基本信息
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个人简介
My research centers around studying People & Technology by developing new Machine Learning & Data Science Methods. I am focused on developing such methods to model text-based online interaction patterns to understand how Internet technologies impact our lives and economy. In current and past research, I have analyzed data from several online platforms, including The New York Times, Boston Globe, YouTube, Reddit, & Twitter.
In addition to the substantive research focus on People & Technology, some of my research projects are solely motivated by challenging methodological scenarios, e.g., those encountered in applications where the data is sparse and high-dimensional or the causal treatment/outcome is high-dimensional. Occasionally, I examine such text-based research problems from Health/Medicine, Education, and Environmental Science domains. To overcome these challenges, my research methodology draws on Text Mining, Deep Learning, and Causal Inference/Applied Econometrics.
In summary, my research aims to advance knowledge and inform policy at the intersection of data science, technology, and society. In terms of academic disciplines, my research straddles the fields of Information Science, Information Systems, & Computer Science.
In addition to the substantive research focus on People & Technology, some of my research projects are solely motivated by challenging methodological scenarios, e.g., those encountered in applications where the data is sparse and high-dimensional or the causal treatment/outcome is high-dimensional. Occasionally, I examine such text-based research problems from Health/Medicine, Education, and Environmental Science domains. To overcome these challenges, my research methodology draws on Text Mining, Deep Learning, and Causal Inference/Applied Econometrics.
In summary, my research aims to advance knowledge and inform policy at the intersection of data science, technology, and society. In terms of academic disciplines, my research straddles the fields of Information Science, Information Systems, & Computer Science.
研究兴趣
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CoRR (2024)
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CoRR (2024)
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AI Open (2023): 23-29
Computer Science Educationpp.418-424, (2022)
arxiv(2022)
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