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Grow the Human Skills: Critical Thinking, Creativity, Collaboration, and Communication

.orgSource

The 4Cs or critical thinking, creativity, collaboration, and communication complement technology and will serve any organization well in competitive markets. In this age of unprecedented processing power, why is critical thinking important? Set the example by modeling the behavior you would like to see.

Skills 221
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A New Era for Foundation Collaboration

sgEngage

In the past, many foundations viewed collaboration as a speed bump. Collaborations, after all, take time. When two or more organizations work together on any project, time must be spent up front setting ground rules, creating processes, and making compromises. Why Collaborate? Common Types of Foundation Collaboration.

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Build a Mission-Worthy Team

.orgSource

In our models, we assume that astronauts are intelligent, that they’re experts in their technical areas, and that they have at least some teamwork skills. Our interview process is rigorous. This process ensures that we hire the right people.” What’s tricky is how well individuals combine.” Trust me, it’s worth it.

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What strategies should nonprofits implement for high-performing cross-sector collaboration?

ASU Lodestar Center

Nonprofit interest in cross-sector collaboration is ramping up due to evaporating resources and increased demand for services. The Bridgespan Group reminds leaders that “cross-sector collaboration is a complicated and time-consuming process, given the complexity of the issues and range of stakeholders involved.”

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Lead From the Human Side of Technology

.orgSource

Digital platforms and processes infuse every business activity. As a result, IT leaders are called on to share their wisdom with the rest of us, and they are challenged to help us collaborate in ways that are unfamiliar and sometimes uncomfortable. Social skills— along with empathy help teams successfully collaborate to get work done.

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Collaborative Grantmaking: Rethinking How to Assess Impact

sgEngage

While these statements provide an organized promise of future success, each element is rife with uncertainty and assumptions while the whole process is embedded in complex systems, dynamics, and interactions. Move Past Promises to Deliver Collaborative Impact. All of which combine to make impact difficult to measure and explain.

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Study the Data, But Eat the Cake—Put the Human Factor Forward

.orgSource

Machine Learning, predictive modeling, and natural language processing are a few of the ways AI makes data more meaningful. Predictive modeling reveals future outcomes and trends with greater accuracy than traditional methods, enabling proactive decision-making and change management. It’s free with limited usage.

Data 221