GithubHelp home page GithubHelp logo

Hi πŸ‘‹ I'm Jon

Jon's LSE page Jon's LinkedIN Jon's Gmail Jon's Gmail Jon's Gmail

Mastodon Follow

Webpage: https://jonjoncardoso.github.io/

Things I am involved in now 1:

πŸ“Š Research:

Project: GENIAL - GENIAL: GENerative AI Tools as a Catalyst for Learning

A focus group led by my colleague, Dr Marcos Barreto (LSE Department of Statistics), and I. We want to explore the practical applications of Generative AI tools for education and understand how they might specifically enhance (or hurt) programming skills and critical thinking. We will design exercises and learning materials and test them on several undergraduate and a graduate course at LSE this coming academic year.

You can read more about it on the dedicated website here.

Project: DISCORDIA - Uncovering Patterns of Parliamentary Dissent

Led by me and a dedicated team of research assistants, this project explores the fascinating realm of political dissent within the UK Parliament. We aim to identify and understand the indicators in MPs' speeches at the House of Commons that may suggest a likelihood of rebelling against party lines. Using a combination of data science and political analysis, our goal is to gain insights into the patterns of parliamentary rebellion. We're experimenting with various machine learning models and investigating the use of explainable AI to enhance our analysis. The findings from this project are expected to shed light on the nuances of political discourse.

πŸ–‡οΈ A dedicated website will appear here soon

Collaborators:

  • Joint research with Prof. Ken Benoit.
  • Research Assistant: Terry Zhou (2nd Year BSc in Politics and Data Science, LSE)
  • Research Assistant: Nikolai Semikhatov (2nd Year BSc in Politics and Data Science, LSE)

Project: Course Selection Pathways at LSE

A dataviz project to visualise and understand how students choose and navigate through their optional courses at LSE.

Current collaborators:

Past collaborators:

Project: πŸ‡΅πŸ‡±πŸ€πŸ‡ͺπŸ‡Ί Emoji, Language Games and Political Polarisation

What can the emojis you use in your social media profile reveal about your political values? πŸ€”

Read our first paper:

Luxmoore, Sara, Jonathan Cardoso Silva, and Pedro Ramaciotti. β€˜Emoji, Language Games and Political Polarisation’. In Fourth Conference on Computational Humanities Research. Paris, France, 2023.

Co-authors:

VIMuRe

You can read about VIMuRe on paper recently published at JRSS A (De Bacco et al. 2023: "Latent Network Models to Account for Noisy, Multiply Reported Social Network Data."

  • I am writing tutorials and maintaining the VIMuRe packages in R and Python.
  • πŸ—£οΈ At the end of June 2023, I will be in Portland, Oregon for the Sunbelt 2023, teaching a workshop about VIMuRe alongside Daniel Redhead & Elly Power

πŸ§‘β€πŸ« Teaching:

I have been preparing material for the upcoming academic year at LSE. I will teach the following courses in the 2023/24 academic year: DS105 and DS202.

Footnotes

  1. Read about the /now page "movement" ↩

Jon Cardoso-Silva's Projects

Jon Cardoso-Silva doesn’t have any public repositories yet.

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    πŸ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. πŸ“ŠπŸ“ˆπŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❀️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.