Hands-on training to master 10 tools for 10 strategies using AI tools to speed up produce clearer, more credible scientific writing, ethically.

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Who it’s for

Students, researchers, and professionals who want a simple, reliable, and responsible AI workflow for research and academic writing.

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What you’ll learn​

The 10×10 Toolkit (strategy → capability)

1. Trend Analysis — Validate research questions; refine scope and feasibility

2. Priority Map — Set priorities (topics, variables, papers); build a scoped reading plan 

3. Funding Trend — Identify funder priorities; align keywords, aims, and novelty to calls

4. Gap Analysis — Confirm real gaps and originality; test “gap validity” against recent evidence

5. Lit Review (Themes) — Extract, code, and synthesize themes; build an evidence map (who/what/where/how strong)

6. Lit Review (Writing) — Draft structured review sections with clear conceptual vs. empirical distinctions

7. Methods and Tools — Design methodology; generate/check instruments, protocols, and reporting checklists

8. Data Analysis — Run reproducible analyses (scripts/logs); clean data; stats/ML with traceable outputs

9. Critical Analysis — Build discussion: evidence strength, mechanisms, implications, limitations, alternative explanations

10. Journals and Publications — Journal targeting + submission readiness: reference validation, formatting, figures/tables, PRISMA/flow diagrams, integrity & reproducibility checks

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Schedule

Day 1 (6:00–9:00 PM): Idea → Evidence

• Integrity rules & disclosure templates

• Strategies 1–6 with live mini-labs

• Build your literature map + reference library

Day 2 (6:00–9:00 PM): Draft → Submission

• Strategies 7–10 with live mini-labs

• Produce a 2-page mini-report with references and an AI-use statement

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Format & inclusions

• Live, interactive sessions (online)

• Quick-start guides for all workflows

• Certificate of completion (6 hours)

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Requirements

• Laptop, stable internet, and a reference manager installed (recommended).

• Bring a topic/abstract if available.

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Outcome

Leave with a complete, reusable workflow, a curated mini-library, and a polished draft start, plus clear rules for responsible AI in academia.

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Cost​

QAR 600 (use this code to get 20% OFF: CROSSTALK-OFF)

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About Your Trainer

Dr. Nouf Mahmoud, founder of CROSSTALK LAB, brings over 20 years of experience in education, research, supervision, and mentoring. A UK-CPD–certified trainer committed to empowering researchers, she has been honored twice by UNESCO for her excellence in research and mentoring, and by HEC Paris University for outstanding leadership.​​

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