Md. Mominul Islam
Economics Researcher
Climate · Development · Inequality
Prospective PhD Researcher
Department of Economics
Jagannath University
Dhaka 1100, Bangladesh
Academic Activities & Achievements
Research & Publications · Data & Research Methods
Peer Review & Research Activity
Peer reviewer for international academic journals, including Current Psychology and SN Business & Economics (Springer Nature). Research Analyst, Consultant & Research Assistant (2019–present), with applied research, secondary data analysis, evidence reviews and consultancy work.
Research Methodology & Training
- Advanced Course on Research Methodology (ACRM), Institute of Education and Research, University of Dhaka (May–August 2026)
- Research Methodology Instructor for academic and professional learners (2026–present)
- Research Methodology Course on Structural Equation Modeling and Path Analysis using IBM AMOS (2026)
- Mastering SPSS: Real-World Data Analysis Projects (2026)
Awards & Recognition
- The Duke of Edinburgh’s International Award — Bronze Award (2014)
- Recognition for active service and programme coordination, Bangladesh Economic Association (2012)
- National Democracy Olympiad / Youth Ending Hunger programme coordination certificate (2013)
- Recognition for voluntary service at the 19th Biennial Conference of the Bangladesh Economic Association (2014)
Affiliations & Academic Engagement
- Bangladesh Economic Association
- Bangladesh Young Economists Association
- British Council Active Citizens network
- Contribution to the Sikkhangon education page of Daily Inqilab
Selected Professional Development
Professional workshops, conferences and research training include events organized by the Bangladesh Social and Economic Forum, Dhaka School of Economics, Bangladesh Economic Association, Yunus Centre and British Council.
Research Tools & Approaches
Applied econometric research, survey design and survey-weighted estimation, Stata, SPSS, Python, R, GIS/geospatial analytics, time-series and panel methods, and Difference-in-Differences (DiD) when design assumptions are credible.