Research:Skills matrix

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The goal of this page is to create and maintain a skills matrix for people doing research-related work at (or with) the Wikimedia Foundation. It was inspired by the skills matrix of the Release Engineering team.

The goal of a skills matrix is to identify areas of strength and weakness in a team, so as to mitigate single points of failure, surface learning opportunities, and make it easier for team members (as well as third parties) to identify experts who might be able to help with a particular topic.

A skills matrix is different from (but complementary to) a responsibility matrix, which identifies who is in charge of doing what in a group.

How to go about doing this[edit]

  1. Step 1: Identify and agree on what we want to list as skills. ← We are here.
  2. Step 2: Make a table
  3. Step 3: Let people add their assessments of their skills to the table

Skills[edit]

This is a preliminary, messy, biased and incomplete list of skills to be matched to the people listed above. Edit, merge, reorganize and expand freely. This list may be too granular; we can decide later what to include, what to leave out, or what to spit out to another table.

General disciplines

  • Computer science
  • Sociology
  • Social Psychology
  • Evaluation
  • Statistics and data science
  • Online communities

Sub-fields

  • Mathematical optimization
  • Game theory
  • Cross-Cultural
  • Group Dynamics
  • Applied Research

Data analysis

  • Qualitative Data Analysis
  • Social Network Analysis
  • Analysis of A/B tests
  • Time series analysis / forecasting
  • Bayesian statistics
  • Data mining (machine learning)

Wikimedia-specific topics

  • Institutional knowledge of the WMF
  • Institutional knowledge of the Wikimedia movement
  • CentralNotice
  • Translate extension
  • Labs and Tool Labs
  • Stats machines
  • System administration
  • Wikimedia Programs
  • Wikimedia Affiliates

Data extraction

  • SQL
  • XML dumps
  • MediaWiki API
  • HiveQL/UDFs
  • Wikimetrics

Data manipulation

Tools and languages

  • R
  • Python
  • Python data analysis tools (IPython, Pandas, Jupyter)
  • JavaScript
  • Qualtrics
  • SPSS
  • Nvivo

Data visualization

  • D3
  • R (ggplot2)
  • Vega
  • Graph extension
  • WebGL
  • Kumu
  • Adobe

Surveys

  • Survey design
  • Survey implementation

User research

  • Usability testing

People[edit]

This is a preliminary list of WMF employees, contractors and fellows based on the Staff and contractors page and attendees of the weekly "Research group meeting". Feel free to remove yourself from this list if you'd rather not be listed. If you're not listed but feel you should, please do add yourself. For example, it might make sense for Product managers, or relevant Ops/Analytics staff, to be on this list as well.

See also[edit]