The benefits of construction digital twins, such as improved planning and design, streamlined collaboration, and effective risk management, are transforming how projects are executed. Photo via Getty Images

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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Austin company to bring AI-powered school to The Woodlands

AI education

Austin-based Alpha School, which operates AI-powered private schools, is opening its first Houston-area location in The Woodlands.

The 8,000-square-foot school, scheduled to be ready for the 2026-27 academic year, initially will serve students in kindergarten through eighth grade. Alpha says the school will offer “open workshop spaces and innovative classrooms that support personalized instruction, core academics, leadership development, and real-world life skills.”

Alpha sets aside two hours each school day for the AI-driven, self-paced study of core subjects like math, reading and science. The rest of each school day consists of life-skills workshops focusing on topics such as leadership and financial literacy.

Alpha’s school in The Woodlands has begun accepting applications for the 2026-27 school year. Annual tuition costs $40,000.

“The Woodlands is one of the most dynamic, forward-thinking communities in Texas, and Alpha is proud to bring

an innovative educational model that complements its strong academic foundation,” says Rachel Goodlad, head

of expansion for Alpha.

Founded in 2014, Alpha School combines adaptive technology-driven instruction with immersive life-skills workshops. Its model emphasizes mastery-based learning in core subjects alongside development of communication, critical thinking, financial literacy and leadership skills. It operates more than 15 schools across the country.

Elsewhere in Texas, Alpha operates schools in Austin, Brownsville, Fort Worth and Plano. Alpha also operates 12 Texas Sports Academy campuses in Texas, including locations in Houston, Pearland and Richmond, along with a NextGen Academy esports school in Austin, a school for gifted students in Georgetown, and lower-cost Nova Academy campuses in Austin and Bastrop.

Alpha has fans and critics. While supporters tout students’ high achievement rates, detractors complain about the high tuition and the AI-influenced depersonalization of education.

“Students and our country need to be in relationship with other human beings,” Randi Weingarten, president of the American Federation of Teachers, a teachers union, tells The New York Times. “When you have a school that is strictly AI, it is violating that core precept of the human endeavor and of education.”

Alpha co-founder MacKenzie Price, a podcaster and social media influencer, doesn’t share Weingarten’s views.

“Parents and teachers: We need to embrace this change,” Price wrote after President Trump signed an executive order promoting AI in schools.

The Times notes that Alpha doesn’t employ AI as a tutor or a supplement. Rather, the newspaper says, AI is “the school’s primary educational driver to move students through academic content.”

Houston researcher secures $1.7M to develop drug for aggressive form of breast cancer

cancer research

A University of Houston researcher has joined a $3.2 million effort to develop a new drug designed to attack a cancer-driving protein commonly found in triple-negative breast cancer.

Triple-negative breast cancer (TNBC) is one of the most difficult-to-treat forms of cancer and accounts for 10 percent to 15 percent of all breast cancer cases. The disease gets its name because tumors associated with it test negative for estrogen receptors, progesterone receptors and excess HER2 protein, making it difficult to target. Due to this, TNBC is often treated with general chemotherapy, which can come with negative side effects and drug resistance, according to UH.

UH College of Pharmacy research associate professor Wei Wang is developing a drug that can target the disease more specifically. The drug will target MDM2, a protein often overproduced in TNBC that also contributes to faster tumor growth.

Wang is working on a team led by Wei Li, director of the University of Tennessee Health Science Center College of Pharmacy’s Drug Discovery Center. She has received $1.7 million to support the research.

Wang and UH professor of pharmacology and toxicology Ruiwen Zhang have discovered a compound that can break down MDM2. In early laboratory models, the compound has shown the ability to shrink tumors.

Wang and Zhang will focus on understanding how the treatment works and monitoring its effectiveness in models that closely mirror human disease.

“We will study how the drug targets MDM2 and evaluate the most promising drug candidates to determine effective dosing, understand how the drug behaves in the body, compare it with existing treatments and assess early safety,” Wang said in a news release.

Li’s team at the University of Tennessee will be working on the chemistry and drug design end of the project.

“This work could lead to an entirely new class of therapies for triple-negative breast cancer,” Li added in the release. “We’re hopeful that by directly removing the MDM2 protein from cancer cells, we can help more patients respond to treatment regardless of their tumor type.”