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13-14/07/2022 – Failed it to Nailed it: Nailing your Data Visualisation: Training Workshop

July 13 @ 10:30 am - July 14 @ 4:00 pm

£10 – £50

Registration Link: https://store.southampton.ac.uk/conferences-and-events/faculty-of-engineering-and-physical-sciences/school-of-chemistry/nailing-your-data-visualisation-handson-workshop

Costs:
£10 – Virtual Attendance
£25 – In Person Day Attendance (includes attendance during the day on both days and lunch on both days)
£50 – In Person Residential Attendance (includes attendance during the day on both days, lunch on both days, dinner on the 13th and accommodation on the 13th).

Description:
This event forms part of the ‘Failed it to Nailed it series’. This series is run by the Artificial Intelligence for Scientific Discovery Network+ (AI3SD), the Cell Press Patterns Journal and the Physical Sciences Data-Science Service (PSDS).  This event is the second in our 2022 edition of the ‘Failed it to Nailed it’ series. This event is designed to teach you how to nail your data visualisation. There will be talks on the importance of data visualisation and how to tell your story through your data, and there will some technical training sessions that delve into some of the tools and techniques that can be used for this. There will be a number of challenges to choose from. Feel free to come in a team or come solo and we will match you up. There will be helpers on hand if anyone needs advice.

Practical Requirements:
This is a hands on workshop so after the talks there will be some team based practical activity. You will be expected to bring your own device. If this is not possible please let us know when you register.

Location:
This is a hybrid event, you are welcome to sign up and take part physically or virtually as you wish. The physical event will take place at Chilworth Manor Hotel in Southampton, and the talks will be streamed via Zoom. Virtual teams will be placed into breakout rooms, and helpers be on hand to help both physical and virtual attendees as required. 

Challenges:
The challenges for the practical element are quite flexible, to allow your team to explore your data. Remember that data visualisation is about telling a story to your audience, so be sure to consider who your audience is and what story you want to tell.  These can be done in any of the three languages you have just heard about! You can also incorporate different aspects of multiple challenges if you wish. 

  1. Displaying chemical information: In this challenge we want you to incorporate the display of chemical structure into your data visualisation. You can choose to use a dataset from your own research if you want, or we have a couple of datasets that you can use:
    Solubility Challenge Dataset & Extended Solubility Dataset
  2. Interactive visualisation: In this challenge we would like you to explore interactive data visualisation using a dataset of your choice. This can be completed in any language, but here are some d3 examples to give you an idea of different interactive methods: https://d3-graph-gallery.com/interactivity.html. Interactivity can be whatever you want it to be as long as it is “interactive” some simple interactivity includes: highlights on mouseovers, tooltips, colour changes, zooming etc. However, this can also involve more complex visualisation such as time-series data or changing display based on relationships between data.
  3. Tidy Tuesday data visualisation: In this challenge we would like you to pick a dataset from the tidy Tuesday github repository. These datasets are more general, examples include: Chocolate bar ratings, board games, UK gender pay gap among many others. https://github.com/rfordatascience/tidytuesday/tree/master/data/2022. If you have additional knowledge about the subject of the dataset that your group chooses then you can also incorporate this into your data visualisations.
  4. Bring your own dataset: In this challenge we would like you to work on visualizing one of your own datasets. Please note: these datasets must be something that is able to be shared publicly. If you have sensitive or restricted data then this should not be used in this hackathon.

Agenda:

Day 1 – 13th July

  • 10:00-10:20: Registration & Coffee
  • 10:20-10:30: Welcome – Dr Samantha Kanza & Dr Nicola Knight (University of Southampton)
  • 10:30-11:30: Introduction to Data Visualisation – Dr Rita Borgo (Kings College London)
  • 11:30-12:30: (Reproducible) Data Visualisation with R and how to make interactive things with R – Miss Charlie Hadley (Visible Data Ltd)
  • 12:30-13:30: Lunch
  • 13:30-14:30: Data Visualisation with Python – Mr Samuel Munday (University of Southampton)
  • 14:30-15:15: Visualize Your Data for the Web using D3.jsDr Alfie Abdul-Rahman (Kings College London)
  • 15:15-15:30: Coffee Break
  • 15:30-15:45: Introduction to Challenges – Dr Samantha Kanza & Dr Nicola Knight (University of Southampton)
  • 15:45-17:30: Hacking
  • 18:00-19:30: Drinks Reception
  • 19:30: Dinner

Day 2 – 14th July

  • 07:00-09:30: Breakfast
  • 09:30-09:40: Welcome & Coffee Available
  • 09:40-10:40: Hacking
  • 10:40-11:00: Coffee Available
  • 11:00-11:30: Data Visualisation in Publishing & Communication – Dr Sarah Callaghan (Patterns)
  • 11:30-12:30: Hacking
  • 12:30-13:30: Lunch
  • 13:30-14:45: Hacking
  • 14:45-15:00: Coffee Available
  • 15:00-16:00: Group Feedback / Discussion
  • 16:00-16:15: Wrap up

Abstracts & Speaker Bios:

  • Introduction to Data Visualisation – Dr Rita Borgo: This talk will provide an introduction to different aspects of data visualisation.
    Bio: Dr Rita Borgo is a Senior Lecturer in Computer Science at Kings College London. Rita is also the Head of the Human Centred Computing Group. 
  • (Reproducible) Data Visualisation with R and how to make interactive things with R – Miss Charlie Hadley (She/Her): In this talk Charlie will introduce the bare bones of doing reproducible data visualisation with R using the {ggplot2} package. She’ll also introduced both html widgets and shiny as tools for making interactive things with R.
    Bio: Charlotte’s been teaching and consulting in data visualisation since 2012 in both academia and industry. She’s been focused solely on coding in R since 2015 and launched the Interactive Data Network at University of Oxford that supports researchers in increasing the impact of open data sets through interactive data visualisations built with R and Shiny. Charlie is now an independent consultant, twice a year she teaches on the R in 3 Months course which is her favourite project.
  • Data Visualisation with Python – Mr Samuel Munday: We’ll be covering how to create different types of plots in Matplotlib, ranging from simple line graphs to interactive 3D visualisations, before finishing with a demonstration of how to integrate RDKit with Matplotlib in order to show interesting properties of chemical structures.
    Bio: Samuel Munday is a Senior Research Assistant at the University of Southampton. He is currently part of the ICURe programme, and his research focus is in the digital economy space, interviewing and working with industry to assess the need for systems that can automatically curate and contextualise information from paper records. Samuel graduated from the University of Southampton in 2018 with an MChem in Chemistry and Maths, and prior to undertaking his recent position, he worked as a Research Technician at the University, and was involved with a variety of different projects. He led the development and implementation of a machine learning platform for the polymeric materials sector, aiding them in bringing new products to market faster. He has also developed and helped deliver a Python programming course for undergraduate Chemists as well as being involved in assessing the ethical implications of implementing AI and data sharing across the food supply chain.
  • Visualize Your Data for the Web using D3.js– Dr Alfie Abdul-Rahman (She/Her): This talk will provide you with a brief introduction to creating simple web-based data visualizations using D3.js. You do not need any previous coding experience: the talk will take you through the process of creating a webpage, loading a data file, creating a simple visualization, and adding some basic interactivity to your visualization. The talk will use HTML, CSS, and SVG, as well teaching its core technology d3.js.
    Bio: Alfie Abdul-Rahman is a Lecturer in Computer Science at King’s College London. She received her PhD from Swansea University in Computer Science. Before joining King’s College London, she was a Research Associate at the University of Oxford e-Research Centre. She worked as a Research Engineer in HP Labs Bristol on document engineering, and then as a Software Developer in London, working on multi-format publishing. Her research interests include information visualization, computer graphics, human-computer interaction, and digital humanities.
  • Introduction to Challenges – Dr Samantha Kanza (She/Her) & Dr Nicola Knight (She/Her): This talk will introduce the different challenges for the hackathon part of this event.
    Bio: Dr Samantha Kanza is an Enterprise Fellow at the University of Southampton. She completed her MEng in Computer Science at the University of Southampton and then worked for BAE Systems Applied Intelligence for a year before returning to do an iPhD in Web Science (in Computer Science and Chemistry), which focused on Semantic Tagging of Scientific Documents and Electronic Lab Notebooks. She was awarded her PhD in April 2018. Samantha works in the interdisciplinary research area of applying computer science techniques to the scientific domain, specifically through the use of semantic web technologies and artificial intelligence. Her research includes looking at electronic lab notebooks and smart laboratories, to improve the digitization and knowledge management of the scientific record using semantic web technologies; and using IoT devices in the laboratory. She has also worked on a number of interdisciplinary Semantic Web projects in different domains, including agriculture, chemistry and the social sciences.
    Dr Nicola Knight is an Enterprise Research Fellow at the University of Southampton working on the Physical Sciences Data-Science Service (PSDS). She completed her Masters of Chemistry (MChem) at the University of Southampton previously before undertaking a PhD in Chemistry under the supervision of Professor Jeremy Frey. Her PhD focused on the interface between Chemistry and Computing with research in chemical modelling, remote experiments and the implementation of IoT technology in scientific research. Nicola’s current research interests are in the use of computing in scientific labs and notetaking with particular interest in IoT technologies and streamlining the research process.
  • Data Visualisation in Publishing & Communication – Dr Sarah Callaghan: Abstract: Coming Soon.
    Bio: Sarah comes to Patterns from a 20-year career in creating, managing, and analyzing scientific data. Her research started as a combination of radio propagation engineering and meteorological modeling, then moved into data citation and publication, visualization, metadata, and data management for the environmental sciences. She was editor-in-chief of Data Science Journal for 4 years and has more than 100 publications. Her personal experience means she understands the frustrations that researchers can have with data. She believes that Patterns will bring together multidisciplinary groups to share knowledge and solutions to data-related problems, regardless of the original domain, for the benefit of humanity and the world.

FAQS

  • Who should attend? Anyone with an interest in learning about visualising data, the challenges or interested in visualising their own datasets We welcome members of academia or industry working in or with an interest in visualising data. Feel free to come as a team, or come by yourself and we will find you a team to work with.
  • What will I get out of it? You will gain useful skills from the talks provided, be taught about the importance of visualisation and hear about a range of interesting useful ways of visualising data and have the opportunity to take part in a hackathon in a supportive team environment with mentors and helpers. You will have the opportunity to work with other likeminded people from different academic and industrial backgrounds. There will be lunch and dinner (and accommodation if required) provided on day 1, and lunch on day 2, with multiple coffee breaks throughout the day.
  • What are the aims of the workshop? The aims of this session are to teach you about the importance of data visualisation, skill you up on different methods of visualising your data and given you the opportunity to try these new skills out during the workshop.

Organisers

AI3SD
Physical Sciences Data-Science Service (PSDS)
Patterns

Venue

Chilworth Manor Hotel
Chilworth Manor Hotel, Chilworth
Southampton, Hampshire SO16 7PT United Kingdom
+ Google Map
Phone:
023 8076 7333
Website:
https://www.chilworthmanorhotel.com/