JGI Student Experience Profiles: Richard Lane 

Richard Lane is a 3rd year PhD student in the Particle Physics Group

JGI Student Experience Profiles: Richard Lane (Ask-JGI Data Science Support 2021-22)

I’m very glad I applied to Ask-JGI; I wanted to get some broader experience with data science than my studies offered and to solve some problems that I wouldn’t ordinarily come across. I found that not only was I exposed to diverse and interesting areas of data science, but also got to be involved with things that I hadn’t considered – the JGI team have a wide range of interests and it was great being immersed in a community interested in everything from data hazards and data ethics to software development and best practices, to outreach and public engagement.

The JGI team and workplace culture were great – the JGI staff and PGR helpers were all lovely and the range of interests and personalities made for a really friendly and dynamic feel. The less academic environment was also a nice change of pace – Ask-JGI felt like a team of professionals working on small, self-contained problems, which contrasted nicely with my less well-defined, more bureaucratic PhD studies.

My favourite part of my JGI experience was taking part in the range of in-person workshops and events that the JGI is involved in throughout the year- I found myself tending a stall at the JGI’s Bristol Data & AI Showcase, organising materials for the Data Week Handbook Resource workshop and attending a research culture networking event. These were all really fun, hugely rewarding, and something I’d recommend to anyone interested in any of the work that the JGI does.

The time commitment doesn’t have to be huge – the work we did was flexible enough that it didn’t impose on my studies during crunch time, and in less busy periods I could tackle more work. The largest project I took on was with a team hoping to improve the student experience, which involved natural language processing of email data. I worked to make a prototype model to classify, label and cluster emails on similar topics. To do this I used several data-science techniques that were familiar to me, but I also had to consider data security, privacy and ethics challenges which I found surprisingly interesting and something I hadn’t encountered before.

Overall I would absolutely recommend joining the Ask-JGI team to anyone interested in engaging with data science and the wider Bristol research community – you’ll get to solve some interesting problems, meet some great people and immerse yourself in the diversity of Bristol’s research.

JGI Student Experience Profiles: Maciej Glowacki

Maciej Glowacki is a 2nd year PhD student in the School of Physics at the University of Bristol

JGI Student Experience Profiles: Maciej Glowacki (Ask-JGI Data Science Support 2021-22)

What made you decide to apply to join the Ask-JGI team? 

Applying to be a part of the Ask-JGI team was an easy choice. Even though I wasn’t actively searching, I always wanted to be a part of a more diverse data science community. I guess I was curious as to how my know-how from particle physics would transfer and be perceived in the wider landscape of working with data, so when the opportunity presented it seemed like the natural fit that would put these questions to rest. 

Looking back, my decision to take a step out of my little corner of the room to discover the huge scope of data science projects was for sure validated! Along the way, I met some fascinating people making headway on challenging and relevant problems.  

What did you find most rewarding about your Ask-JGI experience? 

The hallmark of joining the Ask-JGI cohort is the people you work and interact with. The impressive breadth of talent across the Ask-JGI student team makes it the ideal place to develop and establish really valuable connections in the process. The class of 2022 will stay in touch long after the program’s conclusion! 

What sort of work did you do as a part of your Ask-JGI experience? 

Over the course of the past six months I immersed myself in some really captivating projects, ranging from statistics and machine learning to data visualisation and network analyses. The line of work the JGI is involved in comes in all shapes and sizes; from assisting graduate students with their research programmes to cross-disciplinary endeavours with professional researchers. 

The most substantial piece of work I was involved with during my time with the JGI was a collaboration with the Political Science department aiming to interrogate hierarchy structures within organisations. That is, it looked to quantify how an individual’s network within an institution impacted their progression potential. The prototype for this focused on academic circles, and quantified the connections between individuals based on their network and reach. Connections between two individuals were based on a “hierarchical structure”. Whereby, the edges between two nodes (individuals) are weighted proportionally based on either presenting at or chairing a conference panel, thus identifying connection strength between individuals to expose the formation of patterns and recognise “gate-keepers”.  

Would you recommend this experience to other students? 

I would recommend joining the JGI team for anyone interested in the wide reach of data science. On top of this, you’ll meet cool people, coordinate various initiatives, contribute towards live events, and develop skills you’ll be thankful for in the future!

Ask JGI Student Experience Profiles: Richard Pyle 

Richard Pyle, 3rd year PhD student, in the Department of Mechanical Engineering at the University of Bristol

JGI Student Experience Profiles: Richard Pyle (Ask-JGI Data Science Support 2021-22)

My time with Ask-JGI over the past year has given me so much more than I could have expected. From advising on data visualisation for Russian Hip Hop, to deep learning for rainfall prediction, events organisation, and even possible collaboration on a funded research project. I applied to Ask-JGI with the primary goal of getting exposure to data science in fields outside my own, and a feel for how I could translate my skills into advice in those fields. I have most definitely succeeded in those goals, but I have also gained so much more. 

One of the things I did not expect was how valuable the ‘cohort’ experience of Ask-JGI would be. Not only does working collaboratively with other Ask-JGI students improve the quality of advice we give, and remove the need for an individual to know everything, it naturally builds both a professional and social network. These relationships were also built by organising events together, which was another experience I did not anticipate being part of Ask-JGI, but am glad it was. Events organisation and facilitation is not something commonly in a postgrad’s remit, and it was a refreshing change of pace. Being part of the Bristol Data & AI Showcase was especially enjoyable. Meeting and greeting people as they arrived at an event which I helped to contribute to was a lovely experience. 

The staff at the JGI have also been fantastic. The level of support and understanding has been incredible. When I’ve been busy with research commitments, every effort has been made to ensure time management is possible. Then, in times where I’ve had more time to commit to JGI tasks I’ve felt there was always something exciting to contribute to and I was trusted with a good level of responsibility in executing it. Overall, I would recommend being part of Ask-JGI to any postgrad looking to broaden their horizons to new fields and experiences. 

The JGI went BIG on data this June! 

The JGI went BIG on data this June! 

This June, the Jean Golding Institute provided an opportunity to explore data – its benefits and challenges – with two prodigious public events: the Bristol Data & AI Showcase and Bristol Data Week. These events helped to spark conversations about how data from the past can shape our future and create a fairer society, and how it can be used for good. University of Bristol researchers shared their discoveries and discussed topical issues with the Bristol community and beyond. We were delighted to see so many people taking part in both events; here we’ve crunched the data to share some key highlights. 

Showcasing research…

The Bristol Data & AI Showcase was a massive success, and we would like to thank everyone who took part, supported the event, and attended. Taking place on 7 June in Bristol’s social history museum, M Shed, on the historic Harbourside,  it offered a packed programme of talks, workshops, discussions, and interactive exhibitions. The event was open to all and completely free of charge – an opportunity for everyone to learn something new about data and the different ways it affects all of us. There were discussions about how communities use data to tackle key issues close to people’s hearts, like climate change, health, and equality.  

Over the course of the day 500 people attended, from University of Bristol staff and students, to partner organisations, and members of the public. Keynote speaker Hannah Fry delivered a fascinating talk on the Joy of Data to a packed audience; and our second keynote, Neil Lawrence, was not to be missed either – he opened up discussions around the use of artificial intelligence with his talk on Understanding AI.

The keynote speakers were joined by David Silverstone, Director of Data Science for LV=GI, and Awais Rashid, Professor of Cyber Security and Director of the Centre for Doctoral Training in Cyber Security at the University of Bristol, for a thought-provoking panel discussion and a chance for the audience to ask questions.

Beyond the stimulating sessions, there was an exciting exhibition space with interactive exhibits, giving people the chance to try out the latest computer software programmes and virtual reality experiences with the experts who created them.  

Out of 105 feedback responses, the showcase was rated 8.5 out of 10, with 80% of attendees rating Hannah Fry’s talk very enjoyable, and 69 people (58%) saying they were likely/or will possibly engage with the JGI/exhibitors as a result of the Showcase. 

Here’s what people had to say about the event:

“Amazing organisation, great attendance, I enjoyed it a lot!”

“The showcase was fantastic, well organised and welcoming. The showcases are always great and I’m so pleased that this was held in person”

“The event was very organised, really interesting and the speakers where engaging and witty. I had a wonderful time and can’t wait to see more events like this in the future”

“Well organised and energetic event. I’m so glad I attended.”

“It was excellent. Lots of friendly helpful people and interesting activities and speakers”

Just glowingly good quality. Great, convenient venue, nicely buzzy and busy, friendly staff, excellent presentation, nice croissant. Thank you! “

On the programme… 

“Great topics, very relevant to problems facing today’s society.” 

“The talks were really interesting. As someone who’s very limited in my knowledge of data and AI, I was afraid I would have felt a bit lost. But instead, I felt inspired.”  

“The combination of excellent talks, exhibits and discussion worked really well.” 

“The exhibitors were doing some fascinating work, really friendly and engaging group of people.” 

On a diverse audience… 

“I think it’s an achievement to have such diversity [of audience and participants] in this type of event.”  

“I enjoyed meeting such a wide range of people from different backgrounds.” 

“It was great to get together with like-minded people and talk data, something I have really missed over the pandemic.” 

On sharing thinking… 

“It opened my research up to a whole new audience.” 

“I found it inspiring and has helped me to try and think differently about my research.” 

“I like the multidisciplinary nature of the event. It was super nice to see what data scientist in other fields are working on, as well as discovering the topic of common interest across fields.” 

“Lots of interesting perspectives and insights that I have been able to bring back to my company.” 

“It has fuelled my interest in AI and how to use it creatively in my own work.” 

On learning about the University… 

“I enjoyed getting to know about all the AI related research happening at the University of Bristol.” 

“I liked hearing what people had to say about their work – I now feel more connected to the University of Bristol.” 

You can catch up on recordings of the sessions from the Bristol Data & AI Showcase on our YouTube playlist.

________________________________________________________________________________________________________

Bristol Data Week 2022 

5 days, 989 attendees, 44 events, 20 collaborators

Following on from our Showcase event, we delivered a week-long series of talks, training sessions, and workshops for those wanting a deeper dive on data and AI. 

Bristol Data Week 2022 took place from the 13th to the 17th June, and explored how we can make data work for everyone. We delivered an extensive programme of speakers, in-person and online, open to all and completely free of charge.  

There was a total of 44 sessions throughout the week, from training on how to use Python and R, ethics workshops, a Tableau masterclass, data in healthcare seminars, interactive gaming demos, a celebration of data in digital arts and humanities. And the week culminated with a special film screening announcing the winners of the JGI Data Science and AI Film Prize.

On average, sessions rated 4.73 out of 5 

Here’s what people had to say about the sessions:

Text and Sentiment Analysis in R 

“Christopher and James were amazing team as teacher and support in the chat. It was the best learning experience I’ve had and recommend to anyone.”

Introduction to Data Analysis in Python

“This was a great course. The instructor Matt Williams explained all the steps very well and he is an excellent teacher. Also the break-out rooms were very helpful. Thanks a lot to all the people from JGI!”

Introduction to Deep Learning 

“Great session, very easy to follow along and quite informative – thanks for holding it!” 

ACRC Introduction to Data Analysis in Python 

“The session was great and very useful, I really enjoyed it! The presenter and the supporting person in the chat were really knowledgable, I’ve learnt a lot!”

“A fantastic session on Applied Data Analysis in Python, containing so much very useful information on Machine Learning, and very good explanations both from the instructor Matt Williams and from Christopher Woods in the chat! Thanks a lot. The instructor Matt Williams is an excellent teacher, it was great to follow the programming steps in parallel to the explanations during the course. Thanks a lot also to all the other team members who were helping with useful explanations in the chat.”

Introduction to Deep Learning 

“Great sessions. Really enjoyed the interactive nature of the course. Learned a lot that I will be applying in my work.”

Deep learning workshop

“Excellent, well run, informative, clear, great speaker, pragmatic as well as just enough theory. Really liked the narrative in the chat too, very helpful. Thanks very much for sharing your knowledge.”

ACRC Beginning R

“This was a fantastic course. Christopher Woods is an excellent teacher, explains everything very very well, and it was a pleasure to follow the different programming steps and listening to the explanations! Moreover, the help in the chat was really good. Thanks a lot to all of the team of JGI. Will highly recommend the course.”

“Great event, please do that every year”

You can catch up on recordings of the sessions on our Bristol Data Week YouTube playlist. 

The Secrets of Brain Health at the Bristol Data & AI Showcase

Join us at the Bristol Data & AI Showcase on Tuesday 7 June 2022, to get to know your brain, with an immersive virtual reality experience using real MRI data. Learn about brain development and keeping your brain healthy.

Hear from creator James Pollock, Immersive Media Designer, BDH Immersive, in a short video about the project.

James notes that the project “showcases the latest research into brain health”, using VR. He goes on to note that VR is beneficial as it “allows you to see things that are beneath the skin”, “on scales that are very small”, but in a way that “is immersive”.

James goes on to talk about the VR experience, noting that attendees will be able to see “three different stories about brain development”, which range from “how your brain develops from when you are a newborn” to “how learning a musical instrument can fundamentally change the way your brain works”.