Category Archives: Network Courses

ReMaT – Research Management Training for Early-Stage Scientists on 23 & 24 April 2020 in Hamburg

Institution: The workshop is provided by Tutech Innovation GmbH, a company jointly owned by the Hamburg University of Technology (TUHH) and the Free and Hanseatic City of Hamburg whose mission is to promote effective transfer and exploitation of scientific and technological knowledge.

Lecturers:  Monica Schofield, CEng FIET, Dr. Margarete Remmert-Rieper (both Tutech Innovation GmbH)

Thursday, Apr. 23, 09:00 am – 07:00 pm
Friday, Apr. 24, 08:45 am – 04:30 pm

Place: Tutech Innovation GmbH, Harburger Schloßstr. 6-12, 21079 Hamburg

Language of instruction: English

Registration: For additional information on workshop fees, conditions of registration and participation as well as the course programme, please click here.



Workshop at Helmut-Schmidt-University on Qualitative Research Methods (05 and 06 February 2020)

Institution: Helmut-Schmidt-University Hamburg

Lecturer:  Prof. Dr. Abbie Griffin (University of Utah), Prof. Dr. Gloria Barczak (Northeastern University Boston)

Wednesday, Feb. 5, 01:00 pm – 05:00 pm
Thursday, Feb. 6, 9:00 am – 13:00 pm

Place: Helmut-Schmidt-Universität, Holstenhofweg 85, 22043 Hamburg. Building H 1, Room 1174

Language of instruction: English

Registration: If you like to participate, please E-Mail to

Contents: Qualitative Research Methodology in the Social Sciences

Workshop at Helmut-Schmidt-University on Good Practices in Peer-Review (30 and 31 January 2020)

Institution: Helmut-Schmidt-University Hamburg

Lecturer:  Prof. Dr. Abbie Griffin (University of Utah), Prof. Dr. Gloria Barczak (Northeastern University Boston), Former Editors of  the Journal of Product Innovation Management (JPIM)

Thursday, Jan 30, 01:00 pm – 05:00 pm
Friday, Jan. 31, 09:00 am – 01:00 pm

Place: Helmut-Schmidt-Universität, Holstenhofweg 85, 22043 Hamburg. Building H 1, Room 1174

Language of instruction: English

Registration: If you like to participate, please E-Mail to

Contents: How to handle reviews and what makes a good review for an A-Journal in the social sciences

ReMaT – Research management training for early-stage researchers (23 and 24 April 2020)

A ReMaT workshop – Research management training for early-stage researchers – will take place in Hamburg on 23rd and 24th April 2020. The workshop is designed for early-stage researchers in engineering and natural sciences, particularly PhD candidates from the 2nd year onward. 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

Uni Hamburg: PhD Course Advanced Modelling and Optimization

Course Instructor: Prof. Fliedner/Prof. Haase

Course Value: 2 SWS or 5 LP

Teaching language: English

Registration: via Email to

Course Objectives:

This course builds up on the fundamentals of linear and combinatorial optimization and equips students with a set of advanced modeling tools to solve optimization models from different fields of application. Students learn to formulate optimization models as   mixed- integer linear programs, how to solve them with standard software and how to construct heuristic solution algorithms. Successful participants will be able to deal with the  complexity of real-world decision problems via aggregation, relaxation, and decomposition techniques. This course is aimed at Ph.D. students in information systems, business administration, and computer science. Participants are expected to have a solid understanding of the basics of modeling and optimization and will be provided with an advanced understanding of algebraic optimization models and solution  methods

Student evaluation:

Successful completion of work assignments

Uni Hamburg: PhD Course Survey Research

Dates & Time:
Kick-Off: November 18, 2019; 6 pm
Seminar: February 10 – 12, 2020; full time (tba)
Exam: February 17, 2020; 9 am

Universität Hamburg, Moorweidenstr. 18, room 0005.1 (for 18 Nov 2019, 10 – 12 Feb 2020); room for exam tba

Prof. Dr. Karen Gedenk

Teaching Language:

Credit Points: 
2 SWS/5 LP

until November 11, 2019. Please send an e-mail to Elke Thoma ( which  informs about:

  • your name
  • your email address
  • the supervisor of your doctoral thesis and topic
  • your background in statistics and empirical research.


This course is designed to lay the foundations of good survey-based research in different areas of Business Administration. Through a critical review of existing literature, presen- tations and discussions, students become acquainted with common problems in survey- based research and advanced methods for solving them. Students get an overview of dif- ferent methods in the survey research “tool box”. This helps them identify appropriate methods for their own research and evaluate research done by others.


Students should have a solid foundation in statistics and be familiar with the basics of multivariate data analysis.

Student Evaluation:

To pass the course, participants are required to make a successful presentation. In addi- tion, they need to read one paper on each topic, participate in class discussions, and pass the exam.

Contents & Working Requirements:

Exemplary topics are preference measurement, measurement models for complex con- structs, structural equation models, moderation and mediation, multicollinearity, heter- ogeneity, endogeneity, common method bias. A list of topics and readings will be pro- vided at the kick-off meeting.

Participants prepare and hold a presentation – either alone or in a group (depending on the number of participants). In their presentation, participants explain, compare and evaluate methods relevant for their specific problem. All presentations should contain a practical example based either on an own dataset or on published research. Participants also take an exam at the end of the course.


Prof. Dr. Karen Gedenk (

For all organiziational issues please contact Elke Thoma  (


Uni Hamburg: PhD Course Behavioral & Experimental Economics

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

November 22nd, 2019; November 27th, 2019; March 27th, 2020.

The last session will take place either in May or June 2020, and will be scheduled in the second meeting.

Time 10am—4pm
Place Universität Hamburg (more details follow)
Instructor Prof. Dr. Markus Nöth and Prof. Dr. Guido Voigt (both UHH)
Teaching language English
Credit Points 2 SWS/5 LP

(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 par- ticipate 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 present and 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 exper- imental design. Alternatively, for participants who do not plan to conduct their own experi- ments, a second paper will be reviewed.

Participants have the option to take a research ethics training (https://about.citipro- that becomes increasingly important to conduct research projects with colleagues from the Unites States and in the European Union. 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, hu- man 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


Basic background in microeconomics, game theory and statistics.

Student evaluation:

  • Presentation and critical discussion of one or two experimental papers,
  • Optional but encouraged: experiment design presentation (extended summary on eco- nomic question, relevant literature, hypotheses, design: presentation with 10 slides or max. five pages extended abstract); running a pilot experiment


Schedule (tentative) 

Day Topics Suggested Readings
1st Session Introduction to the field

Game theoretic models, critical as- sumptions, Behavioral Models and Research Hypothesis

Laboratory Experiments

Katok (2018)
2nd Session Presentation and discussion of as- signed papers.

Statistics & Design Choices IRB, Field-Experiments

Hyndman, K. and Embrey, M. (2018)
3rd Session Presentation of research (Problem De- scription, Research Hypothesis, Exper- imental design)

Visit of WiSo-Experimentallabor (z- Tree, Eye-Tracking, etc.)

4th Session Presentation of pilot studies (Note: Pilot studies need to be scheduled in- dependently by participants)

Suggested readings before the course:

Katok, E. (2018) Designing and Conducting Laboratory Experiments, pages: 1-33 in Donohue, K.; Katok, E.; Leider, S. (Hg.). The handbook of behavioral operations. John Wiley & Sons, 2018. (online available)

Hyndman, K. and Embrey, M. (2018) Econometrics for Experiments, pages: 35-88 in Donohue, K.; Katok, E.; Leider, S. (Hg.). The handbook of behavioral operations. John Wiley & Sons, 2018. (online available)


Other useful resources:

Baum, C. F. (2006) An introduction to modern econometrics using Stata. Stata press Camerer, C (2003) Behavioral Game Theory, Princeton University Press.

Holt, C. (2019), Markets, Games, and Strategic Behavior: A First Course in Experimental Economics, 2nd edition, Princeton Universtity Press

Kagel, J. and A. Roth (1995) Handbook of Experimental Economics, Princeton University Press.

Sheskin, D. J. (2011) Handbook of parametric and nonparametric statistical procedures. 5. ed. CRC Press.

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


How to develop a strategic plan for funding your research

The workshop will take place in Hamburg on 18th March 2020.

The continuity of research funding often makes or breaks a research career at the postdoctoral stage. As institutional core funding diminishes and external funding becomes more and more competitive, how do you build your re-sources systematically and mitigate the risk of gaps in funding?

The workshop explores the concept of strategy in the research context. Having a clear idea of your research direction facilitates aligning even small projects to larger goals and makes individual proposals more compelling. It also helps to avoid the trap of letting funding dictate your research focus, which may lead to a fragmented track record. The goal of the workshop is to pro-vide guidance on how to approach the development of a strategic funding plan in the individual research setting. Participants will identify a portfolio of funding opportunities to be pursued in the coming years and manage the grant life cycle systematically to build the resources and capabilities necessary to deliver long-term sustainable research. A specific focus is on integrating national and EU funding sources, including both MSCA Fellowships and ERC Starting Grants.

More Information

Weiterbildungsangebot: „Auswertung qualitativer Daten mit MAXQDA – Schwerpunkt Visual Tools“ an der Helmut-Schmidt-Universität Hamburg

Nachdem sein MAXQDA-Einführungskurs im vergangenen Jahr bei den Teilnehmerinnen und Teilnehmern auf überaus positive Resonanz gestoßen ist, bietet Herr Dr. Stefan Rädiker im Rahmen der Weiterbildungsangebote der Fakultät WiSo auch in diesem Jahr wieder einen Workshop an der Helmut-Schmidt-Universität an. Diesmal geht es um das Thema: „Auswertung qualitativer Daten mit MAXQDA: Schwerpunkt Visual Tools“. Der Workshop richtet sich an Personen, die mit MAXQDA bereits erste Erfahrungen gesammelt haben (und ist NICHT als Einstieg in die Software gedacht).

Dr. Rädiker ist Diplom-Pädagoge und Trainer. Er hat mehrere Jahre als Chief Technology Officer bei der VERBI GmbH in Berlin, dem Hersteller von MAXQDA, die Funktionen des Programms weiterentwickelt und dabei auch zahlreiche Konzepte für Software- und Methoden-Workshops erarbeitet. Seit 2017 ist er mit seinem Angebot selbstständig tätig.

Die Veranstaltung findet am Freitag, den 25. Oktober 2019 von 09:00 bis 16:00 Uhr im PC-Labor der Fakultät WISO im Hauptgebäude H1 (R. 2161) statt. Es sind selbstverständlich nicht nur Doktorandinnen und Doktoranden willkommen, sondern Interessierte aller erdenklichen Herkünfte.

Für Mitglieder der HSU erfolgt der direkte Kursbeitritt ab sofort unter diesem Link: Wer nicht Angehöriger der Helmut-Schmidt-Universität ist, melde sich bitte bei Simon Weingärtner ( per E-Mail an. Bitte beachten Sie, dass die Teilnehmerzahl begrenzt ist. Sollten Sie einen Platz erhalten haben aber kurzfristig nicht teilnehmen können, melden Sie sich bitte in ILIAS bzw. per E-Mail wieder ab, damit ggf. Kolleg*innen auf der Warteliste nachrücken können.

Der Workshop richtet sich an Personen, die bereits mit MAXQDA erste Erfahrungen gesammelt haben(und ist nicht als Einstieg in die Software gedacht). Nach einer kurzen Auffrischung der Basics von MAXQDA (Daten importieren, Codieren, Memos schreiben) widmed sich der Kurs vorrangig den Visualisierungstools, die unabhängig von der gewählten Forschungsmethodik in vielen Auswertungsprozessen gewinnbringend eingesetzt werden können. In einer Mischung aus Demonstration und Übungsphasen stehen zudem die Möglichkeit, Daten zusammenzufassen, auf dem Programm:

  • Code-Matrix-Browser: Die Verteilung von Themen etc. auf Fälle überprüfen
  • Code-Relations-Browser und Codelandkarte: Gemeinsames Vorkommen von Aspekten untersuchen
  • Dokumentportrait und Codeline: Abfolge von Codierungen sichtbar machen
  • MAXMaps: Konzeptmaps erstellen und Ergebnisse visualisieren
  • Wordtree: visuelle Auswertung von Worthäufigkeiten und Wortkombinationen
  • Summary-Grid und Summary-Tabellen: Codierte Textstellen zusammenfassen

ACHTUNG: Zur optimalen Vorbereitung des Workshops werden alle Teilnehmenden gebeten, vorab online ein paar Fragen zu ihren aktuellen Forschungsprojekten (in kurzen Stichpunkten!) zu beantworten. Weiterhin wird Herr Dr. Rädiker einen Übungszettel zu MAXQDA bereitstellen, den die Teilnehmenden in ca. 30-45 Minuten mithilfe von kostenlosen MAXQDA-Tutorials ( bearbeiten können, so dass alle zumindest die Oberfläche schon einmal gesehen haben. Zugang zum Fragebogen und zum Übungszettel erhalten Sie zwei bis drei Wochen vor Workshop-Beginn über den Ilias-Kurs, bzw. als Auswärtige/r per E-Mail.

Die PCs in R. 2161 sind mit der aktuellsten Version des Programms ausgestattet. Wer keine eigene Lizenz besitzt und den eigenen Laptop nutzen möchte, kann zur Bearbeitung die kostenlose Demoversion verwenden ( Bitte beachten Sie, dass die Lizenz nur 14 Tage gültig ist.

Grant Acquisition – How to Produce a Winning Proposal

Dieser Workshop vermittelt Hintergrundwissen, Kenntnisse und Werkzeuge für das Konzipieren und Schreiben von Projektanträgen für Forschungsförderung. Horizon2020, das Rahmenprogramm der Europäischen Union für Forschung und Innovation dient als Modell, die erworbenen Fähigkeiten sind auf andere Forschungsförderprogramme übertragbar.

Die Seminarsprache ist Englisch.

Monica Schofield arbeitet seit 1999 für Tutech Innovation GmbH wo sie Director International Cooperation ist. Derzeit leitet sie den Geschäftsbereich Kompetenzentwicklung und Beratung. Seit 1995 ist sie in ganz Europa als Beraterin für Forschungs- und Innovationsmanagement aktiv, wobei sie zahlreiche Workshops zum Thema durchgeführt hat.

Mehr Information