Student Conducting Research Alongside a Nova SBE Professor Has Been Named One of Top 300 Scholars in the Regeneron Science Talent Search 2022
Promoted by Nova | 31 January 2022 Student Conducting Research Alongside a Nova SBE Professor Has Been Named One of Top 300 Scholars in the Regeneron Science Talent Search 2022

Fiona Jiang, a high school senior from the Webbs School, California, USA, has been recently named one of the top 300 scholars in the Regeneron Science Talent Search 2022 through the Science, Technology, Engineering, and Mathematics (STEM) study she worked on alongside Nova SBE Professor Qiwei Han.

And after analyzing 1804 applications from 603 high schools across 46 states, Washington, D.C., Puerto Rico, and eight other countries, Society for Science has recently announced the top 300 scholars in the Regeneron Science Talent Search 2022 and Fiona Jiang, a high school senior from the Webbs School, USA, who worked alongside Nova SBE Professor Qiwei Han has made the list.

Student Fiona Jiang contacted Nova SBE Professor Qiwei Han to supervise her high school STEM independent study entitled Characterizing Decades of Technological Advances with Graph Neural Networks: An Innovation Network Perspective. Eager to work with everyone who strives for positive change and to create cross-cultural synergies, Professor Han, a member of the Nova SBE Data Science Knowledge Center, gladly accepted the request and worked as a mentor of Fiona’s paper.
 


Student Fiona Jiang.
 

This year, research projects cover topics from tracking countries’ progress on Sustainable Development Goals to the impact of states’ COVID-19 responses and improving the tools used to diagnose Alzheimer’s to analyzing the effects of virtual learning on education. Fiona’s study focuses on using nearly 4 million patents issued by the United States Patent and Trademark Office (USPTO) from 1975 to 2010 to construct a large-scale innovation network based on citations between patents and employing several state-of-the-art graph neural network algorithms clustering analysis to extract meaningful representations. Student Fiona Jiang used clustering analysis to identify and analyze the innovation clusters and spillover effects of innovations in the neighboring fields. She also demonstrated its usefulness for characterizing innovation growth in decades, which is valuable for studying and managing technological advances.

The Regeneron Science Talent Search is the USA’s most prestigious science and math competition and awards scholars based on their exceptional research skills and innovative thinking as demonstrated through the submission of their original, independent research projects or essays. Aside from this distinction, the 300 scholars and their schools are awarded $2000 each.

To check the complete 2022 Scholars list, please visit this page. And congratulations, Fiona and Professor Qiwei Han!

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