Stanford Future of Digital Currency Initiative
A half-day summit bringing together leading researchers, policymakers, and practitioners to explore the technologies and ideas reshaping the future of money.
Register NowSpeakers
Our speakers represent the frontier of academic research in digital currencies, financial markets, and policy — spanning computer science, economics, law, and finance.
Sessions
Three focused sessions and a closing roundtable — each designed to move from evidence to implication, with time for substantive discussion.
Authentication logging makes it possible for a user to fetch a comprehensive list of all logins made to her accounts. This helps users detect account compromise quickly to minimize damage and understand exactly where and when their credentials were used: an increasingly important ability as AI agents act on users' behalf. Unfortunately, existing systems provide authentication logging at the expense of allowing the log provider to learn sensitive information or tamper with authentication logs. We present Passlog, a privacy-preserving authentication logging system in which one or more parties run the log service, and anyone can unilaterally audit the log service to prove wrongdoing. A novel property of Passlog is that the log record state can be public without revealing any private information. This makes Passlog a compelling new application domain for the blockchain technology and a path to turn a historically privacy-invasive system into a private and publicly verifiable service. The challenge is to hide the identity of users and web services from the log service while still allowing the log service to enforce that every authentication is correctly recorded. We design, implement, and evaluate Passlog to support both a centralized and decentralized log service.
As AI systems become increasingly autonomous, they are beginning to challenge assumptions embedded in today's financial, legal, and regulatory frameworks. Decentralized financial networks offer a unique environment in which AI agents can hold assets, transact, and operate without traditional intermediaries, while providing transparent and auditable records of their actions. Could permissionless financial systems become the native infrastructure for autonomous AI, and can on-chain verifiability help address longstanding challenges of trust and accountability in AI? This panel will examine the emerging intersection of artificial intelligence and decentralized finance and its implications for the future of economic systems.
Details to follow.
The summit closes with an open reception bringing together the researchers who ask the hard questions and the practitioners who focus on execution. Come find your counterpart — whether you build, invest, regulate, or study — and dig into the open questions shaping the future of digital currency and decentralized finance.
Event Details
A focused, intimate gathering designed for substantive exchange — not a conference of panels, but a summit of ideas.
July 30, 2026
12:30pm – 5:30pm
Stanford University
Arrillaga Alumni Center
Stanford, California
Stanford researchers and faculty, FDCI members and advisors, invited practitioners from the digital asset and financial industry, and policymakers working at the intersection of technology, finance, and regulation.
Research presentations followed by open Q&A, with a closing facilitated roundtable. Attendance is by invitation and limited registration.
Registration
Space is limited. Complete the form below to request an invitation to the FDCI Stanford Summit 2026.
Register NowRegistration details and confirmation to follow.