Data Champions Search

I am an archaeologist focused in Culture Evolution, Computational Archaeology and mathematical and spatial analysis applied to Archaeology and Prehistory. I also advocate for collaborative science, open research and scientific reproducibility, as one of the best ways to improve scientific outcomes

Amy is a Research Project Manager and Information Scientist at the Gurdon Institute. She has experience working for an Open Access publisher and completed her PhD at the University of Exeter in 2019.

Dequn (Peter) Teng is a Ph.D. candidate supervised by Dr. Veronica Martinez in the Business Model Innovation Group at the Institute of Manufacturing. His current research area is on blockchain and machine learning integrated methods for supply chain management.
   
Dequn graduated from University of Liverpool (2+2 route) with a first class honours degree in Computer Science and Electronic Engineering. His past research experiences relate to blockchain and digital innovation, with peer reviewed conference paper publications on IEEE Xplore and EI. Additionally, He has ten invention patent applications under substantive review process, ranging from Blockchain and Mechanical Design Innovation. For industrial exposure, he has taken research internships at Deutsche Bank (Shanghai) for digital transformation research, and Unilever (UK) for PowerBI visualization. Moreover, he loves mathematical modelling and was awarded Meritorious Winner at the Mathematical Contest in Modeling.

I'm a PhD student and Gates Cambridge Scholar studying psychology at St John's College. Broadly, I examine the psychometric properties of Internet big data; my current research explores how social media data predict personality traits and dimensions of mental illness. In general, I'm interested in social data science, the overlap of clinical disorders with everyday personality traits, and personality differences across cultures.