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China's Labor Force Is Feeling the Strain
From ACM Careers

China's Labor Force Is Feeling the Strain

"Involution," which refers to China's hyper-competitive work culture and crushing labor expectations, has gained traction with elite students and younger white-collar...

Show, Don't Tell: Attracting A Diverse Workforce
From ACM Careers

Show, Don't Tell: Attracting A Diverse Workforce

A published study of messaging by companies and organizations about diversity and inclusion as part of employee recruitment efforts found that activating signals...

World University Rankings 2023: Computer Science
From ACM Careers

World University Rankings 2023: Computer Science

The Times Higher Education World University Rankings 2024 ranks computer science programs at 974 universities in 76 countries. Five schools in the top 10 are in...

Tech Layoffs Are All But A Thing of the Past
From ACM Careers

Tech Layoffs Are All But A Thing of the Past

Layoffs in the technology industry have slowed sharply in recent months, bringing the number of jobs lost to tech's efficiency push to a near stop.

Inflation Bites U.S. Engineering Salaries
From ACM TechNews

Inflation Bites U.S. Engineering Salaries

The IEEE-USA 2023 Salary and Benefits Survey indicates U.S. engineering salary growth lagged inflation for the second consecutive year, marking the first multiyear...

Diverse Leadership: Whose Responsibility Is It?
From ACM Careers

Diverse Leadership: Whose Responsibility Is It?

Both individuals and organizations must challenge the patriarchal belief systems that perpetuate homogeneity in the tech sector, pipeline, and leadership, says...

Computer Science Is No Longer the Safe Major
From ACM Careers

Computer Science Is No Longer the Safe Major

Software engineers, more than any other American workers, believe that generative AI will have a major impact on their jobs over the next 20 years.

Towards Affective Computing That Works for Everyone
From ACM Careers

Towards Affective Computing That Works for Everyone

Affective computing systems trained on currently available datasets will likely have biases because they derive from limited samples that do not fully represent...
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