Workshops for PhD Students
Applied Econometrics Using Stata
Applied Econometrics Using Stata, Summer Term 2022
During the summer term Lars Hornuf offers a course “Applied Econometrics Using Stata.” The course is highly recommended for all PhD-students of the Diginomics Group, who conduct empirical research and want to implement an advanced empirical project.
- Learn state-of-the-art methods and techniques commonly used in empirical research.
- Get a clear understanding about the foundations of quantitative empirical research.
- Learn how various empirical methods can be used for specific research problems and what needs to be considered.
- Basic Concepts of Statistical Inference
- Linear Model Revisited
- Panel Data Models
- Instrumental Variables
- Matching Procedures
- Duration Models
- Structural Break Models and Event Studies
REQUIREMENTS: Successful Participation in an Introductory Econometrics Course
DATES: From June 06 till July 21: weekly Wed. 16:00-18:00 (lecture) & Thurs. 16:00-18:00 (Pc-Pool)
APPLICATION: Register in StudIP
Text Mining and Topic Modeling
Text Mining and Topic Modeling, Summer Term 2022
Martin Möhrle and the Institute of Project Management and Innovation would like to warmly welcome our PhD-Studentes to the highly recommended lecture “Text Mining and Topic Modeling” in the summer term 2022.
- This course aims to introduce students the methods of text mining and topic modeling with a focus on the application of methods.
- Introduce the possibilities of text mining and topic modelling by the case of a systematic literature review.
- The participants should be able to select relevant techniques and understand and interpret their results.
- They should understand in which situation text mining and related techniques deliver valuable results (and in which they don’t).
- First experiences with R and Excel are necessary. with a focus on the application of methods.
- Some basic skills in programming.
- The course will start with a short kickoff on Wednesday, May 20, from 3 to 4 pm via Zoom.
- The lectures will be hold on 2nd, 9th and 16th May, including self study between the dates.
Please write an e-mail to firstname.lastname@example.org (with “Application Text Mining and Topic Modeling” in the e-mail subject) to register for the course and indicate if you are a PhD-candidate (PhD-candidates are prioritized). The registration deadline is the March 15, 2022.
International Diginomics and LogDynamics PhD Field Day
International Diginomics-LogDynamics PhD Field Day, February 22, 2022, Bremen
The Diginomics-LogDynamics PhD field day seeks to establish a scientific forum for discussion of research by PhD students and their respective peers. The primary objective of the field day is to help young scholars communicate their research, in content and presentation, and to get feedback on their projects from their peers and more experienced colleagues. The field day will thus seek to pair PhD students with their respective peers, and at the same time feature some presentations from established scholars in the field. A secondary objective of the workshop is also to help young scholars to develop the skills to publish in peer-reviewed journals.
Please find the program here.
The field day is especially designed for Phd students to seek feedback on their research
Participation is limited and based upon application and acceptance.
Entry is based upon application in either of the two formats –
- A dissertation proposal – approximately 5-page structured expose of PhD project, including a description of your problem, methodology, expected results and some specific questions where feedback is requested and how the field day can help you.
- An article formatted for a conference or a journal, including some specific questions where feedback is requested and how the field day can help you in publishing.
Please send your application to sekkinraprotect me ?!uni-bremenprotect me ?!.deuntil December 7th, 2021.
Participation is free on acceptance. Participants are expected to bear their own boarding and lodging costs.
Local program committee
- Aseem Kinra (Diginomics / LogDynamics)
- Lars Hornuf (Diginomics)
- Vera Hagemann (Diginomics)
- Maik Eisenbeiß (Diginomics)
- Thomas Loy (Diginomics)
- Ingrid Rügge (IGS / LogDynamics)
- Herbert Kotzab (Diginomics / LogDynamics)
Venue and Local Information
The workshop will take place at the University of Bremen (https://www.uni-bremen.de/en/)
The exact location shall be posted 2 weeks in advance. For more about getting to Bremen and the University take a look at the section on Local Information
Public transport: With the tram line 6, you will arrive to the location directly from the airport and from the main railway station.
Coming to Bremen
By plane. Airport Bremen is connected daily with international airports, such as Frankfurt, Munich, Stuttgart, Amsterdam, Paris, London, Copenhagen and Vienna airports. Several car rentals are available in the terminal. Alternatively, you can take a flight to nearby airports, Hamburg or Hanover, and continue with train to Bremen Central Station (Bremen Hauptbahnhof).
By train. Bremen Hauptbahnhof can be reached from all major cities in Germany using InterCity/EuroCity trains (IC/EC) or InterCity Express trains (ICE). For connections see Deutsche Bahn.
By car. Bremen is at the intersection Bremer Kreuz of German motorways A1/A27 (European roads number E22, E37, E234).
- Bremer Straßenbahn AG (local public transport provider)
- Bremen Tourism
- Offical webpage of the city of Bremen
Research Group: Diginomics – Digitalisierung, Wirtschaft & Gesellschaft (https://www.uni-bremen.de/en/diginomics-research-group)
LogDynamics – Bremen Research Cluster for Dynamics in Logistics (http://www.logdynamics.de/?&L=1)
Prof. Dr. Aseem Kinra
Phone: +49 (0) 421 218-66960
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: https://suche.suub.uni-bremen.de/peid=S00566451
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
Register on diginomicsprotect me ?!uni-bremenprotect me ?!.de
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.
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
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).
- 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?
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.