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Workshops for PhD Students

Upcoming Workshops

Machine Learning in Accounting and Finance

Lecturer: Prof. Dr. Thomas Reinhard Loy and Prof. Dr. Thorsten Poddig
Registration: via Stud.IP
Start: November 2020

Aim of the Module: Primary the ability to use (selected) methods of ML for solution economic application problems from different areas. Second introduction to the scientific software Matlab or Python, practical skills
for their use and application and a basic understanding of programming in general.

Content: Presentation of selected ML processes (see below) and the implementation with the help of Matlab or Python and to work with it practically, i.e. to work with different application examples from the economy and
to evaluate their performance there.

The course focuses primarily on basic procedures of the ML, e.g. in particular:

  • K-nearest neighbor
  • Kernel Regression
  • Decision trees
  • Support Vector Machines
  • Naive Bayes

Workshop on the global company database “Orbis”

Date and Time: June 25th, 2020, from 10:00 to 13:00

Format: Workshop via Zoom

Register on rgdnewsprotect me ?!uni-bremenprotect me ?!.de

As an activity within the graduate group “Diginomics” and in cooperation with the Staats- und Universitätsbibliothek (SuUB) Bremen, we organize a workshop in a webinar format to introduce to "Orbis" database (Bureau van Dijk (BVD), Moody’s Analytics).

Initiated by Uwe Staroske from the SuUB and Jutta Günther, we are planning a workshop with a representative of the BVD, which is providing the database. The aim of the workshop is, first to give a general introduction for new users and interested, and second to update experienced users on new features, besides also offering the possibility of asking specific questions of individual interest.

More about Orbis: Orbis offers information and data on more than 360 million companies worldwide. It captures and treats data from more than 160 separate providers and hundreds of BVD own sources. Therefore, it is a great data source for a variety of research fields as well as for business applications (e.g. Credit risk, transfer pricing analysis, business development, M&A and corporate finance). The SuUB offers access to “Orbis” for all library users:


PhD course "Time Series Analysis"

This course provides a basic insight into modern time series analysis. Today, time series analytical concepts are mainly used in macroeconomics, finance & banking and marketing. This course focuses on practical instruction, which means that the most important concepts are introduced first, followed by practice-oriented questions on the computer. Programming knowledge is desirable but by no means a prerequisite.

Further information about the course can be found here.

Experimental Design & Methods

Due to the COVID 19 pandemic, this workshop will be postponed to a later date.

Instructor: Ximena Garcia-Rada

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The Diginomics Graduate Group together with the BreLAB is organizing a workshop on „Experimental Design & Methods“ on April 23-24, 2020. The workshop will be given by Ximena Garcia-Rada from Harvard Business School, and is open to PhD candidates and other interested colleagues of the Faculty of Business Studies and Economics. The workshop will offer an overview of experimental research methods applicable to marketing, social psychology, and other related fields. Based on behavioral approaches, the course will introduce how to design and run different types of experiments in a lab or field environment.

Program: Download PDF Program

Ximena Garcia-Rada is a Doctoral Candidate in the Marketing Unit at Harvard Business School. She specializes in consumer behavior in the context of close relationships using laboratory experiments, field studies, and archival data. Before joining Harvard University, she worked as a research associate at Duke University, where she studied how social and cultural factors impact decision-making and dishonest behavior. Ximena received a Bachelor of Business Administration from Universidad de Lima and an MBA from INCAE Business School.

Past Workshops

Workshop "Getting Published"

The workshop "Getting Published" was offered by Prof. Dr. Kristina Klein and Prof. Dr. Lars Hornuf on November 6, 2019. The participants that included Diginomics group members and other PhD students received some useful tips on writing scientific papers, and learned about method selection, structure and successful publishing in high-quality journals.

Text Mining and Topic Modeling

Working place with laptop, papers and pens.

In June 2019, Prof. Dr. Martin Möhrle gave a practice workshop on Text Mining and Topic Modelling for PhD and Master students.

Main objectives of the workshop were:

  • To acquaint the students with the methods of text mining and topic modelling with a focus on the application of methods.
  • To introduce possibilities of text mining and topic modelling by a case of a systematic literature review.
  • To allow the participants to select relevant techniques and understand and interpret their results so that they are able to understand in which situation text mining and related techniques deliver valuable results (and in which they do not).

It’s the Social, Stupid! Public Blockchains as Socio-Economic Systems

In May 2019, Michel Rauchs from the Cambridge Centre for Alternative Finance (CCAF), Judge Business School, the University of Cambridge, gave a workshop on public blockchains as socio-economic systems, in addition to his earlier talk at the Diginomics Brownbag Seminar. Michel leads the "Cryptocurrency and Blockchain" program at the CCAF. His research focuses on Cryptoassets, Blockchain and Initial Coin Offerings (ICOs).

Workshop content:

  • Brief recap of public blockchains and the 3 layers of a DLT system
  • Discuss the incentive design that acts as a coordination mechanism for making these open networks function
  • Discuss the “social contract” that either implicitly or explicitly governs these networks: who is involved? How do decisions get taken and implemented?
  • What happens if there are disagreements? Forks, community “civil wars”, etc. à case studies (including The DAO hardfork)
  • Wrap up: how “trustless” and “decentralised” are these systems really?
Michel Rauchs

Experimental Finance

Profilbild Prof. Dr. Stefan Zeisberger

In April 2019, Prof. Dr. Stefan Zeisberger from the University of Zurich and Radboud University Nijmegen held a workshop on Experimental Finance, which was aimed at all young researchers of the Faculty of Business Studies and Economics. The objective of the workshop was to explain the benefits of experimental research methods (laboratory and field), especially in the field of finance. The workshop taught young researchers when and for what purpose experimental methods are useful and what their limitations are. Current literature on Behavioral and Experimental Finance was analyzed, and it was shown which steps and challenges have to be considered when designing experiments in economics. Furthermore, possible research ideas were generated and discussed.