Research Training

Our Research Training Programs

Research Bootcamp: From Research Idea to Publication

A comprehensive training program designed to guide participants through the complete research process.
Participants will learn:

  • Identifying research gaps and developing research questions
  • Literature searching and evidence synthesis
  • Research design and methodology selection
  • Data collection and management
  • Data analysis and interpretation
  • Scientific manuscript preparation
  • Publication strategies and research dissemination
Outcome: Participants gain practical skills for designing, conducting, and publishing high-quality research.

Scientific Writing:
From Proposal Development to Manuscript Publication

This training focuses on developing effective scientific communication skills required for academic and research success.
Key components include:

  • Research proposal development
  • Grant proposal writing fundamentals
  • Scientific manuscript structure and reporting standards
  • Writing effective abstracts, introductions, and discussions
  • Journal selection and submission strategies
  • Responding to reviewer comments
Outcome: Participants develop the ability to communicate research ideas and findings effectively for academic and professional audiences.

Fundamentals of Research Methodology

A foundational course designed to develop a strong understanding of scientific research principles.
Topics include:

  • Quantitative and qualitative research approaches
  • Study designs and their applications
  • Sampling methods and participant recruitment
  • Measurement tools and variables
  • Research ethics and participant protection
  • Bias, validity, and reliability in research
Outcome: Participants build a strong foundation for conducting scientifically rigorous research.

Data Collection Tools and Research Management

This training provides practical skills for designing and implementing effective data collection strategies.
Training areas include:

  • Questionnaire development
  • Digital data collection platforms
  • Survey design principles
  • Interview and focus group techniques
  • Data quality assurance
  • Research data management
Outcome: Participants learn how to collect reliable and high-quality research data.

Data Analysis with SPSS

A practical, hands-on training program introducing statistical analysis using SPSS.
Topics include:

  • Data entry and management
  • Descriptive statistics
  • Hypothesis testing
  • Interpretation of statistical outputs
  • Research ethics and participant protection
  • Presenting research findings
Outcome: Participants gain essential statistical skills for analyzing and interpreting health research data.

Machine Learning in Health Research

An advanced training program introducing the application of artificial intelligence and machine learning in health research.
Training areas include:

  • Fundamentals of machine learning
  • Data preparation and feature selection
  • Predictive modeling approaches
  • Applications in disease prediction and public health
  • Evaluating machine learning models
  • Ethical considerations in AI-driven research
Outcome: Participants develop foundational knowledge to apply AI-driven approaches in modern health research.

Who Can Join?

BIIRAD research training programs are designed for:

  • Undergraduate and
  • postgraduate students
  • Early-career researchers
  • Healthcare professionals
  • Public health practitioners
  • Academic faculty members
  • Research enthusiasts

Our Commitment:
Through research training and mentorship, BIIRAD aims to strengthen scientific capacity, promote research excellence, and empower researchers to generate evidence that creates meaningful impact.
Learn. Research. Innovate. Impact.