Thesis topic proposal
Viktor Dörfler
Accessing Master-level Knowledge: Learning in the Bootstrap Era


Institute: Széchenyi István University, Győr
business and management
Doctoral School of Regional Sciences and Business Administration

Thesis supervisor: Viktor Dörfler
Location of studies (in Hungarian): Széchenyi István University
Abbreviation of location of studies: SZE

Description of the research topic:

We suggest adopting a transdisciplinary approach for understanding the process of searching for available and useful meta-knowledge. We expect following Popper’s tentative process of problem solving for exploring the role and usefulness of machine learning algorithms in validating new knowledge for consistency, relevance and applicability.

Required language skills: English
Number of students who can be accepted: 2

Deadline for application: 2019-12-31

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