Yuri Kulchitsky
- Senior Lecturer, Project Team Manager:Faculty of Urban and Regional Development / Vysokovsky Graduate School of Urbanism
- Programme Co-head:Urban Development and Spatial Planning
- Yuri Kulchitsky has been at HSE University since 2014.
Education
- 2018
Master's in Applied Mathematics and Information Science
HSE University - 2016
Bachelor's in Economics
HSE University
Continuing education / Professional retraining / Internships / Study abroad experience
- Advanced training: “Financial modeling in PPP projects: practical aspects”, National Center for PPP, November 2021
- Advanced training: “Management of non-core and inefficient real estate objects”, National Research University Higher School of Economics, November-December 2021
Courses (2023/2024)
- Mathematical Methods for Urban Studies (Master’s programme; Faculty of Urban and Regional Development; 1 year, 2 semester)Rus
- Mentor's Seminar "Urban Planning" (Master’s programme; Faculty of Urban and Regional Development; 2 year, 1-3 module)Rus
- Mentor's Seminar "Urban Planning and Economics" (Master’s programme; Faculty of Urban and Regional Development; 1 year, 1-4 module)Rus
Programming for Urban Analytics (Master’s programme; Faculty of Urban and Regional Development; field of study "07.04.04. Градостроительство", field of study "07.04.04. Градостроительство", field of study "07.04.04. Градостроительство"; 2 year, 1, 2 module)Rus
- Programming for Urban Analytics (Mago-Lego; 1, 2 module)Rus
- Programming for Urban Analytics (Master’s programme; Faculty of Urban and Regional Development; 1 year, 2 semester)Rus
- Programming for Urban Data Analysis. Advanced Level. (Bachelor’s programme; Faculty of Urban and Regional Development; 5 year, 1, 2 module)Rus
- Project Seminar "Pre-project Analytics and Development of Concepts of Territorial Development Projects" (Master’s programme; Faculty of Urban and Regional Development; 1 year, 1-4 module)Rus
Urban Economics (Master’s programme; Faculty of Urban and Regional Development; field of study "07.04.04. Градостроительство", field of study "07.04.04. Градостроительство", field of study "07.04.04. Градостроительство", field of study "07.04.04. Градостроительство"; 1 year, 1-3 module)Rus
- Past Courses
Courses (2022/2023)
- Introduction to Artificial Intelligence (Bachelor’s programme; Faculty of Urban and Regional Development; 4 year, 4 module)Rus
- Machine Learning: Basic Concepts (Bachelor’s programme; Faculty of Urban and Regional Development; 4 year, 4 module)Rus
- Mathematics and Statistics (Bachelor’s programme; Faculty of Urban and Regional Development; 1 year, 1-4 module)Rus
Programming for Urban Analytics (Master’s programme; Faculty of Urban and Regional Development; field of study "07.04.04. Градостроительство", field of study "07.04.04. Градостроительство", field of study "07.04.04. Градостроительство"; 2 year, 1, 2 module)Rus
- Программирование для анализа городских данных (Mago-Lego; 1, 2 module)Rus
Urban Economics (Master’s programme; Faculty of Urban and Regional Development; field of study "07.04.04. Градостроительство", field of study "07.04.04. Градостроительство"; 1 year, 1-3 module)Rus
Urban Public Finances (Master’s programme; Faculty of Urban and Regional Development; field of study "07.04.04. Градостроительство", field of study "07.04.04. Градостроительство"; 2 year, 1, 2 module)Rus
Courses (2021/2022)
- Mathematics and Statistics (Bachelor’s programme; Faculty of Urban and Regional Development; 1 year, 1-4 module)Rus
Programming for Urban Analytics (Master’s programme; Faculty of Urban and Regional Development; field of study "07.04.04. Градостроительство", field of study "07.04.04. Градостроительство"; 2 year, 1, 2 module)Rus
Urban Economics (Master’s programme; Faculty of Urban and Regional Development; field of study "07.04.04. Градостроительство", field of study "07.04.04. Градостроительство"; 1 year, 1-3 module)Rus
Courses (2020/2021)
- Mathematics and Statistics (Bachelor’s programme; Faculty of Urban and Regional Development; 1 year, 1-4 module)Rus
- Programming for Urban Analytics (Master’s programme; Faculty of Urban and Regional Development; 2 year, 1, 2 module)Eng
Courses (2019/2020)
- Mathematics and Statistics (Bachelor’s programme; Faculty of Urban and Regional Development; 1 year, 1-4 module)Rus
- Programming for Urban Analytics (Master’s programme; Faculty of Urban and Regional Development; 2 year, 1, 2 module)Eng
Publications3
- Article Kotov E., Goncharov R., Kulchitsky Y., Molodtsova V., Nikitin B. Spatial Modelling of Key Regional-Level Factors of Covid-19 Mortality In Russia // Geography, Environment, Sustainability. 2022. Vol. 15. No. 2. P. 71-83. doi
- Article Замятина Н. Ю., Котов Е. А., Гончаров Р. В., Бурцева А. В., Гребенец В. И., Медведков А. А., Молодцова В. А., Клюева В. П., Кульчицкий Ю. В., Миронова Б. А., Никитин Б. В., Пилясов А. Н., Поляченко А. Е., Потураева А. В., Стрелецкий Д. А., Шамало И. А. Оценка потенциала жизнестойкости городов Российской Арктики // Вестник Московского университета. Серия 5: География. 2022. № 5. С. 52-65.
- Book Алов И. Н., Байдуж М. И., Гончаров Р. В., Замятина Н. Ю., Котов Е. А., Кульчицкий Ю. В., Молодцова В. А., Пузанов К. А. Российские регионы в пандемию COVID-19: fluctuat nec mergitur. Смоленск : Универсум, 2022.
Conferences
- 2021XXII Апрельская международная научная конференция по проблемам развития экономики и общества (Москва). Presentation: Типология городов России в контексте социально-экономических взаимодействий и эпидемиологической безопасности
13th World Congress of the RSAI. Presentation: Typology of the Russian and Arctic Regions Under the Conditions of COVID-19 Pandemic
Employment history
2014 - 2018: quantitative asset management, quantitative risk management (boutique hedge fund); investment analysis, focused on biotech market (small family office).
‘Expeditions Give Students a Chance to Experience Field Work’
The student research expedition of the Graduate School of Urbanism has concluded its field work in the Sovetsko-Gavansky region. The data collected will form the basis of a booklet about the main features of the region’s urban space. Other outcomes of the expedition include a preprint of a research publication and the creation a systematized database with metadata on collection methodology.