Positive Platforms: Difference between revisions

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'''= "Marina Gorbis and Devin Fidler from Silicon Valley based Institute For The Future, identified eight principles of Positive Platforms design".''' [https://stories.platformdesigntoolkit.com/platforms-are-engines-of-learning-4f7b70249177]


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Revision as of 00:35, 17 October 2016

= "Marina Gorbis and Devin Fidler from Silicon Valley based Institute For The Future, identified eight principles of Positive Platforms design". [1]


Discussion

Devin Fidler:

"We cannot be passive bystanders to the future of work, hoping that current work platforms, as admirable as many of them are, can evolve into what we need as a country: positive platforms, which we define as on-demand work systems that are intentionally designed to maximize the benefits for everyone connected to them — including, and especially, their workers.

Our simple rule of thumb is that the positive externalities of these platforms can be designed to outweigh their negative externalities.

Collaborating with industry and policy leaders, we are now striving to ask the right questions about this technology — and develop the answers most likely to promote positive platforms.

Are There Standards That Promote Balanced Economic Development That Can Be Feasibly Adopted By Emerging Platforms?

We see great promise in pricing models that don’t commoditize individual tasks, but instead align the interests of the platform with its workers. For instance, a commissions-based model similar to how entertainment agencies operate, where an agency’s revenue is a flat percentage of their client’s earnings. Operating in this way, platform owners would be directly incentivized to maximize their platform workers’ revenue.

How Can New Work Platform Technologies Be Applied To Achieve Socially Positive Outcomes?

We are already seeing platforms that strongly suggest the answer to this is Yes. For instance, as much of the U.S. education system remains in financial distress (both for students and colleges), the crowdsourced platform Duolingo applies a Mechanical Turk-type translation work model that enables teaching languages to its users for free, with incredibly impressive results. (According to the company, there are more people learning language on Duolingo’s platform than in the entire U.S. public school system.)

Similarly, it is not difficult to imagine the immense matchmaking power of on-demand platforms being used to address issues like underemployment and even overall GDP growth, by more dynamically matching people to work and training opportunities.

These are very tentative answers, and much more research is needed. It’s our hope that industry and policy captains continue coming forward to work with us, sharing their data, wisdom and statecraft, so we can better cultivate this technology in a direction we all support.

Ultimately, our traditional corporate/organizational structures are themselves a technology — one that was mostly designed to coordinate mass industrial production. As digital platforms provide new ways of coordinating economic activity, they will upset many of our assumptions about how work and organizations “should” behave.

Our task over the coming decades is to amplify their opportunities while mitigating their challenges. Only together can we design new structures all of us can live with — and work in." (http://techcrunch.com/2015/08/20/what-we-need-to-know-about-on-demand-work-platforms-before-regulating-them/)


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