Hi, I'm Max, I'm the project manager and software lead on humaniki. In 2014, soon after the Wikidata release, I saw an opportunity to measure Wikipedia's diversity, at least on one dimension, and created the Wikidata Human Gender Indicators in a previous WMF grant. I'm so pleased to be able to revisit the project and make the 2.0 version that the community deserves. The most fun part I'm looking forward to is getting to meet and see the work of really devoted editors.
Sejal is a design researcher based in Seattle and will be leading the user research on humaniki. She recently graduated from the University of Washington, where she was a member of the Community Data Science Collective and investigated participation dynamics in underrepresented Wikipedia language editions from India. Before switching to research, she was a UX engineering intern for the Wikimedia Programs and Events dashboard project as a part of Outreachy and GSoC programs. Sejal is looking forward to meeting community members to understand their needs and expectations from humaniki and help them make an impact.
Eugenia is a software engineer based in New York and will be concentrating on the front-end for this Humaniki project. She recently graduated from Flatiron School, a software engineering bootcamp. Before she was a software engineer, she was a student, a non-profit worker, and a labor union researcher. She enjoys going on hikes and hanging out with her dog.
Envel Le Hir
Hi, I’m Envel, a data engineer. In 2017, after a conference by Florence Devouard, I created Denelezh to explore the gender gap in Wikidata through several dimensions. As this tool remains in the state of a proof of concept, I’m glad to collaborate with Max and the Humaniki team to build a finished tool to assess the diversity in the content of Wikimedia projects and that will be useful to researchers and the Wikimedia movement.