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    BIKAS: Bio-Inspired Knowledge Acquisition and Simulacrum—A Knowledge Database to Support Multifunctional Design Concept Generation

    Published in Data Intelligence (2024)
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    Exploring Attentive Siamese LSTM for Low-Resource Text Plagiarism Detection

    Published in Data Intelligence (2024)
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    The W3C Data Catalog Vocabulary, Version 2: Rationale, Design Principles, and Uptake

    Published in Data Intelligence (2024)
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    Building Expertise on FAIR Through Evolving Bring Your Own Data (BYOD) Workshops: Describing the Data, Software, and Management-focused Approaches and Their Evolution

    Published in Data Intelligence (2024)
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    Predicting an Optimal Virtual Data Model for Uniform Access to Large Heterogeneous Data

    Published in Data Intelligence (2024)
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    Uncovering Hidden Geometry in Transformers via Disentangling Position and Context

    Published in Harvard Data Science Review (2026)
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    Adel Daoud

    Published in Harvard Data Science Review (2026)
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    Book Review of Rewiring Democracy: How AI Will Transform Our Politics, Government, and Citizenship by Bruce Schneier and Nathan E. Sanders (MIT Press, 2025)

    Published in Harvard Data Science Review (2026)
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    Ed Humpherson

    Published in Harvard Data Science Review (2026)
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    Broadening Access to Data Science Education: Open Source Tools and Training in High School and Higher Education

    Published in Harvard Data Science Review (2026)
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    Toward Causal Field Evaluations of AI Systems

    Published in Harvard Data Science Review (2026)
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    Peter Galison

    Published in Harvard Data Science Review (2026)
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    The Unbearable Weight of Possible Futures: AI and Uncertainty

    Published in Harvard Data Science Review (2026)
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    What Does It Mean to Understand AI?

    Published in Harvard Data Science Review (2026)
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    AI Agents Are Transforming Decision Making: What Leaders Should Know

    Published in Harvard Data Science Review (2026)
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    Learning Models and Modalities to Build Data Equity Competencies

    Published in Harvard Data Science Review (2026)
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    Tracing Wine’s Globalization Empirically: New Updatable Annual Data Sets

    Published in Harvard Data Science Review (2026)
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    Catalyst, Curiosity, and the Crazy Ones: Reflections on the Inaugural AI Summit at Harvard University

    Published in Harvard Data Science Review (2026)
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    From Awaiting AGI to Better Aligning AGI: Academia, Government, and Industry

    Published in Harvard Data Science Review (2026)
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    A Personal Journey and the Future of Work AI—A Fireside Chat With Arvind Jain, CEO of Glean

    Published in Harvard Data Science Review (2026)
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