PHASTAR PRO BONO

Biometric services for charity

PHASTAR bro bono is a scheme that allows charities to access PHASTAR’s specialist biometrics services at no cost. Our volunteer statisticians, data scientists, data managers, and programmers help third sector organisations fulfil their charitable aims by providing support that they may otherwise be unable to afford. 

PHASTAR’s team of experts are on hand to help advise you on data collection, analysis, and dissemination. They are thought leaders who have a proven track record of delivering the highest level of expertise, using the appropriate tools to gain important insight. Our volunteers are excellent communicators, adept at understanding the needs of the client, and can help you extract the most value from your data. PHASTAR can offer you a tailor-made service helping you understand your data and evidence to aid your decision making. 


Selection criteria

To be eligible for support through the pro bono initiative, candidate organisations must be recognised as third sector and typically have an annual turnover of up to around £2.5 million.

If you would like to have the PHASTAR team help you with your project, please complete this enquiry form or e-mail This email address is being protected from spambots. You need JavaScript enabled to view it..


PHASTAR pro bono launch

PHASTAR were delighted to launch the pro bono scheme on the 19th of May at the Florence Nightingale Museum. Special guest Professor Deborah Ashby, Director of the School of Public Health, Imperial College and Royal Statistical Society Immediate Past President, gave the presentation titled:

Florence Nightingale’s legacy: using data to improve health from the time of the Crimea to the time of the coronavirus

Absract: Florence Nightingale, best known as the Lady with the Lamp, was astute at persuading people to raise money for causes she care about. She is also recognised as a pioneering and passionate statistician. She had argued successfully with her parents to be allowed to study mathematics, and later nursing, and then combined these skills with her political awareness to use data imaginatively and powerfully to improve health. Two centuries after her birth, the need for statistical and data skills to improve health show no signs of abating. What lessons can we draw from Florence Nightingale?
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