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We are currently accepting the following types of submissions:
DAAD GSSP Scholarship
The scholarships are available from 1 October 2025 for up to four years.
We welcome applications from candidates aiming to write their doctoral thesis at the Bamberg Graduate School of Social Sciences. The school supports scholarship holders through personal mentoring, workshops and support services.
The Bamberg Graduate School of Social Sciences is a multidisciplinary Graduate School funded by the Bavarian State. We seek to stimulate and guide cutting-edge doctoral research on some of the most crucial challenges modern knowledge-based societies are facing.
Specialised research agendas have been grouped into four thematic pillars:
PILLAR 1: Education, personal development and learning from early childhood to adulthood
PILLAR 2: Educational and social inequality across the entire life course
PILLAR 3: Changes in human capital, labour markets and demographic structures and their relation to social structures in modern societies
PILLAR 4: Governance, institutional change and political behaviour
// QUALIFICATION AND REQUIREMENTS:
Requirements
We invite applications by highly qualified graduates from the fields of Sociology, Psychology, Educational Science, Political Science, Labour and Educational Economics, Demography and Statistics. Candidates must hold a Master’s degree (or equivalent) in one of the aforementioned subjects or be very close to completion and should not have lived in Germany for more than 15 months by the start of the membership.
Successful applicants will be required to take up their residence in Bamberg, a city noted for its high quality of life and great conditions for research and study. DAAD Scholarships amount to a monthly stipend of 1,300 EUR, plus other allowances according to the DAAD guidelines.
The Graduate School is committed to diversity, equal opportunities and the compatibility of family and career.
For further information about the Bamberg Graduate School of Social Sciences, the application process and the required documents, please visit our website at
https://www.uni-bamberg.de/en/bagss/application/daad-scholarship/
The deadline for the submission of your application is Monday, 10 March 2025.
We are happy to announce the GIGA Training Programme for this winter term. Check below a list of all the courses available.
An Introduction to Critical Discourse Studies: Texts, Contexts and Power
Date and time: 23-24 October 2024, 9: 00 – 17:00 (23.10) and 9:00 – 14:00 (24.10)
Place: GIGA, in person
Register here
Qualitative Comparative Analysis (QCA): Performing Basic Analyses using R
Date and time: 28-29 October 2024, 10:00 – 17:00
Place: GIGA, in person
Register here
Introduction to Process Tracing Methods
Date and time: 16-17 December 2024, 10:00 – 17:00
Place: GIGA, in person
Register here
The registration deadline is Friday, 4 October. Please note that you will be informed only afterwards about successful registrations. If you have any related questions, you can contact Maren Wagner at maren.wagner@giga-hamburg.de
GIGA German Institute of Global and Area Studies
Neuer Jungfernstieg 21
20354 Hamburg
The BAGSS Grant Writing Stipend for Postdoctoral Researchers is awarded for twelve months with the option of a six-month extension, starting from 01 April 2025. In individual cases, the starting date may be up to three months after that if necessary. The stipend amounts to 2,500 EUR per month. In addition, grant recipients are provided with office space and necessary equipment at BAGSS.
During the initial twelve-month period, recipients are expected to develop an excellent project proposal and submit it to an external funding body, e.g. the German Research Foundation (DFG). The grant proposal must include funding for the applicant’s own position afterwards, e.g. via an Emmy Noether Junior Research Group (DFG), an ERC Starting Grant, or a Temporary Position for Principal Investigators (“Eigene Stelle”, DFG). The Stipend is automatically extended for six months if the proposal has been submitted to an external funding body within the initial funding period.
//REQUIREMENTS & QUALIFICATINS
The Bamberg Graduate School welcomes applications from postdoctoral researchers who hold a doctoral degree in the fields of Sociology, Psychology, Education, Political Science, Labour and Educational Economics and Demography. Qualified postdoctoral researchers of related subjects with a strong Social Science background are also encouraged to apply. We invite researchers whose research project fits into the research profile of at least one of our School’s four Pillars. Projects cutting across two (or more) Pillars are equally welcomed.
Specialised research agendas have been grouped into four thematic pillars:
PILLAR 1: Education, personal development and learning from early childhood to adulthood
PILLAR 2: Educational and social inequality across the entire life course
PILLAR 3: Changes in human capital, labour markets and demographic structures and their impact on social structures in modern societies
PILLAR 4: Governance, institutional change and political behaviour
A detailed list of topics that will be supervised by professors in our four pillars can be found here:
www.uni-bamberg.de/bagss/application/topics
The Graduate School is committed to diversity, equal opportunities and the compatibility of family and career within its statutory obligations.
For further information about the Bamberg Graduate School of Social Sciences, the application process and the required documents, please visit our website at
https://www.uni-bamberg.de/en/bagss/application/grant-writing-stipend-for-postdoctoral-researchers/
The deadline for the submission of your application is Friday, 1 November 2024.
ReMaT is an intensive, interactive workshop, providing an introduction to a number of key topics relating to research management including project management, grant acquisition, and science and technology related entrepreneurship. ReMaT is especially tailored to meet the needs of early-stage researchers especially from the 2nd year of PhD studies onwards, but is also suitable for others involved in research, or in directing research. ReMaT delivers hands-on practical training in an intensive, yet effective workshop form over two days. There is a strong emphasis on European networking in the way the workshop is delivered: we encourage participation from many different countries and disciplines.
Tutech Innovation which is organising the workshop was founded in 1992 as the technology transfer institute for the Hamburg University of Technology. TUTECH ACADEMY workshops on technology transfer and innovation and research management are designed to equip participants with practical skills for taking on these roles.
ReMaT – Research Management Training for Early-Stage Scientists on 14 & 15 November 2024 – online event
ReMaT is an intensive, interactive workshop, providing an introduction to a number of key topics relating to research management including project management, grant acquisition, and science and technology related entrepreneurship. ReMaT is especially tailored to meet the needs of early-stage researchers especially from the 2nd year of PhD studies onwards, but is also suitable for others involved in research, or in directing research. ReMaT delivers hands-on practical training in an intensive, yet effective workshop form over two days. There is a strong emphasis on European networking in the way the workshop is delivered: we encourage participation from many different countries and disciplines.
Tutech Innovation which is organising the workshop was founded in 1992 as the technology transfer institute for the Hamburg University of Technology.
TUTECH ACADEMY workshops on technology transfer and innovation and research management are designed to equip participants with practical skills for taking on these roles.
Die wissenschaftstheoretische Analyse ist eine Grundlage für die Beurteilung eigener und fremder Forschungsleistungen. Während jedoch bei der Lektüre eines wissenschaftlichen Aufsatzes oder Monographie die eingesetzten Methoden, wie z.B. ein Fragebogen zur Erhebung von Daten oder eine Regressionsanalyse zur Auswertung von Daten, zu dokumentieren sind, wird die zugrunde liegende wissenschaftstheoretische Position häufig nicht einmal erwähnt. Wer sich jedoch mit Begründungsansprüchen wissenschaftlicher Forschung und ihrer Methoden auseinandersetzen will, kommt um eine Beschäftigung mit eben diesen Positionen nicht herum. Insbesondere bei mixed-method-Studien werden zudem solche Expositionen auch von Gutachtern und Journal-Editoren zunehmend eingefordert.
Ziel des Kurses ist es daher, die Teilnehmer und Teilnehmerinnen mit den wesentlichen wissenschaftstheoretischen Strömungen und ihren für die Wissenschaft wesentlichen ontologischen und epistemologischen Positionen vertraut zu machen. Der Einstieg ins Thema erfolgt auf der Basis dreier Leitfragen im Rahmen eines „World Cafés“, die den Verlauf des Kurses strukturieren. Die Grundlagen der Wissenschaftstheorie werden von einem Dozenten vorgestellt und dienen einer gemeinsamen Diskussionsbasis für die verschiedenen Positionen. Anschließend werden die verschiedenen Strömungen der Wissenschaftstheorie und ihre wesentlichen Implikationen für die Forschungsmethoden und das Forschungsdesign durch die Teilnehmenden präsentiert, wobei jeweils Themenschwerpunkte gebildet werden. Die individuellen Präsentationen dienen dann als Grundlage für die anschließende gemeinsame Diskussion und ggf. thematische Erweiterung durch die Dozenten.
Eine wesentliche Zielsetzung des Kurses ist es, für die verschiedenen Strömungen der Wissenschaftstheorie zu sensibilisieren und grundlegende Kenntnisse über verschiedene wissenschaftstheoretische Begründungsstrategien zu vermitteln, um eine kritische Reflektion über die eigene wissenschaftliche Forschung zu ermöglichen. Obwohl der Schwerpunkt des Kurses auf der Diskussion philosophischer (wissenschaftstheoretischer) Positionen liegt, ist es ein weiteres Anliegen des Kurses, deren Bedeutung für die wissenschaftliche Praxis zu thematisieren und anhand praktischer Beispiele zu analysieren.
Für diesen Kurs ist eine 18- bis 20-seitige schriftliche Ausarbeitung, eine 30-minütige Präsentation sowie leitende Fragen für die anschließende Diskussion vorzubereiten, die von den Vortragenden moderiert wird.
Zeitnah nach der Anmeldefrist werden die Themen verteilt.
05. – 08. November 2024
Harnack-Haus Tagungsstätte der Max-Planck-Gesellschaft
Ihnestr. 16-20
14195 Berlin
Deutsch
Prof. Dr. Rolf Brühl,
Lehrstuhl für Unternehmensethik und Controlling, ESCP Business School Berlin,
rbruehl@escp.eu
Prof. Dr. Thomas Wrona,
Institut für Strategisches & Internationales Management, Technische Universität Hamburg,
thomas.wrona@tuhh.de
Klicken Sie hier für Informationen zu Gebühren, Zahlung und Anmeldung,
oder schreiben Sie uns eine E-Mail: prodok@vhbonline.org.,
This course provides an overview of research methods and theories in consumer behavior. The topics covered in this seminar should be of interest to doctoral students studying Business, Psychology, Organization Behavior, and Marketing.
The course has two major goals:
Students will read a set of core readings in order to gain knowledge of relevant theoretical foundations, methodological norms, and most recent findings. We will discuss papers published at top journals in consumer behavior, marketing, management, and psychology. One of the best ways for doctoral candidates to understand a research area is to critically review articles describing research in that area. The course will challenge students to adopt a critical stance when reading papers. This approach provides a deeper understanding of specific issues, a better appreciation of the research process, and training in research skills. During the discussion of the key articles on each topic, students will be challenged to review these articles. The class discussion will evaluate the articles and the reviews.
Students will learn to identify gaps in the literature or to apply a research problem to unexplored related phenomena.
Moreover, the second aim of this course is that students develop their own actionable research question and methodological plan. For this, they will be able to collect first data in the lab (BreLab) for their idea(s) (if physical course is possible), with the group and recruited students serving as participants in the respective experiments. If time-wise not possible, an online data collection will be done. Students will present their idea and potential results and give one another feedback on these ideas.
After completing this course, students will be able to define research questions in various domains of consumer behavior and in different empirical settings, they will know how to implement their research questions into an actionable experimental design, and they will be aware of potential problems and (dis)advantages in their research design.
25. – 27. September 2024 (Präsenz)
7. Oktober 2024 (Online)
Universität Bremen
WiWi2 F3290
Enrique-Schmidt-Str. 1
28359 Bremen
English
Prof. Dr. Kristina Klein
University of Bremen
Click for information on fees, payment and registration,
or email us: prodok@vhbonline.org.
Demand is an important quantity in many optimization problems such as revenue management and supply chain management. Demand usually depends on “supply” (price and availability of products, f. e.), which in turn is decided on in the optimization model. Hence, demand is endogenous to the optimization problem. Choice-based optimization (CBO) merges discrete choice models with math programs. Discrete choice models (DCM) have been applied by both practitioners and researchers for more than four decades in various fields. DCM describe the choice probabilities of individuals selecting an alternative from a set of available alternatives. CBO determines (i) the availability of the alternatives and/or (ii) the attributes of the alternatives, i.e., the decision variables determine the availability of alternatives and/or the shape of the attributes. We present CBO applications to location planning, supply chain management, assortment and revenue management.
Students will learn how to develop and use predictive models (discrete choice models) in the software R and how to introduce such models in mathematical models for decision-making (i.e., mixed integer programs) to consider demand as an auxiliary variable. The models will be implemented in a modeling environment (GAMS). Case studies will be used for practicing purposes.
Universität Hamburg
Fakultät für Betriebswirtschaft
Moorweidenstraße 18
EG, Raum 0005.1
20148 Hamburg
English
Univ.-Prof. Dr. habil. Knut Haase
Universität Hamburg
www.bwl.uni-hamburg.de/vw/personen/prof-knut-haase
Univ.-Prof. Dr. habil. Sven Müller
RWTH Aachen University
https://www.business-school.rwth-aachen.de/dozierende/prof-dr-sven-mueller/
Click for information on fees, payment and registration,
or email us: prodok@vhbonline.org.
Many empirical research projects in business and economics that use non-experimental data struggle with the proper identification of causal effects of independent variables (e.g., price, management decisions) on dependent variables (e.g., demand, firm performance). The reason is that the identification of a causal effect hinges on the untestable assumption that the error term of a model is uncorrelated with the independent variables. If this assumption is not met, a model is plagued by endogeneity.
The topic of endogeneity has received considerable attention, and it is probably the most frequently encountered troublemaker in a review process at an academic journal.
This course therefore has the goal of making students familiar with the problem of endogeneity and potential remedies. This implies that it will cover the opportunities and problems associated with traditional approaches (e.g., Instrumental Variable estimation, Matching, Difference-in-Difference) as well as more recent developments (e.g., Gaussian Copulas; Machine Learning and Causal Inference; Synthetic Control Methods; Directed Acyclical Graphs (DAG)). The course will also cover how the data structure (e.g., panel data) can be utilized to address the problem.
Because the literature on endogeneity is often quite technical, this course aims at providing an easily accessible approach to this topic. Special emphasis will also be given to understanding when endogeneity indeed poses a real problem as compared to settings in which endogeneity is less likely to be a real threat to the validity of the findings.
After completing this course, students will be able to define and describe endogeneity problems in different empirical settings, they will have a better understanding of whether and when causal identification is possible how to implement techniques that address endogeneity, and they will be aware of the (dis)advantages of different methods.
Date:
18.9.2024 online and 25.-27.9.2024 face-to-face
Online & University of Tübingen
Englisch
Prof. Dr. Dominik Papies
Universität Tübingen
Click for information on fees, payment and registration,
or email us: prodok@vhbonline.org.
Non-member: 650,00 Euro
VHB-member: 530,00 Euro
The University of Tübingen Guest House has a limited number of rooms available that can be booked here: https://uni-tuebingen.de/en/12231.
This course focuses on quantitative empirical accounting research, covering theoretical, methodological and technical aspects of this research program. It also introduces students to the concepts of Open Science. In terms of applications, it concentrates on financial and non-financial reporting issues but also touches on some managerial and auditing topics. After this course, participants should
Online: 03.09.24, 06.09.24, 10.09.24, 13.09.24, all slots 9am – noon.
Zoom: https://hu-berlin.zoom.us/j/69574538552
In person (FU Berlin): 18.09.24, 2pm – 20.09.24, noon
Online and in person
English
Prof. Dr. Joachim Gassen (Humboldt-Universität zu Berlin, TRR 266 „Accounting for Transparency“)
http://www.wiwi.hu-berlin.de/professuren/bwl/rwuwp/staff/gassen
gassen@wiwi.hu-berlin.de
Click for information on fees, payment and registration,
or email us: prodok@vhbonline.org.
Non-member: 610,00 Euro
VHB-member: 490,00 Euro