Abstract
Irina Abankina — Director, Institute for Educational Studies, National Research University — Higher School of Economics. Address: National Research University — Higher School of Economics, 20, Myasnitskaya str., Moscow, 101000, Russian Federation. E-mail: abankinai@hse.ru
Fuad Aleskerov — Head, Department of Mathematics, Faculty of Economics, and Head, International Laboratory of Decision Choice and Analysis, National Research University — Higher School of Economics. Address: National Research University — Higher School of Economics, 20, Myasnitskaya str., Moscow, 101000, Russian Federation. E-mail: alesk@hse.ru
Veronika Belousova — Head, Department for Methodology of Budget Planning, Institute for Statistical Studies and Economics of Knowledge, National Research University — Higher School of Economics. Address: National Research University — Higher School of Economics, 20, Myasnitskaya str., Moscow, 101000, Russian Federation. E-mail: vbelousova@hse.ru
Leonid Gokhberg — Director, Institute for Statistical Studies and Economics of Knowledge, and First Vice-Rector, National Research University — Higher School of Economics. Address: National Research University — Higher School of Economics, 20, Myasnitskaya str., Moscow, 101000, Russian Federation. E-mail: lgokhberg@hse.ru
Kirill Zinkovsky— Deputy Director, Institute for Educational Studies, National Research University — Higher School of Economics. Address: National Research University — Higher School of Economics, 20, Myasnitskaya str., Moscow, 101000, Russian Federation. E-mail: kzinkovsky@hse.ru
Sofya Kiselgof —Lecturer, Department of Mathematics, Faculty of Economics, National Research University — Higher School of Economics. Address: National Research University — Higher School of Economics, 20, Myasnitskaya str., Moscow, 101000, Russian Federation. E-mail: skiselgof@hse.ru
Sergey Shvydun — Research Assistant, International Laboratory of Decision Choice and Analysis, National Research University — Higher School of Economics. Address: National Research University — Higher School of Economics, 20, Myasnitskaya str., Moscow, 101000, Russian Federation. E-mail: shvydun@hse.ru
Over the past decades due to increasing economic pressure and rising demands by government and society, the organizational landscape of higher education is changing while university activities become more diversified. The focus of public support is shifting from funding current activities of universities towards rewarding outcomes. There are, as a result, many strategies to adapt and develop universities in this changing environment. For example, emerging typologies for structuring a network of higher education institutions (HEIs) taking into account their diversity are at the forefront in many countries of agendas for greater efficiency in higher education. We advance a typology for HEIs in Russia taking into account indicators of research and teaching activities. We present an overview of best practices for HEIs, some typologies, a set of indicators and mathematical tools for constructing a typology of Russian public HEIs. This typology is based on clustering the input (resource allocation) and output (performance) indicators that characterize academic and educational achievements of HEIs. The proposed classification differentiates types of universities and contains a decision tree that allows assigning universities to one category or another. It can be used as a basis for a comprehensive analysis of diverse Russian universities and for government policies to address each of the identified HEI types, depending on their characteristics.