Made Of People 1194362046233879 1

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Social software adapts to its environment rather than requiring the environment to adapt to it. Complexity arises from social networks, not software. Only simple rules are needed to yield emergence. Sharing control over information and decisions can lead to more productive processes and better outcomes, especially for social goods. For business processes, considering making them more transparent and participatory, including those outside the company. The best experts on products may not be employees. Social participation can include hidden experts volunteering outside their job descriptions. To benefit from openness and sharing control, transparency is needed.

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Presentation from O'Reilly Strata 2012 on Big Data Humans, Machines, and the Dimensions of Microwork Daniel Tunkelang (LinkedIn) Claire Hunsaker (Samasource) The advent of crowdsourcing has wildly expanded the ways we think of incorporating human judgments into computational workflows. Computer scientists, economists, and sociologists have explored how to effectively and efficiently distribute microwork tasks to crowds and use their work as inputs to create or improve data products. Simultaneously, crowdsourcing providers are exploring the bounds of mechanical QA flows, worker interfaces, and workforce management systems. But what tasks should be performed by humans rather than algorithms? And what makes a set of human judgments robust? Quantity? Consensus? Quality or trustworthiness of the workers? Moreover, the robustness of judgments depends not only on the workers, but on the task design. Effective crowdsourcing is a cooperative endeavor. In this talk, we will analyze various dimensions of microwork that characterize applications, tasks, and crowds. Drawing on our experience at companies that have pioneered the use of microwork (Samasource) and data science (LinkedIn), we will offer practical advice to help you design crowdsourcing workflows to meet your data product needs.

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