We have had a busy year and would like to provide you with a quick overview of a few of the more important points.
We would also like to encourage you to take advantage of the free services we provide, to publish articles and papers on the website, to thank organisational members for paying membership fees and to thank everyone for their donations and support.
Our achievements over the past year include:
- We now receive visitors to our website from over 90 countries each month. The USA and India provide the most traffic, with China and Japan in the top 5. Just 15% of traffic comes from the UK
- The articles and papers published on our website have a positive impact and help to share knowledge. They are read by industry leaders and by students in developing countries
- We launched a data and analytics social network which allows members to follow other members and to create their own following. The engine also recommends people to follow based on mutual interests.
- Members can now create a personalised newsfeed based on their interests
- A director of the Data Science Foundation chaired AI & Big Data Expo conferences in London and Amsterdam earlier this year, and will chair a conference in Silicon Valley in November
- We have launched the International Data Science Awards and are accepting entries until the end of September. The winners will be announced at the AI & Big Data Expo event in Santa Clara, California on 13 November https://datascience.foundation/datascienceawards
- To support the awards, we have invested in an online management system to collect and collate entries and to allow secure access to judges from across the globe. The VP of Data Science at PayPal is one of the judges
- The Chartered Institute of Public Relations are now a sponsor and will help us to publicise the awards
- Our online publishing and peer review services have been updated and expanded
We have redefined our mission and development plans:
- To encourage socially and environmentally responsible use of data and artificial intelligence in all spheres towards better society:
- Government: To help governments use data science to identify and solve social problems in a more focused way
- Public: To increase public awareness of the resources provided by governments and to encourage better utilization
- Health: To address health problems beyond national barriers
- Money: To help banks and insurance companies reduce their risks and the risk to the public with the implementation of data science and AI platforms
- Enterprise: To encourage organisations to see beyond profit and competitive advantage and to consider their social and environmental impact
- To become a central player in global big data, data science and artificial intelligence business services, communities and communications by the year 2030.
- To influence decision and policy making in a way which is compatible with our mission
We wish you a successful year ahead and encourage you to develop your profile in the data community by submitting articles, use case and whitepapers for publication. Sharing knowledge benefits not just the data science community, but wider society as that knowledge and expertise is implemented in new and exciting projects.