Why you should consider using construction digital twin tech, according to this Houston expert

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The construction industry is no stranger to embracing technological advancements, and one of the latest breakthroughs is the advent of construction digital twin technology.

Blending the virtual and physical worlds, construction digital twins offer immense potential for enhancing efficiency, reducing costs, and improving decision-making in construction projects.

It is a fascinating and ever-changing world of technology in construction digital twin technology and the following information explores its key components, benefits, and real-world applications in the construction sector.

What is a construction digital twin?

A construction digital twin is a virtual replica of a physical asset, process, or system that integrates real-time data from various sources to provide a holistic and dynamic representation. It encompasses a portion of the entire lifecycle of the project, potentially starting from planning and design into construction, commissioning, and data collection for ongoing maintenance.

The key components of a construction digital twin include the physical asset, sensors, data acquisition systems, connectivity infrastructure, cloud platforms, and advanced analytics. Various tools or platforms can be used at different stages of a project.

Skanska, a construction and development company, has created an internal hybrid approach combining a digital twin model with a custom analytics dashboard. The process allows for tracking production control during construction. What is used is a less-is-more approach to manual data entry into models and link to automated external data sources, which are combined and analyzed together in a separate dashboard. These color-coded models are combined with external data for schedule, cost, and man hour data for predictive analysis and production rates.

Improved planning and design

Digital twins allow design and construction professionals to simulate and optimize designs with a virtual model of the building before physically implementing them. This capability enables early detection and resolution of design flaws, reducing rework and costly delays. Adjacent building and city data can inform early design decisions. By leveraging the existing data from a digital twin, renovation projects can streamline processes, reduce risks, improve efficiency, and make informed design decisions, ultimately resulting in more successful and cost-effective renovations.

Enhanced construction processes

A construction digital twin allows stakeholders to visualize and simulate the project, analyze potential issues, optimize workflows, and make informed decisions. Key data sources include: installation, schedule, man hours, and cost. Additional real-time data from sensors embedded in physical assets can be fed into construction digital twins, enabling real-time monitoring and analysis. Project teams can enhance collaboration, improve efficiency, maintain schedule, reduce costs, and minimize risks throughout the construction process.

Effective risk management

Digital twins enable construction companies to simulate and analyze potential risks, such as structural weaknesses and environmental or safety hazards. Builders and their clients are at an advantage since they can address these risks in the virtual environment and significantly reduce the occurrence of accidents and associated liabilities.

Streamlined collaboration

Construction digital twins act as a shared platform for all stakeholders involved in a construction project, including architects, engineers, contractors, and facility managers. This flow of information fosters seamless collaboration, improves communication, and results in better decision-making through a data-driven environment. Solutions vary per stage and parties involved.

Real-world applications

Construction digital twin technology is already finding practical application in the construction industry, including locally at 1550 on The Green, Skanska’s state-of-the art, sustainable office building bringing the outdoors in.

Smart building construction

By creating a digital twin of a smart building, companies can optimize energy efficiency, HVAC systems, and space. The real-time monitoring of energy consumption and occupancy patterns combined with as-built BIM and systems data allows for predictive maintenance. Automations and AI assisted controls are also on the horizon.

Bringing it all together

Construction digital twin technology is poised to revolutionize the construction industry. By merging the virtual and physical realms, it enables construction professionals to make more informed decisions, enhance efficiency, and minimize risks.

The benefits of construction digital twins, such as improved planning and design, streamlined collaboration, and effective risk management, are transforming how projects are executed. As this technology continues to evolve, there are bound to be greater advancements in construction practices, ultimately leading to safer, smarter, and more sustainable built environments. Key data points and use cases vary per phase and stakeholder, and digital twins are a great asset throughout the project lifecycle.

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Edwin Bailey is senior preconstruction technologist at Skanska, a leading multi-national project development and construction group, in Houston.

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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.

Innovation Labs @ TMC set to launch for early-stage life science startups

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The Texas Medical Center will launch its new Innovation Labs @ TMC in January 2026 to better support life science startups working within the innovation hub.

The 34,000-square-foot space, located in the TMC Innovation Factory at 2450 Holcombe Blvd., will feature labs and life science offices and will be managed by TMC. The space was previously occupied by Johnson & Johnson's JLABS @TMC, a representative from TMC tells InnovationMap. JLABS will officially vacate the space in January.

TMC shares that the expansion will allow it to "open its doors to a wider range of life science visionaries," including those in the TMC BioBridge program and Innovation Factory residents. It will also allow TMC to better integrate with the Innovation Factory's offerings, such as the TMC Health Tech accelerator, TMC Center for Device Innovation and TMC Venture Fund.

“We have witnessed an incredible demand for life science space, not only at the TMC Innovation Factory, but also on the TMC Helix Park research campus,” William McKeon, president and CEO of the TMC, said in a news release. “Innovation Labs @ TMC enables us to meet this rising demand and continue reshaping how early-stage life science companies grow, connect, and thrive.”

“By bringing together top talent, cutting-edge research, and industry access in one central hub, we can continue to advance Houston’s life science ecosystem," he continued.

The TMC Innovation Factory has hosted 450 early-stage ventures since it launched in 2015. JLABS first opened in the space in 2016 with the goal of helping health care startups commercialize.

13 Houston businesses appear on Time's best midsize companies of 2025

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A Houston-based engineering firm KBR tops the list of Texas businesses that appear on Time magazine and Statista’s new ranking of the country’s best midsize companies.

KBR holds down the No. 30 spot, earning a score of 91.53 out of 100. Time and Statista ranked companies based on employee satisfaction, revenue growth, and transparency about sustainability. All 500 companies on the list have annual revenue from $100 million to $10 billion.

According to the Great Place to Work organization, 87 percent of KBR employees rate the company as a great employer.

“At KBR, we do work that matters,” the company says on the Great Place to Work website. “From climate change to space exploration, from energy transition to national security, we are helping solve the great challenges of our time through the high-end, differentiated solutions we provide. In doing so, we’re striving to create a better, safer, more sustainable world.”

KBR recorded revenue of $7.7 billion in 2024, up 11 percent from the previous year.

The other 12 Houston-based companies that landed on the Time/Statista list are:

No. 141 Houston-based MRC Global. Score: 85.84
No. 168 Houston-based Comfort Systems USA. Score: 84.72
No. 175 Houston-based Crown Castle. Score: 84.51
No. 176 Houston-based National Oilwell Varco. Score: 84.50
No. 234 Houston-based Kirby. Score: 82.48
No. 266 Houston-based Nabor Industries. Score: 81.59
No. 296 Houston-based Archrock. Score: 80.17
No. 327 Houston-based Superior Energy Services. Score: 79.38
No. 332 Kingwood-based Insperity. Score: 79.15
No. 359 Houston-based CenterPoint Energy. Score: 78.02
No. 461 Houston-based Oceaneering. Score: 73.87
No. 485 Houston-based Skyward Specialty Insurance. Score: 73.15

Additional Texas companies on the list include:

No. 95 Austin-based Natera. Score: 87.26
No. 199 Plano-based Tyler Technologies. Score: 86.49
No. 139 McKinney-based Globe Life. Score: 85.88
No. 140 Dallas-based Trinity Industries. Score: 85.87
No. 149 Southlake-based Sabre. Score: 85.58
No. 223 Dallas-based Brinker International. Score: 82.87
No. 226 Irving-based Darling Ingredients. Score: 82.86
No. 256 Dallas-based Copart. Score: 81.78
No. 276 Coppell-based Brink’s. Score: 80.90
No. 279 Dallas-based Topgolf. Score: 80.79
No. 294 Richardson-based Lennox. Score: 80.22
No. 308 Dallas-based Primoris Services. Score: 79.96
No. 322 Dallas-based Wingstop Restaurants. Score: 79.49
No. 335 Fort Worth-based Omnicell. Score: 78.95
No. 337 Plano-based Cinemark. Score: 78.91
No. 345 Dallas-based Dave & Buster’s. Score: 78.64
No. 349 Dallas-based ATI. Score: 78.44
No. 385 Frisco-based Addus HomeCare. Score: 76.86
No. 414 New Braunfels-based Rush Enterprises. Score: 75.75
No. 431 Dallas-based Comerica Bank. Score: 75.20
No. 439 Austin-based Q2 Software. Score: 74.85
No. 458 San Antonio-based Frost Bank. Score: 73.94
No. 475 Fort Worth-based FirstCash. Score: 73.39
No. 498 Irving-based Nexstar Broadcasting Group. Score: 72.71

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