The Data Science Foundation will launch a cancer research discussion group within the next couple of months. The idea is to bring together people with relevant expertise and or access to resources and to initiate a discussion on how the group might contribute to work being done in this field.

Four highly qualified people have agreed to join the Special Interest Group within hours of this article being published. Our target is to launch the group with at least 12 members. Thank you for the support, a progress update and an agenda for the group will be published at the beginning of February.

Ultimately, the widespread adoption of automation and robotics, as well as the rise of artificial intelligence will have profound impacts on the world, particularly in terms of human employment and even the global economy, such as the questions asked by Martin Ford, in his book, Rise of the Robots. Martin Ford suggests the outlook is bleak for millions of workers who define their self-worth in terms of their employment. Increasingly workers will no longer be exploited by those in control of capital and intelligent machines, they will be irrelevant to them.

Here is an interesting article in Wired on 'Rise of the Robots' by Martin Ford: https://www.wired.com/brandlab/2015/04/rise-machines-future-lots-robots-jobs-humans/ The book is extremely well written and worth purchasing: https://www.amazon.co.uk/Rise-Robots-Technology-Threat-Unemployment/dp/1780747497

Francesco Corea is recognised as the Data Science Foundation, Data Science Writer of the Year 2018

Congratulations Francesco

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Data Forecast 5 2019We are asking our members to predict the most likely developments in data use and data technology in 2019.We will identify five key trends in the answers submitted and publish them on the Data Science Foundation website. You could think along the following lines.· Which fringe technologies will become mainstream?· How will organisations change the way they manage and use their data?· What will be the driving influences on data analytics?· Are we likely to see huge advances created by the convergence of technologies? · Should the public at large be concerned about potential technical advances or data usage in 2019?

Hey I would love to start a discussion on the application of graph theory and graph databases in the context of business data. I have identified several applications but it would be interesting to hear your thoughts on these and other applications you can think of!Applications that I have identified are:Airport connectionsDelivery logistics - like the one eBay implementedCo-purchasing networksWebsite navigationBank transfers

Update: I had a lot of great answers when I posted this question on Twitter @ToriTompkins.Graph Theory has some good applications when resolving dependencies between source files. This involves determining what processes can be run after a source file has loaded by querying for all associated nodes. Collaborative working. For example some issues on GitHub are tagged by multiple users. Social network analysis can be used to identify shortest paths, influencers, cliques etc.Many processes in business intelligence have complicated and moving parts for example percurement, contracts or fraud. Graph theory can be utilised to uncover hidden connections.Any more suggestions are welcome!

We are making good progress towards launching a Data Science Foundation consultancy service and are pleased to show the branding associated with this venture.

Contact chris@datascience.foundation if you have a project you would like to discuss.Please pass this information on to colleagues and acquaintances who may be interested. Your support here is appreciated and will help the continued development of the Data Science Foundation.

The hype about AI makes really difficult for experienced investors to understand where the real value and innovation are. I would like then to humbly try to bring some clarity to what is happening on the investment side of the artificial intelligence industry.

If you want to have an overview on the investors and accelerators who specifically invest only in AI, here there is a good resource for that:https://medium.com/@Francesco_AI/unsupervised-investments-ii-a-guide-to-ai-accelerators-and-incubators-4dc762d57c4b

The Data Science Foundation is in the process of establishing a cryptocurrency group to share research and discuss the latest developments. If you are interested in joining comment here or email chris@datascience.foundation

Yes, I want to be a part of this discussion

The Data Science Foundation is in the process of establishing a blockchain group to share research and discuss the latest developments. If you are interested in joining comment here or email chris@datascience.foundation