Strategy/Wikimedia movement/2017/Cycle 2/The Augmented Age - Meta-Wiki

Strategy/Wikimedia movement/2017/Cycle 2/The Augmented Age - Meta-Wiki
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Strategy
Wikimedia movement
2017
Cycle 2
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2017 Movement strategy
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Theme: The augmented age (Advancing with technology)
The following discussion is closed.
Cycle 2 of the discussion is now closed. Please discuss the draft strategic direction (link coming soon).
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.
Sub-themes
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This theme was formed from the content generated by individual contributors and organized groups during cycle 1 discussions. Here are the sub-themes that support this theme. See the
Cycle 1 Report
, plus the supplementary
spreadsheet
and
synthesis methodology
of the 1800+ thematic statements.
Innovation
Automation
Adapting to technological context
Expanding to other medias
Quality content
Accessibility of content
Insights from movement strategy conversations and research
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Insights from the Wikimedia community (from this discussion)
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Week 1 summary
Week 2 summary
Week 3 summary
Week 4 summary
Insights from partners and experts
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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
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Generative research in Mexico, Nigeria, and India (2016)
Summary of Indonesia research - Initial findings
Indonesia research findings draft May 2017
Other Research
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Digital age / trends
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"The Digital Industrial Revolution," NPR / TED:
"Introduction to Machine Learning," Introduction and Resources :
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:
Machine learning
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"How Machine Learning Works", The Economist (they learn from experience!):
"The Simple Economics of Machine Intelligence," Harvard Business Review:
Wikimedia and machine learning
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ORES and recommendation systems, open, ethical, learning machines helping to fight vandals with 18,000 manually enabled users today:
Objective Revision Evaluation Service
Wikimedia: 90% reduction in hours spent reviewing RecentChanges for vandalism after ORES was enabled:
Questions
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View discussion of these questions on the talk page
These are the main questions we want you to consider and debate during this discussion. Please support your arguments with research when possible. We recognize you may not have time to answer all the questions; to help you choose where to focus, we have listed three types of questions below. The primary questions are the ones most important to answer during this discussion cycle.
Primary questions
What impact would we have on the world if we follow this theme?
Note that if you already submitted key ideas that answer this question for this theme in the previous discussion, consider just adding a link to that source page versus rewriting the whole statement. (see
spreadsheet
). If you have something new to add to a comment you made previously, however, please do.
How important is this theme relative to the other 4 themes? Why?
Secondary question
Focus requires tradeoffs. If we increase our effort in this area in the next 15 years, is there anything we’re doing today that we would need to stop doing?
Expansion questions
What else is important to add to this theme to make it stronger?
Who else will be working in this area and how might we partner with them?
Other comments:
Remember, if you have thoughts about the strategy process or larger issues, please share those
here
, where they are being monitored daily!
If you have specific ideas for improving the software, please consider submitting them in
Phabricator
or the product's specific talkpage.
2017 Wikimedia Movement Strategy
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