Improve visualisation of running activity data in Strava | Mostly completedUsing R and Shiny
I used R and Shiny, alongside Strava's API, to improve the visualisation and access to information on my activities on Strava. It is a work in progress, but it serves the purpose I aimed for it to.
Australian electoral forecasting
Improve forecasting of Australian federal elections using polls and Bayesian inference | In progressUsing R and Shiny with Luke Heeney and Callum Shaw
I am working with Luke Heeney and Callum Shaw to improve forecasts of Australia's federal election results. The project aims to use a similar methodology to Nate Silver's FiveThirtyEight house model to forecast the composition of Australia's House of Representatives. It will achieve this by combining aggregated polling data with previous electoral results to generate distributions of different outcomes.
Improve visualisations of electoral data from the AEC | Currently on holdUsing R and Shiny
I used R and Shiny to improve the visualisation and access to information from the 2019 Australian Federal Election. I made it to improve my skills at Shiny and R. Despite having a few flaws, it still serves an interesting purpose.
Develop and communicate perspectives on contemporary Australian policies | CompletedWith Charis Yang, Hugh Stirling, Patrice Cialdella, Tom McLeod and Luke Heeney
I coordinated and led a group of six young progressive Australians making a joint submission to the Australian Labor Party's National Policy Forum.
Learn how to make crosswords and support people staying at home during COVID-19 | CompletedWith Alice Lawn (and some others)
After spending a fair amount of time doing crosswords, Alice Lawn and I learnt how to make them. To share our crosswords, we created the COVID-19 Crossword Crew. After creating an online group, we put together a collection of the crosswords which we, and other group members, created throughout the year.