Introduction
Dear Prof. Marti Hearst,
I would like to formally welcome you to this special thesis outline.
My name is André-Paul Widera and I hereby declare my intention to write my Master’s thesis with you in the course of the Research and Teaching Fellowship between UC Berkeley and the MCI.
To that end, I specifically designed this digital presence and carefully considered how best to share my ideas on making a meaningful impact in research with you.
Without further ado, please allow me to present my thoughts on this.

The topic I zealously intend to explore.

Description. In collaboration with Prof. Dr. Christian Ploder, this paper presents a comprehensive case study recently submitted to ICAI-TEMS — a newly launched conference under the flagship conference of the IEEE.
Why I am eager to engage in research
Driven by genuine passion for education and grounded in both personal and professional experience, I embarked on research to deepen my understanding of why companies encounter impeding effects when transforming their business digitally.
What I have already contributed to research
To apply theory, I conducted a five-month case study in a German SME during my Bachelor’s according to Yin (2018). While this deepened my understanding of hindering factors in digital transformation processes and led to two paper submissions (KMO, ICAI-TEMS) with Prof. Dr. Christian Ploder, I remain aware that I have only begun to uncover the deeper layers of the phenomenon.
How I am going to approach research refinement
To build upon my previously conducted research, I have identified several methodological enhancements for my Master’s thesis, including
- transforming my initial literature review (Bachelor’s thesis) into a systematic literature review or meta-analysis to minimize selection bias,
- expanding my single-case study into a multiple-case study to gain a broader and more nuanced perspective on the phenomenon, and
- employing a directed cyclic graph algorithm that leverages organizational and graph theory to model and analyze interdependencies among hindering factors within organizations.
Against this backdrop, I prompted the formulation of the following research question for my Master’s thesis:
Why do hindering factors occur that paralyze digital transformation processes?
Why you are the right supervisor.
Computational linguistics as an analytical tool
In particular, I have considered strengthening Mayring’s (2000) qualitative content analysis by integrating computational linguistic techniques, as underscored by Yin’s (2018) emphasis on minimizing investigator bias throughout the research process.
One central approach within the qualitative content analysis is the deductive category application at a nominal scale level, which involves the use of
- precise category definitions,
- anchor examples, and
- explicit coding rules
to determine “exactly under what circumstances a text passage can be coded with a category”, striving for semantic accuracy (Mayring, 2000).
With the advancement of machine learning techniques in computational linguistics, there is increasing potential to algorithmically replicate category-based coding procedures.
The significance of your domain expertise
In addition to your prior contributions to the algorithmic extraction of causal relationships from textual data to automatically generate questions (Stasaski et al., 2021), your engagement in both linguistics — such as text mining and semantic relations — and machine learning further underscores your commitment to cross-disciplinary integration.
Based upon this, I believe that a collaboration based on the convergence of our respective expertise has the potential to be mutually enriching and to contribute meaningfully to this line of inquiry.

Description. Using Python and NetworkX within Visual Studio Code, I tentatively conducted a generation of an image that visualizes the interrelationships among all hindering factors identified through expert interviews from my previously carried out case study.
Summary
Having had the opportunity to show you that I am
- deeply committed to advancing high-quality research, driven by a genuine passion for academia, as demonstrated by the submission of two papers during my current tenure as an active researcher, and
- eager to pursue research under your co-advisorship, given your expertise and the strong alignment of our complementary research interests,
this underscores my strong belief that collaborating with you on my Master’s thesis as part of the aforementioned Research and Teaching Fellowship between UC Berkeley and the MCI will not only be highly beneficial — both academically and in practice — but also satisfy my eagerness to
detect the inmost force, which binds the world, and guides its course.
— Faust, Johann Wolfgang von Goethe and (translated by) Bayard Taylor
Please do not hesitate to reach out if you require any additional information or documentation!
Yours sincerely,
André-Paul Widera.

References
Mayring, P. (2000). Qualitative Content Analysis. Forum: Qualitative Social Research [On-Line Journal], 1.
Stasaski, K., Rathod, M., Tu, T., Xiao, Y., & Hearst, M. A. (2021). Automatically Generating Cause-and-Effect Questions from Passages. In J. Burstein, A. Horbach, E. Kochmar, R. Laarmann-Quante, C. Leacock, N. Madnani, I. Pilán, H. Yannakoudakis, & T. Zesch (Eds.), Proceedings of the 16th Workshop on Innovative Use of NLP for Building Educational Applications (pp. 158–170). Association for Computational Linguistics.
Yin, R. K. (2018). Case study research and applications: Design and methods (Sixth edition). SAGE.