KAZAKHSTAN
SCHOOL OF SOCIOLOGISTS
SOCIOLOGY
LAB
About the
School
"Kazakhstan Sociology Lab"
Modern social sciences actively utilize various methods of algorithmic data analysis for diverse purposes. For example, they are used to analyze patterns of public opinion polarization through text processing, to study factors determining the career success of school graduates, or to predict locations of future crimes.
Within the framework of the "Kazakhstan Sociology Lab" School, we aim to help young researchers from the Republic of Kazakhstan acquire advanced methods of social sciences and become high-class experts in their respective fields.
The goal of the School is to develop participants' competencies and skills in working with modern methods of data collection and analysis. We will also study theoretical questions that researchers in social sciences have been addressing in recent decades.
Within the framework of the "Kazakhstan Sociology Lab" School, we aim to help young researchers from the Republic of Kazakhstan acquire advanced methods of social sciences and become high-class experts in their respective fields.
The goal of the School is to develop participants' competencies and skills in working with modern methods of data collection and analysis. We will also study theoretical questions that researchers in social sciences have been addressing in recent decades.
The training will be conducted in a blended format, combining both offline and online modes. As a result of their work, participants (under the guidance of mentors) will be expected to present policy-oriented research on socially significant issues.
Opportunities for School Participants
Graduates of the School will possess significant competitive advantages. We expect that this will provide a strong boost to the career growth of the participants.
- Modern ApproachesIn the School, participants will become acquainted with new methods and theories widely applied in contemporary social sciences.
- NetworkingThe School serves as a platform for finding like-minded individuals and offers the opportunity to meet experts in your areas of interest.
- Experience in Policy ResearchUpon completing the School, participants will be expected to conduct policy-oriented research, the results of which will be of interest to both the media and decision-makers.
The School will take place from February to October 2023, with a break for vacation in August.
The School's program is divided into 4 modules, each of which will be delivered in a blended format. At the beginning of each module, there will be several days of in-person classes, during which participants will attend intensive courses. The remaining part of the module will be conducted online (participants will be required to dedicate a minimum of 15 hours of free time per week for full-time study). Each session will last for 1.5 hours.
Participation in the School is free of charge.
Participation in the School is free of charge.
Upon completing the training in the School, participants will receive a Certificate of Completion.
School Program
February 4-5
February 4-5
School Opening
Modern Sociological Theory (Serebrennikov D.)
Introduction to Research Design (Rodionov A.)
Introduction to R Programming (Serebrennikov D.)
Open Data and Visualization (Sarsekeyeva A.)
Public Speaking Skills Training
Introduction to Research Design (Rodionov A.)
Introduction to R Programming (Serebrennikov D.)
Open Data and Visualization (Sarsekeyeva A.)
Public Speaking Skills Training
February 6
-
March 28
February 6
-
March 28
Module 1
Workshop:
Web Scraping and Data Acquisition
Courses:
Introduction to Statistics (Medeuov D.)
Introduction to R Programming (Serebrennikov D.)
Web Scraping and Data Acquisition
Courses:
Introduction to Statistics (Medeuov D.)
Introduction to R Programming (Serebrennikov D.)
April 8
-
May
April 8
-
May
Module 2
Courses:
- Research design (Rodionov A.)
- Qualitative Methods (Semyonov A.)
June
-
July
June
-
July
Module 3
Presentation of Participants' Projects
Courses:
Courses:
- Data mining (Serebrennikov D.)
- Spatial Analysis (Valitov K.)
- Introduction to NLP (Natural Language Processing) (Sosnovskaya Y.)
- Introduction to SNA (Social Network Analysis) (Medeuov D.)
- Introduction to Causal Inference and Survey Techniques (Rodionov A.)
September
-
October
September
-
October
Module 4
Courses:
- Modern Marketing Research (Verlina Y.)
- Media Analytics using R (Seleznyov A.)
- Publicity for Researchers
- Work in Project Groups
October
October
School Completion
Project Presentations
Teachers and Mentors
- Aliya SarsekeyevaSchool Director
- Dmitry SerebrennikovScientific Director of the School
Researcher at IPP EU SPb - Adil RodionovScientific Director of the School
Ph.D. in Sociology - Andrey SemyonovCandidate of Political Sciences
National Research University Higher School of Economics (NRU HSE)
- Alexey SeleznyovHead of Analytics Department
Netpeak - Yulia VerlinaHead of Consulting, Research, and Marketing Projects at the Institute of Modern Media (MOMRI)
- Darkhan MedeuovPh.D. Candidate at Leipzig University
Lecturer at Nazarbayev University - Karen ValitovUtrecht University
- Yana SosnovskayaNational Research University Higher School of Economics (NRU HSE), IPP EU SPb
- Otar ElmiraPh.D in Sociology
- Gulzhan TajibaevaPh.D in Sociology
- Regina AyupovaPhD candidate in Sociology
News and Event Schedule
Contacts:
+7 775 476 33 77
project-science@elbasyacademy.kz
Kazakhstan, Astana, Mangіlіk Еl 55/13, 1st floor
project-science@elbasyacademy.kz
Kazakhstan, Astana, Mangіlіk Еl 55/13, 1st floor
© 2023 Kazakhstan Sociology Lab
Terms of use
Requisites
КОРПОРАТИВНЫЙ ФОНД "ФОНД "EL UMITI"
Юридический адрес:
010000, Республика Казахстан, г.Астана, ул.Бокейхана, 1
Фактический адрес:
010000, Республика Казахстан, г.Астана, Пр.Мангилик ел, 55/13, блок С.2.1.
БИН: 190940020707
Счет: KZ60601A871005960391
Название банка: филиал АО «HalykBank» г. Астана
БИК: HSBKKZKX
Юридический адрес:
010000, Республика Казахстан, г.Астана, ул.Бокейхана, 1
Фактический адрес:
010000, Республика Казахстан, г.Астана, Пр.Мангилик ел, 55/13, блок С.2.1.
БИН: 190940020707
Счет: KZ60601A871005960391
Название банка: филиал АО «HalykBank» г. Астана
БИК: HSBKKZKX