2 DAAD GSSP Scholarships for Doctoral Candidates

The scholarships are available from 01 April 2024. DAAD scholarships for international candidates are available for up to four years. We welcome applications from graduates 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 State of Bavaria. We seek to stimulate and guide cutting-edge doctoral research on some of the most crucial challenges modern knowledge-based societies face.

We are inviting applications from 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. According to the DAAD guidelines, DAAD scholarships amount to a monthly stipend of 1,200 EUR, plus insurance and other allowances. The Graduate School is committed to diversity, equal opportunities and the compatibility of family and career within its statutory obligations.

For more information, visit: https://www.uni-bamberg.de/en/bagss/application/daad-scholarship/

Kursangebot Uni HH/WISO Graduate School Promotionsstudiengang Sommersemester 2023

Kursangebot im Promotionsstudiengang – Sommersemester 2023

Stand: 02.06.23

Dozent/in Titel der Lehrveranstaltung Termine FB LVS LP
Methoden
Asbach, Olaf Methoden zur Erforschung politischen und sozialen Denkens Fr., 28.04.23, 15:30-17:00

Fr. 26.05.23, 15:00-18:00

Fr. 02.06.23, 15:00-18:00

Fr. 09.06.23, 15:00-18:00

Onlinekurs

SoWi 1 2
Aykut, Stefan/
Engels, Anita/
Rödder, Simone
Neues aus der sozialwissenschaftlichen Klimaforschung Do., 20.04.23, 09:00-12:00, Raum 2.16 (Welckerstr. 8)

Do., 27.04.23, 09:00-12:00, Raum 1012 (Grindelberg 5)

Do., 11.05.23, 09:00-12:00, Raum 2.16 (Welckerstr. 8)

Do., 25.05.23, 09:00-12:00, Raum 1012 (Grindelberg 5)

Do., 08.06.23, 09:00-12:00, Raum 1012 (Grindelberg 5)

Do., 22.06.23, 09:00-12:00, Raum 1012 (Grindelberg 5)

Do., 06.07.23, 09:00-12:00, Raum 1012 (Grindelberg 5)

Präsenzkurs

SozÖk/
SoWi/
SoWi
2 4
Aykut, Stefan/
Müller, Franziska/
Wiener, Antje
Building Global Governance from Below: Societal Agency in a Global World Mi., 12.04.23, 10:30-12:30 (digital)

Fr., 28.04.23, 14:15-18:00, Raum 030 (MBA 60)

Fr., 12.05.23, 14:15-18:00, Raum 030 (MBA 60)

Fr., 30.06.23, 14:15-18:00, Raum 030 (MBA 60)

Präsenzkurs

SozÖk/
SoWi/
SoWi
2 4
Brüggemann, Michael/ Kleinen-von Königslöw, Katharina/                      Lischka, Juliane/           Loosen, Wiebke/              Möller, Judith New Frontiers in Journalism, Media, and Communication Research Do., 14:00-16:00

14täglich, ab 13.04.23

Raum A 215 (VMP 9)

Veranstaltungsform: Mischform

SoWi/
SoWi/

SoWi/

SoWi/ Sowi

1 2
Chen, Benjamin

(University of Hong Kong)

Quantitative Analysis of Text Di., 27.06.23, 11:00-16:00, Raum 3016, VMP 5

Mi., 28.06.23, 10:00-15:00, Raum 3016, VMP 5

Do., 29.06.23, 10:00-15:00, Raum A 215, VMP 9

Fr., 30.06.23, 09:00-14:00, Raum A 215, VMP 9

Präsenzkurs

Extern 2 4
Frey, Jonas

(University of Oxford)

 

oTree Do., 13.07.23, 09:00-19:00

Fr., 14.07.23, 09:00-18:00

Raum A 215 (VMP 9)

Präsenzkurs

Extern 1 2
Jacob, Juliane

(Zentrum für nachhaltiges Forschungsdaten-management)

Einführung in das Forschungsdatenmanagement Mi., 24.05.23, 10:00-12:00 Uhr

Raum A 510 (VMP 9)

Präsenzkurs

Extern
Kellermeier, Olaf/

Oberg, Achim

Netzwerkanalyse und Python Fr., 14:15-17:45

14täglich, ab 14.04.23

Raum B 537 (VMP 9)

Präsenzkurs

SoWi/
SoWi
2 4
Maasen, Sabine Doing STS Research: Cases & Concepts Do., 20.04.23, 10:00-13:00

Do., 11.05.23, 10:00-13:00

Do., 08.06.23, 10:00-13:00

Do., 15.06.23, 10:00-13:00

Raum A 215 (VMP 9)

Präsenzkurs

SozÖk 1 2
Maennig, Wolfgang Policy evaluation: theory and empiricism Do., 10:15-11:45

wöchentlich

Raum 2096 (VMP 5, Zugang über Raum 2094)

Präsenzkurs

VWL 2 4

 

 

Dozent/in Titel der Lehrveranstaltung Termine FB LVS LP
Theorien
Adloff, Frank/
Neckel, Sighard
Gesellschaftsanalysen. Prozesse – Krisen – Transformationen Mi., 10:00-12:00

wöchentlich

Gorch-Fock-Wall 3, Raum 1021

Präsenz- und Hybridkurs

SozÖk/
SoWi
2 4
Bassen, Alexander/                    Lopatta, Kerstin Empirical Research in Finance and                 Accounting Mo., 08:30-10:30

wöchentlich

Raum 106 (Rentzelstraße 7)

Präsenz- und Hybridkurs

SozÖk 2 4
Bauer, Michael/

Posch, Olaf/

Wilms, Ole

Topics in Macro-Finance Do., 13:00-15:00

14täglich, ab 13.04.

Raum 3016 (VMP 5)

Präsenz- und Hybridkurs

VWL/   VWL/      VWL 1 2
Gerber, Anke PhD Seminar                                                         GRK Collective Decision-Making Do., 16:00-17:00

wöchentlich

Raum 0079 (VMP 5)

Präsenz- und Hybridkurs

VWL 1 2

 

 

Dozent/in Titel der Lehrveranstaltung Termine FB LVS LP
Manderscheid, Katharina Urban Future Making, Agency and Experimenting Di., 11.04.23, 16:00-18:00

Di., 25.04.23, 17:00-19:00

Do., 25.05.23, 17:00-19:00

Di., 06.06.23, 17:00-19:00

Di., 20.06.23, 17:00-19:00

Campus Tower Hafencity, Versmannstr. 3, 1. OG., Projektraum

Präsenzkurs

SozÖk 1 2
Vogel, Dominik PUNO & Friends Mi., 12.04.23, 14:00-17:00 (s.t.)

Mi., 03.05.23, 14:00-17:00 (s.t.)

Mi., 14.06.23, 14:00-17:00 (s.t.)

Raum B 230 (VMP 9)

Präsenzkurs

SozÖk 1 2
Vogel, Rick Advanced Topics, Theories and Methods of Public Management 27.09.23, 16-19 Uhr

28.-29.09.23, 9-17 Uhr

Bergen (Norwegen)

Präsenzkurs

SozÖk 2 4
Wilms, Ole Ph.D. Seminar in Empirical and Theoretical Economics Do., 12:15-13:00

wöchentlich

Raum 0079 (VMP 5)

Präsenzkurs

VWL 1 2

 

 

Dozent/in Titel der Lehrveranstaltung Termine FB LVS LP
Schlüsselkompetenzen  
Drupp, Moritz/

Lange, Andreas/

Perino, Grischa

 

Advances in Environmental Economics Mo., 12:00-13:00

wöchentlich, ab 24.04.23

Raum A 215 (VMP 9)

Mi., 12:15-13:45

wöchentlich, ab 03.05.23

Raum B 537 (VMP 9)

Fr., 28.04.23, 09:00-18:00, Raum S 30 (VMP 9)

Fr., 07.07.23, 09:00-18:00, Raum A 215 (VMP 9)

Präsenzkurs

VWL/   VWL/

SozÖk

2 4
Maasen, Sabine/           Sutter, Barbara

 

Dissertation – exzellent und relevant! Transfer eigener Forschungsarbeit

 

Fr., 21.04., 10:00-12:00, Raum A 315 (VMP 9)

Fr., 09.06., 09:00-17:00, Raum 1083 (VMP 5)

Fr., 30.06., 09:00-17:00, Raum 1083 (VMP 5)

Präsenzkurs

SozÖk/
SozÖk
1 2
Oppenheim, Kimberly (Sprachenzentrum UHH) Academic Writing Workshop for PhD      Candidates Di., 19.09.23, 10:00-16:00, Raum 2045 (VMP 5)

Mi., 20.09.23, 10:00-16:00, Raum 2045 (VMP 5

Präsenzkurs

Extern 1

 

FB = Fachbereich

LP = Leistungspunkte

LVS = Lehrveranstaltungsstunde

 

 

Anmeldungen

Anmeldungen zu den Kursen sind möglich über „Geventis“ (https://www.geventis.uni-hamburg.de/login) in folgenden Zeiträumen:

 

  1. a) 16.02.23 (13 Uhr) bis 20.04.23 (17 Uhr) für folgende Kurse:
  • Methoden zur Erforschung politischen und sozialen Denkens (Asbach)
  • Building Global Governance from Below: Societal Agency in a Global World (Aykut/Müller/Wiener)
  • New Frontiers in Journalism, Media, and Communication Research (Brüggemann et al.)
  • Netzwerkanalyse und Python (Kellermeier/Oberg)
  • Policy evaluation: theory and empiricism (Maennig)
  • Prozesse – Krisen – Transformationen (Adloff/Neckel)
  • Empirical Research in Finance and Accounting (Bassen/Lopatta)
  • Topics in Macro-Finance (Bauer/Posch/Wilms)
  • PhD Seminar GRK CDM (Gerber)
  • Urban Future Making, Agency and Experimenting (Manderscheid)
  • PUNO & Friends (D. Vogel)
  • D. Seminar in Empirical and Theoretical Economics (Wilms)

 

  1. b) 16.02.23 (13 Uhr) bis 20.04.23 (17 Uhr) für folgende Kurse:
  • Neues aus der sozialwissenschaftliche Klimaforschung (Aykut/Engels/Rödder)
  • Doing STS Research: Cases & Concepts (Maasen)
  • Advances in Environmental Economics (Drupp/Lange/Perino)
  • Dissertation – exzellent und relevant! Transfer eigener Forschungsarbeit (Maasen/Sutter)
  1. c) 16.02.23 (13 Uhr) bis 11.05.23 (13 Uhr) für folgende Kurse:
  • Einführung in das Forschungsdatenmanagement (Jacob)
  • Advanced Topics, Theories and Methods of Public Management (R. Vogel)

 

  1. d) 22.05.23 (13 Uhr) bis 20.06.23 (13 Uhr) für folgenden Kurs:
  • Quantitative Analysis of Text (Chen)

  1. e) 22.05.23 (13 Uhr) bis 04.07.23 (13 Uhr) für folgenden Kurs:
  • oTree (Frey)

 

  1. f) 22.05.23 (13 Uhr) bis 27.07.23 (13 Uhr) für folgenden Kurs:
  • Academic Writing (Oppenheim)

 

 

 

Anmerkungen

  • In Geventis finden Sie auch Beschreibungen zu den Inhalten der einzelnen Kurse.
  • Klicken Sie dazu in Geventis bitte in der linken Spalte auf „Veranstaltungsverzeichnis.“
  • In der blauen Box in der rechten Spalte wählen Sie beim „Zeitraum“ dann bitte das „SoSe 23“ aus.
  • Eine Übersicht über die von der WiSo-Graduate School angebotenen Kurse finden Sie, wenn Sie unter „Suchbegriff“ Folgendes eingeben: „WiSo-“
  • Wenn Sie sich für einen Kurs anmelden möchten, bitte diesen in Geventis anklicken, dann runterscrollen und den blau markierten Schriftzug „Anmeldung vom 16.02.23… bis …“ anklicken.

 

 

 

17th International Research Workshop – Methods for PhD (27 August – 1 September 2023)

17th International Research Workshop – Methods for PhD
27 August – 1 September 2023
Akademie Sankelmark, Flensburg (Germany)
http://www.phd-network.eu/irws/programme/

PROGRAMME

PARALLEL MORNING SESSION 1 (28 – 30 August 2023)

PARALLEL AFTERNOON SESSION 2 (28 – 30 August 2023)

 

 

PARALLEL SESSION 3 (1 September 2022)

WORKSHOP COMMITTEE:

  • Dr Wenzel Matiaske, Helmut-Schmidt-University
  • Dr Simon Jebsen, University of Southern Denmark
  • Dr Heiko Stüber, University of Applied Labour Studies

FEES & CREDIT POINTS

559 Euro (with accommodation and meals)

It is possible to get a certificate on five credit points (according to the European Credit Transfer System).

WORKSHOP VENUE

The workshop will take place at the Akademie Sankelmark, Akademieweg 6, in Oeversee (near Flensburg), Germany.

CONTACT & REGISTRATION

Don’t hesitate to contact the workshop committee (irwsnetwork@gmail.com) for any questions.

Please register for the workshop here or on the workshop website.

ORGANIZERS

  • Helmut-Schmidt-University/University of the FAF Hamburg, Faculty of Economics and Social Sciences
  • Akademie Sankelmark im Deutschen Grenzverein e.V.

SUPPORTERS

  • Europa-Universität Flensburg
  • University of Hamburg, Faculty of Economics and Social Sciences
  • University of Hamburg, School of Business
  • Leuphana University Lüneburg, Faculty of Economics

Quantitative Text Analytics

Institution: see Organisers & Supporters

Programme of study: International Research Workshop

Lecturer: Assoc. Prof. Dr Fabian Hattke (University of Bergen)

Date: see Workshop Programme

Max. number of participants: 20

Credit Points: 5 CP for participating in the whole IRWS

Language of instruction: English

Contents: This course provides a basic introduction to the field of quantitative text analytics
and natural language processing (NLP). It offers a theoretical introduction and hands-on
exercises to explore the potential utility of different approaches to textual data (e.g., closed vs.
open vocabulary text mining, sentiment analysis, topic detection, and data visualization). The
course teaches students to extract and process text from documents and analyse the data through quantitative methods.

Software Installations: The course requires no coding or programming skills or prior
experience with NLP tools. If students want to participate in the practical exercises /actively
use their own datasets, they shall install the following software tools on their personal laptops
prior to the course.

Recommended literature:

Eichstaedt, J. C., Kern, M. L., Yaden, D. B., Schwartz, H. A., Giorgi, S., Park, G., … & Ungar, L. H. (2021). Closed-and open-vocabulary approaches to text analysis: A review, quantitative comparison, and recommendations. Psychological Methods, 26(4), 398-427.

Grimmer, J., & Stewart, B. M. (2013). Text as data: The promise and pitfalls of automatic content analysis methods for political texts. Political Analysis, 21(3), 267-297.

Hickman, L., Thapa, S., Tay, L., Cao, M., & Srinivasan, P. (2022). Text preprocessing for text mining in organizational research: Review and recommendations. Organizational Research Methods, 25(1), 114-146.

Indurkhya, N., & Damerau, F. J. (Eds.). (2010). Handbook of Natural Language Processing
(Vol. 2). CRC Press Wilkerson, J., & Casas, A. (2017). Large-scale computerized text analysis in political science: Opportunities and challenges. Annual Review of Political Science, 20, 529-544.

You have to register for the International Research Workshop to participate in this course.

Multi-level Modelling with R

Institution: see Organisers & Supporters

Programme of study: International Research Workshop

Lecturer: Dr Daniel Lüdecke (UKE Hamburg)

Date: see Workshop Programme

Max. number of participants: 20

Credit Points: 5 CP for participating in the whole IRWS

Language of instruction: English

Contents:  The course teaches how to fit multilevel regression models with the statistical programming language R. First, simple (generalized) linear regression models are introduced to show important basic principles of modelling, like simple regression, interaction terms, non-linear relationships between predictors and outcome (polynomial and spline terms). Later, the application of these principles in a multilevel framework is demonstrated. Furthermore, the graphical representation of complex mixed models is covered, which helps communicate complicated models even for a broad audience less familiar with such techniques. Successful participation requires basic knowledge of regression modelling techniques. Students are encouraged to bring their own laptops with the free software R (www.r-project.org/) and RStudio (www.rstudio.com/) installed. All source code to run the examples is provided in preparation for the course.

Requirements: Knowledge of classic regression modelling (familiarity with terms like dependent and independent variables, linear and logistic regression, estimate, …)

Recommended readings:

  • Harrison, X. A., Donaldson, L., Correa-Cano, M. E., Evans, J., Fisher, D. N., Goodwin, C. E. D., … Inger, R. (2018). A brief introduction to mixed-effects modelling and multi-model inference in ecology. PeerJ, 6, e4794. https://doi.org/10.7717/peerj.4794
  • Bolker, B. M., Brooks, M. E., Clark, C. J., Geange, S. W., Poulsen, J. R., Stevens, M. H. H., & White, J.-S. S. (2009). Generalized linear mixed models: a practical guide for ecology and evolution. Trends in Ecology & Evolution, 24(3), 127–135. https://doi.org/10.1016/j.tree.2008.10.008

Required R packages:

  • Modelling: lme4, glmmTMB, GLMMadaptive
  • Visualization: ggeffects, sjPlot, see
  • Summaries and Statistics: parameters, effectsize
  • Model Quality: performance
  • Data preparation: sjmisc, dplyr, tidyr

You must register for the International Research Workshop to participate in this course.

Data Analysis with R

Institution: see Organisers & Supporters

Programme of study: International Research Workshop

Lecturer: Dr Marco Lehmann (Oviva AG)

Date: see Workshop Programme

Max. number of participants: 20

Credit Points: 5 CP for participating in the whole IRWS

Language of instruction: English

Contents: The course introduces the programming language R used for statistical analyses. The beginning of each lecture comes with a demonstration of programming and statistical functions that will be elaborated on in the course of the study. The students will then practice with many statistical examples. In addition to statistical functions, the course will introduce the definition of R as a programming language and its syntax rules. Students will further learn to use R’s scripting capabilities. Successful participation requires basic knowledge of descriptive and inferential statistics. The students are encouraged to bring their own laptops with the free software R (www.r-project.org/) and RStudio (www.rstudio.com/) installed.

A requirement for students: Basic descriptive and inferential statistics knowledge is recommended.

Recommended literature and pre-readings:

  • Please read Chapter 1 in Lehmann, M. (2022). Complete Data Analysis Using R. Your Applied Manual. SAGE Publications Ltd.

You have to register for the International Research Workshop to participate in this course.

HSU Hamburg: Automatische Textanalyse (25.05.2023)

Kursbeschreibung:

Digitalisierung und Vernetzung haben große Mengen unstrukturierter Textdaten hervorgebracht, die auch von der Organisations- und Personalforschung genutzt werden können. Soziale Medien, Texte über Unternehmen (z.B. Presseartikel), von Unternehmen (z.B. Geschäftsberichte oder Stellenausschreibungen) sowie Texte, die innerhalb von Unternehmen entstehen (z.B. im Social Intranet) bieten zahlreiche Möglichkeiten für die Forschung. Um jedoch mit den großen Datenmengen angemessen arbeiten zu können, bedarf es Methoden des Text Minings, die auf Basis von Algorithmen automatisch Muster in großen, unstrukturierten Texten und Textsammlungen erkennen und relevante Informationen extrahieren.

Der Kurs führt in das Thema Text Mining ein, indem er unterschiedliche Verfahren und deren Anwendungsgebiete darstellt und den typischen Verlauf solcher Forschungsprojekte aufzeigt.

Datum:

25.05.2023, ganztägig

Ort:

Helmut-Schmidt Universität / Universität der Bundeswehr Hamburg

Holstenhofweg 85, 22043 Hamburg

Gebäude M1, Mensaraum 001 (Erdgeschoss)

Dozent:

Dr. Heiko Hoßfeld

University of Labor, Frankfurt/M.

Kurssprache:

Deutsch

Registrierung:

Wenn Sie sich für diesen Kurs anmelden möchten, schicken Sie bitte eine Email an meisterc@hsu-hh.de

VHB ProDok Kurs

Marketing Strategy Performance: Theory, Models, and Empirical Applications

Against the background of increasing pressure from the capital market and major corporate trends such as digitization, corporate social responsibility and corporate political activism, marketing managers are more and more than ever forced to demonstrate the performance and value relevance of their decisions for various stakeholders. Marketing scholars have responded to this development and produced numerous articles that relate marketing decisions (e.g., new product introductions, major price changes, investing in digital sales channels, partnering with social-media influencers) with the creation of market-based assets (e.g., customer satisfaction), product-market performance (e.g., market share), accounting performance (e.g., return on assets), and financial-market performance (e.g., stock returns). The course provides an overview of this literature, both from a conceptual/model-based perspective and from an empirical point of view. After having attended the course, students should be able to:

  • Understand central concepts of marketing strategy performance research and be able to establish links between these concepts;
  • Understand the basics of market response modeling and recognize the relevance of model specification for the validity of empirical estimation results;
  • Understand, categorize, and criticize high-quality (“A+”) articles within the research field;
  • Know key data analysis methods within the research field including their scope of application as well as their limitations and conduct first own analyses using standard software (R);
  • Develop relevant and interesting research questions with a potential for a high-quality publication.

Date:

July 10-13, 2023

Location:

Fritz Thyssen Stiftung, Apostelnkloster 13-15, 50672 Köln

Language:

English

Lecturer:

Registration:

Click for information on fees, payment and registration,

or email us: prodok@vhbonline.org.

 

Registration Deadline: June 11th, 2023

VHB ProDok Kurs

Gender, Diversity, and Inclusion Research

The course aims to introduce students to the leading concepts and current discussions in gender, diversity, and inclusion research with a particular focus on those that are shaped by and relevant to the contemporary societal changes, developments, and global challenges. The course is structured in two blocks. In the first block (in June, online) students will be introduced to relevant concepts, theories, management practices, and ongoing debates in this field of study. Based on this and students’ preparation during the summer months, students will present their insights and (if applicable) their research ideas in the second block (in September, in person in Berlin).

Upon successful completion of the course, students will:

  • Acquire knowledge of past and current issues addressed in gender, diversity, and inclusion (GDI) studies from varying research paradigms;
  • Develop an understanding of how GDI research can address societal changes, developments, and challenges;
  • Be familiar with the latest evidence-based knowledge on how individuals, teams/groups, structure/context, and organizational policies/practices influence individual inclusion-exclusion experiences and behaviors in organizations;
  • Advance their reflective and critical thinking skills in analyzing the role of organizational practices for GDI at the workplace;

Date:

June 12-13, 2023, 10am – 5pm: online (Zoom)
September 25-26, 2023, 10am – 5pm: Berlin (Harnack-Haus, Berlin-Dahlem, Ihnestr. 16-20)

Location:

Online / Berlin

Course Language:

German or English (depending on participants)

Lecturer:

Registration:

Click for information on fees, payment and registration,
or email us: prodok@vhbonline.org.

Participation fee:

Non-member: 610,00 Euro
VHB-member: 490,00 Euro

Registration Deadline: 14. Mai 2023

VHB ProDok Kurs

Advanced Topics in Asset Pricing and Capital Market Research

Starting from a solid theoretical foundation, this course provides students with an understanding of important empirical methods and their application in asset pricing. It covers both the classical approaches based on Fama and MacBeth (1973) and Black, Jensen and Scholes (1972) – which are still widely used in current research – and GMM-based estimation methods. Furthermore, it shows how machine learning approaches can be meaningfully incorporated into modern asset pricing.

The course intends to enable students to plan and carry out empirical research in asset pricing on their own and prepares for an empirical PhD thesis in this area of finance.

Date:

03. – 06. Juli 2023

Location:

MLP Campus
Alte Heerstraße 40
69168 Wiesloch

Language:

English

Lecturers:

Prof. Dr. Joachim Grammig, University of Tübingen

Prof. Dr. Erik Theissen, University of Mannheim

Dr. Jantje Sönksen, University of Tübingen

 

Click for information on fees, payment and registration,
or email us: prodok@vhbonline.org.

Registration Deadline: 4. Juni 2023