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.

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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Sandbox VR brings new gaming center to Houston's tech-savvy population

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Sandbox VR, a futuristic, full-body virtual reality gaming experience, has announced it will enter the Houston market this month, opening its first local gaming center on January 23.

"Houston's reputation as a hub for innovation and technology makes it a perfect fit for Sandbox VR," said Steve Zhao, CEO and founder of Sandbox VR, in a statement. "The city's diverse, tech-savvy population and strong entertainment culture create an ideal environment for our immersive VR experiences. LOL Entertainment continues to exceed our expectations as a partner, and we're excited to bring our cutting-edge virtual reality gaming to Texas's largest city."

The new gaming center opens Friday, January 23 at 797 Sorella Court in CityCentre.

One of the games that stands out is the Stranger Things: Catalyst game, based on the blockbuster Netflix television series. Groups of one to six players will be dropped into the sinister Hawkins Lab and the mysterious Upside Down to fight Demogorgons and other monsters. The game features Matthew Modine reprising his role as Dr. Martin "Papa" Brenner, who imbues players with psychic powers.

Other games include the supernatural pirate title The Curse of Davy Jones and other Netflix tie-ins based on Zack Snyder's Rebel Moon and Squid Game. Sandbox VR offers fully-immersive group play activities that range from combat to puzzle solving for a variety of age groups.

The opening of Sandbox VR is another part of the expansion of LOL Entertainment, who touts itself as one of the pre-eminent hosts of immersive and gaming experiences in the U.S. Sandbox VR will be their first entry into the Houston market, with another immersive group adventure game, Time Mission, set to open at the the Marq'E Entertainment District later this year.

“Bringing Sandbox VR to CityCentre Houston is a big milestone for LOL Entertainment, for Sandbox VR, and for this market,” said Rob Cooper, CEO of LOL Entertainment. “Houston is a fast-growing, experience-driven city, and we’re excited to give locals and visitors a truly immersive, social gaming destination that you can’t replicate anywhere.”

Presale tickets for the grand opening of Sandbox VR are available here. Standard pricing is $55-$65 per event, but Sandbox VR is running a special for 30 percent off with code OPEN30 for those who purchase before Thursday, January 22. Presale buyers are also entered into a drawing for free Sandbox VR for one year.

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This article originally appeared on CultureMap.com.

Baylor College of Medicine names Minnesota med school dean as new president, CEO ​

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Dr. Jakub Tolar, dean of the University of Minnesota Medical School, is taking over as president, CEO and executive dean of Houston’s Baylor College of Medicine on July 1.

Tolar—who’s also vice president for clinical affairs at the University of Minnesota and a university professor—will succeed Dr. Paul Klotman as head of BCM. Klotman is retiring June 30 after leading Texas’ top-ranked medical school since 2010.

In tandem with medical facilities such as Baylor St. Luke’s Medical Center and Texas Children’s Hospital, Baylor trains nearly half of the doctors who work at Texas Medical Center. In addition, Baylor is home to the Dan L Duncan Comprehensive Cancer Center and the Texas Heart Institute.

The hunt for a new leader at Baylor yielded 179 candidates. The medical school’s search firm interviewed 44 candidates, and the pool was narrowed to 10 contenders who were interviewed by the Board of Trustees’ search committee. The full board then interviewed the four finalists, including Tolar.

Greg Brenneman, chair of Baylor’s board and the search committee, says Tolar is “highly accomplished” in the core elements of the medical school’s mission: research, patient care, education and community service.

“Baylor is phenomenal. Baylor is a superpower in academic medicine,” Tolar, a native of the Czech Republic, says in a YouTube video filmed at the medical school. “And everything comes together here because science saves lives. That is the superpower.”

Tolar’s medical specialties include pediatric blood and bone marrow transplants. His research, which he’ll continue at Baylor, focuses on developing cellular therapies for rare genetic disorders. In the research arena, he’s known for his care of patients with recessive dystrophic epidermolysis bullosa, a severe genetic skin disorder.

In a news release, Tolar praises Baylor’s “achievements and foundation,” as well as the school’s potential to advance medicine and health care in “new and impactful ways.”

The Baylor College of Medicine employs more than 9,300 full-time faculty and staff. For the 2025-26 academic year, nearly 1,800 students are enrolled in the School of Medicine, Graduate School of Biomedical Sciences and School of Health Professions. Its M.D. program operates campuses in Houston and Temple.

In the fiscal year that ended June 30, 2024, Baylor recorded $2.72 billion in operating revenue and $2.76 billion in operating expenses.

The college was founded in 1900 in Dallas and relocated to Houston in 1943. It was affiliated with Baylor University in Waco from 1903 to 1969.

$50 million for Houston ibogaine research tops innovation news to know

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Editor's note: The Houston innovation scene is entering 2026 with fresh funding for startups and major grants for innovative health treatments and neurological research. Here are the five most-read InnovationMap stories to start the new year, published Jan. 1-15, 2026:

1. Houston hospitals win $50M grant for ibogaine addiction treatment research

UTHealth Houston and UTMB will lead IMPACT, an initiative working toward ibogaine-based treatments for addiction and neurological issues. Photo via Pexels.

The Texas Health and Human Services Commission has awarded $50 million to UTHealth Houston in collaboration with The University of Texas Medical Branch at Galveston (UTMB Health) to co-lead a multicenter research trial to evaluate the effect of ibogaine, a powerful psychoactive compound, on patients suffering from addiction, traumatic brain injury and other behavioral health conditions. The funding will establish a two-year initiative—known as Ibogaine Medicine for PTSD, Addiction, and Cognitive Trauma (IMPACT)—and a consortium of Texas health institutions focused on clinical trials and working toward potential FDA-approved treatments. Continue reading.

2. Rice scientist earns $600K NSF award to study distractions in digital age

Kirsten Adam, a Rice psychologist, is studying how the brain refocuses in the age of screens, instant gratification and other lingering distractions. Photo via Pexels.

Rice University psychologist Kirsten Adam has received a $600,000 National Science Foundation CAREER Award to research how visual distractions like phone notifications, flashing alerts, crowded screens and busy workspaces can negatively impact focus—and how the brain works to try to regain it. Adam’s work will aim to clarify how the brain refocuses in the age of screens, instant gratification and other lingering distractions. The funding will also be used to train graduate students in advanced cognitive neuroscience methods, expand access to electroencephalography (EEG) and for public data sharing. Continue reading.

3. TMC launches new biotech partnership with Republic of Korea

The Texas Medical Center and KBIOHealth have launched the TMC Republic of Korea BioBridge. Photo via LinkedIn.

Houston's Texas Medical Center has launched its new TMC Republic of Korea BioBridge. The new partnership brings together the TMC with the Osong Medical Innovation Foundation, or KBIOHealth. The Biobridge aims to support the commercialization of Korean biotech and life science startups in the U.S., foster clinical research, and boost collaboration in the public, private and academic sectors. Continue reading.

4. CPRIT CEO: Houston’s $2B in funding is transforming cancer research and prevention

Kristen Doyle, CEO of the Cancer Prevention and Research Institute of Texas (CPRIT). Photo courtesy CPRIT.

With its plethora of prestigious health care organizations like the University of Texas MD Anderson Cancer Center, UTHealth Houston, and the Baylor College of Medicine, Houston sits at the heart of cancer research and prevention in Texas. Of course, it takes piles of cash to support Houston’s status as the state’s hub for cancer research and prevention. Much of that money comes from the Cancer Prevention and Research Institute of Texas (CPRIT). Data supplied by CPRIT shows organizations in Harris County gained $2.3 billion in institute funding from 2009 through 2025, or nearly $145 million per year. That represents almost 60 percent of the roughly $4 billion that CPRIT has granted to Texas institutions over a 16-year period. Continue reading.

5. 14 Houston startups starting 2026 with fresh funding

From groundbreaking energy leaders to growing space startups, here's who secured funding in the last six months of 2025. Photo via Getty Images

Houston startups closed out the last half of 2025 with major funding news. Here are 14 Houston companies—from groundbreaking energy leaders to growing space startups—that secured funding in the last six months of the year, according to reporting by InnovationMap and our sister site EnergyCapitalHTX.com. Continue reading.

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