The consulting focuses on research design and research methods, including general advice on data bases and research software. Our philosophy is to provide “help to help yourself”. Thus, we support you in the initial design of a study and in case of specific methodical questions. This covers one or two personal consulting sessions and/or some quick advice via E-Mail.
Coaching Session: Application and Process
- Please contact one of our experts via our application form (use HSG login). Our team comprises four consultants (please find further information below).
- To ensure an effective coaching session, we ask you to prepare the meeting in advance. This includes a brief sketch of your research design and a list of the open question you would like to discuss in the meeting.
- Our consulting usually takes one session. A follow-up session can be requested if required.
Consulting Team
This consulting service is led by Profs. Michael Lechner and Andreas Herrmann. The team comprises the following four experts.
Hugo Bodory deals with the implementation of IT infrastructure. He consults on Cloud Computing for usage of virtual machines, for example SWITCHengines (www.switch.ch). He also advises on the use of software for data analysis. Hugo Bodory is a research associate for Data and Method Consulting, with a focus on «Data Analysis». He does research on the development of new econometric methods at the Swiss Institute for Empirical Economic Research.
Michael Knaus: Michael advises on data analysis using econometric methods, such as linear and non-linear regressoins, esmi-parametric and non-parametric estimation methods, and machine learning methods. A second focus is the consulting on research designs with the goal of causal inference. Michael is Assistant Professor at the Swiss Institute for Empirical Economic Research on topics of causal machine learning with applications in the fields of labour, education, and sports economics.
Emanuel de Bellis: Emanuel advises on quantitative research methods. This includes the analysis of both primary data (e.g., from a laboratory, online, or field experiment) and secondary data (existing and frequently large datasets; also referred to as “big data”). He is Assistant Professor of Marketing and Research Methods at the Institute for Customer Insight (ICI-HSG) and conducts research in the area of consumer behavior. At the University of St. Gallen, Emanuel teaches various method courses at Bachelor, Master and PhD level.
Torsten Schmid: Torsten consults on qualitative research methods, including interview-based studies, case study research, ethnographic methods, Grounded Theory Method, process and practice research, cognitive and linguistic methods. He is assistant professor at the HSG. Torsten has led or contributed to multiple empirical studies. In his own research, he enjoys very much to engage in longitudinal studies of strategic change at large firms. He teaches qualitative methods at this and other universities in Switzerland and Germany (Master’s level and PhD-level) and also publishes in this area.