2/24/14: Chun-Nan Hsu 


Identifying Transformative Research

Chun-Nan Hsu 
UCSD


Abstract. Transformative research refers to research that shifts or disrupts established scientific paradigms. Identifying potential transformative research early and accurately is important for funding agencies to maximize the impact of their investments. It also helps scientists identify and focus their attention on promising emerging works. In this talk, I will present a data-driven approach where citation patterns of scientific papers are analyzed to quantify how much a potential challenger idea shifts an established paradigm. I will present experimental results showing that some successful transformative research works disrupt established paradigms in Physics, Biomedical Sciences and Computer Science, regardless of whether the challenger paradigm is an instant hit or a classic whose contribution is formally recognized with a Nobel Prize decades later.

Chun-Nan Hsu has been Associate Professor in the Division of Biomedical Informatics, UC San Diego since November 2013. He is interested in biomedical data mining, text mining and cell image analysis. He has developed several widely-used bioinformatics tools and services, including top-performing text mining systems in BioCreative international contest series. His recent work focuses on advanced text-mining algorithms to establish knowledge-bases of phenotypes and genetic diseases. He was elected as the president of the Taiwanese Association for Artificial Intelligence in 2009 and a IBM faculty award recipient. He is a senior member of ACM.

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