Wikipedia:Wikimedia Strategy 2017/Cycle 2/The Augmented Age

 Theme: The augmented age (Advancing with technology) By 2030, the Wikimedia movement will actively use technological innovations to help volunteers be much more creative and productive. We will use machine learning and design to make knowledge easy to access and easy to use. To greatly increase the quality and quantity of content in more languages, volunteers will, for example, have access to better machine translations. We will present and organize knowledge in ways that improve the way people learn and contribute — beyond the browser, the app, and the encyclopedia.

Insights from the Wikimedia community (from first discussion)

 * Week 1 summary
 * Week 2 summary
 * Week 3 summary
 * Week 4 summary

Insights from partners and experts

 * Summary of 20 expert interviews from India, Indonesia, Nigeria, Egypt, Brazil and Mexico (2017)
 * Summaries of salons, meetings, and interviews with experts and partners

Insights from user (readers and contributors) research

 * Generative research in Mexico, Nigeria, and India (2016)

Digital age / trends

 * 1) "The Digital Industrial Revolution," NPR / TED: http://www.npr.org/programs/ted-radio-hour/522858434/the-digital-industrial-revolution?showDate=2017-04-21
 * 2) Vanity Fair: Elon Musk predicts it will take 4-5 years to develop “a meaningful partial-brain interface” that allows the brain to communicate directly with computers: http://www.vanityfair.com/news/2017/03/elon-musk-billion-dollar-crusade-to-stop-ai-space-x

Machine learning

 * 1) "How Machine Learning Works", The Economist (they learn from experience!): http://www.economist.com/blogs/economist-explains/2015/05/economist-explains-14
 * 2) "The Simple Economics of Machine Intelligence," Harvard Business Review: https://hbr.org/2016/11/the-simple-economics-of-machine-intelligence

Wikimedia and machine learning

 * 1) ORES and recommendation systems, open, ethical, learning machines helping to fight vandals with 18,000K manually enabled users today: Objective Revision Evaluation Service
 * 2) Wikimedia: 90% reduction in hours spent reviewing RecentChanges for vandalism after ORES was enabled: https://docs.google.com/presentation/d/1-rmxp3GNrSmqfjLoMZYlnR55S8DKoSfG-PCHObjTNAg/edit#slide=id.g1c9c9bd2c0_1_8

Questions
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