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  1. From Silicon to Intelligence: The Future of AI Compute—A Fireside Chat With Jim Keller, CEO of Tenstorrent

    Published in Harvard Data Science Review (2026)
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  2. Understanding and Mitigating Unintended Bias in Medical AI Systems

    Published in Harvard Data Science Review (2026)
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  3. Useful, Not Just Usable: Design Considerations for Instructionally Meaningful K–12 Data Sets

    Published in Harvard Data Science Review (2026)
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  4. Bias in the Loop: How Humans Evaluate AI-Generated Suggestions

    Published in Harvard Data Science Review (2026)
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  5. Attention Is Not All You Need: How AI Is Reshaping Consumer Attention and the Future of Brand Strategy

    Published in Harvard Data Science Review (2026)
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  6. Explainability in the Wild, or Wild Explanations? Evidence From Predicting Tax Evasion

    Published in Harvard Data Science Review (2026)
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  7. Toward Differentially Private Finite Population Estimation: An Approach Based on Survey Weight Regularization

    Published in Harvard Data Science Review (2026)
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  8. Building a Data Science Department in a Research Institution

    Published in Harvard Data Science Review (2026)
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  9. Susan R. Lin

    Published in Harvard Data Science Review (2026)
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  10. Mercè Crosas

    Published in Harvard Data Science Review (2026)
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  11. Dialect Cartography of Erzya and Moksha Languages: Digitized Historical Sources and Evaluation of the Contemporary Data

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  12. Interpretable Socioeconomic Profiling: A Deep Dive Beyond Narrative Classification

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  13. Stability and change in Icelandic corpora: The case of Stylistic Fronting

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  14. Beyond Style: Rethinking Computational Fanfiction Research

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  15. Efficient Toxicity Detection in Gaming Chats: A Comparative Study of Embeddings, Fine-Tuned Transformers and LLMs

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  16. Ambiguity in Crisis: A Multimodal and Synthetic Data Approach to Classification

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  17. Ghosts in the machine: Can adaptive MT help reclaim a place for the human in the loop?

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  18. Construction of Chinese Traditional Cultural Nouns Knowledge Base

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  19. Exploring Historical Labor Markets: Computational Approaches to Job Title Extraction

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