On the 24th September 2021, the Centre for Data Analytics and Society held its annual partner event online for the first time. Attended by academics from across the CDT institutions and representatives from partner organisations, the event proved a great opportunity for students to get together and share their work, catching up or in some cases meeting for the first time!
The event was planned and delivered by a selection of students from multiple cohorts and home institutions, working together under the guidance of CDT management to plan an engaging and enjoyable virtual conference. Students moving into Year 3 and 4 were split into theme groups and delivered lightning talks on aspects of their PhD projects, while students moving into Year 2 presented posters in a virtual networking space. You can view the posters at the bottom of this article.
Representatives from the Department of Work & Pensions, Esri, Sheffield City Region, HERE Technologies and Geolytix joined the event to deliver presentations on their work and to participate in a panel discussing how data science is used in their field, and providing tips for PhD students looking to move into commercial or public sector work after graduating.
The event closed with a pub quiz in GatherTown, hosted by our student delivery group. We’re keeping our fingers crossed that next year, we’ll be able to celebrate another successful event in a real pub together!
Research posters presented by Year 2 students
Using Content And Sentiment Analysis To Understand Populism In Donald Trump’s Speeches- Ruth Neville
Text mining & sentiment analysis of Boris Johnson’s lockdown announcements- Nastazja Laskowski
Spanish house prices, What factors are important- Gladys Kenyon
Predicting strokes- Ron Bar-Ad
Predicting Outcomes of Apprenticeships Delivered within Sheffield City Region using Machine Learning- Shivani Sickotra
Police Twitter presence in the period after George Floyd’s death- Erica Kane
How Reliably Can Vivacity Cameras Count People- Mushtahid Salam
Green Homes Grant- Cameron Ward
Dimensionality Reduction for Identifying Valuable Airline Customers- Amy Jungmin Seo
A machine learning approach to understanding factors- Ellie Marfleet