Category Archives: IRWS

International Research Workshop

Spatial Data Analysis

Institution: see Organisers & Supporters

Programme of study: International Research Workshop

Lecturer: Prof. Dr. Timo Friedel Mitze, University of Southern Denmark

Date: Monday, 10/09/18 – Wednesday, 12/09/18 (14.30–18.00 h)

Max. number of participants: 20

Credit Points: 5 CP for participating in the whole IRWS

Language of instruction: English

Contents:

‘Researchers are increasingly aware of the fact that ‘space matters’. The goal of the applied course is to equip participants with essential knowledge on methods and tools currently available in the field of spatial data analysis with a focus on ‘Spatial Statistics and Spatial Econometrics’. Besides presenting the general logic and methodological foundations of this research field, a distinct focus is set on developing skills to work with applied examples using the software package STATA. This shall enable participants to build up competencies for conducting own empirical projects in the research field.

The course is structured as follows: After a brief introduction of the historical evolution of spatial data analysis, different research settings in economics and related research fields are outlined, which call for the explicit use of spatial estimation techniques. Following this introduction, the concept of the spatial weighting matrix is introduced and statistical approaches to measure and visualize the degree of spatial dependence for a variable under study are presented.

Moving from univariate to multivariate modelling techniques, the course then presents estimation techniques for spatial models and applies this theoretical knowledge to hands-on applications for different datasets. Finally, as an outlook on future research possibilities, state-of-the-art concepts such as spatial panel data models will be presented.

At the end of the course, participants shall be able to detect the degree of spatial dependence in the available data and judge which spatial econometric models are most appropriate given the research question at hand. Moreover, participants will acquire the ability to estimate such models using the software package STATA.

Datasets, STATA do- and ado-files will be provided ahead of the course.”

Requirement of students: Basic knowledge in Stata. You may watch this online tutorial.

Pre-readings:

Recommended literature:

  • Anselin, L. (2010). Thirty years of spatial econometrics. Papers in Regional Science, 89(1), 3-25.
  • Sarafoglu, N., & Paelinck, J. (2008). On Diffusion of Ideas in the Academic World: The Case of Spatial Econometrics. Annals of Regional Science, 42(2), 487-500.

You have to register for the 12th 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, UKE Hamburg

Date: Monday, 10/09/18 – Wednesday, 12/09/18 (14.30–18.00 h)

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 in the course of 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 in 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.

Requirement of students: Basic knowledge in descriptive and inferential statistics is recommended.

Recommended literature and pre-readings:

  • Matloff, N. (2011). The Art of R Programming: A Tour of Statistical Software Design. No Starch Press.
  • Wollschläger, Daniel (2012). Grundlagen der Datenauswertung mit R (2. Aufl.). Berlin: Springer.

You have to register for the 12th International Research Workshop to participate in this course.

Writing Your Literature Review

Institution: see Organisers & Supporters

Programme of study: International Research Workshop

Lecturer: Jun.-Prof. Dr. Katharina Stornig, Justus-Liebig-Universität, Gießen and Dr. Paul Vickers, Universität Regensburg

Date: Monday, 10/09/18 – Wednesday, 12/09/18 (09.00-12.30 h)

Max. number of participants: 20

Credit Points: 5 CP for participating in the whole IRWS

Language of instruction: English

Contents:

All research, whatever the discipline and however original, draws on existing studies. Any research project necessarily positions itself in relation to existing empirical, theoretical and methodological debates. This course provides practical insight and advice on how to write a literature review (Forschungsstand) providing an overview of the “state of the art”. The course will begin with insights on tips, tricks and tactics for tackling the literature review, including collecting and synthesizing literature, summarizing existing debates, and providing advice on academic writing in English and German. The sessions will also involve group work and focused feedback on individual projects.

Requirement of students: Each participant sends at least one week in advance of the course an extended abstract (Exposé) of their research project.

Recommended literature and pre-readings:

  • Patrick Dunleavy. How to Plan, Draft, Write and Finish a Doctoral Thesis or Dissertation. Palgrave: 2003.
  • Jose L. Galvan. Writing Literature Reviews: A Guide for Students of the Social and Behavioral Sciences. University of Michigan: 2004.
  • Ansgar Nünning/Roy Sommer, Hrsg. Handbuch Promotion. Forschung – Förderung – Finanzierung. Metzler: 2007.

You have to register for the 12th International Research Workshop to participate in this course.

Social Network Analysis

Institution: see Organisers & Supporters

Programme of study: International Research Workshop

Lecturer: Dr. Raphael Heiberger, University of Bremen

Date: Monday, 10/09/18 – Wednesday, 12/09/18 (09.00-12.30 h)

Max. number of participants: 20

Credit Points: 5 CP for participating in the whole IRWS

Language of instruction: English

Contents:

The rising prominence of social network analysis (SNA) has been mirrored in the development of specialized tools and computer programs for various kinds of networks. This general trend has been enhanced by the current data revolution. Innovative methods to study social networks are often developed in the R-framework. The workshop introduces various R-packages on SNA and enables participants to construct, analyze and visualize network data. First, we will concentrate on the different logic of each package in terms of graph initialization, their general advantages and disadvantages, and how to overcome those differences. After practising how to treat network data in R, we will focus on the utilization of a variety of network measures describing both actor positions and whole networks. Additionally, there exist many built-in algorithms for community detection and network evolution that can be easily applied after the first steps. After a short explanation of the mathematical and theoretical intuition of the concepts in question, we will apply them to multiple empirical examples.

Requirement of students: Experiences with R might be helpful but are not a requirement. The workshop uses RStudio as a development environment. Please install R and RStudio prior to the workshop. To install, follow these steps:

  1. Download the R-installer from https://cran.r-project.org. Select and download the latest installer suitable to your operating system.
  2. Run the installer. Default settings are fine.
  3. Download RStudio https://www.rstudio.com/products/rstudio/download.
  4. Once the installation of R has completed successfully (and not before), run the RStudio installer.
  5. Open RStudio. It should open a window that looks similar to the image attached.
  6. Install R packages required for the workshop. To do that just type in the console install.packages(’MYLIB’) where MYLIB is a placeholder for the various packages we will need, especially:
    igraph
    igraphdata
    statnet
    ergmharris
    intergraph
    reshape2
  7. You can see if the package installation was successful by just loading a package
    with library(MYLIB). Note that there are no quotes now.

Recommended literature and pre-readings:

  • Marin, Alexandra & Barry Wellman (2011): Social Network Analysis: An Introduction. In: John Scott & Peter J. Carrington (Eds.): Sage Handbook of Social Network Analysis. London/New Delhi: Sage, pp. 11-26.
  • Hanneman, Robert A. & Mark Riddle (2011): Concepts and Measures for Basic Network Analysis. In: John Scott & Peter J. Carrington (Eds.): Sage Handbook of Social Network Analysis. London/New Delhi: Sage, pp. 340-370.

You have to register for the 12th International Research Workshop to participate in this course.

Grounded Theory

Institution: see Organisers & Supporters

Programme of study: International Research Workshop

Lecturer: Dr. Christine Moritz, Feldpartitur GmbH

Date: Monday, 10/09/18 – Wednesday, 12/09/18 (09.00-12.30 h)

Max. number of participants: 20

Credit Points: 5 CP for participating in the whole IRWS

Language of instruction: English

Contents:

The key purpose of this workshop is to offer a comprehensive introduction to Grounded Theory and it is both, theoretically and practically, orientated. First, participants meet the so-called “essentials”: research design; data collection, open/axial/selective coding, categorizing, writing memos and theoretical sampling (the subjects theoretical sensitivity and generating theory will only be touched), then, second, examples might exercise and clarify these concepts. To assist participants to develop valuable and effective research practices, exemplars from current research projects will be assessed and critically reflected. In addition to your registration please submit a brief abstract (1-2 pp.) and answer following questions (en/ger):

  • 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?

Requirement of students: Brief abstract answering the above-mentioned questions.

Recommended literature and pre-readings: None.

You have to register for the 12th International Research Workshop to participate in this course.

Qualitative Interviewing

Institution: see Organisers & Supporters

Programme of study: International Research Workshop

Lecturer: Dr. Sarah Potthoff, Ruhr-University Bochum

Date: Monday, 10/09/18 – Wednesday, 12/09/18 (09.00-12.30 h)

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 basics of qualitative interviewing. The course introduces methodological and practical aspects of different forms of qualitative interviews like guided interviews, narrative interviews and focus groups. How are these different kinds of interviews different, what are their shared fundamentals, and what makes a good interview in which circumstance?

The course covers issues of research design, including the selection of research questions, methods, and sampling strategies. The participants will learn to conceptualize interview guidelines and to conduct interviews – guided as well as narrative interviews. In addition, frequent mistakes in conducting qualitative interviews and challenges of research ethics will be discussed.

Requirement of students: None.

Recommended literature and pre-readings: None.

You have to register for the 12th International Research Workshop to participate in this course.

Data Analysis with Stata

Institution: see Organisers & Supporters

Programme of study: International Research Workshop

Lecturer: Tobias Gramlich, Hesse State Statistical Office

Date: Monday, 10/09/18 – Wednesday, 12/09/18 (09.00-12.30 h)

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

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 12th International Research Workshop to participate in this course.

Reminder: 11th International Research Workshop – Methods for PhD (10 – 15 September 2017)

We still have some vacancies! Check our website for further information: http://www.phd-network.eu/irws/registration/

11th International Research Workshop – Methods for Ph
10–15 September 2017
Akademie Sankelmark, Flensburg (Germany)
University of Southern Denmark, Kolding (Denmark)

PROGRAMME
PARALLEL MORNING SESSION 1 (11 – 13 September 2017@Akademie Sankelmark)

PARALLEL AFTERNOON SESSION 2 (11 – 13 September 2017@Akademie Sankelmark)

PARALLEL SESSION 3 (14 September 2017@SDU Kolding)

WORKSHOP COMMITTEE:

  • Wenzel Matiaske, Helmut-Schmidt-University
  • Simon Fietze, University of Southern Denmark
  • Heiko Stüber, Institute for Employment Research

FEES & REFUGEE SCHOLARSHIPS

469 Euro (with accommodation and meals)
299 Euro (without accommodation, lunch and dinner are included)

We are offering up to three funded scholarships to support refugee postgraduate students from Germany. Full details including eligibility criteria and how to apply for a scholarship can be found on the workshop website.

It is possible to get a certificate on 5 credit points (according to the European Credit Transfer System).

CONTACT & REGISTRATION

For any questions don’t hesitate to contact the workshop committee (irwsnetwork@gmail.com).
Please register for the workshop 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
  • University of Southern Denmark, Department of Entrepreneurship and Relationship Management
  • Akademie Sankelmark im Deutschen Grenzverein e.V.
SUPPORTERS
  • University of Southern Denmark, Department of Environmental and Business Economics
  • Europa-Universität Flensburg
  • University of Hamburg, Faculty of Economics and Social Sciences
  • University of Hamburg, School of Business
  • Leuphana University Lüneburg, Faculty of Economics
  • Werkstatt für Personal- und Organisationsforschung e.V.
  • German Socio-Economic Panel Study (SOEP) at the DIW Berlin
  • Hans-Boeckler-Foundation

Qualitative Interviewing

Institution: see Organisers & Supporters

Programme of study: International Research Workshop

Lecturer: Dr. Nicolas Legewie (German Institute for Economic Research – DIW Berlin)

Date: Monday, 11/09/17 – Wednesday, 13/09/17 (14.30-18.00 h)

Max. number of participants: 20

Credit Points: 5 CP for participating in the whole IRWS

Language of instruction: English

Contents:

In this course, participants will learn the basics of qualitative interviewing. We will work with a standard guided interviewing technique. In three sessions we will cover issues of research design (research questions and case selection), design interview guidelines, conducting interviews, and analysing qualitative interview data. The structure of the course follows a workshop format, with participants practising design, interviewing, and analytic skills in individual and group exercises.

Participants who attend this workshop will have familiarised themselves with relevant methodological and practical issues of qualitative interviewing and gathered first experiences designing, conducting, and analysing qualitative interviews.

Requirement of students: Basic knowledge on methods of empirical social research is required. No previous knowledge of qualitative methods is necessary.

Recommended literature and pre-readings: tba.

You have to register for the 11th International Research Workshop to participate in this course.

Visual Data Analysis

Institution: see Organisers & Supporters

Programme of study: International Research Workshop

Lecturer: Jun.-Prof. Dr. Anne Nassauer (Free-University Berlin)

Date: Thursday, 14/09/17 (09.30 – 18.00 h)

Max. number of participants: 20

Credit Points: 5 CP for participating in the whole IRWS

Language of instruction: English

Contents:

Since the early 2000s, the proliferation of cameras, whether in mobile phones or CCTV, body cameras, or drones, has led to a tremendous increase in visual recordings of human behaviour. More and more of such data is uploaded online, for instance on sharing platforms such as YouTube or LiveLeaks. This vast pool of data enables new approaches analysing a variety of social phenomena. The application is both qualitative and quantitative and ranges widely; from sociology to psychology; criminology to education and beyond.

The goal of this workshop is to introduce the opportunities that these technological advancements provide and enable participants to make use of these exponentially growing, easily accessible data pools to studying social phenomena.

The first part of this workshop (2 hrs) will provide an overview of approaches analysing visual data. We will examine qualitative approaches of studying visuals and their context (visual studies), as well as a variety of novel approaches to visual data, that focus on quantitative and qualitative analysis of social phenomena and human behaviour caught on tape (visual data analysis).

A second part (2 hrs) will discuss the analytic potential of novel visual data types. We will discuss opportunities and challenges that arise when wanting to study recordings of phenomena or behaviour “as it happened.” We will discuss: How can participants use the increasing amount of behaviour – captured by cell phones, drones, or police body cameras – as a reliable and valid data source in their PhD project? What can be studied using these data and which analytic procedures are useful to study them?

A third part of the workshop (2 hrs) will discuss the participants’ PhD projects in light of these opportunities. We will take a hands-on approach and go through the process of visual data collection and visual data analysis step by step by using examples. Students can either bring recordings that they want to use as an (additional) data source for their PhD, or we will examine other practical examples.

Requirement of students: None.

Recommended literature and pre-readings:

  • Harper, Douglas. 1988. “Visual Sociology: Expanding Sociological Vision.” The American Sociologist 19(1):54–70.
  • Nassauer, Anne and Nicolas Legewie. Under Review. “Visual Data Analysis: Towards a Methodological Framework for a Novel Trend in Studying Behavior.”

Optional readings:

  • Klusemann, Stefan. 2009. “Atrocities and Confrontational Tension.” Frontiers in Behavioral Neuroscience 3(42):1–10.
  • Levine, Mark, Paul J. Taylor, and Rachel Best. 2011. “Third Parties, Violence, and Conflict Resolution: The Role of Group Size and Collective Action in the Micro-regulation of Violence.” Psychological Science 22(3):406–12.

You have to register for the 11th International Research Workshop to participate in this course.