In the age of artificial intelligence and automation, engineers must develop internal processes that free their people up to design and innovate while automating time-consuming, traditional tasks.

The world has been captivated recently by generative artificial intelligence technologies like ChatGPT and Google, and there have been many conversations within organizations and in the media about their capabilities and limitations.

While many AI technologies deliver crowd-sourced "answers," generative AI in construction is already delivering quality results.

ENR editors are known for their prolific and sometimes challenging overseas travel, especially in reporting on disasters of all kinds.

Any time ENR mobilizes for an important story, you know the subject touches our hearts.

Says Kit Miyamoto, founder of engineering firm Miyamoto International, after tour of hard-hit area: "The scene of devastation is unlike anything I have seen in my 20 years of working in disaster zones." 

Nearly 1,000 U.S. construction workers died of work-related injuries each year from 2011 to 2020, with the industry accounting for 20% of all workplace deaths, even though it made up just 7.3% of the national workforce.

Labor continues to be the most pressing issue facing our industry—and that’s saying something, given the roller coaster of the last several years.

A "smart infrastructure" approach demands that utility and IoT data inform major infrastructure programs from a database such as that in a geographical information system.

As someone who has never had much interest in education in the traditional sense —I lasted about five weeks before dropping out of college—most of my valued knowledge and experience has come from working with and around people.