OSINT & Intelligence Analysis
What open-source intelligence is, how the intelligence cycle applies to it, which analytic techniques reduce bias, and how to verify what you find.
Practical, sourced guides to OSINT, competitive intelligence, research analytics and how AI is changing the way information is found.
What open-source intelligence is, how the intelligence cycle applies to it, which analytic techniques reduce bias, and how to verify what you find.
How to run competitive intelligence that informs decisions: key intelligence topics, sources, frameworks, early-warning signals and the legal line on trade secrets.
A practical guide to patent landscapes: what patents reveal, how to build a search, which indicators to use, the pitfalls, and the debate about patent assertion entities.
What research says about why false news spreads faster than the truth, why debunking sometimes fails, and which approaches, such as prebunking, actually help.
How think tanks work, from RAND to China's new-type think tanks, how their influence is measured, and why independence and transparency matter.
How the main research metrics are calculated, what they can and cannot tell you, how to map a field with citation data, and why research evaluation is moving beyond them.
What knowledge graphs are, how they relate to knowledge management and ontologies, how to build one, and why they matter again in the age of large language models.
What cyber threat intelligence is, the frameworks analysts use (kill chain, Diamond Model, ATT&CK), how it is shared, and how national cyber strategies shape it.
How search engines and AI assistants retrieve and cite sources, what retrieval-augmented generation is, and what publishers can do to be found and cited in AI answers.
How to use ACH, the structured technique that tests every piece of evidence against every explanation, with a worked example and a ready-to-copy matrix.
Why deciding when two records refer to the same person or company is so hard, the main techniques from rules to machine learning, and how to measure quality.
A step-by-step method for building a reliable patent search strategy that combines keywords, classification codes and applicant names, and for testing it.
How the three main journal metrics are calculated, how they differ in data source, citation window and weighting, and how to use them sensibly.
The Chinese word qingbao covers both intelligence and information. Here is how the concept developed, why it confuses translators, and what it means for research.
A free, step-by-step workflow for building a map of any research field: define the query, export from OpenAlex, build networks in VOSviewer and interpret the clusters.