Insights
The research output of the Spark AI consortium: executive briefings, working papers, and points of view
Working Papers
Read and download with a free Spark AI account.
Is AI Governable?
Spark AI Research Team
As AI systems grow in scale, complexity, and capability, the question of how they can be effectively governed becomes increasingly urgent.
Read with a free accountAgentic AI Data Quality and Zero Trust
Spark AI Research Team
Introduces Zero Trust Data Quality (ZTDQ), a framework that applies zero-trust principles to data quality assessment in agentic systems.
Read with a free accountProject ChainWatch: A User-Configurable Blockchain Anomaly Detection System
Samson Qian, Steve Orrin, Matt Clanton, James Short
ChainWatch is a user-configurable system for detecting anomalous activity on blockchain networks.
Read with a free accountPoints of View
Practitioner perspectives from consortium members. Open to everyone.
Architecting Enterprise AI for Scale, Control, and Competitive Advantage
John Ottman & Suresh Mani, Solix
How enterprises can move beyond AI hype to deliver measurable value at scale: architecture patterns for control, governance, and competitive advantage in production AI systems.
Read the paperRethinking Enterprise Storage Architecture for AI-Driven Systems
Barry Rudolph, Spectra & Christine Telford Teale, IBM
How AI workloads are reshaping enterprise storage requirements, from data ingestion pipelines to model training infrastructure and inference serving.
Read the paperBlockLAB
Peer-reviewed publications from SDSC's blockchain research group, on consensus, governance, and privacy-preserving data frameworks.
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 →
Publish with Spark
Spark members can publish their own Point of View or Information Briefing through the consortium — a channel no other university-based AI center offers. Submissions are reviewed as they arrive rather than on a fixed calendar. Send a draft or an outline and we will come back to you.
Submit a POV or Information BriefingGet the Research
Points of view are open to everyone. A free Spark AI account unlocks the working papers and gets you new research as it publishes. Forum members and sponsors get member-only briefings and early access to work in progress.