An idea becomes a field.
The Dartmouth Summer Research Project brought researchers together to explore machine intelligence. The workshop helped establish artificial intelligence as a scientific field.
Read the Dartmouth history
Understanding the AI era · Powered by National Data SystemIntelligence has
Intelligence has
a history.
Its future has
a geography.
We use datasets to tell the story of life, with AI as the interpreter and National Data System as the foundation. Explore the history, geography, and infrastructure behind that intelligence.
From scientific idea to shared opportunity
01 / The foundationsA long history.
1956
A long history.
A new chapter.
Today’s AI grew from decades of research, experimentation, setbacks, and breakthroughs. Explore a few of the milestones that changed the field.
The next chapter connects model capability with the data, infrastructure, and human decisions that give it practical value.
02 / Intelligence meets placeA better question
A better question
starts with where.
A geospatial intelligence system connects information to location. Add AI, and imagery, public records, and geographic relationships can help reveal patterns in how communities and markets work.
CommunitiesWhere do people need better access to childcare, health care, housing, or transportation?
OpportunityWhere do workforce capacity, business demand, and infrastructure align?
ResilienceWhere do environmental exposure and essential services intersect?
Explore the science: USGS geospatial AI
Geospatial intelligence systemConceptual framework
01
Source evidence
Imagery · public records · observations
02
Geographic context
ZIPs · cities · counties · regions
03
Analysis & interpretation
Patterns · relationships · comparisons
Decision support, grounded in place.
A framework for understanding the system, rather than a live map or scored dashboard.
The intelligence we offerPowered by
01 / Geographic intelligenceUnderstand your market
02 / Connected dataMake separate datasets
03 / Decision toolsTurn a question into
Powered by
National Data System.
National Data System connects the evidence behind everyday life. AI helps interpret patterns and relationships; geographic context gives them meaning. We turn that foundation into research, data journalism, and tools built around your question.
Understand your market
and your community.
Explore profiles and research across ZIP codes, cities, counties, districts, and regions. Connect people, workforce, businesses, infrastructure, and local conditions.
Explore the geographic foundationMake separate datasets
work together.
Discuss data services, geographic crosswalks, dataset licensing, and API partnerships. Define the evidence, geography, and update needs for your project.
Discuss your data needsTurn a question into
working intelligence.
Discuss dashboards, research briefings, data journalism, embedded intelligence, and scenario tools for business, public policy, and community decisions.
Explore NDS decision tools03 / The physical foundationBehind every model,
Behind every model,
there is infrastructure.
Data centers house the computing and storage that support AI. Their growth connects technology to electricity, cooling, networks, and the communities around them.
The AI conversation belongs in the boardroom, the classroom, and the community.
Start with the systems that make computation possible.Explore the DOE data center resource hubElectricity & grid capacity
Computing depends on reliable power. Capacity, interconnection, and the effects on existing customers belong in the same discussion as investment and growth.
Cooling & water
Servers generate heat. Cooling approaches, local climate, water availability, and efficiency influence how a facility operates and how it fits its location.
Connectivity & land
Fiber networks move information between users and computing resources. Site access, land suitability, and nearby infrastructure help define a location’s practical potential.
Workforce & community impact
A project should be understood through its construction and operating needs, workforce preparation, local costs, and community benefits. Compare project-specific evidence before drawing conclusions.
04 / The evidence layerBetter intelligence
People & places Earth & environment Energy & capacity Public data discovery Connected intelligence Learning & participation
Better intelligence
begins with better data.
Useful datasets answer different questions. Start with authoritative sources, then examine their geography, dates, definitions, and limits before combining them.
U.S. Census Bureau
Population, households, businesses, and geographic boundaries help describe the communities behind the numbers.
Explore Census dataU.S. Geological Survey
Maps, elevation, land, and water information provide geographic and environmental context.
Explore USGS dataU.S. Energy Information Administration
Energy supply, generation, and consumption data support questions about the physical foundation of AI.
Explore EIA open dataData.gov
A discovery point for U.S. government datasets across many topics. Check each publisher’s documentation before use.
Browse public datasetsNational Data System
Explore an approach that connects source evidence, geographic context, and governed interpretation into decision tools.
Explore National Data SystemAI Chamber
Connect public learning with AI infrastructure, regional intelligence, and opportunities to participate in a wider network.
Explore AI ChamberFive questions to ask of any dataset.
Who published it? What does it measure? Which places and people does it cover? How current is it? What uncertainty, privacy restrictions, or missing records affect its use?
05 / Participate in the AI eraThe future needs
The future needs
more voices at the table.
AI is changing how we work, learn, build, and govern. AI Chamber membership is an invitation to connect with the people and institutions shaping that change.
Bring the perspective of your business, community, profession, or institution into a shared conversation about opportunity and responsible progress.
Explore AI Chamber membershipMembership options and inquiries are handled directly by AI Chamber.
Advocacy with a shared purpose
Unite voices around AI literacy, responsible innovation, workforce readiness, and broader participation.
Infrastructure with public relevance
Connect the discussion about data centers and investment to the places and people they affect.
Opportunity across the AI era
Make room for entrepreneurs, educators, researchers, public leaders, and communities in the conversation.
National Data System in the newsroomDatasets tell
Consumers & everyday systems Public policy & accountability Tourism, economy & place Beauty, business & workforce
Datasets tell
the story of life.
AI helps interpret the data. National Data System provides the connected evidence. Our publications turn that work into stories about consumers, communities, public policy, business, and the places we call home.
Consumer Magazine
Consumer.info connects data journalism with consumer issues, financial systems, complaints, and the conditions affecting households.
Read Consumer MagazineTexas Capital Report
Data-informed reporting connects Texas policy, public institutions, and community conditions to questions of accountability and public value.
Read Texas Capital ReportRiver Walk Magazine
Place-based reporting connects San Antonio, tourism, hospitality, and economic change to the data behind the story.
Read River Walk MagazineBeauty Spot Magazine
Industry-focused reporting connects beauty businesses, professional licensing, workforce, and local markets to the evidence behind opportunity.
Read Beauty Spot MagazineThe NDS connection
The dataset provides the evidence. AI helps interpret it. Geography provides the context. Editorial judgment shapes the story. National Data System connects the foundation behind each step.
Explore the NDS newsroomConnected intelligence & participationOne foundation.
One foundation.
Ways to explore it.
Go deeper into National Data System, explore geographic research, meet the founder, or participate through AI Chamber.
National Data System
The foundation for geographic intelligence, connected data, research, and decision tools.
Explore NDSAI Chamber
A destination for AI learning, participation, membership, and shared advocacy.
Explore AI ChamberGeoSystems Institute
Explore geographic intelligence, methodology, training, and systems research.
Explore the instituteChristopher C. Herring
Learn about the founder behind National Data System and connect with his leadership and speaking work.
Meet the founderQuestions & partnershipsWhat do you need
What do you need
intelligence to answer?
Tell us about your question, the geography that matters, and the decision you are working toward. Start a conversation about National Data System research, data services, decision tools, or a partnership.
Interested in AI Chamber membership?
Explore current options directly through AI Chamber’s joining page.
Keep exploringUnderstand the terms.
Understand the terms.
Ask better questions.
What is artificial intelligence, in plain language?
Artificial intelligence is a field of computing focused on systems that perform tasks associated with intelligence, such as recognizing patterns, interpreting language, making predictions, and generating content. The ability to perform one task well does not mean a system understands everything.
How does AI learn?
Many AI systems learn patterns from examples during training. A model adjusts its internal parameters as it processes data, then uses what it has learned to produce outputs for new inputs. Learning a pattern does not guarantee that an answer is accurate or appropriate.
What is the difference between AI and superintelligence?
AI describes a broad field of systems that perform tasks associated with intelligence. Superintelligence is a proposed form of intelligence that would exceed human abilities across a broad range of tasks. It is a concept for discussing possible futures, rather than a capability demonstrated by this website.
How is geospatial intelligence different from a map?
A map shows where things are. A geospatial intelligence system brings location together with evidence, relationships, and analysis to help explain what is happening and inform decisions. Its conclusions still depend on source quality and appropriate interpretation.
Why are data centers important to AI?
AI training and use require computing hardware, storage, and networks. Data centers bring these resources together and keep them operating with electricity, cooling, and supporting systems. Different AI tasks have different computing needs.
What is a dataset, and why does its quality matter?
A dataset is an organized collection of information, such as images, geographic boundaries, measurements, or public records. Its quality affects what an AI system can learn and what an analyst can conclude. Missing records, outdated information, inconsistent definitions, and unrepresentative examples can change the result.
Can I use these datasets for my own project?
The resources here link to their original publishers. Review the dataset’s documentation, license or terms of use, update date, and privacy requirements. Access conditions and technical requirements vary by source; a link here does not grant additional rights.
Does a data center automatically make a city AI-ready?
A facility is one part of a larger ecosystem. Workforce, connectivity, reliable energy, institutions, business demand, and community conditions also matter. A readiness claim needs a defined method and evidence.
What can I request from National Data System?
Use the inquiry form to discuss geographic research, connected datasets, licensing or API needs, dashboards, decision tools, or a partnership. Describe your question and the places it concerns so the conversation can begin with a clear scope.
How do I participate in AI Chamber?
Visit AI Chamber’s joining page to explore its current membership and participation options. This website provides an educational starting point; applications and inquiries take place on AI Chamber’s website.