How to begin your research from scratch | Step-by-step process explained

Starting research from scratch becomes manageable once the process is broken into clear choices: pick an area that genuinely interests you, align it with the resources you can access, and choose the right path—teamwork, solo work, experimental methods, or computer-based and review-paper research—to match your constraints. The central takeaway is that “research” doesn’t automatically mean lab work with expensive equipment; it can be simulation-based or literature-driven, and it can still lead to publishable outputs.

The first step is selecting an area of research. That can come from exploring what you already studied in college and identifying which subjects still feel engaging. It can also come from tracking technological advancements—such as data science, artificial intelligence, and machine learning—and seeing whether those trends connect to your interests. Another route is searching for “hot topics” within your field of study, then narrowing to the specific topic that feels most compelling.

Next comes a practical decision: whether to work alone or in a group. Group research can speed up progress because responsibilities split and workload reduces, but it can also introduce conflict and limit control over what each person works on. Solo research offers end-to-end ownership of the process and can deepen learning, but it typically takes more time and can feel exhausting without someone to share the burden. The guidance is to choose the format that fits your motivation level—either can produce strong results if the team is equally committed.

Once an area is chosen, the resource question determines what kind of research is feasible. If a college has strong research facilities, approaching a professor is presented as the best starting move for first-time researchers, since professors can offer direction and connect students to existing projects. If facilities are limited—or if the topic you want doesn’t match what your institution can support—students should either select a topic that fits available facilities or approach the faculty members who manage those facilities for guidance on what’s possible.

In the most constrained scenario—when there are essentially no research facilities—the advice shifts away from hands-on experimental work requiring tools, equipment, or chemicals. Instead, computer-based research becomes the default option: simulate systems on software, test hypotheses computationally, and aim for journals that accept work at a level comparable to experimental studies.

Publication goals also get reframed. If experimental or original research feels too difficult at the start, writing a review paper is positioned as an accessible entry point. A review paper consolidates findings from existing research, combining summary with interpretation and analysis, and it helps new researchers learn how to read papers, conduct a literature survey, and present ideas professionally.

Finally, the process emphasizes mentorship. Guidance can come from professors, professionals in companies, or advanced students such as master’s, PhD, or post-doc researchers. With a mentor to correct missteps and clarify confusion, the path from topic selection to publishing becomes less intimidating. The transcript closes by encouraging viewers to pursue related resources on choosing a research topic and searching/downloading papers, and it promotes an eight-hour research writing certification course focused on structuring papers, selecting journals, and handling citations and references properly.