User:DTankersley (WMF)/test



Goal Owner: Aaron Halfaker

Q1 Goals are In progress In progress with one goal stalled

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Detailed status here.



Goal Owner: Aaron Halfaker

Q1 Goals are In progress In progress with one goal stalled

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Detailed status here.


Goal Owner: Corey Floyd

Q1 Goals are In progress In progress

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Detailed status here.


Goal Owner: Corey Floyd (WMF)

Q1 Goals are In progress In progress

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Detailed status here.



Commons:Structured_data/Annual_Plan_2018-19/CDP_Budget_Segment_0/Goals



idea from: https://www.mediawiki.org/wiki/New_Developers

Program Goals and Status for FY18/19

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  • Goal Owner: Aaron Halfaker
  • Program Goals for FY18/19: Improve the efficiency of wiki processes and mitigate the effects of algorithmic biases that are introduced.
  • Annual Plan: TEC5 Scoring Platform
    • Primary Goal is Knowledge Equity: Grow new contributors and content
    • Tech Goal: Supporting our Community of contributors


Outcome 1 / Output 1

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More wiki communities benefit from semi-automated curation support

ORES supports the edit quality prediction models for more wikis/languages

Dependancies on: SRE team

Goal(s)

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  • Keep ORES online and improve robustness

Status

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  Note: July 30, 2018

 N Not done currently stalled

  To do August 2018

Discussed...

  To do September 2018

Discussed...


Outcome 2 / Output 3

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Grow the community of wiki decision process modelers and tool builders (staff, volunteers, academics)

Published posts about ORES, AI, wiki processes, etc. on the Wikimedia blog

Dependancies on: Cloud Services team

Goal(s)

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  • Documentation -- Threshold optimizations in The ORES Manual

Status

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  Note: July 30, 2018

  In progress

  To do August 2018

Discussed...

  To do September 2018

Discussed...


Outcome 2 / Output 4

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Grow the community of wiki decision process modelers and tool builders (staff, volunteers, academics)

Workshops run, papers published, datasets published, tutorials published, hackathons co-organized

Dependancies on: n/a

Goal(s)

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  • Developing a focus group for JADE

Status

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  Note: July 30, 2018

  In progress

  To do August 2018

Discussed...

  To do September 2018

Discussed...


Outcome 3 / Output 5

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Users of ORES-based-tools can build a repository of human judgement to contrast with model-predictions

JADE (our auditing system) accepts and stores human judgements

Dependancies on: n/a

Goal(s)

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  • JADE --> Production

Status

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  Note: July 30, 2018

  In progress The block on our JADE --> Production goal is a serious threat at this point, but there's nothing to do except to follow an RFC in the short term.

  To do August 2018

Discussed...

  To do September 2018

Discussed...

Outcome X / Output X

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Nullam interdum, elit in malesuada aliquam, libero lorem auctor lacus, eu mattis lacus velit vitae mauris.

Dependancies on: ___________

Goal(s)

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Status

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  To do October 2018

Discussed...

  To do November 2018

Discussed...

  To do December 2018

Discussed...

Outcome X / Output X

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Lorem ipsum dolor sit amet, consectetur adipiscing elit.

Nullam interdum, elit in malesuada aliquam, libero lorem auctor lacus, eu mattis lacus velit vitae mauris.

Dependancies on: ___________

Goal(s)

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  • Ut eget sodales odio. Maecenas a varius leo.

Status

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  To do January 2019

Discussed...

  To do February 2019

Discussed...

  To do March 2019

Discussed...

Outcome X / Output X

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Lorem ipsum dolor sit amet, consectetur adipiscing elit.

Nullam interdum, elit in malesuada aliquam, libero lorem auctor lacus, eu mattis lacus velit vitae mauris.

Dependancies on: ___________

Goal(s)

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  • Ut eget sodales odio. Maecenas a varius leo.

Status

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  To do April 2019

Discussed...

  To do May 2019

Discussed...

  To do June 2019

Discussed...






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COLUMN1 COLUMN2
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Lists in multi-column tables

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For long lists of data, the quick way is to use asterisk-bullets "*" on separate lines, with a vertical-bar "|" between groups, and then separate the data-columns with spacer-columns, such as for width="30px":
  • Aardvark
  • Badger
  • Coyote
 
  • Dingo
  • Emu
  • Flounder


Goal owner: Erika Bjune Tech Goal: C. Improve our own feature set

Objective Quarterly Work / Goal Dependencies ETA Status
AG1:Through incremental Discovery improvements, readers are better able to discover and search for content.

OBJ1: Implement advanced methodologies such as “learning to rank” machine learning techniques and signals to improve search result relevance across language Wikipedias.

Create and test advanced parser features
  • Evaluate and build new features for machine learning pipeline (T162279)
  • Begin to build relationships with external information retrieval researchers
  • Category search (keywords for sub-category searching)
Analytics, Operations, Community Engagement EOQ   In progress


Header text Header text Header text
Example Example Example
Example Example Example
Example Example Example
A D
H
L
M N O P


Goal owner: Erika Bjune

Annual plan outcome Annual plan objective(s) Tech Goal Quarterly Work (or Goal) Primary Team(s) Dependencies ETA Status
Goal 1, Outcome 1: Through incremental Discovery improvements, readers are better able to discover and search for content. Objective 1: Implement advanced methodologies such as “learning to rank” machine learning techniques and signals to improve search result relevance across language Wikipedias. C. Improve our own feature set
  • Create and test advanced parser features
  • Evaluate and build new features for machine learning pipeline (T162279)
  • Begin to build relationships with external information retrieval researchers
  • Category search (keywords for sub-category searching)
Search Platform Analytics, Operations, Community Engagement EOQ

Corresponding to each bullet point under goals:

  •   To do
  •   In progress
  •   In progress
  •   To do
Goal 1, Outcome 1: Through incremental Discovery improvements, readers are better able to discover and search for content. Objective 2: Improve support for multiple languages by researching and deploying new language analyzers as they make sense to individual language wikis. A. Foundation Goal: Reach,

C. Improve our own feature set

  • Continue to investigate morphological libraries for ElasticSearch plugins.
    • Implement Serbian, investigate Slovak
  • Improve search by using fuzzy (phonetic) language matching.
  • Continue general language support.
    • Investigate language analyzer config options
Search Platform Analytics, Operations, Community Engagement EOQ

Corresponding to each bullet point under goals:

  •   In progress
  •   To do
  •   In progress
Goal 1, Outcome 1: Through incremental Discovery improvements, readers are better able to discover and search for content. D. Technical Debt Address technical debt:
  • Elasticsearch 5.6/Logstash 5.6/Kibana 5.6 (ELK stack)
  • Maintain APIs
  • Translation extension
Search Platform Operations, Search Front-end EOQ

Corresponding to each bullet point under goals:

  •   To do
  •   To do
  •   To do
Goal 2, Outcome 1: Through improvements to the user experience of search interfaces, users are better able to find content in an intuitive and easy way. Objective 4: Investigate how to expand and scale Wikidata Query Service to improve its ability to power features on-wiki for readers C. Improve our own feature set
  • Acquire and productionize six new servers for WDQS, (see T178548)
  • Set up individual internal and external service endpoints with enhanced features for expert users
Search Platform Analytics, Operations, WMDE EOQ

Corresponding to each bullet point under goals:

  •   To do
  •   To do


Goal owner:

Annual plan outcome Annual plan objective(s) Tech Goal Quarterly Work (or Goal) Primary Team(s) Dependencies ETA Status
Goal #, Outcome #: Objective #: Corresponding to each bullet point under goals:

== Browse patterns ==

    Education  

Patterns about how to plan, run, grow and scale education programs. No pages meet these criteria.