The Helmholtz Centre for Environmental Research (UFZ) with its 1,100 employees has gained an excellent reputation as an international competence centre for environmental sciences. We are part of the largest scientific organisation in Germany, the Helmholtz association. Our mission: Our research seeks to find a balance between social development and the long-term protection of our natural resources.
Microinsurance is seen as a promising tool against climate or disease-related income losses for people in developing countries. Despite various initiatives to promote these insurance policies, acceptance has so far been lower than expected. An important aspect that supports the diffusion of new developments is exchange within families, among friends or colleagues. The influence of social networks on insurance take-up has been empirically investigated in multiple studies. In the context of this bachelor or master thesis, these findings will be examined with the help of a model-based approach. Based on an existing agent-based model, possible ways of insurance diffusion will be analysed and compared. The bachelor or master project is supervised by the BMBF Junior Research Group POLISES (www.polises.de) and the affiliated DFG project, SEEMI (Social-Ecological Effects of Microinsurance).
Bachelor or Master Thesis: Effect of networks on the diffusion of microinsurance productsStart: as soon as possible
- Further develop an existing agent-based simulation model (in NetLogo) with regard to the above-mentioned question
- Analyse model dynamics and statistically evaluate the results, including by means of social network analysis
- Ideally: contribute to the publication of research outcomes
- Successful studies in systems sciences, economics, geography, mathematics, physics or comparable
- Interest in the interactions between humans and the environment (social-ecological systems, resource use, human decision making) and the willingness to delve into theoretical concepts of this field of research
- Programming skills and experience with mathematical/statistical software (e.g. NetLogo, R, C++, Java or comparable)
- Preferably: Experience in social network analysis
- Good command of English, analytical thinking skills
• Great insights into the work in a leading research institute
• Individual supervision with the possibility to contribute your own ideas
• an own topic to work on independently
• work in international teams in a well-equipped laboratory