Brittany Goetsch: Can you tell us a little bit more about your work and areas of research interest?
Dr. Rahman: My name is Mohammed Mosiuri Rahman, and I’m from Bangladesh. I worked as an investigator on the USAID-funded D4I project. I’m an academic and my subject is Population Science and Human Resource Development at my university where I’m working as a professor. Because I’m a demographer, I’m interested in the whole field of FP, and especially secondary data.
Brittany Goetsch: How would you describe FP services in Bangladesh? Who or what influences this in the country?
Dr. Rahman: Although they’re [Bangladesh] trying to reduce their fertility rate, their fertility rate is still increasing. And as you may already be aware, FP is one of the important or contributing variables that can significantly lower high [fertility levels]. The population sector is where these reforms should be made in Bangladesh.
Previous research showed that certain young people’s unmet need for contraception—who do not want to have children—is a very critical issue. They don’t utilize contraception. Why don’t they utilize contraception—possibly because it’s not readily available? Why then is it not accessible? Perhaps the healthcare facilities that provide FP services are responsible. Where my interest lies is there. If we examine how prepared the FP services of the healthcare system are in different nations, this can be an important opportunity to tackle the goal of the desired total fertility rate for the governments of countries. That’s why I’m interested in this.
Brittany Goetsch: What drew you to the D4I model of research grants?
Dr. Rahman: To do high-quality research, we need some grant funding. It is impossible to collect data, analyze data, draw reliable conclusions, or carry out a successful policy level analysis without a grant. Fortunately, I noticed that the project for this funding matches my expertise [and interests].
Although secondary data are fantastic, they are typically not disclosed, examined, or merely documented, therefore funding [research utilizing secondary data] is another crucial issue that needs to be addressed.
I found that there is a good opportunity in writing this proposal because my field is heavily focused on FP. I’m interested in FP and especially this secondary data analysis part. I was inspired to apply for this grant because this grant is provided by USAID and [Data for Impact (D4I) project].