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Download CV (PDF, 155 Kb)
SPIN-RSCI: 8590-6424
ORCID: 0000-0002-7022-3037
ResearcherID: I-3864-2014
Scopus AuthorID: 8706675700
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Supervisor
E. Kardanova
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Maxim Skryabin

  • Maxim Skryabin has been at HSE since 2019.

Responsibilities

  • Application of mathematical modeling and data science methods, including machine learning and artificial intelligence, for psychometrical research (computational psychometrics)
  • Analytical or expert work according to the request of the Institute of Education management
  • Presentation of research results at Russian and international conferences,  external and internal seminars of the Institute of Education
  • Advising graduate students of the "Measurements in Psychology and Education" and "Evidence-Based Educational Policy" master programs, as well as employees of the Institute of Education on psychometrical research and statistical data analysis

Education and Degrees

  • 2010

    Degree in Psychology
    Moscow City Teacher Training University

  • 2009

    Candidate of Sciences* (PhD)

  • 2006

    Degree in Applied Mathematics
    Moscow Aviation Institute

* Candidate of Sciences
According to the International Standard Classification of Education (ISCED) 2011, Candidate of Sciences belongs to ISCED level 8 - "doctoral or equivalent", together with PhD, DPhil, D.Lit, D.Sc, LL.D, Doctorate or similar. Candidate of Sciences allows its holders to reach the level of the Associate Professor.

Publications6

Conferences

  • 2019
    XX Апрельская международная научная конференция по проблемам развития экономики и общества (Москва). Presentation: Симпозиум «Благополучие и социально-экономическое развитие». Круглый стол Psychological Wellbeing in the Digital Age
  • 2018
    Международная конференция по новым образовательным технологиям #EdCrunch Томск (Томск). Presentation: Аналитика и данные для трансформации образования
  • Международная конференция по новым образовательным технологиям EdCrunch 2018 (Москва). Presentation: Как данные помогают улучшать процесс обучения? (панельная дискуссия)
  • Международная научная конференция "eLearning Stakeholders and Researchers Summit 2018" (eSTARS) (Москва). Presentation: Адаптивное обучение как зонтичный термин
  • 2017
    Четвертая ежегодная международная конференция "Образование и мировые города: Smart Learning и глобальные университеты" (Санкт-Петербург). Presentation: Учебная аналитика: опыт Stepik
  • European MOOCs Stakeholders Summit 2017 (Мадрид). Presentation: Types of Dropout in Adaptive Open Online Courses
  • The 10th International Conference on Educational Data Mining (EDM 2017) (Ухань). Presentation: Modeling Network Dynamics of MOOC Discussion Interactions at Scale
  • IV Международная конференция по новым образовательным технологиям#EdCrunch 2017 (Москва). Presentation: Что дает новое поколение адаптивного обучения вузам и организациям? (дискуссия)
  • Город IT (Томск). Presentation: Польза IT-специалистам от онлайн-платформ и онлайн-курсов
  • Международная научная конференция «eLearning Stakeholders and Researchers Sammit 2017» (Москва). Presentation: Психометрика в реальном времени
  • 2016
    Международная конференция по новым образовательным технологиям EdCrunch 2016 (Москва). Presentation: Для чего нужна учебная аналитика?
  • 2015
    Higher Education Planning in Asia 2015 (Сингапур). Presentation: Joint international educational programs with European and Asian universities: a case study of ITMO University

What Do Digital Traces Have to Offer for the Study of Psychological Wellbeing?

The round table on ‘Psychological Wellbeing in the Digital Age’ brought together a range of scholars and one industry professional to talk about how a user’s digital footprint—or ‘digital traces’—can be used to discern a person’s psychological state, predict their behavior, and, potentially, even improve their psychological wellbeing.