Word embedding models are a powerful approach for representing the multidimensional
conceptual spaces within which communicated concepts relate, combine, and compete with …

Advanced artificial intelligence (AI) systems with access to millions of research papers could
inspire new research ideas that may not be conceived by humans alone. However, how …

Interdisciplinary scientific fields, such as synthetic biology, bioinformatics, and human brain
science, often emerge at the intersection of existing scientific disciplines. This fundamental …

In the relentless pursuit of scientific advancement, comprehending the profound impact and
innovation nature inherent in funded research projects assumes paramount significance. To …

The exponential growth in scientific publications poses a severe challenge for human
researchers. It forces attention to more narrow sub-fields, which makes it challenging to …

摘要在破“五唯” 的背景下, 科学研究的创新性测度尤为重要, 创新性较高的论文往往会对既有
研究领域的学科范式产生颠覆性影响, 甚至开创新的范式. 颠覆性指数是近几年被提出的可以 …

Interdisciplinary research is a key issue in science policy because it is commonly associated
with scientific advances and societal impact. However, recent research has shown …

We use text mining to identify the origin and impact of new scientific ideas in the population
of scientific papers from Microsoft Academic Graph (MAG). We validate the new techniques …

Modularity is critical for the emergence and evolution of complex social, natural, and
technological systems robust to exploratory failure. We consider this in the context of …

In the extensive recommender systems literature, novelty and diversity have been identified
as key properties of useful recommendations. However, these properties have received …