Data Catalyst Institute
The Data Catalyst Institute (DCI) is a research organization focused on informing and improving global public policy and thoughtful discourse within our data-driven economy.
Economic abundance, competitive markets, private investment, technological innovation, and widespread adoption are foundations of American growth and leadership.
The Data Catalyst Institute is focused on the foundations of the frontier economy: energy, compute, and work.
We produce rigorous research and analysis on how market-oriented economies can accelerate innovation, expand productive capacity, and translate technological advancement into durable growth. Our work enables business and policy leaders to understand how governments, markets, and public understanding shape that progress.
Energy
The frontier economy is colliding with an energy system built for a slower era. DCI examines the conditions under which market-driven economies can expand reliable, affordable energy fast enough to sustain innovation, growth, and technological leadership.
Topical areas of interest include:
- Energy abundance
- Electricity generation
- Grid capacity
- Alternative energy
- Financing and investment
- Emerging technologies and startups
- Geopolitical perspectives
Compute
The race to lead in AI and the wider frontier economy runs through computing capacity. DCI studies the systems, markets, and policies determining where compute gets built, how quickly capacity can expand, and who captures the economic and strategic advantage.
Topical areas of interest include:
- Artificial intelligence
- Data centers
- Chips and semiconductors
- Quantum computing
- Cryptocurrency and blockchain
- Robotics and automation
Work
Frontier technologies have moved inside organizations and are rapidly reshaping how work gets done. DCI examines how companies, workers, and policymakers can adapt fast enough to capture the productivity gains of AI, build trust and accelerate adoption inside organizations, and compete in an economy being continually reorganized.
Topical areas of interest include:
- AI adoption, training, and trust
- Workforce automation
- AI tools and workforce transformation
- Human-AI collaboration
- Human resources, skills, and hiring
- Organizational growth
DCI approaches energy, compute, and work as interconnected arenas of competition over investment, innovation, productivity, industrial capacity, and economic strength. These systems increasingly constrain and reinforce one another. More compute requires more energy. More technological capability only creates value when businesses deploy it effectively. Greater productivity and economic growth create further demand for energy, infrastructure, investment, and innovation. DCI exists to study this system as a whole.
DCI pursues its mission through original research and collaboration with organizations working on aligned issues.