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Data Humanism Paper Vault

Description

Welcome to the Data Humanism Paper Vault! This GitHub repository is a collaborative platform for collecting, organizing, and sharing academic papers that are pivotal to the field of Data Humanism. Each paper in this vault is carefully tagged and categorized to enable easy discovery and reference.

Objective

Our aim is to create an extensive resource for researchers, students, and enthusiasts interested in Data Humanism, where papers are intelligently categorized based on themes such as storytelling, emotion, empathy, algorithmic self, and contextual sensitivity.

Features

  • Curated Collection: An expanding collection of significant papers in the realm of Data Humanism.
  • Tagging System: Utilization of tags for categorizing papers based on specific themes and aspects.
  • Markdown Files: Simple-to-edit Markdown files for adding and updating paper entries.
  • Community Contributions: Open for contributions from the global Data Humanism community.
  • Obsidian Annotator Plug-In: Use of the "Annotator" community plug-in within Obsidian for enhanced visualization and interaction with the project data.

Getting Started

To engage with this vault, follow these instructions:

  1. Clone the Repository: git clone https://github.com/Blockrobo/data-humanism.git.
  2. Access the Vault: Open the cloned repository folder.
  3. Browse and Contribute: Explore the papers, contribute new ones, or modify existing tags and categories.

Contribution Guidelines

Community contributions are highly valued! Here’s how to contribute:

  1. Fork the Repository: Start with creating a fork of this repository.
  2. Add or Update Papers: Ensure to follow the existing format for new papers or when updating tags/categories.
  3. Submit a Pull Request: Propose your changes for review and integration into the main repository.

Categories and Tags

  • Storytelling
  • Emotion
  • Empathy
  • Algorithmic Self
  • Contextual Sensitivity
  • [Additional relevant categories]

License

AFL-3.0

Contact and Support

For any form of support, queries, or collaboration proposals, please contact roberto.honegger@uzh.ch.


This README is specifically crafted for the Data Humanism Paper Vault project. It is subject to further updates and modifications to reflect the evolving nature of the project.

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