---------- Forwarded message --------- From: Chris "Jethro" Schilling<[hidden email]> Date: Fri, Mar 1, 2019 at 9:06 PM Subject: [Wikimedia-l] Project Grants program will fund 20 community-led projects To: Wikimedia Mailing List <[hidden email]>
In the latest round of Project Grants, the committee has recommended 20
projects for a total of approximately $678,666 USD in funding. We received
42 proposals for review, the largest round of proposals we’ve received in a
single round. Please join me in congratulating the applicants! I’d also
like to express my thanks to all applicants this round for their hard work
and engagement with their proposals, and to the Project Grants Committee
for their careful diligence in reviewing and providing crucial feedback
during this round. Without further ado, here’s what we’re funding:
==Software: five projects funded==* Commons Android app v3: This third
version of the Commons mobile uploader app aims to increase app stability,
improve a recommendations feature for nearby places, maintain a limited
connectivity mode, and provide better outreach to underrepresented
* Scribe: Scribe is an editing tool to support underserved Wikipedia
editors, helping them to plan the structure of their new articles and to
find references in their language.
* Culture Gap Monthly Monitoring: The Wikipedia Cultural Diversity
Observatory (WCDO) proposes a set of solutions to regularly assist
communities and individual editors to increase the cultural diversity in
their language editions’ content..
* GlobalFactSyncRE: GlobalFactSyncRE will extract all infobox facts and
their references to produce a tool for Wikipedia editors that detects and
displays differences across infobox facts in an intelligent way to help
sync infoboxes between languages and/or Wikidata. The extracted references
will also be used to enhance Wikidata.
* Wikidata & ETL: This project aims at improving management and increasing
automation of processes loading data into Wikidata, and proposes a tool as
a platform for creation of repeatable processes for bulk loading data into
Wikidata and other Wikibase instances from various data sources.
==Online organizing: four projects funded==* Wiki Loves Monuments
international team/2019 coordination: The international coordination team
for Wiki Loves Monuments (WLM)  proposes to strengthen the foundation
for healthy and sustainable WLM competitions across the world. In this
grant, the team will focus considerable effort on increasing the
sustainability of these events by addressing known issues around developing
best practices, resourcing local teams to run successful events, and
adapting to mobile engagement.
* CEE Spring 2019: This annual international article writing contest generates
content from every country and region in Central and Eastern Europe on 30+
Wikipedias. CEE Spring’s remarkable community spirit plays a central role
in fostering a thriving, collaborative volunteer base in the region. The
grant will continue incentivizing content creation focused on similar
themes from last year, including closing the gender gap, and expanding
minority language Wikipedias, and showcasing the cultural heritage of
Central and Eastern Europe. 
* WM HU/Editor retention program: This grant will fund the editor retention
program in the Hungarian Wikipedia. The project helps the Hungarian
Wikipedia community in decreasing the negative experiences and
strengthening the positive experiences of the contributors; improving the
community atmosphere and strengthening the community cohesion, the
Wikipedia identity, the sense of mission and pride in Wikipedia.
* VisibleWikiWomen2019: Whose Knowledge?, in partnership with Wikimedians
and women’s and feminist organizations around the world, is organizing a
campaign to add more diverse and quality images of women to Commons and
Wikipedia throughout March 2019 to celebrate International Women’s Month.
This year, the organization plans to take what they have learned from 2018
#VisibleWikiWomen and grow the campaign, creating more materials and
connections that will be useful for this year’s campaign and many more
years to come.
==Offline outreach: ten projects funded==* Smithsonian
Wikimedian-in-Residence for Gender Representation: This project will
establish a Wikimedian-in-Residence for the Smithsonian Women's History
Initiative, and increase the representation of women on Wikimedia projects,
and seek ongoing support for a permanent Wikimedian-in-Residence at the
* Action Plan for Wikipedia + Libraries Training in Mexico: OCLC will
investigate the viability of and approach to a Wikipedia+Libraries training
program for library staff in Mexico, to leverage the libraries in support
of the Wikimedia Foundation’s New Readers initiative. This project will
identify a Mexico-based organization that would lead the training, develop
an advisory group, and produce an action plan for how to design and deliver
* Offline Wikipedia in Senegal Schools: The problem this project plans to
address is the absence of an easy, rapid and reliable way to access the
treasure-trove of information contained in Wikipedia. The Offline Wikipedia
in Senegal Schools project is a Train the Trainers project: trainers will
attend a seminar teaching them about offline Wikipedia the Kiwix program.
They will then go out to remote schools in and in turn run a seminar
presenting Kiwix to the teachers. This seminar will be part of the
* Heritage GLAM: This project will focus on growing successful GLAM
partnerships with government institutes, capacity building and documenting
rare archives, books and artwork of historical and cultural importance to
North India with no or little online presence via our project Wiki Loves
Heritage. A part of the project will also be focused on integration of
content with Wikisource and Wikipedia.
* Wikimedian in Residence at UNESCO 2019-2020: Past engagement with UNESCO
has demonstrated that working with Wikipedia to share knowledge allows
UNESCO to reach a far wider public with detailed information that
traditional report publication. The applicants have prepared a roadmap to
mass adoption of open licensing and sharing of content on Wikimedia
projects across the UN. By the end of this grant in early 2020, the project
will result in policies, documentation and processes in place to share
knowledge from across the UN on Wikimedia projects. 
* Wiki Loves Africa 2019: Funding for this project will support prize
distribution efforts associated with local contests supported by Wiki Loves
Africa 2019, an annual public contest where people across Africa can
contribute media (photographs, video and audio) about their environment to
Wikimedia Commons for use on Wikipedia and other Wikimedia projects.
* Wiki Kouman 2019 en Côte d'Ivoire (Local langua in Côte d'Ivoire): The
aim of the WikiKouman project is to increase the visibility and content of
Côte d'Ivoire’s local languages through the Wiktionary and other related
projects. WikiKouman derives its etymology from Dioula, one of the local
languages, in which "Kouman" means "to speak"
* History of Quebec and French-speaking North America: This
Wikimedian-in-Residence project with the Fondation Lionel-Groulx (FLG) aims
to build and support the community of individuals and organizations
interested in developing and improving wikimedia contents pertaining to the
history of Quebec and French-speaking North America.
* Wikipedia Women and Ancestral Knowledge from the Global South in the
Colombian context: In collaboration with Centro de Internet y Sociedad
Universidad (ISUR), this project is aimed at supporting indigenous
communities in Colombia to participate on Wikipedia and enhance the
participation of women through promotion of digital skills and article
development on multiple Wikipedia projects to represent their knowledge.
* Editathons in Pistoia district: The project centers on an edit-a-thon
series in the Pistoia district of Italy. This grant is a way to get a
complete deep-level coverage and to develop a model for localized work for
other regions in Italy.
==Research: one project funded==
* Machine Learning to Predict Wikimedia User Blocks: This project will
involve investigating user misconduct on English Wikipedia using machine
learning techniques to better understand and predict what circumstances
lead to user blocks.