Shiny in Production: Sponsors

There’s only two weeks left to go until Shiny in Production 2023! The events team are hard at work getting things ready for the day, and we wanted to take this opportunity to say a huge thank you to our event sponsors!

Gold Sponsor

National Innovation Centre for Data

The National Innovation Centre for Data (NICD) was created in 2019 with £30 million of funding from the government and Newcastle University. Based in the state-of-the-art Helix science district in Newcastle, our mission is to transfer data skills to the UK workforce. Our team of PhD-level data scientists work to ensure that organisations across the country are equipped to reap the benefits of the global data-driven revolution.

Silver Sponsors + Drinks Reception

Royal Statistical Society

Founded in 1834, the Royal Statistical Society (RSS) are one of the world’s leading organisations advocating for the importance of statistics and data. They’re a professional body for all statisticians and data analysts – wherever they may live.

They have more than 10,000 members in the UK and across the world. As a charity, they advocate for the key role of statistics and data in society, and work to ensure that policy formulation and decision making are informed by evidence for the public good.

Silver Sponsors

Newcastle University Solve

Newcastle University Solve (NU Solve) has been helping businesses, public sector organisations and industries to find answers to complex challenges for more than three decades. We emerged out of the Industrial Statistics Research Unit, which had successfully engaged with enterprises since 1984.

Posit

Posit’s mission is to create open-source software for data science, scientific research, and technical communication. They do this to enhance the production and consumption of knowledge by everyone, regardless of economic means.

R Consortium

The central mission of the R Consortium is to work with and provide support to the R Foundation and to the key organizations developing, maintaining, distributing and using R software through the identification, development and implementation of infrastructure projects.