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🔭 I’m currently working on applying theoretical multidisplinary research into Ai-enabled solutions to address real-world challenges that affect everyday individuals and households, with a focus on:
- Assistive Technology
- Decision Support Tools
- Computational social science
- Microeconomic decision-making in areas such as:
- Household decision making
- Food and diet choices
- Education
- Healthcare
- Personal finance
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🌱 I’m currently learning:
- Programming Mastery: Python, R, SQL, SAS
- Academics: Computational Social Science, Human Factors Psychology, Mathematics
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Currently on my bookshelf:
- Hidden Figures: Margot Lee Shetterly
- An Instict For Truth: Curiosity and the Moral Character of Science: Robert T. Pennock
- The Wisdom of Crowds: James Surowiecki
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📖 I’m currently reading:
Title | Authors | Year | Publisher/Source | Link | Keywords |
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AI-enabled business models for competitive advantage | Ricardo Costa Climent, Darek M. Haftor, Marcin W. Staniewski | 2024 | Journal of Innovation & Knowledge | Link | Artificial intelligenceValue creation and appropriationBusiness model themesBusiness model architectureData network effectsSituated use of AI |
The Welfare Effects of Social Media | Hunt Allcott, Luca Braghieri, Sarah Eichmeyer, Matthew Gentzkow | 2019 | Stanford | Link | Social media, political polarization, subjective well-being, consumer surplus |
The Role of Data for AI Startup Growth | James Bessen, Stephen M. Impink, Lydia Reichensperger, Robert Seamans | 2022 | Boston University School of Law | Link | Artificial intelligence, competition, data, algorithms, venture capital |
Digital Addiction | Hunt Allcott, Matthew Gentzkow, Lena Song | 2022 | National Bureau of Economic Research | Link | Digital addiction, behavioral economics |
Human-AI Interaction Research Agenda | Tingting Jiang, Zhumo Sun, Shiting Fu, Yan Lv | 2024 | Data and Information Management | Link | Human-AI interaction, Human-AI collaboration, competition, conflict, symbiosis |