Your data center is either closer than you think or much farther away

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A map of U.S. data centers. Courtesy of Rice Businesses Wisdom

A new study shows why some facilities cluster in cities for speed and access, while others move to rural regions in search of scale and lower costs. Based on research by Tommy Pan Fang (Rice Business) and Shane Greenstein (Harvard).

Key findings:

  • Third-party colocation centers are physical facilities in close proximity to firms that use them, while cloud providers operate large data centers from a distance and sell access to virtualized computing resources as on‑demand services over the internet.
  • Hospitals and financial firms often require urban third-party centers for low latency and regulatory compliance, while batch processing and many AI workloads can operate more efficiently from lower-cost cloud hubs.
  • For policymakers trying to attract data centers, access to reliable power, water and high-capacity internet matter more than tax incentives.

Recent outages and the surge in AI-driven computing have made data center siting decisions more consequential than ever, especially as energy and water constraints tighten. Communities invest public dollars on the promise of jobs and growth, while firms weigh long-term commitments to land, power and connectivity.

Against that backdrop, a critical question comes into focus: Where do data centers get built — and what actually drives those decisions?

A new study by Tommy Pan Fang (Rice Business) and Shane Greenstein (Harvard Business School) provides the first large-scale statistical analysis of data center location strategies across the United States. It offers policymakers and firms a clearer starting point for understanding how different types of data centers respond to economic and strategic incentives.

Forthcoming in the journal Strategy Science, the study examines two major types of infrastructure: third-party colocation centers that lease server space to multiple firms, and hyperscale cloud centers owned by providers like Amazon, Google and Microsoft.

Two Models, Two Location Strategies

The study draws on pre-pandemic data from 2018 and 2019, a period of relative geographic stability in supply and demand. This window gives researchers a clean baseline before remote work, AI demand and new infrastructure pressures began reshaping internet traffic patterns.

The findings show that data centers follow a bifurcated geography. Third-party centers cluster in dense urban markets, where buyers prioritize proximity to customers despite higher land and operating costs. Cloud providers, by contrast, concentrate massive sites in a small number of lower-density regions, where electricity, land and construction are cheaper and economies of scale are easier to achieve.

Third-party data centers, in other words, follow demand. They locate in urban markets where firms in finance, healthcare and IT value low latency, secure storage, and compliance with regulatory standards.

Using county-level data, the researchers modeled how population density, industry mix and operating costs predict where new centers enter. Every U.S. metro with more than 700,000 residents had at least one third-party provider, while many mid-sized cities had none.

ImageThis pattern challenges common assumptions. Third-party facilities are more distributed across urban America than prevailing narratives suggest.

Customer proximity matters because some sectors cannot absorb delay. In critical operations, even slight pauses can have real consequences. For hospital systems, lag can affect performance and risk exposure. And in high-frequency trading, milliseconds can determine whether value is captured or lost in a transaction.

“For industries where speed is everything, being too far from the physical infrastructure can meaningfully affect performance and risk,” Pan Fang says. “Proximity isn’t optional for sectors that can’t absorb delay.”

The Economics of Distance

For cloud providers, the picture looks very different. Their decisions follow a logic shaped primarily by cost and scale. Because cloud services can be delivered from afar, firms tend to build enormous sites in low-density regions where power is cheap and land is abundant.

These facilities can draw hundreds of megawatts of electricity and operate with far fewer employees than urban centers. “The cloud can serve almost anywhere,” Pan Fang says, “so location is a question of cost before geography.”

The study finds that cloud infrastructure clusters around network backbones and energy economics, not talent pools. Well-known hubs like Ashburn, Virginia — often called “Data Center Alley” — reflect this logic, having benefited from early network infrastructure that made them natural convergence points for digital traffic.

Local governments often try to lure data centers with tax incentives, betting they will create high-tech jobs. But the study suggests other factors matter more to cloud providers, including construction costs, network connectivity and access to reliable, affordable electricity.

When cloud centers need a local presence, distance can sometimes become a constraint. Providers often address this by working alongside third-party operators. “Third-party centers can complement cloud firms when they need a foothold closer to customers,” Pan Fang says.

That hybrid pattern — massive regional hubs complementing strategic colocation — may define the next phase of data center growth.

Looking ahead, shifts in remote work, climate resilience, energy prices and AI-driven computing may reshape where new facilities go. Some workloads may move closer to users, while others may consolidate into large rural hubs. Emerging data-sovereignty rules could also redirect investment beyond the United States.

“The cloud feels weightless,” Pan Fang says, “but it rests on real choices about land, power and proximity.”

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This article originally appeared on Rice Business Wisdom. Written by Scott Pett.

Pan Fang and Greenstein (2025). “Where the Cloud Rests: The Economic Geography of Data Centers,” forthcoming in Strategy Science.

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Search trends predict future retail revenue up to three quarters in advance. Photo via Pexels

Forecasting retail sales just got smarter, thanks to Google searches

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Imagine being able to predict the future of retail sales — not with months-old economic reports, but with real-time digital breadcrumbs left behind by consumers. Thanks to new research from K. Ramesh (Rice Business) and Gary Lind (University of Pittsburgh), that future is already here.

Key findings

  • Search trends predict future retail revenue — up to three quarters ahead.
  • Markets don’t fully price in search-based insights, especially before earnings announcements.
  • Trading strategies using search data outperform traditional asset-pricing models by 2–3%.
  • Analysts often underuse this data, resulting in predictable forecast errors.
  • At the macro level, search trends closely track — and often lead — official retail sales and GDP.

Their study shows that Google search trends are powerful predictors of consumer demand, capable of forecasting U.S. retail sales up to three quarters in advance. The implications span industries and audiences — from Wall Street traders to Main Street retailers, and from data-driven CFOs to curious business students.

A smarter, faster crystal ball for retail demand

Retail sales drive nearly 70% of U.S. gross domestic product (GDP), making them one of the most important indicators of economic health. Yet traditional forecasting relies heavily on backward-looking data and broad economic indicators. Ramesh and Lind’s work offers a leap forward: search data from Google Trends — publicly available and easy to use — can offer a faster, more precise signal of where sales are headed.

“If you want to understand consumer demand,” says Ramesh, the Herbert S. Autrey Professor of Accounting at Rice Business, “look at what people are searching for — not just what companies report after the fact. These digital footprints can tell us where revenue is going, often before the market catches up.”

This low-cost approach stands in stark contrast to expensive alternatives, such as satellite images of parking lots, in-store foot traffic from mobile data, or retail scanner feeds — tools often reserved for hedge funds and large institutional investors. Google Trends offers a scalable, accessible option for anyone seeking insight into consumer behavior.

Why this matters for investors and analysts

The researchers analyzed search patterns for nearly 200 publicly traded U.S. retail companies between 2004 and 2019. They found that firms with rising search volumes tend to report higher revenues — often well before analysts or investors react.

In fact, investment strategies built around these trends earned 2–3% higher returns than traditional models would predict. And most of these gains were concentrated around earnings announcements — a sign that markets were slow to recognize what search data had already revealed.

The advantage is even more striking for companies that fly under Wall Street’s radar. For firms with limited analyst coverage, the predictive power of search data on stock performance was more than 80% stronger.

A new tool for analysts — if they’ll use it

Despite the clear signal in the data, the study finds that analysts routinely fail to incorporate search-based insights into their forecasts. That gap translates into missed revenue predictions and market inefficiencies — which sophisticated investors can exploit.

“The search data are out there,” says Lind, a Rice Business Ph.D. ’19 graduate now on faculty at Pitt Business. “They’re public, powerful, and free. Analysts who ignore them are missing an opportunity.”

The impact of this research extends well beyond equity markets. By aggregating Google search data across the retail sector, the authors found strong alignment with U.S. Census retail sales figures and GDP trends. In other words, these digital signals reflect not just firm-level interest, but macroeconomic momentum.

A data wake-up call

This makes search trends a potentially valuable early-warning system for policymakers, central banks, and anyone responsible for interpreting the economic landscape. During volatile or uncertain periods, such tools could offer precious foresight into shifting consumer behavior.

In a digital era where consumers research before they shop — whether online or in-store — it’s no surprise that their Google queries leave valuable clues. What’s surprising is how often businesses, investors, and even economists still overlook them, Ramesh says. “Search data is a goldmine. And it's just sitting there, waiting to be used.”

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This article originally appeared on Rice Business Wisdom.

Lind and Ramesh, “Using Internet Search Data to Predict Aggregate Retail Sales and Enhance Firm-Level Revenue Expectations,” Contemporary Accounting Research (April 2025): 1-32. https://doi.org/10.1111/1911-3846.13043.

There's no crystal ball, but this researcher from Rice University is trying to see if some metrics work for economic forecasting. Photo via Getty Images

Houston researcher tries to crack the code on the Fed's data to determine economic outlook

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Research by Rice Business Professor K. Ramesh shows that the Fed appears to harvest qualitative information from the accounting disclosures that all public companies must file with the Securities and Exchange Commission.

These SEC filings are typically used by creditors, investors and others to make firm-level investing and financing decisions; and while they include business leaders’ sense of economic trends, they are never intended to guide macro-level policy decisions. But in a recent paper (“Externalities of Accounting Disclosures: Evidence from the Federal Reserve”), Ramesh and his colleagues provide persuasive evidence that the Fed nonetheless uses the qualitative information in SEC filings to help forecast the growth of macroeconomic variables like GDP and unemployment.

According to Ramesh, the study was made possible thanks to a decision the SEC made several years ago. The commission stores the reports submitted by public companies in an online database called EDGAR and records the IP address of any party that accesses them. More than a decade ago, the SEC began making partially anonymized forms of those IP addresses available to the public. But researchers eventually figured out how to deanonymize the addresses, which is precisely what Ramesh and his colleagues did in this study.

"We were able to reverse engineer and identify those IP addresses that belonged to Federal Reserve staff," Ramesh says.

The team ultimately assembled a data set containing more than 169,000 filings accessed by Fed staff between 2005 and 2015. They quickly realized that the Fed was interested only in filings submitted by a select group of industry leaders and financial institutions.

But if Ramesh and his colleagues now had a better idea of precisely which bellwether firms the Fed focused on, they still had no way of knowing exactly what Fed staffers had gleaned from the material they accessed. So the team decided to employ a measure called "tone" that captures the overall sentiment of a piece of text – whether positive, negative, or neutral.

Building on previous research that had identified a set of words with negatively toned financial reports, Ramesh and his colleagues examined the tone of all the SEC filings accessed by Fed staff between one meeting of the Federal Open Markets Committee (FOMC) and the next. The FOMC sets interest rates and guides monetary policy, and its meetings provide an opportunity for Fed officials to discuss growth forecasts and announce policy decisions.

The researchers then examined the Fed's growth forecasts to see if there was a relationship between the tone of the documents that Fed staff examined in the period between FOMC meetings and the forecasts they produced in advance of those meetings.

The team found close correlations between the tone of the reports accessed by the Fed and the agency’s forecasts of GDP, unemployment, housing starts and industrial production. The more negative the filings accessed prior to an FOMC meeting, for example, the gloomier the GDP forecast; the more positive the filings, the brighter the unemployment forecast.

Ramesh and his colleagues also compared the Fed's forecasts with those of the Society of Professional Forecasters (SPF), whose members span academia and industry. Intriguingly, the researchers found that while the errors in the SPF's forecasts could be attributed to the absence of the tonal information culled from the SEC filings, the errors in the Fed’s forecasts could not. This suggests both that the Fed was collecting qualitative information that the SPF was not—and that the agency was making remarkably efficient use of it.

"They weren’t leaving anything on the table," Ramesh says.

Having solved one mystery, Ramesh would like to focus on another; namely, how does the Fed identify bellwether firms in the first place?

Unfortunately, the SEC no longer makes IP address data publicly available, which means that Ramesh and his colleagues can no longer study which companies the Fed is most interested in. Nonetheless, Ramesh hopes to use the data they have already collected to build a model that can accurately predict which firms the Fed is most likely to follow. That would allow the team to continue studying the same companies that the Fed does, and, he says, “maybe come up with a way to track those firms in order to understand how the economy is going to move.”

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This article originally ran on Rice Business Wisdom and was based on research from K. Ramesh is Herbert S. Autrey Professor of Accounting at Jones Graduate School of Business at Rice University.

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Houston university ranks No. 10 best in the U.S. in new 2027 report

Rice Ranking

Education ranking and review website Niche has released its 2027 rankings of the best colleges in the U.S., and Rice University leads as the No. 1 best university in Texas, and No. 10 best nationwide.

Niche's annual rankings compared over 4,000 colleges and universities based on their academics, value, student life, career preparation, and more. Schools receive letter grades across 14 metrics, which were expanded this year to include Student Wellness and Future Readiness.

Also new to this year's rankings, Niche implemented an "Institutional Success Score" that "places every college into one of 10 mission-based categories" and compared each school against "outcomes aligned with that mission," which included research institutions, social mobility-focused colleges, and religious institutions, among others.

Rice University ranked 10th in three national lists: Best Colleges in America, Top Private Universities, and Colleges with the Best Professors.

Rice also received the following top-100 rankings:

  • No. 11 – Most Diverse Colleges
  • No. 14 – Best College Campuses
  • No. 15 – Colleges With the Best Academics
  • No. 20 – Colleges With the Best Student Life
  • No. 23 – Hardest Colleges To Get Into
  • No. 27 – Best Colleges for Student Athletes
  • No. 69 – Best College Dorms
  • No. 70 – Best Value Colleges
  • No. 74 – Best College Locations
  • No. 89 – Best College Food
On the local front, University of Houston and two of its branch campuses also ranked among the top 20 best universities in Texas. UH ranked a respectable No. 7 in the statewide list, and it ranked as the 123rd best university in the U.S. It fared better in the nationwide list of the Best Big Colleges, appearing at No. 53, and ranked 54th in Niche's Top Public Universities list.


The University of Houston-Clear Lake branch ranked as the 11th best Texas university and came in at No. 192 overall. It's the 33rd Best Hispanic Serving Institution (HSI), the 69th Best Value College, and it ranked 89th in the Top Public Universities list.

University of Houston Downtown is the 13th Best Online College in America, the 15th best university in Texas, and it's the 49th Best HSI in America. In the overall list of the best universities, UHD ranked 231st.Top education institutions across Texas

Three other Texas universities outside Houston excelled on Niche's list of the 100 Best Colleges in America.

The University of Texas at Austin ranked second statewide and 30th nationwide, and topped the list of Colleges With the Best Student Life. UT Austin also racked up top-10 acclaim in the separate lists of the Best College Locations (No. 4), Top Public Universities (No. 5), Best Big Colleges (No. 6), Best College Campuses (No. 10), and Best Colleges For Student Athletes (No. 10).

Texas A&M University in College Station and Trinity University in San Antonio round out the remaining Texas institutions that ranked among the top 100 overall. The Aggies ranked 52nd nationwide, and the Trinity Tigers ranked 65th overall.

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This article originally appeared on CultureMap.com.

10 can't-miss events at Houston Energy and Climate Week 2026

HECW lineup

Editor's note: Houston Energy and Climate Week returns for its third year, Sept. 12–18, with panels, happy hours, pitch days and tours focused on the energy transition.

The Ion District will host many of the week's events. Here are details on some can't-miss, signature events and how to register. Find the full schedule here. Please note: this article may be updated to add more events.

Sept. 13 — The & Awards

Kick off the week by celebrating Houston honorees leading the future of energy at the & Awards. The & Awards will honor Zay Zeidman, chairman of Houston First and managing partner of Altitude Ventures; The University of Houston's Renu Khator and Ramanan Krishnamoorti; Maryanne Maldonado, CEO of the World Affairs Council; and Fervo Energy co-founders Tim Latimer (CEO) and Jack Norbeck (CTO). The inaugural posthumous Lifetime Ambassador Award will honor former Houston Mayor Sylvester Turner, and this year’s Allies in Energy grant recipients will also be recognized. The evening will include a fireside chat, an immersive gallery, live music, passed hors d'oeuvres, Champagne and plenty of networking opportunities.

This event is Sunday, Sept. 13, from 6-9 p.m. at ARTECHOUSE Houston. Register here.

Sept. 14 — Brews on the Bayou

Head to Saint Arnold Brewery for a more laid-back kickoff event. Grab a beer and take in a live conversation with Paul Hobby, managing director of Genesis Park, and Katie Mehnert, CEO of The Bee Suite and co-founder of HECW. Rice University's Aaron Pomerantz will moderate the discussion. Then hear a live performance from AY Young.

This event is Monday, Sept. 14, from 6-9 p.m. at Saint Arnold Brewery. Register here.

Sept. 14–18 — Sip For Sustainability

Enjoy a signature cocktail at five H Town Restaurant Group spots each night of Houston Energy and Climate Week. A portion of every purchase will go toward Allies in Energy, which supports education, collaboration, and community programs that drive a more sustainable future. Participating eateries include Hugo's, Xochi, Uber, Zaranda and Caracol.

These events begin Monday, Sept. 14, from 3-5 p.m. Find more information on each day's happy hour here.

Sept. 15 — HTX Tech Tours

HECW will present two Tech Tours this year, offering attendees a closer look at the region's climatech scene. The Metro Innovation Tour & Market will visit Sugar Land Town Square, Shell Technology Center Houston, SLB West Houston Campus, University of Houston at Sugar Land, Ambrosia Space, NanoTech Materials and Syzygy Plasmonics. The Bay City South Innovation Tour will visit Sugar Land Town Square and Erthos Project Bravo in Matagorda County. Both tours will head to Astros Night at Daikin Park to wrap up the day.

These events are Tuesday, Sept. 15. Find more information here.

Sept. 15 — Meet the Activate Houston Cohort 2026 Fellows

Meet Activate's latest cohort, which was named this summer, and learn more about their hardtech and climate-focused solutions. Also meet founders from the organization’s 2025 cohort during Houston Energy and Climate Startup Week.

This event is Tuesday, Sept. 15, from 5-7 p.m. at the Ion. Register here.

Sept. 15 – Cypher Pilotathon and Startup Showcase

Grab coffee and take in keynotes and panels featuring leaders from Amperon, Aramco Ventures, New Climate Ventures, Syzygy Plasmonics and many others during this signature event, this year under the theme “The NEW Energy Industrial Revolution.” After lunch, hear pitches from 31 ventures during the Pilotathon. This year's event will also feature a startup showcase with interactive booths where attendees can meet founders and see demonstrations, plus an industry hub where corporates and investors can engage with emerging technologies and identify the pilots they want to move forward with.

This event is Tuesday, Sept. 15, from 9 a.m.-5 p.m. at POST Houston. Get tickets here.

Sept. 15 — Houston Astros Energy Night

Catch a game and chat with fellow clean energy enthusiasts during Houston Astros Energy Night. The 'Stros take on the Kansas City Royals. A bonus? Dollar Hot Dog Night at Daikin Park.

This event is Tuesday, Sept. 15, starting at 7:10 p.m. at Daikin Park. Get tickets here.

Sept. 16 — Greentown Labs Climatech Summit

Entrepreneurs, investors, corporate leaders, policymakers and philanthropists will head to Houston this month for the annual Greentown Climatetech Summit. Hear from Greentown CEO Georgina Campbell Flatter and keynote speaker Tim Latimer, CEO and co-founder of Houston geothermal unicorn Fervo Energy, plus numerous other engaging panels at the Ion. Then head to Greentown Labs for an open house and startup showcase, where attendees can meet some of the climatech incubators' members, before taking in the startup pitch competition followed by happy hour over at the Continental Club.

This event is Wednesday, Sept. 16, from 8 a.m.–9 p.m. at multiple locations. Register here.

Sept. 17 — Rice Alliance Energy Tech Venture Forum

Hear from clean energy startups from around the world at the 23rd annual Energy Tech Venture Forum. In addition to the pitches, this event will also host keynotes from Sean Maher, chief economist at Phillips 66, and Ira Ehrenpreis, founder and managing partner of DBL Partner. Panels will focus on technologies, infrastructure and commercialization strategies needed to deploy breakthrough innovations at scale. Following the event, the Rice Alliance will also name its annual “Most Promising” startup.

This event is Thursday, Sept. 17, from 7:30 a.m.-5 p.m. at Rice University’s Jones Graduate School of Business. Register here.

Sept. 18 — Halliburton Labs Finalists Pitch Day

Hear from Halliburton Labs' latest cohort of entrepreneurs. The incubator aims to advance the companies’ commercialization with support from Halliburton's network, facilities and financing opportunities. Its latest cohort includes one company from Texas.

This event is Friday, Sept. 18, from 8 a.m.-noon at The Ion. Register here.

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This article originally appeared on our sister site, EnergyCapitalHTX.com.

2 leading Texas universities rank among world’s best for entrepreneurs

honor roll

The Lone Star State’s two biggest universities—the University of Texas at Austin and Texas A&M University—rank among the world’s best schools for entrepreneurs.

PitchBook’s annual list of the world’s top 100 universities for entrepreneurs takes into account both undergraduate and graduate programs. PitchBook analyzed more than 222,000 startup founders whose startups are VC-backed.

UT’s “unique” advantage

UT Austin landed at No. 10 on the list, down from No. 8 last year. PitchBook identified 1,002 UT-alumni founders at 948 startups. Collectively, those startups have raised $34.7 billion, according to PitchBook.

Among the 948 UT Austin-affiliated startups, these five have raised the most capital:

  • No. 1 Tucson, Arizona-based World View, $2.8 billion
  • No. 2 Austin-based Apptronik, $966 million
  • No. 3 Mountain View, California-based Lightmatter, $821 million
  • No. 4 Austin-based Function Health, $807 million
  • No. 5. San Francisco-based Niantic, $779 million

“The unique UT Austin advantage is the alignment between the university and the city,” Foundra.ai says. “Unlike schools where the campus ecosystem and the local startup scene are disconnected, Austin’s startup community actively recruits UT students and alumni, and UT programs actively send students into the local ecosystem.”

Texas A&M’s “living laboratory”

UT Austin’s biggest in-state rival, Texas A&M, appeared at No. 79 on the list, down from No. 76 last year. PitchBook tallied 317 A&M-alumni founders at 295 startups. Collectively, those startups have raised $9.8 billion, according to PitchBook.

Among the 317 A&M-affiliated startups, these five have raised the most capital:

  • No. 1 Austin-based RigUp, $817 million
  • No. 2 Austin-based ICON, $543 million
  • No. 3 Scottsdale, Arizona-based HomeLight, $413 million
  • No. 4 Everett, Washington-based Zap Energy, $326 million
  • No. 5 San Diego-based Splice Therapeutics, $320 million

A cornerstone of Texas A&M’s entrepreneurship offerings is the Center for Applied Entrepreneurship and Innovation at the Mays School of Business. The business school says the center “helps students explore, test, build, buy, and transform businesses in real markets.”

“Grounded in Texas as a living laboratory and guided by the Aggie core values, the center advances applied learning through industry engagement, AI-enabled experimentation, and collaboration across Mays and Texas A&M,” the business school says.

The most “exceptional” schools on PitchBook’s list

In announcing its rankings, PitchBook said: “Great entrepreneurs can come from anywhere, but some universities have a truly exceptional track record of attracting and producing future founders.”

The most exceptional universities, based on PitchBook’s criteria, are:

  • No. 1 University of California, Berkeley
  • No. 2 Stanford University
  • No. 3 Harvard University
  • No. 4 Cornell University
  • No. 5 Massachusetts Institute of Technology (MIT)
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