Broad scope, vast potential
The Curtin Open Knowledge Initiative (COKI) is a vibrant research team of critical humanities scholars and data scientists, working together to build a critical mass of knowledge and capability on the application of open knowledge in higher education around the world.
Founded at Curtin University by project leads Professor Cameron Neylon and Associate Professor Lucy Montgomery, the COKI project has used big data and cloud computing approaches to create the world’s leading data set relating to scholarly communication, open access, diversity and inclusion, including more than 12 trillion items.
The COKI team will continue to develop the data set and a suite of open knowledge analysis and enabling tools in collaboration with researchers from around the world.
The Coki Team
Professor and co-lead
Cameron is an international leader and self-confessed agitator in Open Research including Open Access, Open Data, and Open Source as well as the wider technical and social issues of applying the opportunities the internet brings to the practice of research.
Associate Professor and co-lead
BA (Hons1) (Asian Studies), PhD (Media and Communication)
Lucy’s research focuses on the ways in which open access and open knowledge are transforming landscapes of knowledge production, sharing and use, including in China.
Her current research investigates the ways in which knowledge-creating groups, institutions and technologies are being transformed by the internet and digital technologies. In a practical application of this work, Lucy was a key member of the small team responsible for developing and successfully piloting Knowledge Unlatched: a globally coordinated, collaborative model for enabling OA for specialist scholarly publications at scale. Knowledge Unlatched is now the world’s single largest marketplace for OA scholarly books and services.
Statistical Analysis & Data Science Researcher
PhD, MSc (Statistics), MASt, BScHons (Mathematics)
Karl’s current research focuses on developing and identifying models and methods for analysing differences, patterns, and correlations in bibliometric variables and bibliographic data sources. In particular, he is interested in how innovative statistical methods and large scale data science can help map the open science landscape.
Karl is a mathematical statistician by training and also has a strong track record of publications in probability, statistics, and financial risk modelling.
Senior Data Scientist
Business Development Manager
Tim’s work has been recognised with national and international awards and he is regularly invited to consult and advise on organisational development, revenue development, marketing, communications and change management in the higher education sector.