Proposal for:https://phabricator.wikimedia.org/T346374
**=Profile**=
Name: Shriya Kamat Tarcar
Email: shriyakt08@gmail.com
Zulip nickname: Shriya Kamat Tarcar
Github Username: shri3016
Location: India
**=Synopsis**=
**Project Description**
Conceiving, writing, building and administering, and analyzing a survey that will help Wikimedia better understand those who edit and use translation to contribute across different language versions of Wikipedia.
Participating in all stages of research, from meeting with stakeholders to decide what questions to ask, all the way through data collection, analysis, and composition of a research report.
**=Internship Tasksks=
**AIMS & GOAL**
Better understand those who use translation and edit across multiple language versions of Wikipedia. Understand their motivations, goals, and challenges in a way that informs product development to support their efforts.
**IMPACT**
This project is expected to have direct implications for product teams (including but not limited to the Language and Growth Teams), helping them to better understand the experience of multilingual editors as well as identify product interventions to support their work.
**OUTPUTS**
Analysis and shareable report of the survey.Also,there is an opportunity to make space for direct sharing and discussion with relevant Wikimedia Foundation teams.
**=Mentors:**=
@MRaishWMF
**=Timeline:**=
The internship begins on December 4, 2023, and ends on March 1, 2024.
Kindly note that this timeline serves as a reference and will undergo modifications based on the project progress and mentor feedback.
**`Pre-Outreachy period | Community bonding`**| **Week** | **Deliverables** |
Participated in the Wikimedia Zulip chat stream, engaging with other community members and learning more about the project.|------------ |-----------|
|Pre-Outreachy period/community bonding|Participated in the Wikimedia Zulip chat stream, engaging with other community members and learning more about the project.Completed all the microtasks on Phabricator, demonstrating my ability to work on a three-month-long project.|
**`Week 1 `**|Week 1 |Familiarize myself with the Wikimedia community and multilingual editing on Wikipedia.Read the literature review on multilingual editors and their experiences on Wikipedia.Start developing a list of questions for the survey instrument. |
Familiarize myself with the Wikimedia community and multilingual editing on Wikipedia.|Week 2 |Continue developing the survey instrument.Translate the survey instrument into multiple languages.Develop a recruitment plan for reaching multilingual editors.|
Read the literature review on multilingual editors and their experiences on Wikipedia.|Week 3|Finalize the survey instrument and send it to the mentor for feedback.Start recruiting participants for the survey.Monitor the survey response rate and make adjustments to the recruitment plan as needed.|
Start developing a list of questions for the survey instrument.|Week 4|Continue recruiting participants for the survey.Start collecting data from the survey.Clean and analyze the preliminary data. |
**`Week 2 `**|Week 5| Continue collecting data from the survey.Analyze the data to identify trends and patterns.Start developing a preliminary analysis of the data.|
Continue developing the survey instrument.|Week 6|Continue analyzing the data.Develop a more detailed analysis of the data, including quantitative and qualitative analysis.Start writing the report that summarizes the findings and recommendations. |
Translate the survey instrument into multiple languages.|Week 7|Continue writing the report.Get feedback on the report from the mentor and other community members.Make any necessary revisions to the report. |
Develop a recruitment plan for reaching multilingual editors.|Week 8|Finalize the report.Prepare a presentation of the project findings to the Wikimedia community. |
**`Week 3 `**|Week 9|Practice your presentation and get feedback from the mentor and other community members.Submit the final report to the mentor and other relevant stakeholders.|
Finalize the survey instrument and send it to the mentor for feedback.|Week 10|Give your presentation to the Wikimedia community.Answer questions from the community about your findings and recommendations. |
Start recruiting participants for the survey.|Week 11|Meet with the relevant Wikimedia Foundation teams to discuss the findings of the report and brainstorm ideas for how to implement the recommendations.Develop a concrete plan for implementing the recommendations, including timelines, resources, and responsible parties.Share the plan with the mentor and other relevant stakeholders for feedback. |
Monitor the survey response rate and|Week 12|Begin working on the tasks that were outlined in the implementation plan.Keep the mentor and other stakeholders updated on your progress.Be prepared to make adjustments to the recruitment plan as needed. |
**`Week 4 `**
Continue recruiting participants for the survey.
Start collecting data from the survey.
Clean and analyze the preliminary data.
**`Week 5 `**
Continue collecting data from the survey.
Analyze the data to identify trends and patterns.
Start developing a preliminary analysis of the data.
**`Week 6 `**
Continue analyzing the data.
Develop a more detailed analysis of the data, including quantitative and qualitative analysis.
Start writing the report that summarizes the findings and recommendations.
**`Week 7 `**
Continue writing the report.
Get feedback on the report from the mentor and other community members.
Make any necessary revisions to the report.
**`Week 8`**
Finalize the report.
Prepare a presentation of the project findings to the Wikimedia community.
**`Week 9 `**
Practice your presentation and get feedback from the mentor and other community members.
Submit the final report to the mentor and other relevant stakeholders.
**`Week 10 `**
Give your presentation to the Wikimedia community.
Answer questions from the community about your findings and recommendations.
**`Week 11`**
Meet with the relevant Wikimedia Foundation teams to discuss the findings of the report and brainstorm ideas for how to implement the recommendations.
Develop a concrete plan for implementing the recommendations, including timelines, resources|Post-Outreachy period/finishing touches|Get feedback on the final deliverables from the mentor and other community members.Write a blog post or other article about the project experience.Contribute to the Wikimedia community in other ways, and responsible parties.
Share the plan with the mentor and other relevant stakeholders for feedback.
**`Week 12 `**
Begin working on the tasks that were outlined in the implementation plan.
Keep the mentor and other stakeholders updated on your progress.
Be prepared to make adjustments to the plan as needed.
**`Week 13 `**
Think about what you learned during your internship and what you are most proud of accomplishing.
Write a blog post or other article that shares your experiences and reflections with the Wikimedia community.
Share your article with the mentor and other relevant stakeholders for feedback.
**`Post-Outreachy period | Finishing touches`**
Get feedback on the final deliverables from the mentor and other community members.
Write a blog post or other article about the project experience.
Contribute to the Wikimedia community in other ways,such as by mentoring other Outreachy interns or translating Wikipedia content. such as by mentoring other Outreachy interns or translating Wikipedia content.|
**|--------------|-------------------|
=Deliverables**=
1. Survey Framework and Administration:
Develop a comprehensive survey with well-crafted questions to understand the motivations, goals, and challenges of multilingual Wikipedia editors. Oversee the smooth administration of the survey to ensure diverse and representative data collection.
2. Thorough Data Analysis and Insights:
Conduct a detailed analysis of the survey data, extracting meaningful insights. Provide a comprehensive report highlighting key findings, trends, and patterns in the motivations and challenges faced by those using translation across different language versions of Wikipedia.
3. Product Development Recommendations:Translate survey insights into actionable recommendations for product development, specifically targeting improvements that support the needs and goals of multilingual editors. Clearly outline interventions that can enhance the user experience within Wikimedia.
**=About Me**=
Passionate about leveraging technology for positive societal impact, I am Shriya Kamat Tarcar, a Computer Science Engineer from Goa,India. Notably,I got selected as one of the 15 fellows globally for the Data Science for Social Good Fellowship at the University of Warwick,UK where I collaborated with West Midlands Combined Authority and Pure Leapfrog to predict energy efficiencies, contributing to regional carbon neutrality goals in the West Midlands. I also worked as a Developer Intern at companies like Timble Law Associates and SAWO labs.
I love participating in hackathons,coding competitions and community program initiatives(I have been a Microsoft Learn Student Ambassador[Beta])Beyond the realms of technology, my enthusiasm extends to diverse interests, like acting on national television,being a radio jockey on All India Radio and 92.7 BIG FM,taking part in debate,fancy-dress,dance,drawing and sanskrit shloka competitions.I'm on a journey to make an impact both in and outside the tech sphere.