Author Archives: sfietze

CUNEF Universidad (Madrid, Spain): Tenure-track Faculty Position in Management (Assistant Professor)

CUNEF Universidad is seeking an outstanding candidate to fill a tenure-track faculty position in Management at the Assistant Professor level. The position will start in September 2022.

Successful candidates will be expected to teach at both undergraduate and post-graduate levels and publish their research in leading academic journals in the field of Management. Applicants should have completed a PhD in the field of Management, or be scheduled to do so, before being appointed.

Located in Madrid, CUNEF was established in 1973 by the Spanish Banking Association with the objective to educate future financial and business leaders for an inclusive global society, and to promote intellectual rigour and critical thinking.

CUNEF Universidad offers a dynamic, international, and research-oriented environment, and provides excellent research facilities, including data, access to research collaborations with the business sector, and funding for research-related activities. The remuneration package is highly competitive.

More information about CUNEF Universidad is available at: https://www.cunef.edu/

To apply for this post, please send your applications, including a cover letter, curriculum vitae, job market paper, and three reference letters to Kremena Slavova by September, 30th 2021.

Online interviews with shortlisted candidates will be held in October 2021.

Call for Applications: Herbstforum-Promotionswerkstatt 2021 des WSI

Das WSI – Wirtschafts- und Sozialwissenschaftliches Institut der Hans-Böckler-Stiftung veranstaltet am 09.-10. November 2021 eine Promotionswerkstatt zum Thema “Gesellschaftliche Polarisierungen und die Suche nach Solidarität“.

Nach all den Monaten voller Online-Formate und verschobener oder ausgefallener Nachwuchskonferenzen wollen wir Promovierenden einen Raum bieten, sich auszutauschen: Die Veranstaltung zielt darauf, einen Diskussionsraum für Forschungsvorhaben zu eröffnen, Einblicke in den Wissenschaftsbetrieb zu geben und am nächsten Tag gemeinsam das „WSI-Herbstforum 2021: Solidarität in der Krise“ zu besuchen. Neben einer Keynote durch Prof. Dr. Bettina Kohlrausch, Wissenschaftliche Direktorin des WSI, der Vorstellung von Promotionsarbeiten und einem Promotionsprojekt-Speednetworking steht deshalb auch ein kurzer Workshop auf dem Programm, wie man sich gut durch das Dickicht an Fallstricken wissenschaftlicher Konferenzen schlägt.

Wann? 09. November 2021 ab 14 Uhr – 10. November 2021 ca. 17 Uhr
Wo? Berlin
Wie? Vorrangig in Präsenz, sofern es die Pandemielage erlaubt

Interessierte Promovierende bewerben sich bis zum 15. September 2021 mit einem kurzen Abstract an herbstforum-werkstatt@boeckler.de

Weitere Informationen finden Sie im Call: https://www.boeckler.de/pdf/wsi_herbstforum_call_promotionswerkstatt_2021.pdf

Bei Fragen wenden Sie sich gerne an Magdalena Polloczek (magdalena-polloczek@boeckler.de / 0211-77 78 333)

15th International Research Workshop – Methods for PhD – 5-10 September 2021: Registration Open Now!

PROGRAMME
PARALLEL MORNING SESSION 1 (6 – 8 September 2021)

  • Data Analysis with Stata
    Tobias Gramlich, Hesse State Statistical Office
  • Qualitative Research Methods
    Dr. Fabian Hattke, University of Hamburg
  • Grounded Theory
    Dr. Gilberto Rescher, University of Hamburg
  • Writing your Literature Review
    Dr. Sylvia Rohlfer, CUNEF University

PARALLEL AFTERNOON SESSION 2 (6 – 8 September 2021)

  • Data Analysis with R
    Dr. Marco Lehmann, UKE Hamburg
  • Case Study Research
    Dr. Kamil Marcinkiewicz, University of Oldenbourg
  • Questionnaire Design
    Dr. Daniel Schnitzlein, Leibniz University Hannover
  • Qualitative Comparative Analysis (QCA)
    Dr. Jonas Buche, Leibniz University Hannover

PARALLEL SESSION 3 (9 September 2021)

  • Data Visualization
    Dr. Daniel Schnitzlein Leibniz University Hannover
  • Multi-level Modelling with R
    Dr. Daniel Lüdecke, UKE Hamburg
  • Academic English Writing
    Dr. Jonathan Mole, Europa-Universität Flensburg
  • Analysing Panel Data with Stata
    Dr. Timo Friedel Mitze, University of Southern Denmark

WORKSHOP COMMITTEE
Dr. Wenzel Matiaske, Helmut-Schmidt-University
Dr. Simon Fietze, University of Southern Denmark
Dr. Heiko Stüber, Institute for Employment Research

FEES & CREDIT POINTS
499 Euro (with accommodation and meals)
It is possible to get a certificate on 5 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. The health, safety, and well-being of our lectures, the staff at the Akademie and the participants are our top priorities. All necessary measures are taken to ensure everyone stays healthy. Further, we will continue to monitor the COVID-19 situation and switch to an online workshop when necessary.

CONTACT & REGISTRATION
For any questions, don’t hesitate to contact the workshop committee (irwsnetwork@gmail.com).

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
Institute for Employment Research (IAB), The Research Institute of the Federal Employment Agency in Nuremberg
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

Data Visualization

Institution: see Organisers & Supporters

Programme of study: International Research Workshop

Lecturer: Daniel Schnitzlein (Leibniz University Hannover & Inside Statistics)

Date: see Workshop Programme

Max. number of participants: 20

Credit Points: 5 CP for participating in the whole IRWS

Language of instruction: English

Contents: Results of scientific research are often (and increasingly) complex and hard to understand for a non-scientific audience. However, at the same time, the transfer of results from academic research to an outside-academia recipient, for example, politics, private foundations or private firms providing research funding, but also the interested public, gets more and more important. Probably the most important skill in this context is the ability to create good visualization of your main (quantitative data-based) results.

Today, data are everyday companions in almost all scientific and professional fields. The graphical representation of data is both an elementary step in the analysis process and an important component in communicating the results. The course Data Visualization trains this ability and leads you away from the standard diagrams of common office/statistics packages to clear and concise representations with the help of many practice-oriented examples. The course consists of 50% lecture and 50% hands-on session.

Requirement of students: Basic knowledge of empirical (quantitative) social and economic research is beneficial, but not strictly necessary. The methods trained in this course are applicable to all visualization tasks independent of the applied software package. Visualization examples will be based mainly on R. Code examples will be provided within the lecture. A selection of examples will also be available in Excel and Python.

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

Qualitative Research Methods

Institution: see Organisers & Supporters

Programme of study: International Research Workshop

Lecturer: Dr. Fabian Hattke (Universität 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 purpose of this course is to familiarize participants with the basic characteristics of qualitative research. The course introduces methodological and practical aspects of different forms of qualitative research like case studies, discourse analyses, interviews, observations, and qualitative meta-syntheses. The course covers a variety of issues, including the philosophy of science, research designs, theory building, and sampling strategies. It also discusses practical challenges like the development of research questions, the use of different coding approaches, technical tools, and ethical questions.

Recommended literature and pre-readings:

  • Adler, P. S., Forbes, L. C., & Willmott, H. (2007). Critical management studies. Academy of Management Annals, 1(1), 119-179.
  • Alvesson, M., & Karreman, D. (2000). Varieties of discourse: On the study of organizations through discourse analysis. Human Relations, 53(9), 1125-1149.
  • Corbin, J., & Strauss, A. (2014). Basics of qualitative research: Techniques and procedures for developing grounded theory. Sage publications.
  • Eisenhardt, K. M. (1989). Building theories from case study research. Academy of Management Review, 14(4), 532-550.
  • Flick, U., von Kardoff, E., & Steinke, I. (Eds.). (2004). A companion to qualitative research. Sage.
  • Hoon, C. (2013). Meta-synthesis of qualitative case studies: An approach to theory building. Organizational Research Methods, 16(4), 522-556.
  • Mayring, P. (2004). Qualitative content analysis. A companion to qualitative research. Forum: Qualitative Social Research, 1, 159-176.
  • Sandelowski, M., & Barroso, J. (2006). Handbook for synthesizing qualitative research. Springer Publishing.
  • Wodak, R., & Meyer, M. (Eds.). (2015). Methods of critical discourse studies. Sage.
  • Yin, R. K. (2017). Case study research and applications: Design and methods. Sage publications.

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

Grounded Theory

Institution: see Organisers & Supporters

Programme of study: International Research Workshop

Lecturer: Dr. Gilberto Rescher (University of 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 purpose of this workshop is to offer a comprehensive introduction to Grounded Theory, considering its use in manifold kinds of fields and contexts of study and the feasibility of combining it with diverse research techniques (mainly qualitative and ethnographic ones). The workshop is as much oriented to “beginners” interested in learning about the basic epistemological perspective of Grounded Theory and its practice, as to participants that already possess deeper knowledge about Grounded Theory or even have employed this methodology in research and wish to discuss specific aspects or questions that arose in research practice. Correspondingly, the workshop will be adjusted to participants’ needs.

Hence, we will discuss basic concepts and procedures like research design, data collection, coding, categorizing, writing memos, theoretical sampling and theoretical saturation. Then exercises based on examples, ideally, those attributed by participants will be employed to clarify these concepts by putting them into practice. Therefore, participants with concrete research projects (be it planned or already put in practice) are invited to share their ideas, design and material, with the aim to (further) develop research practices among the group. If you are interested in presenting examples, please contact Gilberto Rescher in English or German (gilberto.rescher@uni-hamburg.de). Apart from this, the lecturer will stress upon his own research experiences to show how he actually uses Grounded Theory as an important kind of guideline in a broader methodological setting.

In addition to your registration, please answer the following questions (English or German):

  • What is your current status (e.g. PhD student?)
  • What is the focus of your interest in Grounded Theory?
  • What sort of content and what feedback do you expect?

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

Analysing Panel Data with Stata

Institution: see Organisers & Supporters

Programme of study: International Research Workshop

Lecturer: Timo Friedel Mitze (University of Southern Denmark)

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 one-day workshop is organized as a (basic!) introduction to the use of panel data in the different fields of business and social sciences. It is not meant as an expert course in advanced panel data modelling. Participants should take this into account before enrolling for the course.

Panel data (sometimes also referred to as longitudinal data) can be best described as the combination of cross-sectional and time-series information for individuals, firms, regions, countries etc. The main goal of the workshop is thus to provide participants with insights into why and when applied researchers can benefit from working with panel data. The course gives an overview of the different types of micro and macro models that are available for panel data estimation and shows how to properly estimate these models with the help of the statistical software package STATA. Examples for models covered are pooled OLS (POLS), random and fixed effects type models, REM and FEM, respectively, Difference-in-Difference estimation and panel event studies. On the fly, the workshop will show participants how STATA organizes panel data for the effective use of the above-described models. Building on these basics, a brief outlook on more advanced panel data estimation techniques will be given.

Course Tools: Please bring your laptop computer. STATA can be installed at the beginning of the IRWS. Licences will be provided. Datasets and STATA ado-files will be provided ahead of the course and should be installed on the participants’ computers. A list of introductory readings will be provided to registered participants ahead of the course.

Exemplary Readings: Baltagi, B. Econometric Analysis of Panel Data. 3rd or higher edition, Wiley.

Writing Your Literature Review

Institution: see Organisers & Supporters

Programme of study: International Research Workshop

Lecturer: Sylvia Rohlfer (CUNEF University)

Date: see Workshop Programme

Max. number of participants: 20

Credit Points: 5 CP for participating in the whole IRWS

Language of instruction: English

Contents: Regardless of discipline and however original a research project is, the literature review is a key part of a thesis or article. However, writing a literature review is the most daunting part of writing. Doctoral students often comment that the literature seems (and often is) massive. Hence, it might be helpful to be as systematic as possible when completing this task.

In this course, you will get practical insights and advice on how to effectively write a literature review. This will include tips, tricks and tools to improve your reading and sorting of the references, synthesizing the literature, summarizing existing debates and providing advice on how to present reviews effectively. We will also consider your writing habits. The sessions will be practical and require active involvement by students who will work in groups and get focused feedback on individual projects.

There are no pre-readings for the course, but participants will be required to complete smaller tasks outside the allotted workshop hours. Prior to the seminar (on or before the 28th of August) participants should send an extended abstract of their research project (two pages max. and in English/German/Spanish) to srohlfer@cunef.edu.

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

ReMaT – Research management training for early-stage researchers

A ReMaT workshop – Research management online training for early-stage researchers – will take place on 21st and 22nd October 2021. The workshop is designed for early-stage researchers in engineering and natural sciences, particularly PhD candidates from the 2nd year onwards. The idea of European networking is very much embedded in the concept, and we encourage participation from many different countries at the workshop.

ReMaT is an interactive, intensive workshop providing an introduction to research management. It involves two international trainers and is held in English. The modules of the workshop cover exploitation of knowledge and entrepreneurship, acquisition of grants, intellectual property rights and the management of interdisciplinary projects. They are delivered in such a way that it challenges participants to consider different perspectives on how they might use their PhD education in a variety of career paths, and convince others to hire them.

More information and registration

TUTECH INNOVATION GMBH which is organising the workshop was founded in 1992 as the technology transfer institute for the Hamburg University of Technology. We are offering services regarding participation in EU-funded programmes especially for publicly funded universities and SMEs.

Data Analysis with Stata

Institution: see Organisers & Supporters

Programme of study: International Research Workshop

Lecturer: Tobias Gramlich, Hesse State Statistical Office

Date: see Workshop Programme

Max. number of participants: 20

Credit Points: 5 CP for participating in the whole IRWS

Language of instruction: English

Contents: Stata is a statistical program package widely used (not only) in the social and economic sciences; it is used for data management, statistical graphics and analysis of quantitative data. Statistical concepts will not be part of the course, so participants should have some very basic knowledge of statistics. The course should enable participants to prepare their data for analysis, perform adequate analysis using a statistical computer program and document these tasks to keep them reproducible.

For Beginners with no or very little Stata knowledge!

Course topics cover:

  • “What You Type Is What You Get”: Basic Stata Command syntax
  • Getting (and Understanding) Help within Stata: Stata Built-in Help System
  • Basic Data Management: Load and Save Stata Datasets, Generate and Manipulate Variables, Describe and Label Data and Variables, Perform Basic uni- and bivariate Analyses, Change the Structure of your Data
  • Basic Stata Graphics: Scatterplot, Histogram, Bar Chart
  • Working with “Do-” and “Log-” Files

A requirement of students: Statistical concepts will not be part of the course, so participants should have some very basic knowledge of statistics.

Recommended literature and pre-readings: None.

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