The 6th ANNUAL

NATIONAL HBCU BLOCKCHAIN, FINTECH, AND AI CONFERENCE

Must-read, all-time seminal articles and papers on blockchain, cryptocurrency, fintech, and AI integration—covering a range of foundational to forward-thinking works. 

Foundational Innovation in Blockchain & Crypto

  1. Haber, S., & Stornetta, W. S. (1991). How to Time‑Stamp a Digital Document. Journal of Cryptology.
    A pioneering work introducing the concept of blockchain for tamper-proof time-stamping.
    (https://link.springer.com/article/10.1007/BF00196791) fintechnews.chen.wikipedia.org+1en.wikipedia.org+1

  2. Nakamoto, S. (2008). Bitcoin: A Peer-to-Peer Electronic Cash System.
    The original Bitcoin white paper that launched digital currencies and spurred modern blockchain development.
    (https://bitcoin.org/bitcoin.pdf)

  3. Tapscott, D., & Tapscott, A. (2016). Blockchain Revolution: How the Technology Behind Bitcoin Is Changing Money, Business, and the World. Portfolio.
    A seminal industry guide exploring blockchain's implications beyond Bitcoin.
    (https://www.penguinrandomhouse.com/books/531045/blockchain-revolution-by-don-tapscott-and-alex-tapscott/) en.wikipedia.org+1en.wikipedia.org+1investopedia.com

In-Depth Reviews & Academic Surveys

  1. Chen, F., Wan, H., Cai, H., & Cheng, G. (2019). Machine Learning in/for Blockchain: Future and Challenges. arXiv.
    A comprehensive review of machine‑learning applications in blockchain and vice versa.
    (https://arxiv.org/abs/1909.06189) jfin-swufe.springeropen.com+6arxiv.org+6aasmr.org+6

  2. Pandl, K. D., Thiebes, S., Schmidt-Kraepelin, M., & Sunyaev, A. (2020). On the Convergence of Artificial Intelligence and Distributed Ledger Technology: A Scoping Review and Future Research Agenda. arXiv.
    Summarizes early AI‑blockchain integration research and suggestions for future directions.
    (https://arxiv.org/abs/2001.11017) arxiv.orgmdpi.com

  3. Palaiokrassas, G., Bouraga, S., & Tassiulas, L. (2024). Machine Learning on Blockchain Data: A Systematic Mapping Study. arXiv.
    A mapping study covering ~159 works on ML applied to blockchain analytics.
    (https://arxiv.org/abs/2403.17081) pwc.com+6arxiv.org+6en.wikipedia.org+6

  4. Zhang, X., et al. (2022). A Review of Blockchain Technology Applications for Financial Services. ScienceDirect.
    Examines blockchain use cases within traditional and decentralized finance.
    (https://www.sciencedirect.com/science/article/pii/S2772485922000606)magazine.columbia.edu+5sciencedirect.com+5researchgate.net+5

FinTech & AI Synergies

  1. Cao, L., Yang, Q., & Yu, P. S. (2020). Data Science and AI in FinTech: An Overview. arXiv.
    Surveys how AI and data science are revolutionizing FinTech sectors like lending, insurtech, and crypto.
    (https://arxiv.org/abs/2007.12681) arxiv.org

  2. De Filippi, P., & Wright, A. (2018). Blockchain and the Law: The Rule of Code. Harvard University Press.
    Explores legal and governance implications arising from blockchain's codified architecture.
    (https://www.hup.harvard.edu/catalog.php?isbn=9780674986421) en.wikipedia.org

Industry & Emerging Trends

  1. PwC. (2018). Making Sense of Bitcoin, Cryptocurrency and Blockchain: A Strategist's Guide. PwC US.
    Strategic primer for executives to assess blockchain’s role in business innovation.
    (https://www.pwc.com/us/en/industries/financial-services/library/bitcoin-cryptocurrency-blockchain.html) jfin-swufe.springeropen.com+15pwc.com+15fintechnews.ch+15