How to write a research paper introduction with AI (2/3) - Develop & Refine

A practical workflow for drafting a research paper introduction emerges from an example on climate change and human health: build a clear sequence—background, topic importance, existing knowledge, knowledge gap, rationale, research questions, and aims/objectives—then iteratively tighten wording and add references where claims come from. The core payoff is structural clarity. Instead of writing an introduction as a loose paragraph, the outline forces each sentence to earn its place by answering what readers need next: why the topic matters, what is already known, what remains uncertain, and what the study will do about it.

The draft begins with a background statement defining climate change as a major global concern intensified by increasing frequency and severity of extreme weather events. That general statement is treated as a claim that needs sourcing, so references are flagged for later insertion. Next comes a “topic importance” section that narrows the focus from climate change broadly to its impact on human health—physical and mental wellbeing of communities and individuals. The example shows a decision point: an initial topic-importance line is replaced with a stronger one that better matches the paper’s direction, and redundant text is deleted.

After establishing why the topic matters, the introduction moves into “existing knowledge.” Here, the example emphasizes that there is a growing body of research on the relationship between climate change and human health, but key details are missing—specifically, the mechanisms and pathways remain unclear. The draft also incorporates the idea that increasing extreme weather events produce immediate impacts, and it reorganizes sentences so “impact” content sits in the most logical part of the introduction.

The introduction then explicitly states the knowledge gap: despite existing research, lack of understanding persists regarding how climate change affects human health through specific processes. That gap becomes the bridge to the “rationale for the study,” which is framed as investigating the impact of climate change on human health and the pathways involved. The example then formulates research questions in a way that matches the study’s scope. Instead of overly narrow wording about mechanisms, the questions are broadened to ask how climate change affects human health and how it might be mitigated.

Finally, the draft addresses “aim and objectives.” The aim is aligned with the intended contribution—identifying how climate change affects human health—while the example notes that a hypothesis section can be omitted when the study design does not involve hypotheses. The workflow closes with editing: long sentences are trimmed or paraphrased to reduce wordiness (including an example where a 40-word sentence is shortened and split into two), and additional references are planned after the literature review and other claim-heavy sections. The result is an introduction outline that flows logically from significance to uncertainty to study purpose, with citations and sentence-level refinement built into the process.