Research
Interdisciplinary AI research at the San Diego Supercomputer Center
A live lab for measuring autonomous agents
SPARK members are writing the frameworks for how agents should be orchestrated and governed. This summer SPARK becomes the live lab to test them: student teams and members implement, run, and measure autonomous agents on real workloads, on Recursiv's platform. See it live at the June 24 Special Session.
Publications
Points of view and working papers from our researchers, advisors, and industry partners
Scientifically Automating Data Quality Decisions with AI Explainability Weights
James Massa (JPMorgan Chase) and James E. Short (SDSC)
Architecting Enterprise AI for Scale, Control, and Competitive Advantage
John Ottman and Suresh Mani, Solix
Rethinking Enterprise Storage Architecture for AI-Driven Systems
Barry Rudolph (Spectra) and Christine Telford Teale (IBM)
Is AI Governable?
SPARK AI Research Team
Agentic AI Data Quality and Zero Trust
SPARK AI Research Team
Project ChainWatch: A User-Configurable Blockchain Anomaly Detection System
Samson Qian, Steve Orrin (Intel), Matt Clanton, James Short
Research Projects
Active and upcoming research initiatives
Is AI Governable?
Project ChainWatch: Blockchain Anomaly Detection
Agentic AI Data Quality and Zero Trust
Automating Data Quality Decisions with AI Explainability Weights
Revolutionizing Drug Discovery with AI-Driven Semantic Data Engineering
Building Intelligent Foundations: Rethinking Data Storage Strategies in the Age of AI
Micro-Gains, Macro-Patience: Assessing Agentic AI Productivity
Will Automation Replace Your Workforce?
When Expectations Count: Prediction Markets, Expertise, and Forecasting AI Trajectories
BlockLAB
SDSC's blockchain research group — consensus algorithms, smart contracts, security, and governance frameworks for enterprise IT
Peer-Reviewed Publications
A Framework Proposal for Blockchain-Based Scientific Publishing Using Shared Governance
Frontiers in Blockchain (2019) — View →
Examining the Potential of Blockchain Technology to Meet the Needs of 21st-Century Japanese Health Care
J. Medical Internet Research (2020) — View →
Combating Healthcare Fraud and Abuse: A Technology Framework Leveraging Blockchain
J. Medical Internet Research (2020) — View →
hOCBS: A privacy-preserving blockchain framework for healthcare data
Information Processing & Management (2021) — View →
Establishing a blockchain-enabled Indigenous data sovereignty framework for genomic data
Cell 185 (2022)
A Field Test of a Federated Learning/Federated Analytics Blockchain Network in an HPC Environment
Frontiers in Blockchain (2022) — View →
Collaborate With Us
Partner on research or access our full publication library by joining the consortium.
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