Research

Research, to me, is about solving problems. I find joy in exploring solutions to social problems which catch my attention. Using literature review, data collection, and data analysis software such as Mendeley, Qualtrics, SPSS, Stata, and NVivo, I have managed research articles and conducted research on bullying and teamwork dynamics in various fields (engineering and social sciences). I have also reviewed a research article on machine learning methods used in improving learning (learning analytics). Currently, I am conducting research on workplace incivility in higher education environments.

My experience conducting research has taught me a number of lessons (few of them shared here):

1. Because research is unpredictable (e.g. data collection and data analysis not going as expected, surprising results, etc.), it is important to be flexible, to be patient, and to have an open mind when conducting research. 
2. It is also important to allow the literature review process to serve as a guide for what questions to explore. Sometimes, the questions researchers have in mind to investigate have already been answered by others. Replicating research without doing the due diligence of ensuring there is a valid reason for replication makes the research work futile.
3. Not everyone will buy into your research vision. Go at it anyway, even if it means going solo. The vision is yours and yours to explore. There will definitely be others who will resonate with your vision when the research work is eventually published. 

Below is a summary of the relevant research work I have done so far, individually and collaboratively.