Thought Piece: Linh Elysia Do

By: Linh Elysia Do

Growing up, I’ve always believed that the people around us influence the way we think, shape who we are and especially to see the world. The communities we are part of can either encourage us to become better versions of ourselves or make people feel disconnected and unheard. That is why creating supportive environments matters so much to me. When people feel connected to a community that values collaboration, encouragement and understanding, it creates opportunities not only for individual growth, but for collective growth as well.

As a Computer Science student at the University of Utah with a minor in Information Systems, I’ve become especially interested in how data and technology can improve communication and strengthen communities. Through working with social media and digital platforms, I’ve learned that analytics can reveal much more than performance numbers. Data can help us understand how people engage, what information reaches them most effectively, and how organizations can better connect with their audiences.

“Data becomes meaningful when it helps us better understand and support people."

I enjoy analyzing engagement trends, audience behavior and digital interaction patterns because it allows me to identify what creates genuine connection within a community. Social media is often viewed as fast-paced and temporary, but I see it as a powerful tool for understanding people and building stronger relationships. When organizations pay attention to how communities respond, interact, and engage online, they are better able to create communication that feels relevant, inclusive and impactful.

This perspective is one of the reasons I was drawn to The Center for Economic Opportunity & Belonging. The organization’s mission reflects the importance of creating spaces where individuals feel supported and valued. I am excited about the opportunity to contribute my skills in data analytics, communication, and digital strategy to help strengthen outreach and community engagement efforts. As I continue developing my interests in data analytics and machine learning, I hope to use technology not only to solve technical problems but also to better understand human connections and community needs. I believe strong communities are built when people support one another, share opportunities and work together toward growth that benefits everyone.