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
BAGSS Semester Colloquium
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Interpretation of Statistical Analyses Using Quantites-of-Interest
Wednesday, 09 April 2025; 5.00 p.m., Feldkirchenstra?e 21, Room FG1/00.08 (hybrid session)
Speaker: Professor Dr Thomas Gschwend // University of Mannheim
Thomas Gschwend is Professor for Political Science, Quantitative Methods in the Social Sciences at the School of Social Sciences and a project director at the Mannheimer Zentrum für Europ?ische Sozialforschung. His substantive research focuses on electoral behavior, public opinion and comparative politics.
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Global Dignity and “Seeing Others”: Political, Environmental, and Work-Based Recognition Compared
Thursday, 08 May 2025; 6.00 p.m., Feldkirchenstra?e 21, Room FG1/00.08 (hybrid session)
Speaker: Professor Dr Michèle Lamont // Harvard University
Michèle Lamont s a cultural sociologist who studies morality, group boundaries, and inequality. She has tackled topics such as dignity, respect, stigma, racism, and how we evaluate social worth across societies in Money, Morals and Manners, The Dignity of Working Men, How Professors Think, Getting Respect: Responding to Stigma and Discrimination in the US, Brazil and Israel (coauthored), and Seeing Others: How to Redefine Worth in a Divided World (Penguin/Simon & Schuster 2023). She is at work on a book tentatively titled “Recognition Globally.” The recipient of various awards (most recently, the 2024 Kohli Prize for Sociology), she has served as President of the American Sociological Association and is an elected member of the American Academy of Arts & Sciences, the American Philosophical Society, the British Academy, and the Royal Society of Canada.
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Climate Inequalities in the Global South: from Perceptions to Protest
Wednesday, 09 Juli 2025; 6.15 p.m., Feldkirchenstra?e 21, Room FG1/00.08 (hybrid session)
Speaker: Professor Dr Gabriele Spilker // University of Constance
Gabriele Spilker is a Professor of International Politics with a focus on Global Inequalities at the University of Konstanz and Co-Speaker of the Excellence Cluster “The Politics of Inequality”. She completed her PhD at ETH Zurich and she was a Fritz Thyssen Fellow at the Weatherhead Center of International Affairs at Harvard University. She was a postdoctoral researcher at ETH Zurich, as well as Assistant Professor of International Politics and Empirical Research Methods at the Department of Political Science and Sociology of the University of Salzburg.
Her main research interests concern the determinants and the consequences of inequality. In particular, she focuses on the consequences of climate change for migration and conflict as well as inequalities in perceiving globalisation processes.
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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).
(BAGSS Pillar 1)
Weekly sessions
ORGANISERS: Professor Dr Cordula Artelt and Dr Ilka Wolter
TIME: Wednesdays, 12 a.m. to 2 p.m. (c.t.)
PLACE: LIfBi, Wilhelmspost 3, 95047 Bamberg, Room 02.20
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 Pillar 2 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 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 3)
Weekly sessions
ORGANISER: Professor Dr Rasmus Hoffmann
TIME: Tuesdays, 10 a.m. to 12 a.m. (c.t.)
PLACE: Online via Zoom
For more information please write an email to courses.bagss(at)uni-bamberg.de
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Weekly Doctoral Colloquium (BAGSS Pillar 4)
Weekly sessions
ORGANISER: Professor Dr Ulrich Sieberer
TIME: Tuesdays, 4 p.m. to 6 p.m. (c.t.)
PLACE: Hybrid sessions via Zoom and room FG1/00.06 at BAGSS (Feldkirchenstra?e 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 A?mann
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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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 as well as to anyone else interested.
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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- Thursday, 10 October, 2024, 1.00 - 2.00 p.m.
Dr Jan-David Freund
Psychologist in the field of digitalisation, project coordination and organisational development Bavarian State Office for Health and Food Safety
From sensible toys to teacher safety Insights from the corporate world and why I changed into public administration
No registration required
Zoom Meeting:uni-bamberg.zoom-x.de/j/68933372556
Password: fm+^A4
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- Tuesday, 26 November, 2024, 1.00 - 2.00 p.m.
Dr Tobias Henson Rausch
Senior Scientific Officer, DLR Projekttr?ger
Enabling Research. Management of Federal Funding Programmes
No registration required
Zoom Meeting: uni-bamberg.zoom-x.de/j/69404245878
Password: fs@5^t
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- Tuesday, 10 December, 2024, 1.00 - 2.00 p.m.
Dr Margret Hornsteiner
Head of Communications and Dialogue, Bavarian Research Institute for Digital Transformation
Science Communication. Creating societal relevance and political impact through dialogue
No registration required
Zoom Meeting: uni-bamberg.zoom-x.de/j/69675877338
Password: $bR0Y0
COURSES AND WORKSHOPS ON METHODS AND RESEARCH DESIGN
WEEKLY COURSES ON METHODS AND RESEARCH DESIGN
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Introduction to Data Scraping
Weekly course
INSTRUCTOR: David Beck, Otto-Friedrich Universit?t Bamberg
DATE & TIME: Thursdays, 4 p.m. - 6 p.m.
PLACE: F21/03.50
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, Otto-Friedrich Universit?t Bamberg
DATE & TIME: Wednesdays, 10 a.m. - 12 p.m.
PLACE: F21/03.80
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 Course
INSTRUCTOR: Professor Dr Michael Gebel, Otto-Friedrich Universit?t Bamberg
DATE & TIME: Mondays, 8 a.m. - 12 p.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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Advanced regression analysis using Stata
Weekly course
INSTRUCTORS: Professor Dr Michael Gebel, Daniel Zeddel, Otto-Friedrich-Universit?t Bamberg
DATE & TIME: Mondays, 2 p.m. - 6 p.m.
PLACE: RZ/00.07
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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Methods in Epidemiology and Demography
Weekly course
INSTRUCTORS: Professor Dr Henriette Engelhardt-W?lfler, Otto-Friedrich Universit?t Bamberg
DATE & TIME: Mondays, 12 p.m. - 2 p.m.
PLACE: F21/03.03
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 Inference and Policy Evaluation
Weekly course
INSTRUCTORS: Professor Dr Guido Heineck, Otto-Friedrich Universit?t Bamberg
DATE & TIME: Thursdays, 2 p.m. - 4 p.m.
PLACE: 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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Advanced Econometrics
Weekly course
INSTRUCTOR: Michael Mühlbauer, Otto-Friedrich Universit?t Bamberg
DATE & TIME: Tuesdays, 2 p.m. - 4 p.m.
PLACE: FG1/00.08
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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Analysis of Panel Data
Weekly course
INSTRUCTOR: Michael Mühlbauer, Otto-Friedrich Universit?t Bamberg
DATE & TIME: Mondays, 2 p.m. - 4 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
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Modern Methods in Survey Statistics
Weekly course
INSTRUCTOR: University of Trier
DATE & TIME: Mondays, 2 a.m. - 6 p.m.
PLACE: FMA/01.20
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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VHB-Seminar: The R and RStudio Environment: Handling, Visualisation and Communication of Data in Science
Weekly course
INSTRUCTOR: Professor Dr Judith Volmer, Otto-Friedrich Universit?t Bamberg
PLACE: Online
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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You can find a list of further available courses here(89.1 KB)
WORKSHOPS ON METHODS AND RESEARCH DESIGN
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BAGSS & LifBi joint workshop
Basics of Agent-Based Modeling
Two day workshop
INSTRUCTOR: Assistant Professor Dr Daniel Mayerhoffer, University of Amsterdam
DATE & TIME: Monday, 19 May 2025, 09.00 a.m. to 05.00 p.m. (s.t.) & Friday, 23 May 2025, 09.00 a.m. to 01.00 p.m. (s.t.)
PLACE: BAGSS, Feldkirchenstra?e 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 14! Registration deadline: 08 October 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, 7-11 April 2025
DATE: Monday, 07 to Friday, 11 April 2025;
PLACE: Main courses will be conducted in-person at Feldkirchenstra?e 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. The registration phase ends at 04 February 2025.
For more information, visit the page of BAGSS Internal Methods Institute.
COURSES
Case Based Research Design
5-day Workshop (7-11 April 2025)
INSTRUCTOR: Professor Dr Derek Beach, Aarhus University
Course outline
This five-day course provides a hands-on introduction to case-based designs, enabling participants to use them in their own research. The course is designed to be relevant for participants from a range of different social science disciplines. A constant theme throughout the course will be on debating the strengths and limitations of different case-based methods, illustrating the types and scopes of inferences that are possible, and how they differ from what variance-based methods enable.
The course will first introduce the foundations of case-based designs in terms of taking cases as the analytical point of departure. The course will distinguish between comparative and within-case designs. Day 2 deals with concepts and theories in case-based designs. After discussing how concept structure is dealt with, we will explore different types of theoretical relationships that are assessed using case-based designs, including necessary and sufficiency, as well as theories of causal processes (aka mechanisms).
Day 3 unpacks different tools for comparative analysis, including more simple comparisons using tools such as Mill’s methods, and most-similar and most-different systems designs. Participants will also be introduced to the basics of Qualitative Comparative Analysis (QCA).
Day 4 deals with within-case analysis, focusing in particular on process-tracing methods. Using a published example, we will discuss how theories about causal processes can be developed and what elements they should include, as well as how process tracing works with empirical evidence.
Day 5 presents the most central case selection principles, including typicality, deviant cases, and theoretical likelihood (most- and least-likely cases). We will then discuss how cross-case comparisons and within-case tracing can be combined in practice.
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Machine Learning for Macroeconomic Modeling
5-day Workshop (7-11 April 2025)
INSTRUCTOR: Dr Tato Khundadze, The New School of Social Research
Course outline
This course aims to provide participants with an in-depth understanding of advanced modeling and control techniques applicable to economic systems. Through a combination of theoretical knowledge and practical case studies, students will explore Nonlinear Model Predictive Control (NMPC), machine learning, and dynamical systems identification. The course will also highlight the application of these concepts to urgent global challenges, including climate change and wealth disparities.
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Multilevel Modeling
5-day Workshop (7-11 April 2025)
INSTRUCTOR: Research Professor Levente Littvay, HUN-REN Centre for Social Sciences
Course outline
Multilevel data structures are all over the social sciences: observations within municipalities, cantons, districts, or countries. Students within schools. Patients within hospitals. Multiple observations taken from the same person or any other unit of analysis. In quantitative studies, relevant predictors appear on all these levels of analysis. But how do we deal with them?
The course is designed to provide scholars with a basic understanding of multilevel (a.k.a. Hierar-chical linear or mixed effects) regression models designed to solve these problems. Special attention is given to the translation of theoretical expectations into statistical models, the interpretation of results in multilevel analyses, and the general use and misuse of multilevel models in the social sciences. While the course is predominantly designed to give you the knowledge of multilevel regres-sion modeling, it does also arm you with the basic tools to run multilevel models in R. (I also have Stata code for most of the models presented thanks to a former teaching assistant, but I am not a Stata user so there you are on your own.) Applications will include models with continuous and limited dependent variables in hierarchical, longitudinal, and cross-classified nesting situations and, if time allows, multilevel structural equation models. The goal of the course is to offer a basic intro-duction and the foundation for participants to start using and critically assessing multilevel models and also have the ability to independently discover and master advanced multilevel statistical topics. Upon completion, the participants will have a basic conceptual understanding of multilevel modeling and its statistical foundations. Participants will be able to critically assess the appropriateness of such techniques in their own and other people’s research and conduct multilevel modeling them-selves to the highest academic standards.
Prerequisites
A solid foundation in linear regression. (Knowing what to click in SPSS and how to copy and paste the table does not constitute a solid foundation. Knowing the assumptions of regression models like homoskedasticity and no autocorrelation does.)
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The Statistics of Causal Inference
5-day Workshop (7-11 April 2025)
INSTRUCTOR: Professor Dr Elias Dinas, European University Institute
Course outline
The objective is to learn how statistical methods can help us to draw causal claims about phenomena of interest. Participants will be introduced into an authoritative framework of causal inference in social sciences, i.e. the potential outcomes framework. By the end of the course, students will be in position to:
1. critically read and evaluate statements about causal relationships based on some analysis of data;
2. apply a variety of design-based easy-to-implement methods that will help them draw causal inferences in their own research.
3. think about archival data under the logic of causal inference. Either explicitly or implicitly, the goal of most empirical research is to interpret causally the co-occurrence of interesting phenomena.
Addressing causality, however, has been notoriously difficult without the luxury of experimental data. This course will introduce you to methods that allow you to make convincing causal claims without working with experimental data. In the first part of the course, we will look at three such designs:
1. Difference-in-Differences estimation;
2. Instrumental Variables and;
3. Regression Discontinuity Design
For every method, the following structure will be employed: first, a running example will provide the motivation and intuition. We will then proceed with the formal identification derivation and finally we will focus on estimation strategies and robustness checks. For each method there will be a hands-on lab section, where we will apply these methods with real data.
We will not have the time to cover two topics, which I would love to talk about: attrition and bounds.
Do ask me about this towards the second part of the course
Derek Beach is
a professor of Political Science at Aarhus University, Denmark, where he does research on research methodology and European integration. He has authored articles, chapters, and books on research methodology, policy evaluation, international negotiations, referendums, and European integration, and co-authored the book Process-tracing Methods: Foundations and Guidelines (2019, 2nd edition, University of Michigan Press).
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Tato Khundadze is
a political economist currently working as a Teaching and Research Assistant at the New School for Social Research in New York City, where he is pursuing his PhD in Economics. Additionally, he holds the position of Associate Professor of Economics at the Georgian American University in Tbilisi, where he teaches intensive courses in statistical analysis. His research interests include development economics, trade policy and industrial policy.
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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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Elias Dinas is
a professor at the European University Institute and holds the Swiss Chair in Federalism, Democracy and International Governance. He holds a PhD in Political Science from the European University Institute (2010) and his research interests include the dynamics of political socialization, the downstream effects of institutional interventions and the legacy of authoritarian rule on the ideological predispositions of citizens in new democracies. He has also a keen interest in research methodology.
Coffee Breaks
Coffee and Snacks will be served at the BAGSS kitchen every day, from 07 to 11 April. Please feel free to serve yourselves!
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Welcome Dinner
Monday, 07.04.2025 at 6.00 p.m.
We are pleased to invite all participants to join us for a common Welcome Dinner on Monday, at 06 p.m. at Hofcafé (Austra?e 14, 96047 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
THE EUROPEAN SOCIAL SURVEY
Tuesday, 08.04.2025, 2 to 4 p.m. via Zoom and in FG1/00.06 (Stream)
The GESIS team (Leibniz Institute for Social Sciences) will offer an online introduction to the data of the European Social Survey (ESS) as part of the Internal Methods Institute 2025. The European Social Survey is an academically driven cross-national survey that has been conducted across Europe since its establishment in 2001. Every two years, face-to-face interviews are conducted with newly selected, cross-sectional sampes. The participants will be introduced to the content and the data structure of this very extensive survey. We will also broadcast the event in our seminar room FG1/00.06.
Zoom link: TBA
Password: TBA
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BAGSS Semester Colloquium
Interpretation of Statistical Analyses Using Quantities-of-Interest
Wednesday 09.04.2025 at 6 p.m.; Hybrid session via Zoom and at Feldkirchenstra?e 21, Room FG1/00.08 (BAGSS).
Invited Speaker: Professor Thomas Gschwend, PhD, University of Mannheim
Thomas Gschwend is Professor for Political Science, Quantitative Methods in the Social Sciences atthe School of Social Sciences and a project directorat the Mannheimer Zentrum für Europ?ische Sozialforschung. His substantive research focuses onelectoral behavior, public opinion and comparativepolitics.This lecture makes the case that social scientiss should take their model results more seriously by using them to strengthen the substantive implications of their research. Raw regression coefficients, particularly in non-linear models, offer only limited substantive insights at best.
Zoom link:https://uni-bamberg.zoom-x.de/j/63143486739
Password: 8+bFu2
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BAGSS Roundtable
Unofficial Biographies
Thursday 10.04.2025 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:
TBA
Moderation:
TBA
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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Have a look at the programme of the following institutions as well. To register for offers, please contact the respective institution independently.
- Centre for Higher Education Didactics (ZHD)
- Graduate Centre Trimberg Research Academy (TRAc)
- The Writing Centre
- University Health Management
- Beauftragte für die Gleichstellung von Frauen in Wissenschaft und Kunst
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