DATE:

Friday, July 15, 2022

TIME:

3:30 PM

LOCATION:

Virtual Zoom Seminar

SPEAKER:

Jamey O’Neill, PhD Candidate, Bioengineering

ABSTRACT:

Knowledge maps provide a connected network of key ideas, topics, techniques and applications within a given field of interest. These maps can be extremely valuable in identifying ideas with high impact, topics with high growth potentials, and techniques and applications that can increase knowledge sharing and collaboration across topics and fields. Existing knowledge maps rely on predefined knowledge terms, or identify knowledge terms from a small corpus of manuscripts and text excerpts. Here we will discuss the development of largescale knowledge maps that learn from datasets containing >1M abstracts and extract knowledge terms and connections using a variety of NLP and unsupervised learning tools. The knowledge maps thus developed can be used to map local vs global areas of research interest and potential transdisciplinary collaboration areas with the potential to transform the respective fields of science and technology.

HOST:

SDSU SIAM Student Chapter

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