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Regular version of the site
Language Proficiency
English
German
Contacts
E-mail:
SPIN-RSCI: 8848-9711
ORCID: 0000-0003-4879-0999
ResearcherID: E-1968-2015
Scopus AuthorID: 57193603826
Supervisors
L. Gokhberg
K. Fursov
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Alina Kadyrova

  • Alina Kadyrova has been at HSE University since 2014.

Education

  • 2016

    Master's
    HSE University

  • 2014

    Bachelor's in Applied Mathematics and Information Science
    HSE University

Continuing education / Professional retraining / Internships / Study abroad experience

2017 - summer school on using GATE software for natural language processing purposes, University of Sheffield: https://gate.ac.uk/wiki/TrainingCourseJune2017/

2016, August - internship at Joahheum Research https://www.joanneum.at/

2013, July - summer school at Zagreb School of Economics on Econometrics and International Marketing

Young Faculty Support Program (Group of Young Academic Professionals)
Category "New Researchers" (2016)

Awards

Enhanced state scholarship for research work (2015)

Publications6


Conferences

  • 2018
    XVI Triple Helix Conference (Манчестер). Presentation: Quarduple Helix and Social Innovations: Evidence from Five European Cities
  • 2017
    Alliance Manchester Business School Research Conference (Манчестер). Presentation: Social Innovations and Development: Understanding the Links
  • Innovation Boot Camp / Conference for young scholars ‘Innovation, Institutions, and Governance (Таллин). Presentation: Empirical investigation of social innovations in Europe
  • 2016

    The 5th international conference on Analysis of Images, Social Networks, and Texts (AIST) (Екатеринбург). Presentation: Evolution of advanced technology studies: searching for a communication core

A series of ISSEK-authored papers published in Scientometrics

In 2017 a leading international journal in the field, Scientometrics, published six papers by staff members of the HSE Institute for Statistical Studies and Economics of Knowledge describing application of various sociology of science and Foresight techniques for the purposes of studying driving forces and directions of scientific development.