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

Causal Inference without Causal Parameters

Wednesday, 20 March 2024; 6.00 p.m., Feldkirchenstraße 21, Room FG1/00.08 (hybrid session)

Invited speaker: Professor Dr Ulrich Kohler // University of Potsdam

 

The Bamberg Graduate School of Social Sciences is delighted to announce Professor Dr Ulrich Kohler as a keynote speaker. He is Professor for Methods of Empirical Social Sciences at the University of Potsdam. After finishing his PhD at the University of Mannheim he worked as research assistant at the Berlin Social Science Center (WZB) at the department “Inequality and social Integration” and published fundamental research in data analysis with STATA.

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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: Hybrid sessions (via MS Teams and presential)

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 Carina Schmitt

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, 10 a.m. to 12 p.m.

PLACE: Leibniz Institute for Educational Trajecories, Wilhelmspost 3, 96047 Bamberg (& also 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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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: N.N.

DATE & TIME: Tuesdays, 12.00 - 2.00; Thursdays

PLACE: F21/03.03; RZ/00.06

 

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: Dr Alexander Herzog, University of Bamberg

DATE & TIME: Mondays, 12.00 -2.00 (Start: 16. October 2023)

PLACE:  F21/02.31

 

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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Computational Text Analysis for Social Science

Weekly Course


INSTRUCTOR: Sergei Pashakhin, M.A., University of Bamberg

DATE & TIME: Wednesdays, 12.00 - 2.00

PLACE:  FMA/01.19

 

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, 08.00 - 12.00 a.m.

PLACE: RZ/00.06

 

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

Weekly course


INSTRUCTORS: Prof Dr Michael Gebel, Daniel Zeddel, M.A., University of Bamberg

DATE & TIME: Tuesdays, 10.00 -12.00 a.m.

PLACE: F21/02.55

 

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

INSTRUCTORS: Prof Dr Mark Trappmann, University of Bamberg

DATE & TIME: Wednesdays, 10.00 - 2.00 p.m.

PLACE: F21/03.01

 

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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Algorithms for Economics and Politics & Economics and Politics for Algorithms

Weekly course


INSTRUCTOR: Prof Dr Florian Herold, University of Bamberg

DATE & TIME: Mondays, 10.00 - 12.00 a.m.; Thursdays, 2.00 - 4.00 p.m.

PLACE: F21/03.81; F21/03.02

 

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: FU Berlin, Michael Mühlbauer, University of Bamberg

DATE & TIME: Mondays, 2.00 - 6.00 p.m.

PLACE: FMA/01.19

 

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

WORKSHOPS ON METHODS AND RESEARCH DESIGN

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BAGSS and LIfBi Joint Workshop

Combining R and LaTeX for dynamic document creation

Half day Workshop


INSTRUCTOR: Dr Ariane Würbach, Leibniz-Institute for Educational Trajectories

DATE & TIME: Tuesday, 06 February 2024, 09.00 - 01.00 p.m. (s.t.)

PLACE: LIfBi, Wilhelmsplatz 3, 96047 Bamberg

To register, please send an e-mail to weiterbildung@lifbi.de

 

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

Registration deadline: 23 January 2024

 

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BAGSS and LIfBi Joint Workshop

Introduction to Git for Social Scientists

One day Workshop


INSTRUCTOR: Dr Diana Schacht, German Youth Institute

DATE & TIME: Friday, April 12th, 2024, 09.30 a.m. to 12.45 p.m. (s.t.) & 01.45 p.m. to 05.00 p.m. (s.t.)

PLACE: BAGSS, Feldkirchenstraße 21, 96050 Bamberg, Room FG1/00.06

To register, please send an e-mail to courses.bagss@uni-bamberg.de

 

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

Registration deadline: 01 April 2024

 

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BAGSS and LIfBi Joint Workshop

Cluster Analysis and Latent Class Analysis

One and a half day Workshop


INSTRUCTOR: Professor Dr Robin Samuel, University of Luxembourg

DATE & TIME: Monday, May 6th, 2024, 09.00 a.m. to 05.00 p.m. (s.t.) & Tuesday, May 7th, 2024, 01.00 p.m. to 05.00 p.m. (s.t.)

PLACE: BAGSS, Feldkirchenstraße 21, 96050 Bamberg, Room FG1/00.06

To register, please send an e-mail to courses.bagss@uni-bamberg.de

 

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

Registration deadline: 08 April 2024

 

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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.

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, 18-22 March 2024

DATE: Monday, 18 to Friday, 22 March 2024;

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. Find more information on the time of the side events below. 

NUMBER OF PARTICIPANTS: A maximum 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. Theregistration phase ends at 26 February 2023.

 

 

 

COURSES

Advanced Topics in Applied Regression Analysis

4-day Workshop (18-21 March 2024)


INSTRUCTOR: Professor Levente Littvay, Centre for Social Sciences, Hungarian Academy of Sciences Centre of Excellence

 

Course outline

While it feels like regression analysis is not getting much love these days in the social sciences, it is still foundational for survey analysis – the tool that causal inferential models utilize for most (if not all their) estimation and that serves as the basis of the fancy advanced techniques receiving most of the attention today in social science outlets. For this reason, it is not only worth learning regression foundations well, but it is important to understand how advanced techniques build upon regression to analyse more flexibly.

We will start by reviewing the assumptions of regression modeling with an eye on what could go wrong with the kind of data used in the social sciences. We will explore the estimators and link functions necessary to deal with binary, ordered, and unordered (multinomial) outcomes with a specific emphasis on the correct interpretation of such regression results. Second, we start to explore the complexities of various data structures that emerge in voting behavior research, such as cross-country surveys, repeated cross-sectional surveys, panel data, or other within-person analyses. We will approach this complexity through three approaches: clustered standard errors, fixed and random effects corrections, also venturing into the world of multilevel modeling. In addition, we will also consider the (admittedly frustrating) topic of survey weights and discuss considerations and limitations in their applications. Building on this knowledge, time allowing, we will address topics of nonresponse and use imputation procedures for item missing data.

Although we will not fully cover topics of GLM, panel data analysis, multilevel modeling, sampling and weights, missing data, we will highlight the foundations important to embark on any of these paths and have glance at (and take home some R code for) examples of such analyses. This workshop will have an applied focus and will not go into the mathematical foundations of mentioned tools.

Prerequisites

If you have done regressions before but feel like you are missing some foundations, you need a review, or you would like to build on the regression basics you have expanding into the advanced topics, you have come to the right workshop. If you have never done any regression analysis and would like to receive an introduction, this workshop is probably not for you just yet.

Basic R knowledge is strongly recommended. At least, you should be able to load a dataset and run a simple lm command. If you don’t know how to do this, please get there before the workshop. (This is not much, you can do it.) Also, once you know what you are doing, you can easily transfer your knowledge to the analysis tools of your preference.

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Coding and Analysing Qualitative Data

5-day Workshop (18-22 March 2024)


INSTRUCTOR: Professor Dr Lasse Gerrits, Erasmus-University of Rotterdam

 

Course outline

Qualitative data can be very complex. Data coding allows one to organize, relate, and visualize data. Above all, it is a powerful tool to generate results in a structured and transparent fashion. Over decades, qualitative data coding has become much more advanced, not in the least because of the arrival of software packages that support it. This course introduces PhD students to qualitative data coding. The course addresses two aspects: the logic and operations of coding, and the use of software when coding data. We will address topics such as understanding the (layered) complexity of data, data exploration, discovery of patterns, structuring and visualization, and presentation of the results. This course is especially useful for those PhD students actively working with qualitative data, if only because there will be opportunities to explore and code one’s own dataset. Please note: the course is not just focused on how the software works. It very much is about getting coding right, regardless of whether software is involved or not.

Prerequisites

Please ensure that you have the software MAXQDA or AtlasTI installed. MAXQDA is supported by the University of Bamberg, but we can also use AtlasTI. Please ensure that you have a qualitative dataset available. This can be of any type (e.g., interview transcripts, newspaper articles, photos or videos). This dataset should be accessible on the same laptop that has the software installed. PhD students who followed the BAGSS course ‘Qualitative Research Design’ get priority in enrollment.

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Introduction to Machine Learning for Social Sciences

5-day Workshop (18-22 March 2024)


INSTRUCTOR: Dr Jens Wäckerle, University of Cologne

 

Course outline

In this course, students will learn the basics of machine learning, specifically for social scientists. While the course will introduce specific models, such as support vector machines, decisions trees, or lasso regressions, we will also focus on general principles that apply to all machine learning algorithms. This will equip students with the tools to not only apply machine learning in their own research, but also judge the performance of such models and adapt to new developments in the field. The course includes practical applications with code and examples from different social science fields.

 

Prerequisites

All code examples and applications will be done in R. The course requires basic knowledge of R, which includes being able to load and work with data. The code examples are based on the tidyverse (e.g. filter, mutate, summarise functions), but can be adjusted to base R without much trouble. No special mathematical knowledge beyond master level statistics and quantitative methods courses is required, the course focuses on the concepts of machine learning algorithms rather than the mathematical basis. The examples and lab session don’t require any in-depth knowledge of political science or any other field

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Levente Littvay is

 

a Research Professor (part-time) at the Centre for Social Sciences of the Hungarian Academy of Sciences Centre of Excellence. His research interests include multilevel & structural equation models, populist polarization, in particular the measurement & mitigation of partisan motivated democracy eroding policy preferences, and motivations underlying secessionist attitudes.

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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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Jens Wäckerle is

 

a post-doctoral researcher at the Cologne Center for Comparative Politics and currently the substitute professor at the Chair of European Politics. His research focuses on women in politics, legislative politics, quantitative text analysis and the European Union. He holds a Master degree from the University of Essex and a PhD from the University of Cologne.

 

Coffee Breaks

Coffee and Snacks will be served at the BAGSS kitchen every day, from 18 to 22 March. Please feel free to serve yourselves!

 

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Welcome Dinner

Monday, 18.03.2024 at 6.00 p.m.

 

We cordially invite all participants to joint us for a common Welcome Dinner on Monday, at 06:30 p.m. at Cafe Luitpold (Schönleinsplatz 4, 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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Meet the Data

General Introduction to the Socio-Economic Panel (SOEP)

Tuesday, 19.03.2024, 2 to 4 p.m. via Zoom and in FG1/00.06 (Stream)

 

Dr Sandra Bohmann will offer an online introduction to the data of the Socio-economic panel study. With its long-running panel structure, the range of topics and the representative nature of the data, the SOEP has become a central resource for quantitative research in the social sciences in Germany. Participants will be introduced to the content of the study and its data structure. We will also broadcast the event in our seminar room FG1/00.06.

 

Zoom link: uni-bamberg.zoom-x.de/j/68360914733

Password:aY8P#i

 

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BAGSS Semester Colloquium

Causal Inference without Causal Parameters

Wednesday 20.03.2024 at 6 p.m.; Hybrid session via Zoom and at Feldkirchenstraße 21, Room FG1/00.08 (BAGSS).

Invited Speaker: Prof Dr Ulrich Kohler, University of Potsdam

Kohler is a methodically thinking professor of sociology interested in the research of causes and consequences of social inequality He studied Sociology, History and Public Law at the universities of Konstanz and Mannheim After finishing his PhD at the University of Mannheim he worked as research assistant at the Berlin Social Science Center (at the department “Inequality and social Integration and published fundamental research in data analysis with STATA Since 2012 he is Professor for Methods of Empirical Social Sciences at the University of Potsdam

Zoom link:uni-bamberg.zoom-x.de/j/67047301370

Password:12Cnp$

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BAGSS Roundtable

Unofficial Biographies

Thursday 21.03.2024 at 2 p.m.; Room FG1/00.08 (BAGSS).

Have you ever looked at an academic resume and wondered how they managed their career so flawlessly? It is time to look behind the scenes and reveal the real stories behind official CVs. Our course instructors and members of the faculty will share their pitfalls, problems and anecdotes in an informal discussion.

Please send your questions to courses.bagss[at]uni-bamberg.de and we will ask them anonymously to the speakers. Afterwards, you can enjoy a farewell coffee and cake and continue the conversation with your fellow students and instructors.

Panel:

// Dr Jana Costa, Leibniz-Institute for Educational Trajectories
// Professor Dr Lasse Gerrits, Erasmus-University of Rotterdam
// Dr Jens Wäckerle, University of Cologne

Moderation:

// Dr Jacqueline Kroh, Leibniz-Institute for Educational Trajectories

COURSES AND WORKSHOPS ON PROFESSIONAL SKILLS

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BAGSS, LIfBi & TRAc Joint Workshop

Strategic Networking

Building a network for Career, Collaborations & Conferences

Two day Workshop


INSTRUCTOR: Rob Thompson, RTTA soft skills for real results

DATE & TIME: Tuesday, 23 July 2024, 09.00 - 05.00 p.m.

PLACE: An der Universität 5, 96047 Bamberg, Room U5/02.22

To register, please send an e-mail to workshops.trac@uni-bamberg.de.

 

Registration is mandatory! The number of participants is limited to 12!

Registration deadline: 09 July 2024

 

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BAGSS, LIfBi & TRAc Joint Workshop

Academic Writing with AI Tools

Two day Workshop


INSTRUCTOR: Dr Sabrina Sontheimer, kommkult

DATE & TIME: Monday, 13 May 2024, 09.30 - 10.00 a.m. (s.t.) [Kick-Off] & Monday, 10 June, 2024, 09.00 a.m. to 01.00 p.m. (s.t.) [1st Workshop Day] & Monday, 01 July, 2024, 09.00 a.m. to 01.00 p.m. (s.t.) [2nd Workshop Day]

PLACE: An der Universität 5, 96047 Bamberg, Room U5/02.22

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: 28 April 2024

 

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

 

 

PAST COURSES AND GUEST LECTURES

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

Guest lectures from previous semesters are listed here.

 

 

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