summer school on big data information visulisation
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A welcome to the Summer School on Big Data Information Visulisation by Aaron Quigley and Adam BarkerTRANSCRIPT
Summer School on Big Data Information Visulisation
July 8th - 12th, 2013 #BigDataInfoVis
Organisers Aaron Quigley – SACHI, School of CS, University of St [email protected] or @aquigley Adam Barker - Big Data Lab, School of CS, University of St [email protected] or @lordbarker
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SICSA
• Scotland has: 9% of UK population, 16% of 4* research outputs, 20% of research council grants
• SICSA capitalises on that - http://www.sicsa.ac.uk/
• a collaboration of all 14 schools of computer science and informatics in Scotland, 750 academics and 790 PhD students
• St Andrews is a founding member and one of the 3 SICSA host institutions
• SICSA supported activities:
• education, scholarships, summer schools, research themes, research, interaction with industry, outreach, funding, funding to early stage and early career researchers.
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Summer School Locations
• Lectures here JC 1.33a/b
For those in DRA, dinner there Tue/Wed/Fri
Team Projects in your lab in John Honey building
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Thanks ....
• ..... to SICSA for providing funding
• ..... to all of our speakers for coming from near and far to present this week
• ..... to Amazon for $4,000 of credits, to brightSolid and SkyScanner for access to their datasets
• ..... to all the members of SACHI, the St Andrews Computer Human Interaction research group - both staff and students for their support and effort
• ..... to all the members of the Data Lab, the St Andrews Computer Human Interaction research group - both staff and students for their support and effort
• ..... to all of our local administrators and technical support staff who helped in preparing for this summer school and who will help during this week
• ..... to all the instructors of this summer school from across SICSA
• ..... to you, our participants for applying and joining us at this summer school!
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Overview of the Summer School
• This summer school blends theory with practice
• Theory: lectures and exercises
• Practice: sketching, group project work, fast foot sessions
• Time for practice increases as the week progresses.
Theory
Practice
Mon Tue Wed Thur Fri
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Schedule - today (i)
• 10 - 10.30 Overview, Introductions, Welcome
• 10.30 – 11.30 Professor Peter Triantafillou (University of Glasgow),
Big Data: Why, What, and How?
• 11.30 – 12 Coffee Break
• 12 – 1 Professor John Stasko (Georgia Tech, USA), The Value of Visualization for Exploring and Understanding Data
• 1 – 2, Lunch (provided on day 1)
• 2 – 3, Sean Owen (Myrrix and co-author of Mahout in Action) Mahout, distributed and scalable machine learning algorithms on the Hadoop platform
• 3 - 4, Professor Sheelagh Carpendale (University of Calgary, Canada), Information Visualization: Exploring New Options
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Schedule - today (ii)
• 4 - 4.50 Lectures by Domain Experts providing Data Overviews in Parallel Sessions
• a) Dr Uta Hinrichs (St Andrews) Historical Data Records
• b) Dr. Urska Demsar (Centre for GeoInformatics St Andrews) Migration and Commuting Flows
• c) Dr. Alex Voss (St Andrews) Social Media
• d) Toby Reid, brightSolid, Dundee, UK - Historical newspaper dataset
• 4.50 – 5, Professor Sheelagh Carpendale (University of Calgary, Canada), Overview of InfoVis sketching session on Tuesday
• 5.00 – 5.30, Fast foot session (students overview their projects)
• 6.45 – 7.45, Rónan McAteer (Watson Solutions Development IBM Ireland) Cognitiv e Com puting : Watson ’s path from Jeopardy to real-world Big (and dirty) Data
• 8pm Welcome Dinner Reception in Zizzi’s on South Street for all registered students and guest lecturers.
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Schedule - Tuesday 9th (tomorrow)
• 9 – 10, Dr Adam Barker (University of St Andrews) Cloud Computing and Big Data
• 10.00 – 11.00 Dr Stratis Viglas (University of Edinburgh) Big Data Programming Models
• 11.00 – 2.30 Hands on Exercises with Big Data
• 1.30 – 2.30 Lunch (provided)
• 2.30 – 3.50 Professor Sheelagh Carpendale (University of Calgary) Information Visualisation Sketching Session
• 3.50 – 4.50 Professor Aaron Quigley, Information Visualisation Toolkits
• 4.50 – 5.30, Fast foot session (students overview their projects)
• 18.00 – 19.30, Dinner at David Russell
• 19.30 – evening, Group Project Work.
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Schedule - Wednesday 10th
• 9 – 10, Iadh Ounis and Craig Macdonald (University of Glasgow) Information Retrieval and Real-time Analysis with Storm
• 10 – 11, Drs Miguel Nacenta and Uta Hinrichs (University of St Andrews), Information Visualisation and Interaction
• 11 – 13.30, Morning Working Session (tea/coffee in the lab)
• 13.30 – 15.00, Lunch and (possible) research poster session (delivered by students)
• 15.00 – 17.00, Afternoon Working Session (tea/coffee in the lab)
• 17.00 – 17.30, Fast Foot Session
• 18.00 – 19.30, Dinner at David Russell
• 19.30 – evening, Group Project Work
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Schedule - Thursday 11th
• 9 – 10, Professor Aaron Quigley, Network Visualisation and Next Generation Information Visualisation
• 10 – 11, Dr Per Ola Kristensson, Big Data and Crowdsourcing
• 11 – 13.30, Morning Working Session (tea/coffee in the lab)
• 13.30 – 14.30, Lunch (not provided)
• 14.30 – 15.00, Fast Foot Session
• 15.00 – 19.00, Afternoon Working Session (tea/coffee in the lab)
• 19.30 – 22.00, Farewell dinner in Swilcan Restaurant at the Links Club house
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Schedule - Friday 12th
• 9 – 13.30, Morning Working Session (tea/coffee in the lab)
• 13.30 – 14.30, Lunch Provided
• 14.30 – 16.30, Final Project Presentations
• 16.30 – 17.00, Prize Presentations
• 18.00 – 19.30, Dinner at David Russell (for those staying)
• 20.00, Informal drinks in St Andrews
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Introduction of Instructors• Adam Barker, School of Computer Science, University of St Andrews
• Sheelagh Carpendale, University of Calgary, Canada
• Urska Demsar, Centre for GeoInformatics, University of St Andrews
• Uta Hinrichs, School of Computer Science, University of St Andrews
• Craig Macdonald, Department of Computing Science, University of Glasgow
• Rónan McAteer, Watson Solutions Development IBM Software Group Ireland
• Miguel Nacenta, School of Computer Science, University of St Andrews
• Iadh Ounis, Department of Computing Science, University of Glasgow
• Sean Owen, Myrrix and co-author of Mahout in Action, UK
• Aaron Quigley, School of Computer Science, University of St Andrews
• Toby Reid, brightSolid, Dundee, UK
• John Stasko, Georgia Tech, USA
• Peter Triantafillou, University of Glasgow
• Stratis Viglas, University of Edinburgh
• Alex Voss, School of Computer Science, University of St Andrews.
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Your Introductions
•Everyone
•Who are you?
•What are you studying (and where)?
•What is your interest in Big Data Information Visualisation?
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Supporters
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Locally in the short term
15 data science research positions http://bit.ly/1ddSrcG Interface
Developer/R+Dhttp://bit.ly/13yzB1x Data Specialist/R+D
http://bit.ly/14ZV679 Research + Development Engineer
http://bit.ly/14FSgVZ Software Engineer/R+D
Proposed data science innovation centre (Industry & SICSA
Scotland)
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Your Teams - please find each other!• Team - Ash - Historical Trading Data JC 0.29 - Uta
•Joe Wandy
•Asma Malik
•Michael Mauderer
•Sadiq Sani
•Benjamin Bach
• Team - Birch - Social Media JC 1.33 - Alex
•Ruth Agbakoba
•Anil Bandhakavi
•Aminu Muhammad
•Chris Hillman
•Nut Limsopathan
• Team - Cedar - SkyScanner JC 0.14 - John
•Vinodh Rajan
•Lauren Norrie
•Warren Kretzschmar
•Luke Shrimpton
•Ke Zhou
Team - Dogwood - BrightSolid JC 1.35 - Toby
Percy Dante
Chandan Kumar
Victoria Hore
Julia Juergens
Team - Elm - Migration Data JH 1.04 Urska
Shantanu Pal
Emma Tonkin
Katarzyna Sila-Nowicka
Alice Thudt
Soren Knudsen
Team - Fir - Enron Email JC 0.30 Ronan
Claire Jones
Daniel Rough
Gavin Hales
Lisa Koeman
Team - Ginkgo - Nasa Data JC 0.36 - Sean
Jie Yang
Muhammad Adnan
Luisa Pinto
Matti Pouke
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School 1 - in the quad - 6.45 – 7.45 tonight!
• School 1St Salvator's QuadUniversity of St AndrewsSt Andrews, FIFE KY16 9AJ (show map)
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Dinner
• Welcome dinner (all students and instructors) - 8pm
• 87-89 South St Town Centre, St Andrews
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Tuesday night (an idea for you)
• Summer Recital Series - Elgar, Schubert and Vivaldi
• This event requires that you pre-register or buy tickets. for students £1!
• Laura Sergeant - cello; Ian Watt - guitar
• Music Centre
• Open to All staff and students, Public
• Date Tuesday, 09 July 2013
• Time 8:00 PM to 9:00 PM
• http://www.st-andrews.ac.uk/music/