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Human computation integrates human intelligence into computational workflows. Fundamentally, it examines structured human activities. Although workflow design, process optimization, and organizational frameworks have been extensively researched, computer science and computational principles now provide fresh perspectives for analyzing coordinated human work and merging it with automated processes. Crowdsourcing - the method of publicly recruiting workers to accomplish tasks, frequently via social computing platforms - enables the development of powerful human computation networks that surpass existing automated solutions while remaining instantly accessible. At Michigan, we're pushing the boundaries of human computation and crowdsourcing: investigating how to build responsive systems that operate in real-time while maintaining reliability.