Data-X Exhibition and Symposium – Date for your diary!

You are invited to the opening reception of the Pioneering Research Data (Data-X) Exhibition in the Sculpture Court, Edinburgh College of Art, Edinburgh on Friday 25 November 2016. The opening will start at 5.00pm with a drinks reception, snacks and live performances, and end at 8.00pm.

Data-X is a University of Edinburgh IS Innovation Fund initiative supported by the Data Lab and ASCUS. It brings together PhD researchers from the arts and sciences to develop collaborative ‘installations’ which will explore data re-use and disciplinary boundaries.

‘Installations’ will take the form of digital sculptures, simulations, performances, soundscapes, interactive exhibits, 3D structures, machinery, visualisations.

The exhibition runs from 26 November – 6 December 2016 in the Sculpture Court, Edinburgh College of Art, Main Building, 74 Lauriston Pl, Edinburgh EH3 9DF

To accompany the exhibition a symposium will be held on 1 December 2016 in the Main Lecture Theatre, Edinburgh College of Art. PhD researchers will formally present their ‘installations’ alongside guest speakers including Dr Jane Haley (Edinburgh Neuroscience / FUSION) and Dr James Howie (Co-founder of ASCUS).

To register visit: https://www.eventbrite.com/e/data-x-symposium-tickets-29076676121 or contact: Stuart Macdonald, Data-X Project Manager (email: stuart.macdonald@ed.ac.uk)

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Data-X Meeting: Discuss and present progress

We are pleased to announce that the Data-X exhibition and symposium will be supported by The Data Lab. The Data Lab enables industry, public sector and world-class university researchers to innovate and develop new data science capabilities in a collaborative environment. Its core mission is to generate significant economic, social and scientific value from big data.

Each of the Data-X research groups have been working hard over the summer on their ideas and a number of data installations have now been confirmed for the Data-X Exhibition and Symposium. Members of each research group have been invited to showcase and discuss progress towards their respective installations on 19 October (2pm) in room D2, Argyle House (http://edina.ac.uk/about/contact.html).

The Data-X team will announce shortly the dates of the exhibition and symposium which will take place in Edinburgh College of Art at the end of November/start of December. As such planning has commenced on programmes and on promoting and publicising the events.

We aim to make further announcements over the coming weeks so please watch this space!

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Data Science Research Day 2016

The EPSRC Centre for Doctoral Training (CDT) in Data Science is holding their annual Data Science event in Edinburgh where you’ll be able to meet our staff, students and partner organisations.

The main purpose of the day is to meet people working within the data science community and identify new collaborative opportunities.

For further information including registration visit: https://www.eventbrite.co.uk/e/data-science-research-day-2016-registration-26999748976

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Data and Software Carpentry Workshops

The Research Data Service (RDS) would like to bring the following data-related workshops to you attention, namely:

Data Carpentry Workshop (22 & 23 August, University of Edinburgh Main Library, 30 George Square) – an example-driven two-day workshop on basic data science computing skills. Short tutorials alternate with hands-on practical exercises, and participants are encouraged both to help one another, and to try applying what they have learned to their own research problems during and between sessions. Tools to be used include OpenRefine, R, and SQL.

For further details see: http://www.epay.ed.ac.uk/browse/extra_info.asp?compid=1&modid=2&deptid=80&catid=96&prodid=2350

Software Carpentry Workshop (24 & 25 August, University of Edinburgh Main Library, 30 George Square) – an example-driven two-day workshop on basic data science computing and coding skills. Short tutorials alternate with hands-on practical exercises, and participants are encouraged both to help one another, and to try applying what they have learned to their own research problems during and between sessions. Tools to be used include Python, Git and Github.

For further details see: http://www.epay.ed.ac.uk/browse/extra_info.asp?compid=1&modid=2&deptid=80&catid=96&prodid=2351

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