Creative Commons

Mentors: Student: amandayclee

One of the most important workflows for developing software is having a proper development environment. This project aims to create a set of Ansible playbooks and Docker containers to allow developers to easily run a local environment that closely mimics the software that Creative Commons runs in production.

Mentors: Student: Naisha Sinha

Quantifying the Commons — an initiative emerging from the UC Berkeley Data Science Discovery Program — aims to quantify the frequency of open domain and CC license usage for future accessibility and analysis purposes. To date, previous advancements have not included automation or combined reporting, which are crucial for minimizing human error and ensuring timely updates — especially when engaging with substantial streams of data. Therefore, the primary objective of this project is to develop automation software for data collection, processing, and report generation, ensuring that the Quantifying reports are consistently updated and never more than three months out-of-date.

Mentors: Student: Ayush Sahu (Murdock9803)

The goal of this GSOC program is to modernize the CC Resource Archive website by implementing a comprehensive visual overhaul to align with current Creative Commons aesthetics and functionality standards. Utilizing the Internal Design System (Vocabulary), the project aims to upgrade the visual design, implement semantic, accessible, and standards-compliant HTML, CSS, and JavaScript, and improve user experience (UX) for resource submission while ensuring site stability on GitHub Pages. Through these efforts and solid documentation, the revamped Resources Archive will meet modern standards, enhance usability, and facilitate maintainability for both users and developers.

Mentors: Student: Saurabh K

The Creative Commons (CC) legal tools are composed of three parts: a legal code, a deed written in simple language, and a machine-readable layer. Unfortunately, the machine-readable layer has not been updated in some time and contains unresolved issues. To address this, the task at hand is to extend the CC Legal Tools App to generate deterministic RDF/XML files for all of the legal tools. This will bring the machine-readable layer up to date with current specifications and ensure that the legal tools are well-organized and consistent, also the end result will be an improved user experience and a more reliable and efficient system for those utilizing the CC legal tools.

Mentors: Student: AyanChoudhary

<p>The CC Search website is a tool that is available to everyone on the internet, but its accessibility is quite low. The reasons for its low accessibility are varied in nature which affects different sections of people. Due to this reduced accessibility, it is not possible for everyone to completely utilize all the features that cc search provides and thus it becomes imperative to fix this issue. The final deliverable of this project will be a highly accessible website which everyone on the web can access from any device or region and which fully accommodates every visitor to enable them to utilize the search to its fullest.</p>