Summer School on Big Data Information Visulisation

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/