Successful Seedcorn Awardees 2024-2025

The Jean Golding Institute Seedcorn Funding is a fantastic opportunity to develop multi and interdisciplinary ideas while promoting collaboration in data science and AI.  We are delighted that a new cohort of multidisciplinary researchers has been supported through this funding.

Leighan Renaud – Building a Folk Map of St Lucia

Leighan Renaud

Dr. Leighan Renaud is a lecturer in Caribbean Literatures and Cultures in the Department of English. Her research interests include twenty-first century Caribbean fiction, mothering and motherhood in the Caribbean, folk and oral traditions in the Anglophone Caribbean, and creative practices of neo-archiving. 

Louise AC Millard – Using digital health data for tracking menstrual cycles

Dr. Louise Millard is a Senior Lecturer in Health Data Science in the MRC Integrative Epidemiology Unit (IEU) at the University of Bristol. Following an undergraduate Computer Science degree and MSc in Machine Learning and Data Mining, they completed an interdisciplinary PhD at the interface of Computer Science and Epidemiology. Their research interests lie in the development and application of computational methods for population health research, including using digital health and phenotypic data, and statistical and machine learning approaches. 

Photo of Louise AC MIllard on the right

Laura Fryer – Visualisation tool for Enhancing Public Engagement Using Supermarket Loyalty Card Data

Photo of Laura Fryer on the left

Laura is a senior research associate in the Digital Footprints Lab based within the Bristol Medical School. Their aim is to use novel data to unlock insights into behavioural science for the purposes of public good. Laura is particularly passionate about broadening the public’s understanding of digital footprint data (e.g. from loyalty cards, bank transactions or wearable technology such as a smart watch) and demonstrating how vital it can be in developing our understanding of population health within the UK and beyond.  Laura’s project is focused on developing a data-visualisation tool that will support public engagement activities and provide a tangible representation of the types of data that we use – building further trust between the public and scientific researchers.  

Nicola A Wiseman – Cellular to Global Assessment of Phytoplankton Stoichiometry (C-GAPS)

Dr. Nicola Wiseman is a Research Associate in the School of Geographical Sciences. They received their PhD in Earth System Science from the University of California, Irvine, where they specialized in using ocean biogeochemical models to investigate the impacts of phytoplankton nutrient uptake flexibility on ocean carbon uptake. They also are interested in using statistical methods and machine learning to better understand the interactions between marine nutrient and carbon cycles, and the role of these interactions in regulating global climate. 

Photo of Nicola A Wiseman on the right

George Sains – Collecting & Analysing Multilingual EEG Data

Photo of George Sains on the left

George Sains is a Doctoral Teaching Associate in the Neural Computation research group at the School of Computer Science. Their research is focused on the overlap between Computer Science, Neuroscience, and Linguistics. George has worked on developing models to help understand how linguistic traits have evolved. More recently, they have been using Bayesian modelling to find patterns between grammar and neurological response and are now focused on using Electroencephalography experimentation to explore the relationship between linguistic upbringing and how the brain processes language. 

Alex Tasker – Building a Strategic Critical Rapid Integrated Biothreat Evaluation (SCRIBE) data tool for research, policy, and practice

Dr. Tasker is a Senior Lecturer at the University of Bristol, a Research Associate at the KCL Conflict Health Research Group and Oxford Climate Change & (In)Security (CCI) project, and a recent ESRC Policy Fellow in National Security and International Relations. Dr. Tasker is an interdisciplinary researcher working across social and natural sciences to understand human-animal-environmental health in situations of conflict, criminality, and displacement using One Health approaches. Alongside this core focus, Dr. Tasker’s work also explores emerging areas of relevance to biosecurity and biothreat including engineering biology, antimicrobial resistance, subterranean spaces, and the use of new forms of evidence and expertise in a rapidly changing world for climate, security, and defense.

Photo of Alex Tasker on the right

Ask JGI Student Experience Profiles: Rachael Laidlaw

Rachael Laidlaw (Ask-JGI Data Science Support 2023-24) 

I first came into contact with the Jean Golding Institute last year at The Alan Turing Institute’s annual AI UK conference in London, and then again in the early stages of the DataFace project in collaboration with Cheltenham Science Festival. This meant that before I officially joined the team back in October, I already knew what a lovely group of people I’d be getting involved with! Having nice colleagues, however, was not my only motivation for applying to be an Ask-JGI student. On top of that, I’d decided that whilst starting out in my ecological computer-vision PhD niche, I didn’t want to forget all of the statistical skills that I’d developed back in my MSc degree. Plus, it sounded really fun to keep myself on my toes by exercising my mind tackling a variety of data-oriented requests from across the university’s many departments. 

Rachael Laidlaw in centre with two JGI staff members to the left and one JGI staff member to the right pointing towards a Data pin board at the JGI stall
Rachael Laidlaw (centre), second-year PhD student in Interactive Artificial Intelligence, and other JGI staff members at the JGI stall

During the course of my academic life, I’ve taken the plunge of changing disciplines twice, moving from pure mathematics to applied statistics and then again to computer science, and I liked the idea of supporting others to potentially do the same thing as they looked to enhance their work by delving into data. Through Ask-JGI, I kept my weeks interesting by having something other than my own research to sometimes switch my focus to, and it felt very fulfilling to be able to offer useful technical advice to those who were in the same position that I myself had been in not so long ago too! I therefore got stuck in with anything and everything, from training CNNs for rainfall forecasting or performing statistical tests to compare the antibiotic resistance of different bacteria, to modelling the outcomes of university spinouts or advising on the ethical considerations and potential bias present when designing and deploying a questionnaire-based study. And, of course, by exposing myself to these problems (alongside additional outreach initiatives and showcase events), I also learned a lot along the way, both from my own exploration and from the rest of the team’s insights. 

One especially exciting query revolved around automating the process of identifying from images which particular underground printing presses had been used to produce various historical political pamphlets, based on imperfections in the script. This piqued my interest immediately as it drew parallels with my PhD project, highlighting the copious amount of uses of computer vision and how it can save us time by speeding up traditionally manual processes: from the monitoring of animal biodiversity to carrying out detective work on old written records. 

All in all, this year has broadened my horizons by giving me great consultancy-style work experience through the opportunity to share my expertise and help a wide range of researchers. I would absolutely encourage other curious PhD students to apply and see what they can both give to and gain from the role! 

Ask JGI Student Experience Profiles: Emilio Romero

Emilio Romero (Ask-JGI Data Science Support 2023-24)

Emilio Romero
Emilio Romero, 2nd year PhD Student in Translational Health Sciences

Over the past year, my experience helping with the Ask-JGI service has been really rewarding. I was keen to apply as I wanted to get more exposure to the research world in Bristol, meet different researchers and explore with them different ways of working and approaching data.  

From a technical perspective, I had the opportunity to work on projects related to psychometric data, biological matrices, proteins, chemometrics and mapping. I also worked mainly with R and in some cases SPSS, which offered different alternatives for data analysis and presentation. 

One of the most challenging projects was working with chemometric concentrations of different residues of chemical compounds extracted from vessels used in human settlements in the past. This challenge allowed me to talk to specialists in the field and to work in a multidisciplinary way in developing data matrices, extracting coordinates and creating maps in R. The most rewarding part was being able to use a colour scale to represent the variation in concentration of specific compounds across settlements. This was undoubtedly a great experience and a technique that I had never had the opportunity to practice. 

ASK-JGI also promoted many events, especially Bristol Data Week, which allowed many interested people to attend courses at different levels specialising in the use of data analysis software such as Python and R. 

The Ask-JGI team have made this year an enjoyable experience. As a cohort, we have come together to provide interdisciplinary advice to support various projects. I would highly recommend anyone with an interest in data science and statistics to apply. It is an incredible opportunity for development and networking and allows you to immerse yourself in the wider Bristol community, as well as learning new techniques that you can use during your time at the University of Bristol. 

Are you a researcher looking for data scientist support?

Researchers across the University benefit from our JGI Seedcorn Funding. Funding is great when you have someone to do the work – but what if you don’t have the right data science expertise in house? For that, this summer we are trialling a new JGI Data Scientist Support service. This provides an alternative support mechanism for researchers who need expertise and time, but not funding. 

The Jean Golding Institute’s team of data scientists and research software engineers are here to support researchers across the University of Bristol fostering a collaborative research environment spanning multiple disciplines. Over the past seven years, our team has expanded thanks to various funding sources, reflecting the increasing importance of data science support in facilitating research outcomes and impact. 

Get in touch with our team to find out how they can help you with: 

  • Data analysis – recommendations or support with tools and methods for statistics, modelling, machine learning, natural language processing, computer vision, geospatial datasets and reproducible data analysis. 
  • Software development – technical support, coding (for example: Python, R, MATLAB, SQL, bash scripts), code review and best practices. 
  • Data communication – data visualisation, dashboards and websites. 
  • Research planning – experimental design, data management plans, data governance, data hazards and ethics. 

Our aim is to support researchers and groups that may not have in-house expertise but have project ideas that can be developed into applications for funding. We’re seeking projects that can take place over the summer until early autumn (July – October 2024). 

How to apply 

Please complete an online expression of interest form  

Deadline: 15 July 2024 

Selection process 

The JGI team will get back to you within one week, to discuss your request.  

If demand exceeds our current resource levels, we’ll meet with applicants to help prioritise projects. As with seedcorn funding, priority will go to applications that match JGI strategic goals and have clear pathways to benefit, such as an identified funding call or impact case. 

Examples of data science projects 

  • Social mobility analysis project – using local and national level data to investigate how different people in Bristol and other UK cities feel about life in their local environment. The JGI data scientist worked as part of a multidisciplinary team including University of Bristol researchers and external stakeholders, for around 2 days per week for 3 months. They analysed survey and geospatial data using Python, presented findings to the group. The output of the project was a grant application in which a data scientist was costed longer-term. 
  • Antimicrobial resistance project – examining patterns in observed levels of antimicrobial resistance during the COVID pandemic. The JGI data scientist worked with a University of Bristol researcher and collaborated with a public sector stakeholder, for around 4 days per week for 4 months. They performed statistical modelling using R, producing data visualisations of the trends found. The project has led to an Impact Acceleration Funding application to develop a tool used to support local health planning. 
  • Transport research-ready dataset grant – linking administrative datasets to support research into car and van use in the UK. The JGI data scientist developed data pipelines and provided methodological and data governance input into a successful ESRC funding application in a collaboration between researchers at the universities of Bristol and Leeds. The data scientist was a named researcher on the application and went on to perform data analysis as part of the project team.