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Founding Cohort Demo

Yiwen (Eavan) Tuo

Founding Cohort

Paper Party

Upload a paper. Discover the conversations. Join the table.

Project Snapshot

Builder

Yiwen Tuo

PhD Candidate | Visiting Researcher @ Trinity College Dublin

Type

Research Conversation Tool

A system for turning uploaded papers into discoverable literature conversations and discussion spaces.

Mode

Upload, Discover, Dialogue

A simple flow from paper upload to mapped literature context and debate.

What It Does

Paper Party is designed around a simple research workflow:

  • upload a research paper in PDF form
  • discover the surrounding academic conversation
  • join a discussion table and debate with the literature

Core Idea

The live demo frames academic reading as something more social and navigable. Instead of treating a paper as an isolated document, the product aims to help users see the surrounding conversation and step into it.

Published Flow

The current live page presents the project in three stages:

Upload

Drop a research paper in PDF format.

Discover

AI maps the literature landscape around the paper.

Dialogue

Users join tables and debate with the literature.

Why It Matters

This is a strong founding cohort example because it takes a familiar knowledge task, reading a paper, and reframes it as a structured interactive workflow. The project is not only about summarising content. It is about helping users move from solitary reading to contextualised academic conversation.

Visit the Demo

Closing Thought

Paper Party points toward a more collaborative research experience: upload the paper, see the wider discussion, and enter the conversation with more context than a standalone PDF can provide.