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

Innovative Data Sources for Social Scientists

Wednesday 18.01.2023 at 6.00 p.m. (s.t.); Hybrid session via Zoom and at Feldkirchenstraße 21, Room FG1/00.08 (BAGSS).

Invited Speaker: Professor Dr Frauke Kreuter, Ludwig-Maximilians-Universität Munich


The Bamberg Graduate School of Social Sciences is pleased to announce Professor Dr Frauke Kreuter as a guest lecturer for this winter terms Semester Colloquium. She holds the Chair of Statistics and Data Science at LMU Munich and at the University of Maryland and is Co-director of the Social Data Science Center and faculty member in the Joint Program in Survey Methodology. She will share her in-depth experience in using innovative data sources in social science research projects.

 

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: Wednesdays, 4 p.m. to 6 p.m. (c.t.)

PLACE: Online via Zoom

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 a.m. to 12 a.m. (c.t.)

PLACE: Online sessions via Zoom

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: Leibniz Institute for Educational Trajecories, Wilhelmspost 3, 96047 Bamberg

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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BAGSS & LIfBi JOINT LUNCHTIME TALKS

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, November 08, 2022, 01:00 - 02:00 p.m.

Prof Dr Gundula Zoch

Assistant Professor for Sociology of Social Inequalities | University of Oldenburg & Research Fellow | Leibniz Institute for Educational Trajectories

How to Make the Most out of Your PostDoc

No registration required

Zoom Meeting: https://uni-bamberg.zoom.us/j/69233236083

Password: ?A70iK

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  • Tuesday, November 22, 2022, 01:00 - 02:00 p.m.

Yannik Buhl

Data journalist and former economics editor at Stuttgarter Zeitung

Telling Stories with Data

No registration required

Zoom Meeting: https://uni-bamberg.zoom.us/j/66129623765

Password: 0GF?1*

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  • POSTPONED:tba.

Tabea Feseker

Senior Project Leader at infas | Institute for Applied Social Science GmbH, Bonn

How to Balance Quality, Cost and Schedule

No registration required

Zoom Meeting: https://uni-bamberg.zoom.us/j/69184131015

Password: d*QL42

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COURSES AND WORKSHOPS ON METHODS AND RESEARCH DESIGN

WEEKLY COURSES ON METHODS AND RESEARCH DESIGN

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Introduction to Statistics for Social Science

Weekly course


INSTRUCTOR: Lukas Hohendorf, University of Bamberg

DATE & TIME: Wednesdays, 10:15 a.m. to 11:45 a.m. (Start date: Wednesday 19 Oct 2022)

PLACE: RZ/00.05 (Computing Center, Feldkirchenstraße 21), synchronous online format with weekly Zoom meetings

 

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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Research Design and Causal Inference

Weekly course


INSTRUCTOR: Prof Dr Ulrich Sieberer, University of Bamberg

DATE & TIME: Mondays, 10:15 a.m. to 11:45 a.m. (Start date: Monday 17 Oct 2022)

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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Policy Making in the European Union. Institutions and Decision-Making Processes in the European Migration and Asylum Policy

vhb course


INSTRUCTOR: Prof Dr Daniel Göler, University of Passau

DATE & TIME: Start date: Monday, 17 Oct 2022

PLACE: virtual vhb course, asynchronuous with exercises for self-study

 

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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Regionalism and Global Governance

vhb course


INSTRUCTORS: Prof Dr Bernhard Stahl & Prof Dr Stephan Stetter, University of Passau

DATE & TIME: Start date: Monday, 17 Oct 2022

PLACE: virtual vhb course, asynchronuous with exercises for self-study

 

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 Panel Data Analysis

Weekly course


INSTRUCTORS: Prof Dr Michael Gebel & Chen-Hao Hsu, M.A., University of Bamberg

DATE & TIME: Mondays, 8:15 a.m. to 11:45 a.m. (Start date: Monday 17 Oct 2022)

PLACE: RZ/00.06 (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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Opportunities and Limitations of Causal Inference Based on Observational and Randomized Controlled Trial (RCT) Data

Weekly course


INSTRUCTOR: Dr Gwendolin Blossfeld, University of Bamberg

DATE & TIME: Fridays, 8:15 a.m. to 11:45 a.m. (Start date: Friday 21 Oct 2022)

PLACE: RZ/01.02 (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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Mixed-Mode-Surveys

Weekly course


INSTRUCTOR: Prof Dr Mark Trappmann, University of Bamberg

DATE & TIME: Wednesdays, 10:15 a.m. to 13:45 p.m., block course (Wednesday 19 Oct 2022 - Wednesday 30 Nov 2022; Wednesday 14 Dec 2022)

PLACE: presential

 

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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Population Studies: Digital Demography

Weekly course


INSTRUCTOR: Prof Dr Henriette Engelhardt-Wölfler, University of Bamberg

DATE & TIME: Mondays, 10:15 a.m. to 11:45 a.m. (Start date: Monday 17 Oct 2022)

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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Causal Machine Learning

Weekly course


INSTRUCTOR: Michael Mühlbauer, University of Bamberg in cooperation with University of Berlin

DATE & TIME: Tuesdays, 10:15 a.m. to 11:45 a.m. (Start date: Tuesday 18 Oct 2022)

PLACE: FMA/01.20 (Mensa Alt, Feldkirchenstraße 21), online lecture

 

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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BAGSS and LIfBi Joint Workshop

Group Comparisons with Structural Equation Models.

Two-day Workshop


INSTRUCTOR: Dr Marie-Ann Sengewald, Leibniz Institute for Educational Trajectories

DATE & TIME: Wednesday, 25 January 2023; 09:00 a.m. to 05:00 p.m. & Friday, 27 January 2023, 09:00 a.m. to 05:00 p.m. (s.t.)

PLACE: LIfBi, Wilhelmsplatz 3, 96047 Bamberg, Room 02.20

To register, please send an e-mail to weiterbildung(at)lifbi.de

 

Registration is mandatory! The number of participants is limited to 16!

Registration deadline: 20.12.2022

 

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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, 27-31 March 2023

DATE: Monday, 27 to Friday, 31 March 2023;

PLACE:  Main courses will be conducted in-person at Feldkirchenstraße 21, 96052, Bamberg. Side events will either be conducted hybrid or on-site. Please find more information below.

TIME: All main courses will be taught between 09:30 a.m. and 01:00 p.m. There is a possibility for afternoon group and lab sessions. Participants will be informed for any extra sessions soon.  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: Mail to courses.bagss(at)uni-bamberg.de. Registration is mandatory. The number of participants
is limited to 15 for each course. The exclusive BAGSS registration phase ends at 15 February 2023.

 

 

 

COURSES

Applied Panel Data Analysis

5-day Workshop (27-31 March 2023)


INSTRUCTOR: Junior 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.

Prerequisites

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

 

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Applied Social Network Analysis

5-day Workshop (27-31 March 2023)


INSTRUCTOR: Silvia I. Fierăscu, PhD, West University of Timișoara

 

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.

Prerequisites

- Interdisciplinary readings (network science, social network analysis, political network analysis, organizational network analysis, policy network analysis)
- Software fundamentals (tutorials of R and Gephi)

 

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Qualitative Research Design

2,5-day Workshop (27-29 March 2023)


INSTRUCTOR: Professor Dr Lasse Gerrits, Erasmus University Rotterdam

 

Course outline

Qualitative research comes in many forms. Among many others, it encompasses historical analysis of processes, case comparisons, action research, and grounded theory (to name but a few). Some approaches are meant to build theories, others to test existing theories. Each approach comes with a specific set of data sources. For example, historical research often relies on archival sources, while an ethnography often relies on observations and interviews. It implies that your research project must be designed with attention to your goals, the types of analytical statements you would like to make, and the data sources available. The goal of this course is to introduce you to the main research designs in qualitative research, and to help you identifying the right design for your research, as well as guiding you towards the data sources and analytical methods you would like to use. We will also look at some key aspects of qualitative research, in particular data coding and subsequent analysis of the codes. Last but not least, we will discuss how different designs may be combined. Please note that this course is primarily about qualitative (case-based) research designs. It does not teach a specific analytical technique. Also, this course is not fitting for PhD projects that use quantitative data.

 

Prerequisites

This is an introductory course, so no prior knowledge required.

 

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Qualitative Comparative Analysis

2,5-day Workshop (29-31 March 2023)


INSTRUCTOR: Professor Dr Lasse Gerrits, Erasmus University Rotterdam

 

Course outline

This course introduces PhD students to the logic and application of Qualitative Comparative Analysis (QCA) in empirical research in the social sciences. QCA is a systematic comparative method for small to medium n-samples (usually between ~10 and ~50 cases). It can process both qualitative and quantitative data. The underlying logic is rooted in set-theory and Boolean algebra. This means that QCA is not only a technique but also an approach that requires one to rethink certain core assumptions in social science research, such as causality and casing. In this course, we will discuss the main characteristics and operations of QCA, and will outline what QCA means for your research project. You will be made familiar with the method through exercises. Importantly, you will be asked to apply some of the operations to your own dataset (or a given dataset in case you don’t have one yet) so that you will be able to start using the method on your own by the end of the course.

 

Prerequisites

  • You should have taken the Qualitative Research Design course before the QCA course.
  • We will use R for data processing. Please make sure you have R running on your laptop, and that you have the QCA package installed: https://cran.r-project.org/web/packages/QCA/index.html
  • Preferably, you have a dataset ready. This doesn’t have to be a fully prepared set. In case this comes to early: we can also work with pre-made datasets that the instructor will bring along

 

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Financial Frictions in DSGE Models

2,5-day Workshop (29-31 March 2023)


INSTRUCTOR: Dr Husnu Dalgic, University of Mannheim

 

Course outline

DSGE models with financial frictions have become the standard in academia as well as in policy institutions.  This course is designed to familiarize students with the literature on financial frictions in macroeconomics and cutting-edge methods. We will start with a brief introduction to DSGE models and solution methods. We will then incorporate financial frictions into DSGE models to see (i) how financial shocks are transmitted to the economy and (ii) how non-financial shocks are amplified via financial accelerator. Next we will cover models of financial crises and how to integrate them into DSGE framework. We will also explore how financial frictions interact with topics like economic growth and inequality.

 

Prerequisites

  • Prior knowledge of DSGE models and Matlab/Dynare would be helpful but not required.

 

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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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Lasse Gerrits is

 

Academic Director at the Institute for Housing and Urban Development Studies of Erasmus University Rotterdam, focusing on the PhD program, student supervision, and developing the scientific portfolio of the institute.

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Silvia Fierăscu is

Lecturer at the Department of Philosophy and Communication Sciences, the Founder and Director of FabLab - Social Fabrics Research Lab, and Researcher at the Big Data Science Laboratory, all at West University of Timișoara and she is Head of OrgMapper Academy at Maven7 Network Research Inc.
Her research interests are on applications of network and data science to social science problems.

COURSES AND WORKSHOPS ON 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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Introduction to the Legal Issues of Doctoral Studies and Good Academic Practice

Asynchronous Learning


INSTRUCTOR: Ass. jur. Florian Kühhorn, University of Bamberg

DATE & TIME: Asynchronous Learning

The course offers an overview on the various legal prerequisites of doctoral studies in Bavaria, based on the Bavarian University and College Act and the Doctoral Degree Regulations of the various faculties of the University of Bamberg. Moreover, the course approaches questions of academic fraud and plagiarism, covering the basic principles of copyright law and good academic practice.

This course is mandatory for all incoming doctoral members of BAGSS as well as for former regular BAGSS members who have not attended the course yet.

 

To register, please send an email at courses.bagss(at)uni-bamberg.de

 

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Have a look at the programme of the following institutions as well. To register for offers, please contact the respective institution independently.
 

 

 

PAST COURSES

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

 

 

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