Cloud Economics Lab
Investigate the microeconomics and market dynamics of cloud computing to inform better pricing, procurement, and cost management strategies.
Cloud Pricing Elasticity Index - measuring how provider pricing responds to demand
Total Cost of Ownership Benchmark - standardized TCO comparison across deployment models
Spot Market Dynamics - real-time analysis of spot pricing across providers and regions
- ✓Multi-cloud sandbox (AWS, Azure, GCP)
- ✓Historical pricing datasets (5+ years)
- ✓Billing data simulators
- ✓Economic modeling software
AI Cost Modeling Lab
Develop and evaluate machine learning approaches to cloud cost prediction, anomaly detection, and automated optimization.
Deep Learning Cost Forecaster - comparing architectures for multi-horizon spend prediction
Anomaly Detection Benchmark - evaluating detection algorithms across cost data categories
RL-Based Resource Optimizer - reinforcement learning for real-time allocation decisions
- ✓GPU compute cluster for model training
- ✓Anonymized enterprise billing datasets
- ✓MLOps pipeline infrastructure
- ✓Real-time streaming cost data feeds
Government Finance Lab
Study cloud financial management in public sector contexts, including procurement regulations, compliance, and multi-agency governance.
Federal Cloud Procurement Study - analyzing procurement efficiency across agencies
Compliance Cost Analysis - measuring the financial impact of security compliance on cloud costs
Multi-Agency Governance Framework - designing shared services models for government cloud
- ✓FedRAMP-aligned test environments
- ✓Government procurement datasets
- ✓Policy simulation frameworks
- ✓Compliance verification tools
Research Data & Computing Resources
All labs share access to a comprehensive set of data resources and computing infrastructure.
Billing Data Repository
Anonymized enterprise cloud billing data from multiple industries and cloud providers. Updated monthly with new contributions.
Multi-Cloud Sandbox
Research-grade accounts on AWS, Azure, and GCP for experimentation, benchmarking, and tool development.
High-Performance Computing
GPU cluster for ML model training, large-scale data processing, and simulation workloads.
Pricing History Database
Historical cloud pricing data across all major providers, regions, and service types dating back 5+ years.
Experimentation Platform
Jupyter Hub environment with pre-configured libraries, datasets, and visualization tools for rapid experimentation.
Publication Platform
Internal pre-print server for working papers, peer review workflow, and publication pipeline to external venues.
Industry & Academic Partners
Our research labs collaborate with cloud providers, enterprises, and academic institutions worldwide.
Cloud Provider Research Programs
Partnerships with major cloud providers for data access, research grants, and joint publication opportunities. Providers benefit from independent analysis of their pricing and service economics.
Enterprise Data Partnerships
Anonymized data sharing agreements with enterprises that contribute cloud billing data for research. Partners receive early access to research findings and optimization recommendations.
Academic Collaborations
Joint research projects with universities worldwide. Faculty exchange programs, shared datasets, and co-authored publications across institutions.
Open Source Contributions
Research tools and datasets are released as open source where possible. Lab teams contribute to FinOps open source projects and tooling.
Ways to Contribute
Submit a Proposal
Faculty and PhD students can submit research proposals for lab-hosted projects. Funded proposals receive cloud credits and data access.
Apply as Research Fellow
Join a lab as a full-time research fellow. 2-3 year funded positions with industry placement opportunities.
Data Contribution
Enterprises can contribute anonymized billing data to support research. Contributors receive early access to findings.
Visiting Researcher
Spend a semester embedded in one of our labs. Available to faculty and senior PhD students from partner institutions.