Data Champions Search

Shujing (Jing) is a PhD student at the Institute of Criminology. Her primary research interests encompass organised crime, drug market, crime data, and social network analysis. Additionally, she has a diverse range of interests that extend to evidence-based policing, decision-making process, and experimental criminology.

Aisha is a researcher at the Leverhulme Centre for the Future of Intelligence; she has experience in qualitative methods, including online surveys, interviews and content/visual analysis of images. She now runs the ethical review process at the Institute for Technology and Humanity, meaning she considers data privacy and sensitivity in multiple ways, including using social media data, the data management of algorithmic training data and data management. Her own work considers generative AI images and the ethics of their data.

After completing my undergraduate degree in psychology, I spent several years working within the NHS and the charity sector, before moving into clinical research (Department of Oncology) in 2011. During this tenure I worked as a research assistant and latterly senior data manager, working across a variety of research and clinical systems (including OpenClinica, Achiever Medical and EDGE), gaining valuable experience in data approaches to research and governance. During this time I also completed a MSc in Psychological Research Methods. My knowledge and understanding of NHS systems was furthered during a secondment to the eHospital team, which facilitated the transition of Cambridge University NHS Foundation Trust to a fully electronic medical health record system (EPIC), the first of its kind in the UK.
   
   I joined the Department of Clinical Neurosciences in 2020, bringing a wealth of experience in the collection and management of clinical data from my time in Oncology. I currently work with the clinical and laboratory teams and external stakeholders to design, create and deliver streamlined methods for the prospective collection of high quality clinical and sample data.