Welcome to Mon Jan 7th - Friday Jan 11th, 2019 Department of Engineering University of Cambridge - IRDTA
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Welcome to
Mon Jan 7th – Friday Jan 11th, 2019
Department of Engineering
University of Cambridge
Welcome to University of Cambridge
The University The University
11,500+
people employed
directly by the
University
98
Cambridge
affiliates
have been
11,500+
people employed
directly by the
University
University expenditure of University income of awarded the University expenditure of
The University
The University £1,807m £1,870m Nobel Prize
since 1904 £1,807m
11,500
11,500
1,700+++
people employed
people
researchers
directly
University
Cambridge
employed
bysupported
by the
directly
University
the
Enterprise
(the University’s
by
19,200+ 87% students at the
University of
Cambridge
deemed
98
98
of submissions
Cambridge
Cambridge
world
leadingaffiliates
oraffiliates
have
excellent in
internationally
been
have been according
research
1,700+
researchers supported by
Cambridge Enterprise
(the University’s
19,2 s
U
C
knowledge and University expenditure
University of of University
expenditure income
University of
income of awarded knowledge and
the the
£1,807m
awarded
£1,807m £1,870m
to the 2014 Research
£1,870m
technology technology
Nobel
Excellence Prize
Nobel Prize (REF)
Framework
transfer office) transfer office)
since 19041904
since
1,700
1,700
£1.6 ++ 19,200
bn
researchers
++ 87%
19,200
97.5%87%
supported
researchers by by
supported students at the
students
http://www.cam.ac.uk
at the of submissions
of submissions
£1.6bn
Cambridge Big Data Initiative
• The Cambridge Big Data Strategic Research Initiative brings together
researchers from across the University to address challenges presented by our
access to unprecedented volumes AND VARIETY of data.
• Research, Training and Network activities span all six Schools and over 50
Departments of the University from the underlying fundamentals in mathematics
and computer science, to applications ranging from astronomy and
bioinformatics, to medicine, social science and the humanities
• Five cross-cutting Themes: 1) Data Management and Processing; 2) Ethics,
Law and Policy; 3) Imaging; 4) Making Big Data Work; 5) Theoretical
Foundations.
• Cambridge Big Data supports collaboration with industries to promote
knowledge transfer in this growing field.
Chair: Prof. Paul Alexander (Astrophysics), Co-chair: Prof. Anna Vignoles (Education)
https://www.bigdata.cam.ac.uk
The Alan Turing Institute
“We will found The Alan Turing Institute
to ensure Britain leads the way again in
the use of big data and algorithm research”
George Osborne, Chancellor of the Exchequer
Budget Speech, March 2014
The goals of the Institute
Apply our data
science research to
Innovate and develop Train the next Advising policy-makers
real-world problems,
world-class research in generation of data and shaping the public
supporting the
data science and science and artificial conversation around
creation of new
artificial intelligence intelligence leaders data
products, services,
and jobs
https://www.turing.ac.uk
The Alan Turing Institute Slides courtesy of Prof. Zoe Kourtzi, Experimental Psychology & Turing University Lead
Our University Network
The Institute’s Strategic Partnerships
The Alan Turing Institute Slides courtesy of Prof. Zoe Kourtzi, Experimental Psychology & Turing University Lead
BigDat2019 - Numbers
• 42 countries
• 291 attendee
• 68 from UK
• Top 3 countries
• 68 (UK)
• Germany (29)
• Italy (25)
Special welcome to 11 from Asia (KR,HK,CH), 5 from Australia,
3 from South America (CL,AR) and 1 from South Africa
BigDat2019 – Safety and Logistics
Entrance Baker building Entrance Inglis building
from courtyard from courtyard
BigDat2019 – Safety and Logistics
Nearest Fire Exit toward Assembly Point:
• If exiting via the Reception assemble in the Royal
Cambridge Hotel Car Park.
• If exiting onto Courtyard or Centre Roadway
assemble on Coe Fen.
Out of Hours (5pm to 8am, Monday to Friday)
assemble in the Department of Architecture Car
Park (opposite Baker Reception).
Closest and most convenient Emergency Exits are
marked in red by number 1, 2, 6 and 7 in the Map
below.
Report details of any fire or incident or
misbehaviors to Support Staff, Department
Reception or site Security.
BigDat2019 – Event Schedule
Day Time LT0 (Baker) LT1 (Inglis) LT2 (Inglis)
We 9 09:00-09:15 Open session
09:30-11:00 Rokach Minor Pal
Coffee Break
11:20-12:50 Bonneau & Gligorijevic Rosenblum Samet
Lunch
13:50-15:20 Rokach Minor Pal
15:40-17:10 Bonneau & Gligorijevic Rosenblum Samet
Coffee Break
17:30-18:30 Takeda (Keynote)
18:45 Dinner with strangers
• One course split in 3 lectures
• 3 classes in parallel (pick one!)
Day Time LT0 (Baker) LT1 (Inglis) LT2 (Inglis)
• Coffe break ~20 minutes
Th 10 09:00-09:15
09:30-11:00
Open session
Fox Smith Srivastava
• Lunch break ~ 1 hour
Coffee Break
11:20-12:50 Rokach Minor Pal
Lunch • Pick what you want to attend
13:50-15:20 Chawla Zhang Suárez-Fariñas
15:40-17:10 Fox Smith
Coffee Break
Srivastava • Be in the class on time
17:30-19:00 Knoblock Ustyuzhanin Meyer • Make sure not to leave the room until
Fr 11 09:00-09:15
09:30-11:00
Open session
Chawla Zhang Suárez-Fariñas
a class is ended
Coffee Break
11:20-12:50 Fox Smith Srivastava
Lunch • Open Sessions always 9:00am-9:15am
13:50-15:20 Knoblock Ustyuzhanin Meyer
15:40-17:10 Chawla Zhang
Coffee Break
Suárez-Fariñas • Keynote in LT0 at 5:30pm on Wed
17:30-19:00 Knoblock Ustyuzhanin Meyer
http://bigdat2019.irdta.eu/schedule/
BigDat2019 - Dinner with Strangers • Voluntary “social” experiment to mingle and connect with new people • Some Pubs & Restaurants have pre-bookings for groups of 8~10 people • Meeting point is in front of the Resturant or Pub • Sign-up with your name and email tomorrow morning at Registration Desk • Every group will receive an email with instructions by Tuesday late afternoon • Everyone pays his/her own meal
Things to remember … • Support Staff is here to help • University buildings close at 5:00pm • Use Eduroam to access wi-fi (or ask Support Staff) • Do not leave your personal belongings unattended, we are not responsible for lost or stolen items! • Be polite and respectful of the common areas • We do not have storage areas for luggage • This is a University Department, please do not make loud noises and do not go around exploring restricted areas
BigDat2019 – Support Staff
Chiara Carola Manuel
Lefteris Piero Matthew JeffreyBigDat2019 – Reminders & Acknoledgments Please keep an eye on … • Schedule Updates: http://bigdat2019.irdta.eu/schedule/ • Job opportunities in Cambridge: http://bigdat2019.irdta.eu/jobs/ • Slack channel, join via http://tiny.cc/bigdat2019 • Communications via email during the week BigData2019 has been possible thanks to …
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