Author Archives: Simon Jebsen

GIGA Training Programm Winter Term 2023 – Course: Research Design and Strategy

Date and time: 1 Nov, 10 am – 5 pm and 2 Nov, 10 am – 4 pm
Place: GIGA, in person
Target group: Doctoral Researchers
Language: English

Description: This course will introduce the students to the main steps of research design in social sciences, from the formulation of the research question to case selection and choice of methods. It explores how to identify the empirical phenomenon of interest, how to do a systematic literature review, what makes for a good research question, how to elaborate testable hypotheses and advance theory, and ways to justify the choice of cases and methods. The course will draw on relevant literature, provide concrete examples, and offer room for discussion throughout its various sessions. On the second day, there will be time reserved for students to present and discuss their own research.

About the lecturer: Edalina Rodrigues Sanches is a Research Fellow at the Institute of Social Sciences, University of Lisbon, Portugal. Her research interests comprise democratization, popular protest, constituency service, political institutions, elections, political parties and party systems, with a focus on Africa.

*Participants need to register online by filling in the registration form that is available on our website.
Registration deadline: Thursday, 17 October 2023
Confirmations of successful registration will only be sent after the deadline has passed.
For questions, please contact Alejandra Calderon at alejandra.calderon@giga-hamburg.de

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

Information day held by the NCP Bioeconomy on the Workprogramme 2024 Cluster 6

On 10th October 2023 the German National Contact Point for Bioeconomy and Environment, in cooperation with the EU Office of Tutech Innovation and the Research Cluster Biobased Processes and Reactor Technologies (FSP BioProTec) at the Hamburg University of Technology, will inform potential applicants about funding opportunities for selected thematic areas of Cluster 6 “Food, Bioeconomy, Natural Resources, Agriculture and Environment” in Horizon Europe.

After an introduction to Horizon Europe and an overview of the rules of participation, the funding opportunities in Destination 3 and 4 in the work programme for Cluster 6 “Food, Bioeconomy, Natural Resources, Agriculture and Environment” as well as other funding opportunities in this thematic area will be presented.

More Information and registration

VHB ProDok: Experimental Research and Behavioral Decision Making (26 – 29 September 2023)

Various robust deviations from rational decision making have been reported such as loss aversion, probability weighting, status quo bias, overconfidence etc. Understanding those deviations leads to a more realistic modelling of the behavior of different economic actors and to an increased prediction success. In this course, participants will understand those and other important deviations from rationality as well as their theoretical explanations/modelling, e.g., prospect theory and mental accounting. Most theories have been developed implementing psychological and economic experiments. Whereas psychological experiments are mostly asking the respondents for hypothetical choices, real decisions with actual monetary payoffs are implemented in economic experiments. Half of the course will be concerned with a profound introduction to several deviations from rationality that have been reported with real decision makers, with the theoretical treatment of those deviations, as well as with a definition of experimental research and with the basic features of experiments. The other half of the course will analyze different selected papers (potentially including some planned projects by participants) and always addresses the match between research question and empirical method (mostly: type of experiment) to be used.

Date: 26. – 29. September 2023

Location:
Humboldt-Universität zu Berlin
Wirtschaftswissenschaftliche Fakultät
Spandauer Straße 1
10178 Berlin

Seminarraum 125

Course Language: English

Lecturer: Prof. Dr. Christian D. Schade, Humboldt-Universität zu Berlin

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

Registration Deadline: 3. September 2023

Content retrieved from: https://vhbonline.org/veranstaltungen/prodok/kurse-2023/2309ms07.

VHB ProDok: Philosophy of Science – Foundations and Implications for Research Designs and Research Methods (14-17 November 2023)

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 sowie 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 und dafür ist es notwendig, die Teilnehmenden per Email zu erreichen.

Datum: 14. – 17. November 2023

Ort:
Harnack-Haus Tagungsstätte der Max-Planck-Gesellschaft
Ihnestr. 16-20
14195 Berlin

Kurssprache: Deutsch

Referenten:
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

Anmeldefrist:
Klicken Sie hier für Informationen zu Gebühren, Zahlung und Anmeldung, oder schreiben Sie uns eine E-Mail: prodok@vhbonline.org.,

Anmeldefrist: 30. September 2023

Content retrieved from: https://vhbonline.org/veranstaltungen/prodok/kurse-2023/2311mue04.

MMG: Doctoral Research Fellowship

The Minerva Fast Track research group ‘Migration, Identity and Blackness in Europe’ situated at the Max Planck Institute for the Study of Religious and Ethnic Diversity and led by Dr. Johanna Lukate is currently inviting applications for the position of Research Fellow [Doctoral] (m/f/d). The position will be full-time for three years with a starting date of 1 September or earlier.

The successful doctoral research fellow will be joining the research group to carry out a computational social science research project at the intersections of African Studies and digital humanities to understand how public discourses about African migrants in Germany have changed over time. The best applicants have a strong interest in applying computational social research methods to studying social issues, in particular, migration and racialisation. Applicants must have demonstrated expertise in computational methods and should have advanced knowledge of R or Python. Applicants must hold a Master’s degree (M.A., MPhil, MSc or equivalent) in psychology, sociology, political science, linguistics, data science, or similar.

The full call is available here: https://www.mmg.mpg.de/1109193/mft-job-call-doctoral-fellowship?c=114585

Informal queries may be directed to Dr Johanna Lukate (lukate [@] mmg.mpg.de). For information on the institute and the research group, please consult www.mmg.mpg.de.

2 Starter Scholarships for Doctoral Candidates

The scholarships are available from 01 April 2024 for the duration of one year. 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 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.

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 Graduate School’s guidelines, Starter Scholarships amount to a monthly stipend of 1,468.00 EUR, plus other allowances. The Graduate School is committed to diversity, equal opportunities and the compatibility of family and career.

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

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/

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.