Become a smarter researcher & writer (+/- AI) by reading one of my posts/day. Quality wins. University Research Chair & Tenured Full Professor.
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Nov 13 • 8 tweets • 3 min read
Most researchers make a critical mistake in their methods section that instantly signals 'amateur' to reviewers. It's so common that I see it in 7 out of 10 papers, yet so simple to fix...
Delay writing your Methods section.
Spend time owning your research process first:
By answering 4 questions:
• What problem did you solve?
• For whom did you solve it?
• Why did this problem need solving?
• How did you solve it effectively?
Get comfortable thinking through each:
Think through your research design
Think through your ethical choices
Think through your data collection
Think through your analysis steps
Think through your limitations
Write down specific answers for each.
And if you have unclear answers:
→ Take time to better understand
Nov 11 • 4 tweets • 2 min read
Every groundbreaking discovery in science started with someone willing to challenge their own assumptions. Your next literature review could be the one that changes everything.
Your academic work needs to fight confirmation bias.
It's blocking you from great research.
And it's easier to fix than you think.
Here's how to destroy confirmation bias in your research:1. Plan before you search
→ Write your research questions
→ Define inclusion criteria
→ List your search terms
→ Pick your databases
2. Document everything
→ All search strings used
→ Every database checked
→ Number of results found
→ Selection decisions made
3. Remove author identity
→ Code your studies
→ Hide author names
→ Mask institutions
→ Review methods first
See, back when I started my research journey, I thought coming up with research questions was pure luck.
Just throw something at the wall and hope it sticks.
Wrong.
Here’s the step-by-step breakdown: 1. Define the broad topic area of research
Start broad.
In just one or two sentences, outline the general area you’re interested in.
(Example: “User interaction in virtual reality environments.”)
This sets the stage for deeper investigation.
Oct 22 • 10 tweets • 2 min read
Stop writing academic papers like a robot.
Tell stories instead.
Most academic writing puts people to sleep.
But it doesn't have to.
Academic storytelling changes everything.
Here's why it works:
→ Builds emotional connection
→ Creates memorable content
→ Makes complex ideas clear
→ Keeps readers engaged
→ Drives more citations
Yet most academics fail at storytelling.
So I broke it down into 5 simple techniques:
Oct 17 • 5 tweets • 2 min read
How I turned a 50-page literature review into a concise 10-page masterpiece using 9 simple questions:
Most researchers get lost in endless summaries.
They miss the big picture.
But there's a simple framework to fix this.
I call it the 9-Question Literature Review Framework: 1. What has been done? 2. What were the hypotheses? 3. What were the research questions? 4. How was the work done? 5. When was it done? 6. Who did it? 7. What were the main findings? 8. What were the conclusions? 9. What should be done next?
This framework helps you:
• Organize your thoughts
• Identify research gaps
• Develop your own questions
Oct 15 • 11 tweets • 2 min read
Feel like giving up on research proposals? (Read this, please)
Back in my early career, I lost two grant applications.
In my PhD, I nearly quit academic writing altogether.
I almost gave up on research. Twice.
But as Associate Professor, something shifted. 3 things, actually: 1. Proposal structure → without compromise
I committed to using a foolproof outline for every proposal:
Title Page → Your research's first impression
Table of Contents → A roadmap for reviewers
Abstract → Your research in a nutshell
Oct 13 • 7 tweets • 2 min read
What if choosing between quantitative and qualitative methods is asking the wrong question entirely?
A comparison of quantitative, qualitative, and mixed methods
Researchers often agonize over picking quantitative or qualitative methods.
But here's the truth:
This "either-or" thinking is outdated.
Let's break down why:
1. Quantitative methods:
• Focus on numbers and statistics
• Provide generalizable results
• Test hypotheses
→ But can miss nuanced insights
Sep 28 • 9 tweets • 2 min read
My data's strong, but my paper's weak. 😱
Don't just write; guide your reader.
How to use the PASTOR framework: 1. PROBLEM: Identify the gap
• State a clear gap in existing literature.
• Pinpoint the issue your research tackles.
Be explicit about the problem.
❌ 'This area needs more study.'
✅ 'Current methods fail to address X accurately.'
Vagueness won't cut it.
Clearer = better.
Aug 30 • 7 tweets • 2 min read
How to go from idea to published paper?
I've struggled with writing many times. (And it’s no piece of cake)
So I want to make it easier for you by sharing a simple process that can help anyone improve their writing today.
You can scroll away now... OR you can read below: 1. When you're just starting → Gather your ideas, know your purpose, and think about who you’re writing for.
💡 Organize your thoughts before you start typing.
Aug 23 • 7 tweets • 2 min read
The dark side of research: Fake citations are on the rise.
Dubious scientists join drug lords and counterfeiters on the black market.
The problem goes deeper than you think.
In a nature news article, researchers exposed a disturbing truth:
Citations are being sold in bulk to inflate academic profiles.
For $300, 50 citations will boost a researcher's Google Scholar profile.
Even for a fake scientist.
Yes, fake scientists.
WTF?
Aug 23 • 6 tweets • 2 min read
3 data types that can power your next data visualization
Most people struggle with how to plot their data.
But if you know your data type, the process becomes easy.
How to visualize your data (by Steve Franconeri):
Here’s a quick overview of three common types
1. Discrete categories
These are distinct groups, like cities or product names.
Use bar charts to show differences in their size or count.
Aug 15 • 5 tweets • 2 min read
The Hero’s Journey is everywhere, but here’s why it works.
Most stories that grip us have something in common:
A powerful structure.
This is the Archplot!
The engine behind Harry Potter, Star Wars, and The Odyssey. (Read on)
It’s the journey of a hero who steps out of their comfort zone, faces enemies, hits rock bottom, and rises to victory. The structure transforms ordinary characters into unforgettable legends.
What makes it so effective?
Aug 11 • 9 tweets • 2 min read
Research grant writing is always evolving. (Yes, professors)
If you’re struggling with grant applications, read on...
What I'm about to share applies to all tenure-track academics. Hopefully, this guide will refine your strategy and enhance your grant success rate. 1. 🎯 Preparation
• write unfocused arguments.
• present obvious or uncontroversial ideas.
• rehash existing knowledge without insight.
• make sweeping generalizations without evidence.
Instead:
• I craft claims that define clear goals and directions for my papers.
• I ensure my claims are argumentative, taking a specific stance.
• I support my claims with robust evidence and expert opinions.
• I make my claims complex enough to sustain an entire paper.
Jul 17 • 8 tweets • 2 min read
Since finishing my PhD, I've published 200+ high-impact papers.
So here's a quick PhD Publishing Masterclass:
(I know, some Universities charge crazy tuition for this)
1. Nail your literature review → comprehensiveness and critical analysis.
A review that's "exhaustive" creates context.
Therefore, it's easily defensible.
Most researchers list papers, not synthesize knowledge.
Jun 13 • 6 tweets • 1 min read
How I mastered explaining my reasoning in research papers