Where do we go from here?
A beta project exploring new ways to read, evaluate, synthesize and navigate scientific knowledge in the age of artificial intelligence.
ScienceAdvisor starts from a simple problem: modern research produces more publications, more fragments and more signals than any individual scholar can meaningfully process.
We want to test tools for evaluating articles, mapping debates and identifying cumulative knowledge.
This site is an early workspace. Content, design and methods will evolve progressively.
A beta data project dedicated to mapping journals, publication volumes, disciplinary fragmentation and knowledge overload in political science.
Browse the current and future data projects developed within ScienceAdvisor.
Future experimental work will explore alternative ways to evaluate scientific texts, including quality, robustness, usefulness and cumulative value.
Testing what AI can and cannot do when reviewing research fields, debates and articles.
Developing transparent procedures for source checking, citation control and uncertainty marking.
ScienceAdvisor investigates whether AI can support synthesis, critical review and collective intelligence rather than simply accelerate publication inflation.
A first note on scientific overload, AI and the need for new infrastructures of scholarly judgement.
A draft essay on fragmentation, CV incentives and the possible reform of academic publishing.