Contact Information
- Name
- Danila Pavliuk
- Professional Title
- Research Assistant at Institute of Education, HSE University
- dpavlyuk@hse.ru
- Location
- Moscow, Russia
- University Profile
- HSE University
Higher education researcher studying doctoral education, supervision, and institutional conditions for early-career researchers. I combine quantitative analysis of surveys and digital traces with qualitative interview experience to understand how universities can make entry into research more supportive.
Position
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Research Assistant
Institute of Education, HSE University
Education
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HSE University
BA, Public and Municipal Administration
Publications
- (2026). Do thesis topics matter? How thesis topic characteristics relate to doctoral experience and self-confidence in defence. Higher Education. (link)
- , & Zhuchkova, S. (2025). Choosing to succeed? Insights into doctoral students' supervisor selection and its outcomes. PLOS ONE. (link)
- Zhuchkova, S., & (2024). Doctoral education as a priority? Improving doctoral education as part of Priority-2030 university development programmes. University Management: Practice and Analysis. (link)
- Gorbunova, E., Mayukova, E., Ovakimyan, E., & (2024). Difficulties of integration as a reason for dropout among student olympiad winners. Voprosy obrazovaniya / Educational Studies Moscow. (link)
Grants and Projects
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Russian Science Foundation, project No. 25-78-00146.
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Study of the functioning of Russian-language Wikipedia
Khamovniki Foundation for Social Research Support.
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Transformation of doctoral education in China and Russia
A joint research project of the Institute of Education at HSE University and the Institute of Education at Tsinghua University.
Conference Presentations
2026
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Quality in Postgraduate Research (QPR)
Presentation: Do thesis topics matter? How topic characteristics shape doctoral experience and confidence in defence
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Quality in Postgraduate Research (QPR)
Presentation: Coffee, “small favors”, and power: where should doctoral supervision draw the line? Evidence from paired surveys in Russia
2025
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2025 International Conference on Artificial Intelligence and Education (ICAIE)
Presentation: Practices and correlates of using generative AI in doctoral education: a comparative case study in China and Russia
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The European Conference on Educational Research (ECER 2025)
Presentation: Previous Interactions Matter: Exploring the Link between Advisors’ Reasons to Supervise and Doctoral Student Outcomes
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XVI International Conference of Higher Education Researchers
Presentation: Reform of academic certification in Russia: assessing dissertation quality in organizations with the right to award academic degrees independently
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XVI International Conference of Higher Education Researchers
Presentation: Where is the boundary? Informal relationships between doctoral students and supervisors in Russian universities
2024
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XV International Russian Conference of Higher Education Researchers “Higher education: balancing efficiency and well-being”
Presentation: What does it mean to be a doctoral supervisor?
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III Tomsk International Forum “Transformation of Education”
Presentation: The landscape of doctoral supervision in Priority-2030 universities: requirements for supervisors and their declared functions
2023
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XIV International Conference of Higher Education Researchers “Student experience in the modern university: from applicant to graduate”
Presentation: Old challenges and new solutions: where is doctoral education moving in Priority-2030 universities?
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ERAS International Conference and WERA Focal Meeting 2023
Presentation: Successful Without Experience: What Factors Assist PhD-Students Without an Academic Background Defend a Dissertation
Intellectual Property
| No. | Registration No. | Type | Title | Registration Details | Authors |
|---|---|---|---|---|---|
| 1 | 6.0122-2025 | Database | Database of scientometric productivity indicators of doctoral degree applicants in Russia for 2015-2024, obtained through automated analysis of candidate dissertation abstracts and aggregated at the organizational level. | Danila M. Pavliuk |
Skills
# Research methods: survey data analysis, econometric modelling, quantitative content analysis, non-reactive digital traces, web scraping, and semi-structured interviews.
Languages
- Russian: Native
- English: Professional working proficiency
Interests
Higher education: doctoral education, supervision, early-career researchers, and university development programmes.
Identifiers
- ORCID: 0009-0006-5122-3652
- ResearcherID: LSL-6954-2024
- Google Scholar: profile