Hi There,
I’m Zhaozhi!
I am currently a senior student at Duke Kunshan University. My research interests lie in computational social science, with a focus on public opinion and urban politics.
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Contact: zhaozhi.li@dukekunshan.edu.cn​
Education
Duke Kunshan University
Duke University
May 2022
Bachelor of Science Degree in Data Science
GPA: 3.75/4.0
Awards: Second Place in International Student Conference on Environment and Sustainability (plus reward of $1,000), Circular Economy Channel (June. 2021); Summer Scholar Research Funding of 13K RMB (Apr. 2021); Innovation Incubator Funding of 40K annually (Dec. 2020)
Tel Aviv University
Summer 2019
Awards: TAU International Student Scholarship of $1,000
PUBLICATION
& CONFERENCE
Zhaozhi Li, Tweeting as Framing: Truth and Deception in the Congressional Response to Black Lives Matter Proceedings of 2021 International Conference on Communication & Media Studies, Themed Panel, October 2021.
Zhaozhi Li, Senators’ Response to Black Lives Matter during the 2020 Election Campaign: Evidence from Twitter, American Political Science Association Diversity Program, Election Series.
Zhaozhi Li, Stochastic Modeling of Follicle Growth in Adult Female Rat Ovary, Proceedings of 2020 International Symposium on Biomathematics and Ecology Education and Research (BEER), September 2020.
RESEARCH EXPERIENCE
Duke Center for Truth, Racial Healing & Transportation (TRHT)
September 2021 - Present
Advisor: Prof. Patricia Garrett-Peters
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Movement Through Racial Healing and Justice
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Extracted survey data, and conducted cluster analysis to explore statistics movement, and identified RxRacial Healing TM Circle (RxRHC) participants' attributes such as age, ethnic and racial identity;
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Performed social network analysis (focusing on ego-network analysis and social capital tools) to explore relational movement through the perception of belonging, connectedness, and cohesion;
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Categorized the emotion category, intenseness, and orientation of feeling statement of RxRHC participants. Discovered the feeling alternation trend: participants become more aware of their emotion.
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Computational Social Science
September 2020 - Present
Advisor: Prof. Chaoyi Chang
Congressional Response to Black Lives Matter -- tweeting and voting
Analyzed influence of partisanship on senators’ responses to the murder of George Floyd and BLM movement, in the context of 2020 election, using 53,325 pieces of self-collected senator Twitter data;
Conducted topic correlation analysis and time series analysis on the data using Python nltk package.
Human-Nature Relation Under COVID-19 Pandemic: Evidence from Twitter
​Led a team of six to use distance reading approaches such as topic modeling, sentiment analysis, logistic regression, and SVM to research on US politician twitters to predict the future strategy on climate change;
Extracted 130K data entries from Baidu Index and over five million pieces of Twitter data using web-scraper based on Python Selenium; Parse 2TB Twitter data posted from May to Jul. 2020 and from Feb. to Apr. 2021 on the virtual machine and Google Cloud Platform;
Modeled sentiment change of Twitter conversation using a combination of natural language process (NLP) and latent Dirichlet allocation (LDA) algorithm to study the global shift in attitude towards urban ecosystem service under Covid-19 pandemic.
Duke University Environmental Research Center
July 2020 - Present
Research Assistant​
Advisor: Prof. Junjie Zhang​
Predictive Functions of Mandatory and Non-mandatory Environmental Disclosures of Domestic A-share Listed Companies on Their Low-carbon Transition performance
​Extracted key features of company releases using NLP tools including TF-IDF, principal component analysis, etc., to build a predictive model between these features and environmental performance;
Designed an automated keyword search algorithm in Chinese context to extract keywords in Chinese governmental reports;
Utilize keywords extracted with the algorithm to cross-compare corporate report sentiment and their ESG evaluation result.
Stochastic Modeling of Follicle Growth in Adult Female Rat Ovary
July 2020 - November 2020
Advisor: Prof. Natalia Toporikova
Established an ordinary differential equation (ODE) model group on Jupyter Notebook based on what was proposed by Lacker in 1983 to explore the hormonal activity that triggers different stages of follicular development;
Simulated follicular behaviors in continuous and regular reproductive periods;
Achieved consistent ovulating follicle numbers and stable reproductive periods.
WORK EXPERIENCE
December 2020 - Present, Kunshan China & Durham NC
Co-founder & Product Developer
Led the Product Development team to develop a platform for evaluating the ethical performance of brands of the fast fashion industries to help customers select the trustworthy ones;
Intended service includes credit rating on brand ethical performance, brand product review, news service highlighting brand ethics and sustainable living.
July 2021 - September 2021, Beijing China
Global Energy Interconnection Development and Cooperation Organization
Project Assistant
Examined the role played by international organizations in promoting the interconnection of regional power grids;
Sorted out supporting policies implemented by governments around the world to drive international grid interconnection and investigated the ongoing and planned grid interconnection projects;
Analyzed the successes as well as the challenges in the field of international grid interconnection;
Proposed policy recommendations to promote the interconnection of power grids in different regions from the perspectives of policy, technology, market, investment, and financing.
January 2021 - March 2021, Beijing China
Institute of Public and Environmental Affairs
​Information Disclosure Intern
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Extracted, processed, and managed over 50K pieces of industrial pollution data for Pollution Information Transparency Index (PITI) and IPE Blue Map using Python;
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Compiled thematic report on corporate environmental performance, exploring the inner link between ecological risk assessment and corporate average yields assessment.
July 2020 - September 2020, Beijing China
He Yi Institution
​Green Industry Program Assistant
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Presided over the interviews with five participating green corporations and NGOs;
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Recruited and leld ten volunteers to conduct the interviews and published reports on official WeChat account, got over 10K views
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Conducted desktop research on domestic corporate social responsibilities (CSR) and presented the report at SEE Annual Party.