Research and Development Collaboration
This whitepaper and tokenomics framework were developed in collaboration with graduate students from UCLA's Master of Quantitative Economics (MQE) program. Additionally, students from other top universities and research centers worldwide are actively contributing to the project.
Contributing Institutions
Below is a list of contributors and their academic affiliations:
Weiwen Sun
UCLA – Master of Quantitative Economics
Churongze Wang
UCLA – Master of Quantitative Economics
Tanishq Tiwari
UCLA – Master of Quantitative Economics
Jiyu (Judith) Zhu
UCLA – Master of Quantitative Economics
Jingyu L.
UCLA – Master of Quantitative Economics
Yue (Amber) Yu
UCLA – Master of Quantitative Economics
Marcy Guo
UCLA – Master of Quantitative Economics
Hiba F.
UCLA – Master of Quantitative Economics
Xinyu Gu
UCLA – Master of Quantitative Economics
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Kevin Wang
UCLA – Master of Quantitative Economics
Boxiong Li
UCLA – Master of Quantitative Economics
Edith Liu
UCLA – Master of Quantitative Economics
Kevin Zhao
UCLA – Master of Quantitative Economics
Lemeng Shi
UCLA – Master of Quantitative Economics
Karan Mehra
UCLA – Master of Quantitative Economics
Liza Shuwen
Loyola Marymount University – Data Science Studies Center
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Sehej Singh
Loyola Marymount University – Data Science Studies Center
Hugo Noyma (Core Team)
Inteli – Institute of Technology and Leadership (BRA)
Felipe Saadi (Core Team)
Inteli – Institute of Technology and Leadership (BRA)
Gabriel Coletto (Core Team)
Inteli – Institute of Technology and Leadership (BRA)
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