Terri Willey, left, receives the Phoenix Award from Superior Court 2 Judge Peter Nugent during the Johnson County Problem-Solving Courts graduation ceremony Monday at Emmanuel Church in Franklin.

Problem-solving therapy (PST) helps individuals manage stress by breaking down challenges into practical, manageable steps. The aim of the therapy is to help people cope more confidently with ...

The password problem — weak, reused credentials that are easy to compromise yet hard to remember and manage — plagues users and organizations. But despite technological advances, passwords ...

More than ever, supply chain professionals need creative thinking and problem-solving to withstand these challenges and flourish in the face of future disruptions. Creative thinking and ...

Mathematical models help find real solutions After writing a mathematical problem to represent a situation, the second step in the modeling process is to solve the problem. For Sudoku, we need to ...

Many school districts and policymakers are stepping up efforts to teach students the skills they need to be prepared for the jobs of the future. One big area of focus is STEM. Jobs in science ...

In coaching others, I often discuss problem-solving strategies to help individuals think creatively and consider many options when they are faced with challenging situations. Problem solving 1-2 ...

Gridlock is a special kind of grief, with its own unique stages: inventing expletives, using the horn as an expression of your internal wail and, eventually, begrudging acceptance. (You’ll know ...

To solve tough problems at work, first ask these questions. Problem solving skills are invaluable in any job. But all too often, we jump to find solutions to a problem without taking time to ...

Like most engineers, I find myself drawn to complex puzzles. And the more complicated the problem, the more intrigued I am to solve it. This love for problem-solving was nurtured at a very young age.

"These problems are called NP-hard, which means it is very unlikely there is an efficient algorithm to solve them. When the problem is big enough, we can only hope to achieve some suboptimal ...