scispace - formally typeset
Search or ask a question
Author

Vasiliy Savvinov

Bio: Vasiliy Savvinov is an academic researcher from North-Eastern Federal University. The author has contributed to research in topics: Higher education & Digital transformation. The author has an hindex of 1, co-authored 2 publications receiving 2 citations.

Papers
More filters
Journal ArticleDOI
01 Jan 2021
TL;DR: In this article, the authors present the case of developing a program for the digital transformation of higher education in the northern territories of the Russian Federation through the example of the North-Eastern Federal University.
Abstract: The article presents the case of developing a program for the digital transformation of higher education in the northern territories of the Russian Federation through the example of the North-Eastern Federal University. It describes the principles and mechanisms of digitalization of basic processes in conditions of limited resources and remoteness from the leading scientific, educational and cultural centres. The authors suggest the development of a digital educational ecosystem to provide high quality and accessible education in remote areas.

2 citations

Journal ArticleDOI
01 Jan 2021
TL;DR: In this article, the authors present a comparative analysis of strategic programs to manage the development of universities in the North of Russia and the northern countries of Europe and America in the context of global changes and growing uncertainty of the environment.
Abstract: The article reveals the experience of the implementation of the Sustainable Development Goals in Russian universities based on the case study of North-Eastern Federal University (NEFU). The article presents a comparative analysis of strategic programs to manage the development of universities in the North of Russia and the northern countries of Europe and America in the context of global changes and growing uncertainty of the environment. It shows NEFU’s groundwork for the implementation of the sustainable development model of the northern territories and justifies the key principles and the directions of change in the academic and innovative activities of the university related to the implementation of the UN Sustainable Development Goals.

Cited by
More filters
01 Jan 2017
TL;DR: This chapter will provide a systematic review of user profiling techniques and approaches and present the results in developing a psycho-cognitive profile of the user/patient and the details and challenges of implementing the recommendation system and services.
Abstract: Medicine is undergoing a revolution that is transforming the nature of healthcare from reactive to preventive. The changes are catalyzed by a new systems approach to disease which focuses on integrated diagnosis, treatment and prevention of disease in individuals. This will replace our current mode of medicine over the coming years with a personalized predictive treatment. While the goal is clear, the path is fraught with challenges. The p-medicine EU project aspires to create an infrastructure that will facilitate this translation from current medical practice to personalized medicine. This Chapter focus on current research activities related to the design and implementation of an intelligent patient empowerment platform and its services. The focus of our work concerns the nature of the interaction between health institutions and individuals, particularly the communicative relation between physicians and patients, the ways of exchanging information, the nature of the information itself and the information assimilation capabilities of the patients. Our practical focus is the domain of cancer patients, whether in normal treatment or participating in clinical trials. The ultimate objective is to implement a smart environment (recommender system) able to act as a decision support infrastructure to support the communication, interaction and information delivery process form the doctor to the patient. A prerequisite of personalized delivery of information and intelligent guidance of the patient into H. Kondylakis ! L. Koumakis ! M. Tsiknakis (&) ! K. Marias ! E. Genitsaridi Computational Medicine Laboratory, FORTH-ICS, Heraklio, Crete, Greece e-mail: tsiknaki@ics.forth.gr M. Tsiknakis Department of Applied Informatics and Multimedia, Technological Educational Institute, Heraklion, Crete, Greece G. Pravettoni ! A. Gorini Centro Interdipartimentale di Ricerca e Intervento sui Processi Decisionali (IRIDe), Università degli Studi di Milano, Milan, Italy K. Mazzocco Department of Decision Sciences, Milan and eCancer—Cancer Intelligence Limited, Bocconi University, Milan, Italy G. A. Tsihrintzis et al. (eds.), Multimedia Services in Intelligent Environments, Smart Innovation, Systems and Technologies 25, DOI: 10.1007/978-3-319-00375-7_4, ! Springer International Publishing Switzerland 2013 39 his/her treatment plans is our ability to develop an appropriate and accurate profile of the user. In the p-medicine project we focus on modeling and profiling the psychocognitive capabilities of the patient based on questionnaires and other information features and behaviors extracted from a personal health record of the patient. In this chapter we will provide a systematic review of user profiling techniques and approaches and present our results in developing a psycho-cognitive profile of the user/patient. Subsequently we will describe the details and challenges of implementing the recommendation system and services using a combination of methods to counter-balance the intrinsic weaknesses in various algorithmic approaches. We will review solutions that have combined demographic user classes and content-based filters using implicit behavior and explicit preferences, collaborative filtering and demographic or collaborative filtering and knowledge-based filters. Finally, our approach will be fully described, which uses an adaptive user interface for the presentation of the e-consent, an ontology and a semantic web rule language to formally describe patient choices, and a reasoning engine to handle access and personalized delivery of pertinent disease related information.

38 citations

Posted Content
01 Jan 2020-Series
TL;DR: It is found that, over time, inequality within countries has increased substantially, and overlapping among countries, particularly in the upper part of the distribution has also increased quite substantially suggesting excellence is spreading among countries.
Abstract: This paper proposes the use of a new technique, the Stochastic Multicriteria Acceptability Analysis (SMAA), to evaluate education quality at school level out of the PISA multidimensional database. SMAA produces rankings with Monte Carlo Generation of weights to estimate the probability that each school is in a certain position of the aggregate ranking, thus avoiding any arbitrary intervention of researchers. We use the rankings in 4 waves of PISA assessment to compare SMAA outcomes with Benefit of Doubt (BoD), showing that differentiation of weights matters. Considering the whole set of feasible weights by means of SMAA, we then estimate multidimensional inequality in education, and we disentangle inequality into a ‘within’ and a ‘between’ country component, in addition to a component due to overlapping, using the multidimensional ANOGI. We find that, over time, inequality within countries has increased substantially. Overlapping among countries, particularly in the upper part of the distribution has also increased quite substantially suggesting excellence is spreading among countries.

12 citations