How to Write Papers That Meet Academic Standards | Webinar with Prof. Iain Jackson

Academic writing isn’t blocked by a lack of ideas—it’s blocked by a broken pipeline from research to impact. Prof. Iain Jackson frames academic papers as only one part of a larger system: research must be conducted, then communicated, then translated into something readers can use. Most papers never get read, and even when they are read, the work often fails to become actionable knowledge. The fix isn’t simply writing more; it’s writing better and deploying research through multiple formats so it can reach the right audience and matter in the world.

Jackson lays out a practical “road map” across four stages: (1) the research itself, (2) the medium used to share it, (3) connection with an audience or user, and (4) the consequences—what the work means and whether it has practical use. Blockages can happen at each stage: researchers can get stuck in methods, lose their work during communication, or stop before the argument lands. He argues that academia is at a threshold where papers alone no longer carry enough weight; they should be deployed alongside other mediums to increase impact. Not every project needs immediate real-world application, but it should still have some use—otherwise the effort risks becoming self-contained scholarship.

AI enters as both opportunity and responsibility. Jackson is concerned about credibility and misuse, but he also tests AI tools directly and uses them when they improve research quality. He pushes back on the idea that AI should accelerate paper production for its own sake—academia is already inundated with work that doesn’t create impact. Instead, AI should help researchers become “slow professors”: careful, thoughtful writers who make a difference.

As a case study, he revisits a 2013 paper—written before AI existed—that grew out of a side investigation rather than a planned “main project.” The method was iterative and data-driven: he gathered biography, photographs, archival records, and existing literature, while also wrestling with shifting terminology and geography (e.g., “West Indies,” “British West Indies,” “Antelles,” and related island and federation labels). Rather than starting with a single gap in the literature, he followed the data and then rephrased the research questions to fit what the evidence demanded.

His most concrete prescription is time allocation and continuous communication. He recommends carving out about 60 minutes per day for thinking and side projects, arguing that researchers often waste far more time on social media. He also emphasizes “building in public”: sharing work-in-progress through blogs and essays can reach far more readers than a poorly optimized journal title ever will.

Finally, he demonstrates how Skyspace can support the entire workflow: searching across databases, summarizing papers (including PDFs and long archival documents), tracking citations to see what followed, organizing references into folders, and using a column layout to manage overwhelming reading lists. He highlights browser integration for explaining highlighted concepts, multilingual support to reduce misinterpretation, and a notebook workflow for drafting outlines and structuring arguments. For writing, Skyspace’s paraphraser is positioned as a copy-editing aid (not a replacement for authorship), helping tighten prose while preserving voice. The overall message is clear: use AI and new tools to reduce friction, improve clarity, and connect research to readers—so the work reaches completion and then moves outward into the world.