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This page is a translated version of the page Global Data and Insights Team and the translation is 72% complete.
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Global Data & Insights Team
Operations Department
Share icon WHITE-01.svgLearning and Evaluation Hub

グローバルデータと洞察チーム (GD&I) はウィキメディア運動全体の活動の影響を監視し、実施中の分析、学習と評価の支援により効果的な事業が実施できるよう、コミュニティ関与部門の他のチームを導きます。

Who we are

The Global Data & Insights team promotes the use of evaluation for learning and improving decision making that will better Wikimedia projects and communities. This includes:

  • developing the capacity of Foundation and movement leaders in program evaluation, design, and data use in decision-making;
  • facilitating the use and development of evaluation for creating shared frameworks, tools, and research;
  • providing a hub of learning and evaluation resources for our affiliates, grantees, volunteer program leaders, and the broader Wikimedia community to connect to resources and experienced people to help them exchange learning to be successful; and
  • executing and reflectively applying research and evaluation work to inform the Foundation's community engagement strategies.
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Sumeet Bodington (Director)
Sumeet has worked across different industries and sectors over the last 15 years. From impact evaluation in the Banking industry looking at projects across the globe, to Public Health and International Development, to Corporate Accountability Sumeet has lent her skills in for-profit, non-profit, and academicsettings to elevate voices of people who are not normally heard and make sure that their voices are incorporated in program design and implementation to reach intended impact.
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Jaime Anstee
Jaime began at the foundation in 2013 with the development of the program evaluation and design initiative. She has spent years organizing Learning Days, providing support for the AffCom as well as affiliate and movement data collection efforts. Jaime currently leads the teams efforts at identifying practices for evaluating with equity as well as in landscape research and the development of an equity index in which we can assess movement development and progress toward our 2030 aims in the context of related global progress. Jaime has an interdisciplinary Ph.D. in Social Psychology and more than 15 years of experience in evaluation.
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Christina Macholan
Throughout her career, Christina has worked in a variety of analytics leadership, program management, and training roles with teams around the world. Most recently, she helped lead the digital analytics team at NPR, helping to transform the way the organization and its hundreds of Member stations used data to measure the reach, engagement and impact of public radio journalism. Christina has also worked as a data scientist, helped stand up a mobile app developer training program in Egypt, and spent several years designing and delivering free, publicly available digital training programs at Google. Christina has a Masters in Predictive Analytics.
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Dumisani Ndubane
Dumisani has a Diploma in Electrical Engineering and extensive experience in System Analysis and data pattern recognition. He came to the Wikimedia Foundation from a strong background as a volunteer for the local chapter and convener of the African regional meeting. He works at the foundation to monitor, analyze, and share learning from affiliate and Program leaders.
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Rebecca Maung
Rebecca has a PhD in Sociology and an MHS in International Public Health. Before joining the Foundation in 2019, she taught courses in sociology and conducted mixed-methods research on the U.S. environmental movement while pursuing her PhD. Prior to this, she worked in household-level injury prevention research. She manages the annual Community Insights Survey and supports L&E's efforts to better understand how the Foundation can effectively support the Wikimedia movement.
Irene Florez
Irene supports the grants team's efforts with data analysis and data architecture system upgrades. Talk with me about article quality, editing metrics, knowledge gap tracking, search insights, reader insights, grants metrics, Python & Pandas for data analysis, Jupyter Notebooks, Superset.


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Improve the effectiveness and equity of Foundation-led programs and events by collecting, collating, and reporting on data that helps us evaluate program inputs, outputs, and outcomes so that leaders have insights to shape planning and funding decisions.



Collect, analyze, and share data on the demographics, needs, and experiences of movement participants to inform ongoing decision making and determine whether we are meeting Foundation goals related to a thriving movement and so that ultimately, we can create a more equitable movement.

See: Community Insights and Wikimedia Affiliates Data Portal


  • 定量および定性評価ツール、指標、データアプローチ(アンケートを含む)を開発する。
  • Qualtrics調査システムへのアクセスの提供:アカウント利用、利用者とのコミュニケーション、利用規約の維持、Qualtricsに関する利用者の技術と設計両面の質問をサポートする。
  • プログラム執行役やイベント調整役、助成委員と協力して助成金受給者プログラムと評価計画を見直し、評価する。
  • 評価の戦略と計画、プロセスを実装し監視する。
  • 異なる集団から定量および定性データを収集し分析する。
  • ウィキメディア運動の主催者ツールに向けて、内部設計と開発インプットを実施。


評価能力開発の振り返り 2013-2017年





  • 四半期ニュースレターに向けて、タスクとワークフローの追跡および管理に参加する。プログラムの実施能力と学習交流を向上させるため、週2回のチームミーティングと管理者会議、毎月の部門会議ならびにチームおよび各人の目標設定を実施する。
  • 戦略計画と説明責任を支援するため、WMFの全体戦略会議への参加に加え、四半期および1年度ごとにチームの取り組みを計画し報告する。


テーマ別の担当者とは … L&E 担当者
提携団体のデータ Dumisani、Jaime
コミュニティの洞察 Becky、Jaime
Grants Data Irene, Jaime
データ・ツールと指標 Jaime、Becky
Evaluation 戦略 Becky, Jaime
Global Landscape Data Jaime
調査の設計と分析 Becky, Jaime