Research @ WDSSDelivering insight powered by data2022-04-05T00:00:00.000Zhttps://research.wdss.io/Warwick Data ScienceHexoGrouping Parliamentary Constituencies using Clustering Analysishttps://research.wdss.io/political-clustering/2022-04-05T00:00:00.000Z2022-04-05T00:00:00.000Z
Do the London, Scotland, or the Red Wall parliamentary constituencies form cohesive groups? We explore using different choices of clustering techniques.
Graph Neural Networks for link predictionshttps://research.wdss.io/link-predictions/2022-03-20T00:00:00.000Z2022-03-20T00:00:00.000Z
Or yet in wise old Ravenclaw, If you have a ready mind, Where those of wit and learning, Will always find their kind.
Store Sales - Time Series Forecasting Challengehttps://research.wdss.io/sales-forecasting-challenge/2022-02-12T00:00:00.000Z2022-02-12T00:00:00.000Z
We enter a Kaggle competition and use time-series forecasting to predict store sales on data from Corporación Favorita, a large Ecuadorian-based grocery retailer.
One-Hit Wondershttps://research.wdss.io/one-hit-wonders/2022-01-16T00:00:00.000Z2021-01-16T00:00:00.000Z
According to Wikipedia, a one-hit wonder is any entity that achieves mainstream popularity, often for only one piece of work, and becomes known among the general public solely for that momentary success. In this project we use the publicly available data from Spotify to find artists in the music industry who can be regarded as one-hit wonders.
Oh Hell! - Reinforcement Learning for solving card gameshttps://research.wdss.io/oh-hell/2021-12-04T00:00:00.000Z2021-12-04T00:00:00.000Z
In this article we are going to plays cards. Well, not exactly ... with the power of reinforcement learning we are going to train intelligent agents that will play the game for us!
Reinventing Test and Trace: A Bayesian Approach For Modelling SARS-CoV-2 Setting-Specific Transmissionhttps://research.wdss.io/track-and-trace/2021-11-14T00:00:00.000Z2021-11-14T00:00:00.000Z
One of the key failures many countries had in dealing with the COVID-19 pandemic was a lack of coherent, data-driven analysis on setting-specific transmission risk. In this article, we outline a novel first-principles hierarchical Bayesian model for setting-specific transmission that, alongside the corresponding data collection methodology, could help governments in determining pandemic control policy
Predicting aqueous solubility with neural networkshttps://research.wdss.io/chemical-properties/2021-10-19T00:00:00.000Z2021-10-19T00:00:00.000Z
Predicting aqueous of chemical compounds without the presence of a physical sample would make the process of drug discovery easier. Can machine learning help us achieve this?
Random Coin Flipshttps://research.wdss.io/random-coin-flips/2021-10-08T00:00:00.000Z2021-10-08T00:00:00.000Z
Humans are inherently bad at understanding randomness and probability. The classic example is the coin-flip. In this post use statistical hypothesis testing to show this phenomenon.
Computational Approach to Evolutionary Game Theoryhttps://research.wdss.io/evolutionary-game-theory/2021-04-04T00:00:00.000Z2021-04-04T00:00:00.000Z
From abstraction to simulation, we try to solve the same evolutionary problem using both analytical and computational techniques but do we reach the same conclusions?
Visualising the Intersection of Disease and the Human Genomehttps://research.wdss.io/genome-visualisation/2021-02-22T00:00:00.000Z2021-02-22T00:00:00.000Z
Since the Human Genome Project completed its survey of Homo sapian genes in 2003, we have had access to an incredibly powerful dataset for understanding disease and discovering new diseases. In this post, we demonstrate an interactive web app visualising such data.
Simulating Planetary Motion with Pythonhttps://research.wdss.io/planetary-motion/2021-01-10T00:00:00.000Z2021-01-10T00:00:00.000Z
Tracking the motion of the planets is a challenge that is proven to be intractable using pure mathematics alone. Can we, however, find a solution using data science?
A Data-Driven Dive into UK Party Conference Leaders' Speecheshttps://research.wdss.io/leaders-speeches/2021-01-04T00:00:00.000Z2021-01-04T00:00:00.000Z
Wordclouds, sentiment, and scrabble scores. In this post, we analyse and visualisation a collection Leaders' speeches, using traditional and not-so-traditional text analysis techniques.
A Polish Approach to Countdownhttps://research.wdss.io/polish-countdown/2020-12-09T00:00:00.000Z2020-12-09T00:00:00.000Z
The Countdown numbers game is notoriously fiendish. That said, with the right computational tricks, it can be solved using only basic coding abilities.
Horsing Around: Problem-Solving Using Monte Carlo Markov Chainshttps://research.wdss.io/horsing-around/2020-11-29T00:00:00.000Z2020-11-29T00:00:00.000Z
What can you do when the mathematical solution to a problem is becoming to complex? Use simulation. Learn more about the application of simulation to a chess-based puzzle in this post.
Quantifying Anonymity: The Science of Staying Privatehttps://research.wdss.io/quantifying-anonymity/2020-09-12T00:00:00.000Z2020-09-12T00:00:00.000Z
In a world where information is everywhere and privacy is paramount, how can we leverage data science to improve and measure the privacy of our personal data?
The Trump Effect: Can Data Explain What We Never Saw Coming?https://research.wdss.io/trump-effect/2020-08-14T00:00:00.000Z2020-08-14T00:00:00.000Z
Everyone has their theories on what led to Trump's surprise victory in the 2016 presidential election, but what does data science have to say on the matter?
A League of Its Own: Rethinking University League Tableshttps://research.wdss.io/league-of-its-own/2020-07-25T00:00:00.000Z2020-07-25T00:00:00.000Z
As universities wrangle over the top spots on the league table, it can be hard to spot the overall trends over the years. To help with this, WDSS have developed a web app to visualise such patterns.
Money for Nothing: An Arbitrage Paradoxhttps://research.wdss.io/money-for-nothing/2020-07-23T00:00:00.000Z2020-07-23T00:00:00.000Z
Who would have thought that such a seemingly obvious decision could lead to a bank exploiting you for an infinite amount of money? Read on to find out how.
Word2Vec: Arithmetic with Wordshttps://research.wdss.io/word2vec/2020-07-05T00:00:00.000Z2020-07-05T00:00:00.000Z
From a young age we build familarity with the rules for adding and subtracting numbers to and from one another, but how could we go about performing arithmetic with words?
Higher or Lower: Reinventing a Classic Card Gamehttps://research.wdss.io/higher-or-lower/2020-06-27T00:00:00.000Z2020-06-27T00:00:00.000Z
How well do you know your celebs? This post discusses a web app developed collaboratively with WDSS members to test just this. Have a play and then learn how it was made.
Urban Cities: A History Told By Datahttps://research.wdss.io/urban-cities/2020-05-23T00:00:00.000Z2020-05-23T00:00:00.000Z
Remnants of history often find themselves scattered in the modern word. With the right tools—in this case, some data-science-savvy—their stories can be brought back to life.
What Factors Actually Affect Your Grades?https://research.wdss.io/school-success/2020-04-19T00:00:00.000Z2020-04-19T00:00:00.000Z
If only there was some way to know how well you'd do in your exams. Well, perhaps data science can get us part way there. Read on to find out how.
Gibrat's Law: The Central Limit Theorem's Forgotten Twinhttps://research.wdss.io/gibrats-law/2020-04-10T00:00:00.000Z2020-05-08T00:00:00.000Z
Hiding in the shadow of the central limit theorm is a lesser-know, but still fascinating aspect of statistics. Read this post to what this is and how we can use it.