Our second set of online talks, on the theme of Network Visualisations, took place on 19th October 2020.
Talk 1: “MiRANA: Visualising networks in genetic epidemiology”, Chris Moreno-Stokoe
MiRANA is an upcoming visualisation tool which is intended to help genetic epidemiologists explore and evaluate network effects in their data. MiRANA arranges estimates for the effects of traits on eachother (e.g., the effect of BMI on diabetes) to produce a public health network. Aimed for use in Mendelian Randomisation research, Chris Moreno-Stokoe demonstrated the ease of use of this tool and showed output visualisations of network effect (including use in a data exploration game). Chris is a third year PhD candidate studying genetic epidemiology and interactive data visualisation. MiRANA is in development for an official launch next year.
Chris provided the following links for people to use the tool with an example dataset:
Chris’s slides can be downloaded here.
Talk 2: “A visualisation of Isambard Kingdom Brunel’s steamship social network”, Gareth Jones
The construction of the three great steamships, starting with the SS Great Western, involved many hundreds of people. In this project we built a visual social network using a d3 force graph to investigate the relationships between the key individuals involved in the construction of each ship. Working with Dr James Boyd at the Brunel Institute, the network was constructed based on the analysis of hundreds of letters of correspondence between Brunel and the engineers, architects and investors involved in each project. The network is still under development and is available at https://brunels-network.github.io/network/.
The simple simple force graph simulation example Gareth created using the d3 force library can be found here https://github.com/gareth-j/d3-react-example
Research Software Engineering run a mailbox for queries – firstname.lastname@example.org – code design, testing and performance questions.
Gareth’s slides can be downloaded here.
In November 2019 we had Dr Coral Manton from Bath Spa University speak to the group:
Algorave live-coding, AI activisim and historical visualisation with Coral Manton
Algoraves are about dancing to live music and visuals made with code.
Coral Manton is an interdisciplinary artist, game developer and technologist with a specialism in data visualisation, interactive design, VR/Mixed-Reality, immersive experiences and live-coding. She is Lecturer in Creative Computing at Bath Spa University.
Coral gave a talk on live-coding music and visuals using open-source software, and present two recent projects, a design activism project, Women Reclaiming AI and a historical visualisation prototype she has created for the SWCTN. She also included a short workshop in making music and visuals with code – as a taster to algorave.
Take a look at Run the code: is algorave the future of dance music?
In collaboration with the MRC Integrative Epidemiology Unit at Bristol, we hosted Will Stahl-Timmins from the BMJ coming to talk about infographics – details below.
Information graphics in health science – Dr Will Stahl-Timmins, BMJ
February 10th 2020
Will Stahl-Timmins is data graphics designer for The BMJ, where he designs and commissions infographics, data visualisations and interactive pieces to update busy health professionals on the latest developments in health science. He will be explaining the design process used at The BMJ – from raw copy submitted by academic authors and journalists, through roughs and ideation, negotiation with authors, to realisation, coding interactivity and publishing the graphics. He will also discuss some of the skills and techniques needed for producing data graphics for web and print, and highlight some ways that individuals and teams could make use of design methods to explain complex health data.
Will’s talk can be found on YouTube here
He can be found on Twitter here
On 28th September 2020 we held out first online data visualisation session, with the following 2 talks:
Talk 1: “Mapping community resilience and vulnerability during the COVID-19 pandemic. ” Nina Di Cara (Population Health Sciences, UoB)
At the beginning of the COVID-19 pandemic in the UK there was a need to understand which communities needed the most help from the government and third-sector, as well as which communities were already supporting themselves through mutual aid efforts.
In partnership with Public Health Wales our group, the Dynamic Genetics lab, developed a novel visualisation of need and support in Wales by drawing together multiple data sources, from administrative data to social media feeds (available at https://covidresponsemap.wales/). The map allows users to dynamically explore the distribution of vulnerability and support by combining different datasets of interest, which allows users to answer the most relevant questions to their use-case. In this talk we will discuss the process of developing the map, the tools we used, and our reflections on developing data science resources for decision making in a crisis.
Nina’s slides can be found here Nina Data Vis Group – COVID-19 Map.
Talk 2: “Using d3.js to visualise food hazards in the United Kingdom” Robert Eyre – winner of the most recent JGI data visualisation competition
No abstract – Robert will talk about the design process behind his winning visualisation for the 2020 JGI data visualisation competition, which can be seem here https://roberteyre.github.io/FSAComp/
Robert’s slides can be found here dvg_robert_eyre