Registration is now open for this year’s Advances in Data Science 2017 conference. The event is a two-day meeting to present recent developments in data science, with a focus on advanced analytics (machine learning, Bayesian statistics, scalable algorithms), privacy, visualisation, software and diverse applications. Speakers include leading data scientists from industry and academia.
The University of Manchester Data Science Institute has announced a call for abstracts for their ‘Advances in Data Science’ Conference to be held on the 15th – 16th May.
The conference is a two-day meeting to present recent developments in data science, with a focus on advanced analytics (machine learning, Bayesian statistics, scalable algorithms), privacy, visualisation, software and diverse applications. Speakers include leading data scientists from industry and academia.
An Avizo Introduction course will be running at the University of Manchester on Thursday, 13th October. The course is organised by CCPi who have 20 places available.
The deadline for participation in the evaluation of visualization tools has been extended until the 18th of September 2016. Participants currently have an excellent chance of winning an Amazon voucher worth £250, £150 or £100!
Full details of the simple process to evaluate the software on offer and how to submit your feedback can be found on our visualization blog post.
The Software Sustainability Institute (SSI) will be running the Research Data Visualisation Workshop on July 28th, 2016 at the University of Manchester. If you create data visualisations and plan to visualise new data sets or would like to know about data visualisation toolings and uses then this is the workshop for you.
And be in with a chance of winning £250, £150 or £100 of Amazon Vouchers!
The demand for visualization of datasets through the creation of meaningful and attractive representations of data, and to provide insight and greater understanding of data is rapidly growing. There are many existing applications, ranging from Excel to more sophisticated and complex software like Matlab, Python, R, Mathematica, and STATA.
From feedback, we have identified a need for an application that falls in between these two extremes and we would like your help in evaluating potential applications. This evaluation will help select an application for wider adoption across the University, along with training, support and central licensing.
We have selected Tableau, Qlik, Spotfire and IBM Watson Analytics for a more detailed evaluation by the community.
Earlier this year Research IT requested feedback on a proposal to implement a ‘core research application suite’ that would focus support, training and licence resources on a selected suite of applications chosen to offer maximum value to University researchers.
Many thanks to all of you who took the time to contribute to this review, your input was very valuable. Based upon the feedback received it is clear that there is demand for the implementation of a general data visualisation tool (e.g. Spotfire, Tableau) and we are now proceeding with an evaluation of a set of candidate tools with the objective of selecting and deploying such a tool later this year.