Innovation & Entrepreneurship Summer School, June 11-15, 2018, Aachen

Within the ERASMUS+ Knowledge Alliance, TACIT project – https://www.tacitproject.org) we are organising a PhD Summer School on June 11-15, 2018 at RWTH Aachen University in Germany. The summer school focuses on Innovation and Entrepreneurship Methods and will be a good mix of lectures, workshops and social activities.

The summer school is both for PhD and Master students, and will effectively give the participants a hands-on experience of a diversity of methods, that can provide them with new approaches to innovation and entrepreneurship.

Application deadline is May 1st! You need to include your CV and a short application describing your research interest, and why this summer school would be interesting for you to participate in.

Summer School Flyer

University of Hamburg – School of Business: Recent developments in audit research and an approach to getting published

Institution: Universität Hamburg, Fakultät für Betriebswirtschaft

Course Instructor: Professor Nicole Ratzinger-Sakel (UHH)

Course Value: 2 SWS or 4 LP

Block course:
20 February, 2019 – 22 February, 2019,
Time: 9 a.m. – 5 p.m.

Location: tba

Language of instruction: English

Application: Please send a current CV until January 12, 2019 to nicole.ratzingersakel@uni-hamburg.de.

Course Overview:
The main objectives of this PhD course include:

  • Introduce students to recent developments in audit research; hereby students will get
    knowledge about a selection of audit research papers recently published in highly ranked academic journals.
  • In addition, the course will enhance students’ ability to critically review the quality of research papers which is a meaningful element of the double-blind review process and extremely important for the quality of their own work. To do so, students will get an idea which “list” reviewers typically follow. Students are further expected to present and critically discuss papers that will be assigned to them.
  • Students will further get advices to getting their work published.
  • Finally, students should present their (first ideas of) own (audit) research ideas during the
    course.

Student evaluation: Presentation and critical discussion of assigned papers (papers will be
assigned to students after their application; each student is expected to present and critically
discuss one paper).

University of Hamburg – School of Business: Risk adjustment methods for quality of care outcomes with administrative data

Institution: Universität Hamburg, Hamburg Center for Health Economics

Course Instructors: Prof. Dr. Marco Caliendo / Prof. Dr. Tom Stargardt

Course Value: 5 ECTS

Block course:
24.09.2018: 9:00 am ‐ 12:30 pm / 01:30 pm ‐ 05:00 pm
25.09.2018: 9:00 am ‐ 12:30 pm / 01:30 pm ‐ 05:00 pm
26.09.2018: 9:00 am ‐ 12:30 pm / 01:30 pm ‐ 05:00 pm

Place: Universität Hamburg

Classroom: 4029, Esplanade 36

Language of instruction: English

Registration: Please contact  Elena Phillips, elena.phillips@wiso.uni-hamburg.de (first come, first-served)

Course Overview:
The course will cover methods for drawing causal inference in interventional, non‐
experimental/non‐randomized studies on quality of care with administrative data. In order to control for confounders between intervention and control group, at first simple methods (such as stratification and standardization) as well as advanced methods (Propensity Score Matching, Difference‐in‐Differences, Regression‐Discontinuity Designs) are taught. The course will also give an overview on common risk‐adjustment instruments (generic and disease specific risk‐adjustment scores based on diagnoses or ATC codes) for use with health outcomes.

The course will be split in theoretical and practical sessions. During the practical sessions we are going to implement the discussed estimators with STATA. Hence, a basic knowledge of STATA (data handling, running do‐files, etc.) is a prerequisite for the course. If you are not familiar with STATA you might want to check the online introduction from the UCLA Institute for Digital Research and Education https://stats.idre.ucla.edu/stata/. The relevant estimation commands and ado‐files will be explained during the course; some of them require STATA 13 or higher.

Assessment: Students will have to complete an assignment doing (statistical) analyses of a dataset. Results have to be presented in the form of a short summary paper.

More information: https://www.bwl.uni-hamburg.de/forschung/promotion/phd-risk-adjustment-module-description.pdf

University of Hamburg – School of Business: Behavioral & Experimental Economics

Institution: Universität Hamburg, Fakultät für Betriebswirtschaft

Course Instructors: Prof. Dr. Markus Nöth and Prof. Dr. Guido Voigt (both UHH)

Course Value: 2 SWS/4 LP

Date: The course takes place on four Fridays in the summer term 2018: 6.4. / 20.4. / 18.5. / 6.7., 10-12.30h and 13.30-16h

Place: Universität Hamburg

Room: tba

Language of instruction: English

Registration: Please contact stefanie.nonnsen@uni-hamburg.de (first come, first-served)

Course Overview & Contents:
The course discusses the basic steps of performing behavioral research. We start with discussing critical assumptions of game theoretic models. We then show how research hypotheses can be inferred from behavioral models and how these hypotheses may be tested in lab studies. Critical design factors of laboratory experiments and the most commonly applied statistical tests will be presented.
We will further visit the Lab at the UHH while discussing options (e.g. eye-tracking) and limits
(e.g. subject pool, size of the lab) for conducting lab experiments at UHH. The course also provides an overview of commonly applied software tools that are used for behavioral modelling (Maple), software for computerized experiments (z-Tree), and statistical analysis (Stata). Ethical aspects of conducting laboratory experiments underpin the theoretical/fundamental part of this course.
Based on these theoretical foundations, participants are asked to design an experiment. The
presentations will be the basis for passing/failing the course. The topic of the experiment is
open. We may also suggest a topic. If this is the case, please send your research interest along
with the registration.

Prerequisites: Basic background in microeconomics, game theory and statistics.

Assessment: Assessment will be based on active participation. Grading for students
of University of Hamburg will be pass/fail.

More information: https://www.bwl.uni-hamburg.de/forschung/promotion/phd-kurs-noeth-voigt-ss18.pdf

Management Akademie Weimar: Storytelling für die Wissenschaft (27.-28.07.2018)

“In einer demokratischen Gesellschaft ist eine bürgerorientierte Wissenschaftskommunikation (…) keine Zumutung. Eher schon wird durch sie jenes räsonierende Publikum realisiert, in dem Kant überhaupt das Medium der Aufklärung sah.” (S. 24, “Fundiert Forschen”, Springer Verlag, Wiesbaden, 2017)

Wissenschaftskommunikation ist das Zauberwort: wissenschaftliche Inhalte sollen nicht nur innerhalb eines Fachbereiches geteilt, sondern auch sachlich, interdisziplinär und offen reflektiert werden. Die Öffentlichkeit hat ein verstärktes Interesse an den Ergebnissen wissenschaftlicher Arbeit. Es steigt die Nachfrage nach allgemein verständlichen Inhalten. Wissenschaftler und Forscherinnen können sich nicht mehr nur auf ihre akademischen Leistungen verlassen. Um ihre Expertise Kooperationspartnern, Vorgesetzten, Geldgebern, potentiellen Kunden, Geschäftspartnern oder auch Investoren verständlich, klar und ansprechend zu präsentieren, benötigen sie mehr als ihre Fachkompetenz. Es geht um die richtige Formulierungen und die passende Visualisierung. Genau diese Kompetenz können Sie in diesem Workshop erlernen.

Zielgruppe: Dieser Workshop eignet sich für Forscherinnen und Wissenschaftler sowohl aus der universitären wie der industriellen Forschung und Entwicklung. Ein Hochschulabschluss wird vorausgesetzt.

Wann? Freitag, den 27.07.2018 ab 10:00 Uhr bis Samstag, den 28.07.2018 um 17:00 Uhr

Wo? Management Akademie Weimar (Villa Ingrid), Gutenbergstraße 1, 99423 Weimar

Teilnahmegebühr: 599,- EUR (netto; inkl. MwSt.: 712,81 EUR) bei Anmeldung bis 30.04.2018. Nach Ablauf der Early-Bird-Konditionen gilt der Normaltarif von 699,- EUR netto.

Weitere Infos und Anmeldung unter http://www.management-akademie-weimar.de/veranstaltungen-2/

Management Akademie Weimar: BarCamp zum kritischen Denken (08.-09.06.2018)

Kritisches Denken – wir wollen darüber diskutieren, offen und frei: Was ist kritisches Denken? Welchen gesellschaftlichen Stellenwert hat es? In unserem Alltag? Im Beruf? Im Bildungssystem? In der Wissenschaft? In der Wirtschaft? Das Wort „Kritik“ hat in den letzten Jahrzehnten einen eher negativen Beigeschmack erhalten. Kritik zu üben – sei diese nun konstruktiv oder gut gemeint – bedeutet, die Schwachpunkte und die negativen Aspekte aufzuzeigen. Aber „Kritik“ hat sowohl eine negative als auch eine positive Konnotation.

Eine kritische Auseinandersetzung, ein kritischer Diskurs oder eine Kritik im klassischen Sinne ist eine systematische, wissenschaftliche Beschäftigung mit einem Thema. Es bedeutet, dass wir Argumenten, Ideen, Positionen und wissenschaftlichen Belegen auseinandersetzen auf den Prüfstand stellen. Sie hinterfragen und untersuchen. Das ist nicht nur in der Wissenschaft wichtig. In Zeiten offener und freier Informationsverbreitung gewinnt die Fähigkeit zum kritischen Denken für Jedermann an Relevanz. Quellen und Informationen sollten geprüft und hinterfragt werden. Nicht jede Information ist zuverlässig. Wir sollten also darüber sprechen, wie wir dieser Anforderung gerecht werden können.

Wir wollen uns kritisch mit dem kritischen Denken beschäftigen – in einem offenen Format, dem BarCamp. Ein BarCamp gibt nur die Struktur einer Konferenz vor – die Inhalte liefern Sie als Teilnehmerinnen und Teilnehmer selbst. Sie dürfen Vorträge halten, Workshops durchführen, Diskussionsrunden moderieren, Fragen in den Raum stellen, Theorien und Ideen präsentieren, – Ihrer Kreativität sind keine Grenzen gesetzt.

Ziel ist, die Idee des kritischen Denkens in unserer heutigen Gesellschaft zu erfassen und zu dokumentieren. Jede Teilnehmerin oder Teilnehmer kann sich an der Dokumentation und der anschließenden Publikation beteiligen. Wir, die Management Akademie Weimar und Dr. Anna Kollenberg, freuen uns auf einen Austausch auf Augenhöhe, der uns alle in unserem Denken und Handeln weiterbringen, uns inspirieren und neue Perspektiven aufzeigen wird.

Wann? 08.06.2018 19.00 – 09.06.2018 19:00 Uhr
Wo? Management Akademie Weimar (Villa Ingrid), Gutenbergstraße 1 in 99423 Weimar
Weitere Infos und Anmeldung: http://www.management-akademie-weimar.de/veranstaltungen-2/

HICL 2018: The Road to a Digitalized Supply Chain Management 13./14.09.2018 in Hamburg, Germany

The 12th Hamburg International Conference of Logistics (HICL 2018) hosted by the Hamburg University of Technology (TUHH) will take place on the 13th & 14th of September 2018 with an additional PhD seminar on the 12th of September.

We invite you to submit empirical, theoretical, methodological and practical contributions to be submitted via https://hicl.org/submit addressing topics related to one of the following tracks:

  • Innovation and Technology Management
  • Risk and Security Management
  • Sustainability and City Logistics
  • Maritime and Port Logistics
  • Supply Chain Analytics and Blockchain
  • Advanced Manufacturing and Industry 4.0

Further Information

VHB pro dok: Advanced Topics in Quantitative Empirical Accounting Research (04.-07.09.2018)

Abstract and Learning Objectives

This course focuses on quantitative empirical archival accounting research, covering theoretical, methodological and technical aspects of this research program. The course concentrates on financial accounting issues but also touches on some auditing topics. After this course, participants should

  • have a clear understanding about the theoretical foundations of positive and capital market-based financial accounting research,
  • understand the methodological approaches to and common pitfalls of empirical archival research designs,
  • have acquired information about how to execute empirical archival studies, including the usability and inter-operability of different data sources,
  • have become familiar with a collaborative data science workflow using R/Stata and Github,

and, based on their own research proposal, have received constructive feedback on how to design and execute a viable study in the area of quantitative empirical financial accounting research.

Date of event: 04. – 07. September 2018

Location: Berlin

Lecturer:

Prof. Dr. Joachim Gassen (Humboldt-Universität zu Berlin)

Registration:

To get an overview of the amount of the participation fee and to register for the course, please use this link: http://vhbonline.org/veranstaltungen/prodok/anmeldung/

You can also send an email to prodok(at)vhbonline(dot)org.

The registration deadline is 5. August 2018.

VHB pro dok: Endogeneity (19.-22.09.2018)

Abstract:

Many empirical research projects that use non-experimental data are struggling with the proper identification of causal effects of independent variables (e.g., price, management decisions) on dependent variables (e.g., demand). The reason is that the identification of a causal effect hinges on the untestable assumption that the error term of a model is uncorrelated with the independent variables. If this assumption is not met, a model is plagued by endogeneity.

The topic of endogeneity has received considerable attention, and it is probably the most frequently encountered troublemaker in a review process at an academic journal.

This course, therefore, has the goal of making students familiar with the problem of endogeneity and potential remedies. This implies that it will cover the opportunities and problems associated with traditional approaches (e.g., Instrumental Variable estimation) as well as more recent developments (e.g., Gaussian Copulas). The course will also cover how the data structure (e.g., panel data) can be utilized to address the problem. Because the literature on endogeneity is often quite technical, this course aims at providing an easily accessible approach to this topic. Special emphasis will also be given to understanding when endogeneity indeed poses a real problem as compared to settings in which endogeneity is less likely to be a real threat to the validity of the findings.

After completing this course, students will be able to define and describe endogeneity problems in different empirical settings, they will know how to implement techniques that address endogeneity, and they will be aware of the (dis)advantages of different methods.

Date of event: 19. – 22. September 2018

Location:

University of Tübingen
School of Business and Economics
Nauklerstr. 47
72074 Tübingen

Lecturer:

Prof. Dr. Dominik Papies (Universität Tübingen)

Registration:

To get an overview of the amount of the participation fee and to register for the course, please use this link: http://vhbonline.org/veranstaltungen/prodok/anmeldung/

You can also send an email to prodok(at)vhbonline(dot)org.

Syllabus

VHB pro dok: Experimental Research and Behavioral Decision Making (03.-06.09.2018)

Concepts in behavioral economics such as loss aversion, overconfidence, reciprocity, and inequity aversion are increasingly used to explain deviations from rational behavior in economic decisions. In this PhD course, basic models of behavioral economics and theories used to explain behavior that differs from standard economic assumptions are presented and imparted based on experimental studies.

For this purpose, the essential methodological foundations of experimental economic research are introduced, anchored in scientific theory, and delimited from experimental research of neighboring disciplines. In the further course, experimental studies in particular from the fields of management research and business ethics will be extensively reviewed and discussed in order to present behavioral economics concepts and their effect on economic decisions. In addition, studies on the influence of personality disposition on economic decisions and their measurement in experiments are covered. In order to directly apply the acquired knowledge, the participants will develop their own experimental design and instructions in small groups and present their work in plenary on the last day of the course. Furthermore, there will be an introduction to programming with oTree within several tutorials.

Date of event: 03. – 06. September 2018

Location: Paderborn

Lecturer:

Prof. Dr. René Fahr (Univerität Paderborn)
Dr. Behnud Djawadi (Universität Paderborn)

Registration:

To get an overview of the amount of the participation fee and to register for the course, please use this link: http://vhbonline.org/veranstaltungen/prodok/anmeldung/

You can also send an email to prodok(at)vhbonline(dot)org.

Registration Deadline: 05. August 2018