University of Michigan · Civil & Environmental Engineering

Center for Digital Asset Finance

Efficient Financing for Intelligent Infrastructure

Our mission: bridge the infrastructure finance gap, and democratize access to quality-of-life services through digital innovations in data-driven business models and systems design.

Three-stage workflow: data sourcing, AI/ML predictions, and pricing and valuations
Why this Center exists

The infrastructure finance gap is a data problem

Public funding is far below what is needed to maintain, improve and expand the systems we depend on.

Public investment in U.S. infrastructure is shifting toward high-performing, high-capacity and resilient systems. Current funding levels fall well short of what it takes to maintain, improve and expand capacity, and underperforming systems carry real economic costs. Serving the public good requires alternative financing mechanisms.

Intelligent infrastructure opens that door. Roads and bridges, water and energy systems, buildings and industrial operations are becoming connected and automated through sensors and computation. The performance data they generate can attract new investors, drawn by information efficiency and by premiums when an asset beats its performance targets.

Civil and environmental engineering is at the forefront of infrastructure finance innovation. Engineers know how physical assets perform. Enterprise AI platforms can combine sensor, operational and market data so that knowledge reprices assets in real time instead of at issuance. Valuations then reflect measured risk and performance, which lowers financing costs and makes public dollars go further.

Assets we study

From the Soo Locks to the data center

Select a tile to open the related research theme. Photos via Wikimedia Commons: USACE (public domain), U.S. Marine Corps (public domain), ncwetlands.org (CC0), Chad Davis (CC BY 2.0).

Mission

To bridge the infrastructure finance gap, and democratize access to quality-of-life services through digital innovations in data-driven business models and systems design, by delivering innovative educational programs, research and public/private partner projects.

Vision

Develop and test financial models that accelerate investment, design and scalability of smart, resilient and sustainable infrastructure through:

  1. 01Use of AI agents and enterprise platforms to price ESG risk for resilient infrastructure investment
  2. 02Debt securitization of loans against smart-asset performance data
  3. 03Fractionalization and tokenization of real-asset valuation on blockchain infrastructure
  4. 04Business-to-business market solutions using data sales and auction models
  5. 05Web scraping, natural language processing and machine learning tools
  6. 06Engineering models for designing sustainability-linked bonds and loans
  7. 07Actuarial modeling and testing of risk-transfer models: swaps, options, insurance
  8. 08Data and financial network mapping for supply-chain risk and data-market adoption
Futuring 2035: an arc from real asset to financial asset through case studies, digital twinning, tokenization, data markets and digital banking
Futuring 2035: the path from real asset to financial asset.
Our value proposition

Three ways the Center adds value

City skyline at dusk
ResearchCatalyze new research areas at the boundary of engineering and finance.Research themes →
Students working through a financial model with faculty
EducationAdvance educational paradigms, starting with the MEng in Smart Infrastructure Finance.The SIF MEng →
Digital twin rendering of a city block
Corporate engagementOpen up the job market for civil and environmental engineers in finance and data.Partner with us →
3D engineering model of a roadway corridor
Immersive 3DSee how performance data connects to financingExplore the Center's immersive 3D experience of a connected infrastructure corridor.Open the experience on difin.io ↗
Corporate advisors

Industry leaders who guide the Center

Darren Wolfberg
Darren Wolfberg
Founder & CEO, Triangle Digital (Blockchain Triangle)
LinkedIn ↗
Mayank Gupta
Mayank Gupta
CEO, Case Basix
LinkedIn ↗
Tim Dekker
Tim Dekker
CEO, LimnoTech
LimnoTech profile ↗
Jason Koenig
Jason Koenig
Co-Founder, ITE Management
LinkedIn ↗
Giridhar Srinivasan
Giridhar Srinivasan
Co-founder & CEO, Infraclear
LinkedIn ↗