The Youth Development Program is designed to support the younger generation, particularly in education and career development, addressing the void left by the absence of a formal education environment since 2021.
Intensive research training comprises three main components: (1) Fundamental training in statistics and research methodology, (2) Practical data analysis using STATA, and (3) Mentoring and support to publish on the Inya Economics platform.
The intensive research training aims to equip young researchers with advanced research skills to enter the job market and further their educational development. It provides comprehensive knowledge in statistics, research methodology, and data analysis, enabling participants to produce tangible academic outputs within four months. The training consists of three phases, each with flexible timing to accommodate latecomers interested in academic publications, provided they demonstrate their research background. Recruitment of students will be done through interviews with YDP program members to ensure commitment and availability until the final publication stage. Participants are required to have a laptop and reliable internet connection. Security measures, including end-to-end encryption applications like Zoom and Telegram, will be implemented to safeguard trainers and trainees. The training will be conducted in the Myanmar language. Training sessions will be recorded for the creation of short instructional videos for the research community, with video and audio quality being crucial. Upon completion, participants will publish academic works on Inya Economics platforms, with ongoing assessment and evaluation to enhance program efficacy and design.
Phase 1- Research Training
This course introduces students to the foundation of research design, methodologies, and methods in social sciences and political science. In the first part of the course, students will learn a basic understanding of scientific research methods, emphasizing quantitative methodology and other essential topics such as the type of data and variables, data structure, and research ethics. The course will equip students with qualitative research traditions and methods. Then, the students must learn how to develop a research project, including the research problem, objectives, questions, and hypothesis. Moreover, the course will cover the type of variables and data, a sampling method, and survey questionary development.
Phase 2- Introduction to Data Analysis Using STATA
This course introduces students to the foundation of data analysis using the STATA Software wildly used in research. The course will cover basic data management, and data analysis such as correlational, regression analysis, and data visualization. Students will learn how to interpret the regression results. Moreover, students will have the opportunity to do regression diagnosis analysis.
Phase 3 – Mentorship Training for Researchers
Researchers will choose their research topics through consultations with mentors during seminars. The lead mentor and other mentors will oversee the paper’s progress, providing weekly consultations to guide the researchers towards publication.
15 podcasts aimed at understanding research methodology,
tailored for young researchers and employees of NGOs and
INGOs who have limited time to attend online classes.
2 podcasts aiming to explore business ideas, navigate the challenges of the Myanmar business environment, and draw inspiration from leaders in the SME sector.
This seminar is Inya Economics’ first attempt to introduce public policy to Myanmar youth. The 2-day seminar aims to impart knowledge on developing and designing public policy, distinguishing between different policy approaches and tools, and crafting a policy memo.
There is a significant knowledge gap regarding public policy in Myanmar, with a lack of institutions focusing on this study area. This will be the first batch of the public policy short course aimed at understanding the basics of the policy process and policy design, with a focus on critical policy studies.
