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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Houston digital health platform Koda lands strategic investment

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Houston-based advance care planning platform Koda Health has added another investor to the lineup.

The company secured a strategic investment for an undisclosed amount from UPMC Enterprises, the commercialization arm of the University of Pittsburgh Medical Center. The funding is part of Koda's oversubscribed series A funding round that closed in October, according to a release.

"UPMC Enterprises’ investment is a meaningful signal, not just to Koda, but to the broader market," Dr. Desh Mohan, chief medical officer and co-founder of Koda Health, said in the news release. "It validates that health systems are ready to invest in infrastructure that makes advance care planning work the way it should: proactively, at scale, and with the human support that these conversations require. Having UPMC Enterprises as a strategic investor puts us in a unique position to prove what's possible."

Koda has raised $14 million to date, according to a representative from the company. Its series A round was led by Evidenced, with participation from Mudita Venture Partners, Techstars and the Texas Medical Center last year. At the time, the company said the funding would allow it to scale operations and expand engineering, clinical strategy and customer success. The company described the round as a "pivotal moment," as it had secured investments from influential leaders in the healthcare and venture capital space.

Koda Health, which was born out of the TMC's Biodesign Fellowship in 2020, saw major growth last year, as well, and now supports more than 1 million patients nationwide through partnerships with Cigna Healthcare, Privia Health, Guidehealth, Sentara, UPMC and Memorial Hermann Health System.

The company integrated its end-of-life care planning platform with Dallas-based Guidehealth in April 2025 and with Epic Systems in July 2025. It also won the 2025 Houston Innovation Award in the Health Tech Business category. Read more here.

UH med school gets $2M gift and more top Houston innovation news

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Editor's note: The top Houston innovation news of the month is full of fresh funding, with two Texas medical schools receiving major gifts — one of historic proportions. Below are the five most-read InnovationMap headlines from April 16-30, 2026.

UH med school granted $2M gift to offer student scholarships

A new scholarship endowment aims to support students in the University of Houston’s recently established medical school. The University of Houston’s Tilman J. Fertitta Family College of Medicine received a planned estate gift commitment estimated at $2.1 million to establish the Bob Diehl and Teresa Evans Diehl Scholarship Endowment. The scholarship will assist full-time medical students who demonstrate financial need and meet academic standards. Continue reading.

How Houston innovators played a role in the historic Artemis II splashdown

Research from Rice University played a critical role in the safe return of U.S. astronauts aboard NASA’s Artemis II mission this month. Rice mechanical engineer Tayfun E. Tezduyar and longtime collaborator Kenji Takizawa developed a key computational parachute fluid-structure interaction (FSI) analysis system that proved vital in NASA’s Orion capsule’s descent into the Pacific Ocean. The FSI system, originally developed in 2013 alongside NASA Johnson Space Center, was critical in Orion’s three-parachute design, which slowed the capsule as it returned to Earth, according to Rice. Continue reading.

Baylor scientist lands $2M grant to explore links between viruses and Alzheimer’s

A Baylor College of Medicine scientist will begin exploring the possible link between Alzheimer’s disease and viral infections thanks to a $2 million grant awarded in March. Dr. Ryan S. Dhindsa hypothesizes that Alzheimer’s may have some link to previous viral infections contracted by the patient. To study this intriguing possibility, the American Brain Foundation has gifted him the Cure One, Cure Many award in neuroinflammation. Continue reading.

New UT Austin med center, anchored by MD Anderson, gets historic gift

A donation announced April 21 breaks a major record at the University of Texas at Austin. Michael and Susan Dell are now UT Austin's first supporters to give $1 billion. In response, the university will create the UT Dell Campus for Advanced Research and the UT Dell Medical Center to "advance human health," per a press release. Continue reading.

Houston VC funding surged nearly 50% in Q1 2026, report says

Houston saw a jump in VC funding in Q1 2026, fueled by several major investments in clean energy startups. Image via Getty Images

First-quarter venture capital funding for Houston-area startups climbed nearly 50 percent compared to the same time last year, according to the PitchBook-NVCA Venture Monitor. In Q1 2026, Houston-area startups raised $532.3 million, a 49 percent jump from $320.2 million in Q1 2025, according to the PitchBook-NVCA Venture Monitor. However, the Q1 total fell 23 percent from the $671.05 million raised in Q4 2025. Continue reading.

New 'living pharmacy' biotech company launches out of Rice venture studio

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Rice University’s biotech venture studio RBL LLC has launched a new “living pharmacy” company, Duracyte, designed to make cancer treatment easier on patients.

Backed by an up to $45 million Advanced Research Projects Agency for Health (ARPA-H) award, Duracyte aims to commercialize implantable biohybrid pharmacy devices that are designed to produce therapeutic proteins inside the human body around the clock, replacing the need for regular injections and infusions for some cancer patients.

The company’s main platform is its Hybrid Advanced Molecular Manufacturing Regulator (HAMMR), a rechargeable, implantable device that can sense biological signals, monitor tumor environments and adjust therapeutic output in real time. HAMMR has wireless communication capabilities, which allow patients and clinicians to remotely monitor results through an app every five minutes and make changes to treatment plans without a hosptial visit. Additionally, the device can generate its own oxygen supply, which is key for the therapeutic cells’ survival.

“Biologic medicines such as monoclonal antibodies, cytokines and metabolic regulators already account for a significant share of modern therapeutics, but the way we deliver them today often requires frequent injections or infusions that can be demanding for patients and lead to inconsistent drug levels,” Daniel Anderson, MIT professor and co-founder of Duracyte, said in a news release. “Our vision is to enable a continuous, stable therapy by producing these medicines directly inside the body, which could improve treatment consistency, reduce side effects and ultimately transform how biologic therapies are delivered across many diseases.”

Duracyte’s first clinical trial is slated to begin by the end of 2026 and will focus on recurrent ovarian cancer. The Phase I study will build upon existing work on encapsulated cytokine pharmacy technology, and the company hopes that within a few years this treatment can reach clinical application.

The development of Duracyte is supported by ARPA-H's Targeted Hybrid Oncotherapeutic Regulation (THOR) project, which supports a multidisciplinary research consortium co-led by Omid Veiseh, a professor of bioengineering at Rice. The consortium also includes others at Rice, The University of Texas MD Anderson Cancer Center, Stanford University, Carnegie Mellon University, Northwestern University and the University of Houston, plus industry collaborators like Chicago-based CellTrans.

“What we are building is the culmination of years of progress in cell engineering, biomaterials and implantable device technology,” Veiseh added in the release. “By combining these advances with real-time sensing and adaptive drug delivery, we are working with the support of RBL to create a true ‘living pharmacy’ that can deliver continuous, precisely controlled biologic therapies and fundamentally change how these treatments reach patients.”

RBL launched in 2024 and is based out of Houston’s Texas Medical Center Helix Park. Duracyte is the third company launched by RBL, including Sentinel BioTherapeutics, a clinical-stage immunotherapy company developing localized cytokine therapies for solid tumors, and SteerBio, a regenerative medicine company targeting lymphedema.

“Duracyte exemplifies the kind of breakthrough that Houston’s ecosystem is built to produce,” Paul Wotton, managing partner of RBL LLC and co-founder of Duracyte, added in the release. “With world-class clinical infrastructure, exceptional engineering talent and initiatives like the Texas Biotech Task Force driving alignment across industry, investment and talent, this region is uniquely positioned to move the most ambitious ideas in medicine from concept to patient, faster than anywhere else.”

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