Category Archives: Quantitative Methods

Hamburg Business School: Doctoral study courses in winter semester 2018/19

The following doctoral study courses will be on offer at the Hamburg Business School in winter semester 2017/18:

  • HCHE Research Seminar and PhD Course (12.-13.11.2018)
    Patricia Born (Informationen)
  • Behavioral & Experimental Economics (4 Termine, Start 14.12.2018)
    Markus Nöth & Guido Voigt (Informationen)
  • Advanced Modelling and Optimization (Blockkurs 17.-21.12.2018)
    Malte Fliedner & Knut Haase (Informationen)
  • Recent Developments in Causal Inference (Blokkurs im Januar)
    Martin Spindler (Informationen)
  • Survey Research (4.-6.2.2019, Kick-off 5.11.2018)
    Karen Gedenk (Informationen)
  • Recent Developments in Audit Research and an Approach to getting Published (20.-22.2.2019)
    Nicole Ratzinger-Sakel (Informationen)

See also for further information on the doctoral studies program of the Hamburg Business School.

Call for Papers: Necessary Condition Analysis. Method and Applications (EURAM Conference 2019: “Exploring the Future of Management: Facts, Fashion and Fado”, June 26-28, Lisbon, Portugal)

Track 06_13 – Necessary Condition Analysis. Method and Applications
Necessary Condition Analysis is a novel and promising empirical research methodology that
can be applied in all disciplines. NCA understands cause-effect relations in terms of
“necessary but not sufficient”; this means that without the right level of the condition a certain
effect cannot occur. This is independent of other causes, thus the necessary condition can
be a bottleneck, critical factor, constraint, disqualifier, etc. In practice, the right level of
necessary condition must be put and kept in place to avoid guaranteed failure. Other causes
cannot compensate for this factor. By adding a different logic and data analysis approach,
NCA adds both rigor and relevance to theory, data analysis, and publications.

The aim of this track is to bring together researchers who are already applying the method
or interested in using it. NCA is a user-friendly method that requires no advanced
statistical or methodological knowledge beforehand. However, since NCA is a
rather newmethodology, several questions remain. This track will provide the opportunity for
methodology focused discussions and exchange of experience. We will focus on the
foundations of the method, its application in different disciplines, and its advantages in
comparison to other methods (e.g., regression-based methods, QCA). Therewith, the track
will not only help to advance ongoing research projects but also serves as a multidisciplinary
forum to explore the latest research, applications, and developments surrounding the use of

We encourage submissions of advanced research projects (full paper, competitive sessions)
as well as work in progress (extended abstract, paper and idea development sessions).
Papers are welcome from any field as long as they use NCA either as core method or a
complement to other methods.

For more information on NCA please visit the NCA website ( or read NCA’s
core paper (free access): Dul, J. (2016) Necessary Condition Analysis (NCA): Logic and
methodology of “necessary but not sufficient” causality, Organizational Research Methods,
19(1), 10-52.

Sven Hauff, Helmut Schmidt University;
Jan Dul, Rotterdam School of Management;
Florence Allard-Poesi, Université Paris-Est;
Nicole Richter, University of Southern Denmark

GIGA Information Centre Workshops 2018

The GIGA Information Centre and a cooperating Partner offer four 1-hour workshops. Please find some more information below. Please note that the number of participants is limited.

  1. Satisfy your grant requirements – Learn how to write a data management plan! (Birte Pfeiffer, 16/10/2018, 10-11 am)

Funders like the German Research Foundation and EU Horizon 2020 require you to add a data management paragraph or a complete data management plan in a funding proposal. This interactive workshop aims at providing you with guidelines that help you fulfil these requirements in order to submit successive project proposals. The workshop will help you answering some of the questions that are commonly addressed in a data management plan: What kind of data will you be collecting? Where will you store your data? With whom and how will you share your data? How will others be able to understand the data? How will you preserve your data for the long term?

You will be more likely to receive future funding when you know how to write and follow through a well-structured data management plan.

[register (open until 8/10/2018)]

  1. Don’t you fear the scary Excel stories when compiling your research data? – What are your software requirements for data entry? (Birte Pfeiffer, 13/11/2018, 10-11 am)

Excel has a well-documented history of silently corrupting data in unexpected ways. Moreover, a couple of functions needed for effective entering, managing and analysing research data is missing. This interactive workshop aims at assessing and discussing your needs regarding software tools for the collection of research data. The identified needs will be systematized and will be incorporated in a funding proposal.

The identified needs regarding data entry software will be considered in a project proposal of the GIGA Information Centre and cooperating partners in order to develop a data collection tool for GIGA researchers and the social sciences community.

[register (open until 30/10/2018)]

  1. Quantitative Data Sharing with SowiDataNet (Birte Pfeiffer, 27/11/2018, 10-11 am)

In this workshop GIGA’s new repository SowiDataNet provided by GESIS for sharing quantitative research data will be introduced. SowiDataNet is a research data repository for the social sciences and economics that enables researchers to easily and securely document, publish and share (quantitative) primary and secondary data. Submitted research data will be curated by GIGA’s Research Data Service to ensure high formal quality of your published research data.

Participants will have a basic understanding of the required workflows if they want to share their quantitative data in SowiDataNet.

[register (open until 13/11/2018)]

  1. Flexible Strategien für eine forschungsfreundliche Archivierung und Nachnutzung von qualitativen Daten (Susanne Kretzer, Qualiservice Bremen, 11.12.2018, 10-11 Uhr)

[Registrierung (offen bis 27.11.2018)]

Graduate School der Universität Hamburg – Promotionsstudiengang der Fakultät für Wirtschafts- und Sozialwissenschaften – Kursangebot im Wintersemester 2018/19 (Stand: 11.09.2018)

Dozent/in Titel der Lehrveranstaltung Termine FB LVS LP
Beblo, Miriam/
Marcus, Jan
Empiricial Research Methods in Labour Economics Mo., 16:30 – 18:00 Uhr,

14-täglich, ab 22.10.18,

plus zweitägiger Block, 17./18.01.19

Raum 0029 (VMP 5)

2 4
Dresing, Thorsten
(Audiotranskription Marburg)
MAXQDA Complete und qualitative Inhaltsanalyse Do., 29.11.18, 09:00 – 15:30 Uhr

Fr., 30.11.18, 09:00 – 15:00 Uhr

Raum steht noch nicht fest

Extern 1
Gundlach, Erich Applied Growth Econometrics with Stata Mo., 07.01.19, 09:30 – 17:15 Uhr

Fr., 11.01.19, 09:30 – 15:30 Uhr

Raum steht noch nicht fest

VWL 1 2
Hofius, Maren/
Wiener, Antje
Qualitative Methoden und Konzepte der Sozialwissenschaft Termine stehen noch nicht fest


2 4
Jacob, Juliane

(Zentrum für nachhaltiges Forschungsdaten­management, UHH)

Nachhaltiges Forschungsdatenmanagement Eintägiger Kurs, 7. KW 2019, Dienstag oder Mittwoch

Raum steht noch nicht fest

Jakobeit, Cord/
Meyer, Jörg
Research Seminar in International Relations – Research Design and Qualitative Approaches Termine stehen noch nicht fest


1 2


Dozent/in Titel der Lehrveranstaltung Termine FB LVS LP
Adloff, Frank/
Neckel, Sighard
Gesellschaftsanalysen. Prozesse – Krisen – Transformationen Mi., 10 ­– 12 Uhr (ab 17.10.2018)

Raum 1083 (VMP 5)

2 4
Aykut, Stefan/
Engels, Anita/
Rödder, Simone
Neues aus der sozialwissenschaftlichen Klimaforschung Do., 09:15 – 12:15 Uhr

(18.10.18, 25.10.18, 15.11.18, 29.11.18, 13.12.18, 10.01.19, 24.01.19, 07.02.19)

Raum B537 (VMP 9)

SozÖk / SoWi /    SoWi


2 4
Bassen, Alexander/
Busch, Timo/
Schiemann, Frank
Sustainable Finance and Management Mo., 12.11. 18, 10:00 – 18:00 Uhr

Di., 13.11.18, 10:00 – 18:00 Uhr

Rentzelstraße 7

SozÖk/ SozÖk
2 4
Krause, Melanie Ph.D.-Seminar in Empirical and Theoretical Research Economics Donnerstags, 12:15 – 13:15 Uhr

Raum 0029 (VMP 5) 

VWL 1 2
Mühlheußer, Gerd Topics in Behavioral Contract Theory Mi., 21.11.18, 10:30 – 18:00 Uhr

Mi., 28.11.18, 10:30 – 18:00 Uhr

Raum B537 (VMP 9)

VWL 1 2
Rastetter, Daniela Standards guter Arbeit: Verhalten in Organisationen, Aus- und Weiterbildung, Managing Diversity, Geschlecht und Organisation Mo., 05.11.18 10:00 – 17:00 Uhr

Di., 06.11.18, 10:00 – 17:00 Uhr

Raum 1083 (VMP 5)

SozÖk 1 2
Schramm, Florian Akteure der Personalpolitik Fr., 28.09.18, 11:00 – 18:00 Uhr

Sa., 29.09.18, 09:00 – 15:00 Uhr

Raum A411 (VMP 9)

SozÖk 1 2
Vogel, Dominik PUNO & Friends: Paper Development Workshop Termine stehen noch nicht fest SozÖk 1 2


Dozent/in Titel der Lehrveranstaltung Termine FB LVS LP
Rauchmann, Sabine

(Fachbibliothek Wirtschafts­wissenschaften, UHH)

Literaturrecherche für Doktorandinnen und Doktoranden Do., 15.11.18, 09:00- 17:00 Uhr

Fr., 16.11.18, 09:00 – 16.00 Uhr

Schulungsraum der Fachbibliothek Wirtschaftswissenschaften
(VMP 5, Aufgang A, 1. Stock)

Rosert, Elvira Academic Writing: How to Write a Lot and How to Write Well Mi., 23.01.19, 09:00 – 17:00 Uhr

Do., 24.01.19. 09:00 – 14:00 Uhr

Raum A215 (VMP 9)

SoWi 1 2

FB = Fachbereich

LP = Leistungspunkte

LVS = Lehrveranstaltungsstunden


Anmeldungen zu den Kursen sind möglich über „Geventis“ ( in folgenden Zeiträumen:

a) 10.09.18 (13 Uhr) bis 20.09.18 (13 Uhr) für folgende Kurse:

      Akteure der Personalpolitik (Schramm)

b) 10.09.18 (13 Uhr) bis 04.10.18 (13 Uhr) für folgende Kurse:

      Empirical Research Methods in Labour Economics (Beblo/Marcus)

      Qualitative Methoden und Konzepte der Sozialwissenschaft (Wiener/Hofius)

      Research Seminar in International Relations – Research Design and Qualitative Approaches (Jakobeit/Meyer)

      Gesellschaftsanalysen. Prozesse – Krisen – Transformationen (Adloff/Neckel)

      Neues aus der sozialwissenschaftlichen Klimaforschung (Aykut/Engels/Rödder)

      Ph.D. Seminar in Empirical and Theoretical Research Economics (Krause)

      PUNO & Friends: Paper Development Workshop (D. Vogel)

c) 10.09.18 (13 Uhr) bis 18.10.18 (13 Uhr) für folgende Kurse:

      Sustainable Finance and Management (Bassen/Busch/Schiemann)

      Standards guter Arbeit: Verhalten in Organisationen, Aus- und Weiterbildung, Managing Diversity, Geschlecht und Organisation (Rastetter)

      Literaturrecherche für Doktorandinnen und Doktoranden (Rauchmann)


d) 10.09.18 (13 Uhr) bis 01.11.18 (13 Uhr) für folgende Kurse:

      MAXQDA Complete und qualitative Inhaltsanalyse (Dresing)

      Topics in Behavioral Contract Theory (Mühlheußer)

e) 10.09.18 (13 Uhr) bis 17.12.18 (13 Uhr) für folgende Kurse:

      Applied Growth Econometrics with Stata (Gundlach)

      Nachhaltiges Forschungdatenmanagement (Jacob)

      Academic Writing: How to Write a Lot and How to Write Well (Rosert)


GIGA Winter Term Programme: 16 October – 29 November 2018

GIGA German Institute of Global and Area Studies
Neuer Jungfernstieg 21
20354 Hamburg

The following seminars are open to doctoral students and postdoctoral researchers at the GIGA and its partner institutions. Please note that other external participants are asked to pay a small course fee.

16 October Global Approach to CAS Series I: Comparative Area Studies: What they are and where they come from Patrick Köllner, GIGA
18 October Introduction to Zotero Birte Pfeiffer, GIGA
25 – 26 October Research Design and Strategy Melanie Kolbe, Graduate Institue Geneva
1 – 2 November Mixed Methods Research Erin Jenne, Central European University
5 – 6 November Introduction to Quantitative Approaches to Data Collection and Analysis Philippe Blanchard, University of Warwick
13 November Global Approach to CAS Series II: Comparing Across World Regions: Assets and Pitfalls Christian von Soest, GIGA
22 – 23 November Introduction to Qualitative Approaches to Data Collection and Analysis Dorothee Bohle, European University Institute
29 November Global Approach to CAS Series III: Promises and Potential Problems of Comparative Analysis André Bank, GIGA

Information on Registration

Participants need to register online by filling in the registration form that is available on the website of the respective event.

Questions regarding the course programme or registration should be addressed to Nina Sökefeld.

Registration deadline: Tuesday, 2 October 2018

University of Hamburg – Behavioral & Experimental Economics (PhD Course)

(The course takes place on four Fridays. Sessions are scheduled in both the winter term and the summer term, such that participants have sufficient time to develop and run their experiments)

14th December 2018, 18th January 2019, 22nd February, 7th June

10:00 – 16:00 h

Universität Hamburg (more details follow)

Course Instructor: Prof. Dr. Markus Nöth and Prof. Dr. Guido Voigt (both UHH)

Course Value: 2 SWS or 5 LP

Teaching language: English

Registration:, (First come, first-served)

The main goal of this course is to introduce the design and implementation of both laboratory and field experiments in various fields of Economics and Business Administration. PhD students who have some experience with or who consider to set up an experiment are welcome to participate in this course.

First, we will identify different research questions for a laboratory or a field experiment. We start with discussing critical theory assumptions. We then show how research hypotheses can be inferred from behavioral models and how these hypotheses may be tested in lab or field studies.

Second, participants will critically discuss an experimental paper (either provided by us or self-selected) that is instructive for their own research field.

Third, participants will develop an experimental design and conduct a pilot experiment
that is run in class. We introduce basic statistics along with a discussion how they relate
to the experimental design.

Participants have the option to take a research ethics training ( that becomes increasingly important to conduct research projects with colleagues from the Unites States. All students will learn the basic requirements of a human subjects committee.

Some topics:

  • Identify a suitable research question for an experiment
  • Ethical and scientific standards: historical and scientific reasons, consent requirements,
    human subjects committee, special requirements (children, elderly people, inmates, …), data collection and evaluation
  • Individual and group experiments in the laboratory
  • Surveys and internet experiments
  • Field experiments in cooperation with a company

Schedule (tentative)

Day Topics Suggested Readings
1st SessionIntroduction to the field

Game theoretic models, critical assumptions, Behavioral Models and
Research Hypothesis

Laboratory Experiments
Katok 2012
2nd SessionPresentation and discussion of assigned papers.

Statistics & Design Choices

IRB, Field-Experiments
Baum 2006,
Sheskin 2011
3rd SessionPresentation of research (Problem Description, Research Hypothesis, Experimental design)

Visit of Experimentallabor (z-Tree, Eye-Tracking, etc.)
4th SessionPresentation of pilot studies (Note: Pilot studies need to be scheduled independently by participants)

Basic background in microeconomics, game theory and statistics.

Student evaluation:

  • Critical discussion of an experimental paper, experiment design presentation (extended summary on economic question, relevant literature, hypotheses, design: presentation with max. 10 slides or max. five pages extended abstract).
  • Running a pilot experiment is optional, but encouraged.

Recommended Texts:
Statistical analysis
Baum, C. F. 2006. An introduction to modern econometrics using Stata. Stata press
Camerer, C, 2003, Behavioral Game Theory, Princeton University Press.
Kagel, J. and A. Roth, 1995, Handbook of Experimental Economics, Princeton University
Sheskin, D. J. 2011. Handbook of parametric and nonparametric statistical procedures.
5. ed. CRC Press.
How to design laboratory experiments
Katok, E. 2012. Using laboratory experiments to build better operations management
models. Foundations and trends in technology, information and operations management 5(1) 1–88.

Other material (e.g., papers to be presented etc.) will be distributed once we know
who participates

VHB-ProDok: Kurs „Endogeneity” – 19.-22.9.2018 in Tübingen

Vom 19. bis 22. September 2018 führt Professor Dominik Papies (Universität Tübingen) erneut im ProDok-Angebot einen Kurs zum Thema „ENDOGENEITY” durch. Der Kurs wurde im letzten Jahr sehr gut evaluiert.

Interessenten können sich noch bis 18. AUGUST 2018 über das elektronische Anmeldeformular oder per Email an anmelden. Unter dem Link finden Sie außerdem die Informationen zur Anmeldegebühr.

Alle Informationen zu VHB-ProDok finden Sie unter Für Rückfragen steht Ihnen unsere Projektkoordinatorin Kathrin Schöps ( von der Geschäftsstelle des VHB gerne zur Verfügung.

Hier erhalten Sie den Gesamtüberblick über unser Kursangebot VHB-ProDok.


Many empirical research projects that use non-experimental data are struggling with the proper identification of causal effects of independent variables (e.g., price, management decisions) on dependent variables (e.g., demand). 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) as well as more recent developments (e.g., Gaussian Copulas). 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 know how to implement techniques that address endogeneity, and they will be aware of the (dis)advantages of different methods. 

Date of event:

19. – 22. September 2018


University of Tübingen

School of Business and Economics

Nauklerstr. 47

72074 Tübingen


Prof. Dr. Dominik Papies (Universität Tübingen)


To get an overview of the amount of the participation fee and to register for the course, please use this link:

You can also send an email to prodok(at)vhbonline(dot)org.

Hamburger R-Kurs, 13.-17.08.2018, Helmut-Schmidt-Universität

Institution: Helmut-Schmidt-University Hamburg

Lecturer: Prof. Dr. Torben Kuhlenkasper

Date: 13.-17.08.2018

Place: Helmut-Schmidt-Universität, Holstenhofweg 85, 22043 Hamburg, Building H01, Seminarraum 0301

Language of instruction: German

Registration: Please mail to Erik Haustein


In der Woche vom 13.-17.08.2018 wird Herr Prof. Dr. Torben Kuhlenkasper, Professor für quantitative Methoden an der Hochschule Pforzheim, an der HSU wieder einen Blockkurs zur Einführung in die Statistik-Software R geben. Dabei handelt es sich um eine von Statistikern, aber zunehmend auch von Volkswirten verwendete Statistiksoftware, die kostenlos verwendet werden kann und extrem leistungsfähig ist.

Prof. Kuhlenkasper hat den Kurs in den letzten Jahren bereits in bewährter Manier an unserer Fakultät gehalten. Der Kurs wird ganztägig im Gebäude H01, Seminarraum 0301 stattfinden. Teilnehmende werden gebeten, ihren eigenen Laptop mitzubringen. Weitere Informationen zum Kurs finden Sie hier.

Interessierte wenden sich bitte bis zum 08.08.2018 per Mail bei Erik Haustein (

Workshop: Gute wissenschaftliche Praxis & reproduzierbare Forschung mit STATA (12.07.2018)

Nationale und internationale Forschungsförderer, aber auch Fachzeitschriften in den Wirtschaftswissenschaften, verlangen immer häufiger, dass die in Projekten und für Veröffentlichungen erzeugten Daten und Analysen öffentlich bereitgestellt werden. Dies soll einerseits der Überprüfbarkeit von publizierten Forschungsergebnissen dienen und andererseits eine eventuelle Nachnutzung der generierten Daten ermöglichen.

Unser Workshop richtet sich vorrangig an Master-Studierende und Promovierende, die am Anfang ihrer Dissertation stehen, mit quantitativen Daten der Wirtschaftsforschung arbeiten und STATA als Software nutzen.

Im Workshop vermitteln wir Informationen und konkrete Beispiele zur Aufbereitung von Daten und Datensätzen, wie sie den Anforderungen von renommierten Fachzeitschriften oder Drittmittelgebern entsprechen. Wir vermitteln einen Überblick über entsprechende Richtlinien von Forschungsförderern, Fachzeitschriften und Fachgesellschaften. Die Vortragsblöcke werden von praktischen Übungen begleitet. Dabei erarbeiten die Teilnehmenden gemeinsam und anhand praktischer Beispiele, wie Datensätze und -analysen beschrieben und dokumentiert sein sollten, um die Reproduzierbarkeit der eigenen Forschung sicherzustellen.

Weitere Informationen zur Veranstaltung:
Hinweis: Der Workshop ist keine Einführung in STATA und keine Lehrveranstaltung in quantitativen Methoden. Vielmehr dient der Tag einer Einführung, wie die Replizierbarkeit empirischer Forschung verbessert und somit den zunehmenden Anforderungen an Forschungsintegrität in den Wirtschaftswissenschaften gerecht werden kann.

Datum der Veranstaltung:
Donnerstag, 12. Juli 2018

09.30 Uhr bis ca. 17.30 Uhr

ZBW – Leibniz Informationszentrum Wirtschaft, Neuer Jungfernstieg 21, 20354 Hamburg

Ein eigenes Notebook mit installierter STATA-Software sowie Grundkenntnisse im Umgang mit STATA und Statistik/Ökonometrie

Promovierende und Master-Studierende aus den Wirtschaftswissenschaften

Die Anmeldung (es sind noch einige Restplätze verfügbar) erfolgt über die Webseite der ZBW

7th GESIS Summer School in Survey Methodology, August 2018

The program of the 7th GESIS Summer School in Survey Methodology is online and registration is open. The Summer School 2018 will be held from August 2 to 24 at GESIS in Cologne, Germany.

15 courses are scheduled, among them 5 short courses and 10 one-week courses. New to the program are courses on “Pretesting Survey Questions”, “Applied Multiple Imputation”, and “Open Science and FAIR Data”. The courses “Mixed-Mode and Mixed-Device Surveys“ and “Web Survey Design” return to the Summer School program after a break.

Here is an overview of the courses on offer this year:

Short courses (August 02 – 03):

  • Pretesting Survey Questions (Meitinger/Lenzner)
  • Introduction to Data Analysis Using Mplus (Blümke/Lechner/ Danner)
  • Research Designs and Causal Inference (Eifler/Leitgöb)
  • Introduction to Data Analysis Using Stata (Schunck/Pforr)

Week 1 (August 06 – 10):

  • Introduction to Survey Design (Lugtig/ Struminskaya)
  • Introduction to Structural Equation Modeling: Confirmatory Factor Analysis with Mplus (Reinecke/Kessler)
  • Introduction to Data Analysis Using R (Kolb/ Murray-Waters)
  • Applied Multiple Imputation (Geißler/Heisig)

Week 2 (August 13 – 17):

  • Questionnaire Design (Fuchs/Metzler)
  • Mixed-Mode and Mixed-Device Surveys (Toepoel/de Leeuw/Klausch)
  • Web Survey Design (Couper/Schaurer)

Week 3 (August 20 – 24):

  • Meta-Analysis in Social Research and Survey Methodology (Weiß/Daikeler)
  • Sampling, Weighting, and Estimation (Eckman)
  • Design and Implementation of Longitudinal Surveys (Al Baghal/Cernat)
  • Open Science and Open Data (Netscher/Perry/Schwickerath)

Thanks to our cooperation with the Graduate School of Economic and Social Sciences, CDSS of the University of Mannheim, participants can obtain up to 4 ECTS credit points per one-week course.

In addition to courses, we have prepared a number of plenary and social events including evening talks by experts in Survey Methodology, weekly welcome receptions as well as cultural and social excursions.

There is no registration deadline, but in order to secure a place in the course(s) of your choice and to book affordable accommodation, we strongly recommend that you register as soon as possible.

Scholarships by the German Academic Exchange Service (DAAD) via CDSS as well as the European Survey Research Association (ESRA) are available to Summer School participants.

You will find more information about the scholarships available on our website.