Our Principles

Stas4SD has as a mission to support progress towards sustainable development. Until 2030 this means working towards meeting the UN’s sustainable development goals. This mission underlies the values of the organisation and the principles we use in managing ourselves. These values and principles apply to the three domains of our operations:

  1. The work we do for our clients and with partners.
  2. The way we run the organisation.
  3. Our function as a not-for-profit social enterprise.

We have published our principles as a pdf, which you can read in full below.


Our Structure

We are a small organisation. We form project teams to carry out specific projects. These teams vary in size depending on the requirements of our clients, and may include one or more Stats4SD colleagues with different areas of expertise such as study design, data engineering, data processing, data quality assurance and delivery of information products.

As a small enterprise, we have adopted a flat structure with senior staff members forming the board directors to make non-technical decisions for the company and to provide leadership in specific areas of expertise.

A Brief History

Our work started at the Department of Applied Statistics of the University of Reading in 1983, when the Statistical Service Centre of the University of Reading was set up by a group of academics “to provide ad-hoc training, formal courses, consultancy and research services for clients outside the University”. The SSC was established as a self-financing unit, and developed two distinctive strands of work: a UK-based component and an international portfolio. In August 2016, due to changes in the financial structures of the University of Reading, the international team of the SSC negotiated an amicable departure and set up Statistics for Sustainable Development (Stats4SD).

Our Partnerships

Our new structure and legal status allows us to respond to the needs of our clients and partners with more agility and efficiency. We have established a strategic partnership with the Southampton Statistics Science Research Institute of the University of Southampton, one of the strongest groups of academic statisticians in the UK.

We have also developed partnerships with organisations with whom we share values and interests, for example the Collaborative Crop Research Programme of the McKnight Foundation and the African Maths Initiative (AMI) in Kenya; and we maintain links with colleagues at the University of Reading, including the SSC and academics with whom we have had a long history of association.