monday 13 & Monday 27 June 2022; 09:30 a.m. to 02:30 p.m.

PLACE: Online sessions via Zoom (details to be announced to course participants in due time)

 

To register, please send an e-mail to courses.bagss@uni-bamberg.de. Registration is mandatory: the number of participants is limited to 12!

Registration deadline: 27.05.2022

 

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Please pay attention to the changes: Online Workshop!

LIfBi, BAGSS & TRAc Joint Workshop

DFG - Design and successfully apply for projects

1-day Workshop

 

INSTRUCTOR: Dr Dennis Kirchberg, FAU Erlangen

DATE & TIME: Monday, 23 May 2022; 9:30 a.m. to 4:30 p.m. (s.t.)
 

PLACE: Online via Zoom!!! (More information will be shared with course participants in due time)

 

To register, please send an email to weiterbildung(at)lifbi.de. Registration is mandatory! The number of participants is limited to 12!

Registration deadline: 01.05.2022

 

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LIfBi, BAGSS & TRAc Joint Workshop

Own your PhD: Time- and Self-Management

2-day Workshop


INSTRUCTOR: Dr Christiane Kasack

DATE & TIME: Monday, 2 May 2022; 9:30 a.m. to 5 p.m. (s.t.)
Tuesday, 3 May 2022; 1 p.m. to 4:30 p.m. (s.t.)

PLACE: LIfBi, Wilhelmsplatz 3, 96047 Bamberg, Room 01.04

 

To register, please send an e-mail to weiterbildung(at)lifbi.de. Registration is mandatory: the number of participants is limited to 12!

Registration deadline: 18.03.2022

 

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BAGSS & LIfBi JOINT LUNCHTIME TALKS

The Lunchtime Talks is the joint series of the Leibniz Institute for Educational Trajectories (LIfBi) and the Bamberg Graduate School of Social Sciences (BAGSS). Meetings take place online via Zoom. Details on how to participate can be found below.

The Lunchtime Talks are open to members of the University of Bamberg and the LIfBi and are especially interesting for doctoral and postdoctoral fellows.

For more information, please contact: weiterbildung(at)lifbi.de;  courses.bagss(at)uni-bamberg.de

No registration required!

PLEASE PAY ATTENTION TO FUTURE ALTERATIONS OF THE INITIAL PROGRAMME!

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  • Tuesday, April 05, 2022, 01:00 - 02:00 p.m.

Daniela Araujo, Javier Martínez Cantó & Ai Miyamoto

Alumni of the Bamberg Graduate School of Social Sciences (BAGSS)

How to prepare for a successful PhD defense

No registration required

Zoom Meeting: https://uni-bamberg.zoom.us/j/94221227805

Password: S4mQ=.

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  • Tuesday, May 31, 2022, 01:00 - 02:00 p.m.

Professor Dr Ilka Wolter

Leibniz Institute for Educational Trajectoeries & University of Bamberg

Leading a Junior Research Group

No registration required

Zoom Meeting: https://uni-bamberg.zoom.us/j/97319649435

Password: p8@VAF

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  • Tuesday, June 14, 2022, 01:00 - 02:00 p.m.

Ricarda Ziegler

Project Led Science Barometer, Wissenschaft im Dialog

The Science  Barometer: A representative survey of German citizens on science and research

No registration required

Zoom Meeting: https://uni-bamberg.zoom.us/j/95689194657

Password: H8!3@b

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PAST COURSES

You can find a selection of past courses offered by the Graduate School here.

 

 

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