[Previous message][Next message][Back to index]
[ecrea] SICSA Conference on Big Data Science Innovations: Prospects in Smart Cities, Media and Governance
Fri Nov 11 23:12:26 GMT 2016
The Divisions of Computing Science & Maths and Communications, Media &
Culture at the University of Stirling warmly invite you to attend to the
conference:
*SICSA Conference on Big Data Science Innovations: Prospects in Smart
Cities, Media and Governance*
Venue: University of Stirling, Stirling FK9 4LA. The Conference will be
held in the Cottrell Building, Division of Computing Science and Maths,
School of Natural Sciences, at the University of Stirling. Travel
directions and maps can be found at:
http://www.stir.ac.uk/about/getting-here/
Date: Friday, 18 November 2016
Time: 09:00 – 18:00 GMT
Registration is FREE and includes lunch, refreshments, and a soft copy
of the Conference Abstract Proceedings
http://www.cs.stir.ac.uk/~mgo/SICSA2016/#knowmore
Big Data Science has undoubtedly gained relevance in various sectors of
society, and efforts to harness its potential have become a priority for
the industry, government, and academia alike. The recent, Scottish
Government driven Smart Cities Alliance initiative is a prime example of
an imminent shift towards future data-driven societies, whereby big data
empowers: a) city governments, including through e-governance and open
data platforms; b) journalists, for example, through the adoption of web
metrics to develop news agenda, Big data/content management systems and
embryonic forms of artificial intelligence for newsrooms; and c)
citizens, including through their active engagement in compiling,
disseminating and interpreting Big Data, subsequently leading to the
development of smart applications with the potential to enhance civic
society.
Last year’s announcement by the Scottish Infrastructure and Cities
Secretary, Keith Brown, that a 15 million euro (£11.1 million) fund
would be allocated to help make Scotland's cities "smarter" through the
use of new cutting-edge technological infrastructure, has made it clear
that the development and management of big data analytic systems is to
be a priority within the strategic planning of seven Scottish cities
forming the Scottish Cities Alliance. Within this ecosystem, it is of
paramount importance that academia becomes a complementary actor
assisting in the design, evolution, explanation and evaluation of the
technological infrastructures mediating public life.
This first of its kind, one-day SICSA funded Conference seeks to create
networking space where data scientists, technologists and scholars
involved with journalism, governance, and civic life can deliberate on
best ways to boost the development and exploitation of big data
analytics, particularly in Scotland. The goal is to impart an
understanding of the strengths and limitations of some of the key data
science technologies as they impact the future development of smart
cities, open governance and data journalism. In particular, we will
explore implications of current approaches to data analysis within city
government, local news, academic public research and civic engagement,
and ask whether they are compatible with a healthy, democratic and
self-sustainable agenda of innovation.
We invite multi-disciplinary academics, PhD research students,
technologists, policy makers, media practitioners, community developers
and think tanks interested in Big Data Science. The conference is
intended to stimulate discussions on the following key themes:
·The current state-of-the-art within the emerging Scottish (and global)
socio-technical ecosystem in smart cities, open governance, data
journalism and civic innovation.
·The potential risks and benefits to this ecosystem emerging from
current trends in data science and artificial intelligence
*//*
*/Conference schedule/*
9.00AM: Tea/Coffee Reception
10.00AM: Welcome by Conference co-Chairs: Prof Amir Hussain
& Dr Eddy Borges Rey
10.05AM: Keynote speech: Data Science and Journalism
Dr. Bahareh Heravi (University College Dublin)
This talk will introduce the concept of Data Journalism, presents a
number of examples in the area, and discuss they ways in which the new
(big) data revolution has affected the newsrooms and journalism
practices. Dr. Heravi will further discuss how various data and
information science tools and techniques are and could be used in the
areas of journalism, news reporting and storytelling. She will also
discuss how the roles in newsrooms are changing, and how newsrooms
around the worlds are now employing data scientists in the heart of
their newsrooms.
Dr Heravi is the co-founder of Irish Times Data and former Lead Data
Scientist and Data Journalist at the Irish Times. She also founded
Hacks/Hackers Dublin, which aims to bring 'hacks' & 'hackers' together.
11.00AM: Keynote Talk: Big Data Analytics: A tutorial-based
Advanced Introduction
Dr Adeel Ahsa (and Prof Amir Hussain) (Cognitive Big Data Informatics
Research Lab, Division of Computing Science, University of Stirling
Dr Ahsan is a senior postdoctoral research fellow, and Prof Hussain Lead
PI, on an EPSRC funded project (2015-18) on multi-modal Big Data
(audio-visual) analytics for next-generation hearing aids)
12 - 1.30OM: Lunch
1.30PM: Invited Talk: SayAsYouGo Scotland: Data Analytics
and Visualization for Public Opinion Mining Zara Gold
(SayAsYouGo Ltd.)
1.45PM: Invited Talk: Open Data and e-Governance
Rory Gianni (Clackmannanshire Council, Open Data Scotland)
In this session Rory will share experiences of building civic
technology, and in particular lessons learnt during the 2014 Code for
Europe residency programme with Clackmannanshire Council.
Rory is a web-developer and an Open Data Institute (ODI) registered open
data trainer. He co-founded Tirami Ltd, a company specialising in civic
technology for local government and open digital services infrastructure.
2.30PM: Research Posters Session (including Tea/Coffee)
4.30PM: Concluding Session/Wrap Up
*/Call for Abstracts, Research Posters Session/*//
In addition to invited Talks, there will also be a Research Posters
Session open to both PhD students and academics (covering all
multidisciplinary Conference topics, ranging from Big Data Science
technologies to applications in future smart cities, media, data
journalism, and e-governance). /Authors of selected best (poster)
presentations will be invited to submit extended papers for publication
in a special issue of Springer’s Cognitive Computation journal
(//http://www.springer.com/12559)///
//
Abstract submissions deadline (maximum 1 A4 page): 14 Nov 2016
Decisions Due: 16 Nov 2016
Conference dates: Fri, 18 November 2016
Any enquiries about the conference can be directed to the organising
committee:
·Prof Amir Hussain<mailto:(Paul.bradshaw /at/ bcu.ac.uk)>(ahu /at/ cs.stir.ac.uk)
<mailto:(ahu /at/ cs.stir.ac.uk)>; http://cs.stir.ac.uk/~ahu
·Dr Eddy Borges-Rey (eddy.borges-rey /at/ stir.ac.uk)
<mailto:(eddy.borges-rey /at/ stir.ac.uk)>
·Mr Mandar Gogate (mgo /at/ cs.stir.ac.uk) <mailto:(mgo /at/ cs.stir.ac.uk)>
---------------
ECREA-Mailing list
---------------
This mailing list is a free service offered by Nico Carpentier and ECREA.
--
To subscribe, post or unsubscribe, please visit
http://commlist.org/
--
To contact the mailing list manager:
Email: (nico.carpentier /at/ vub.ac.be)
URL: http://homepages.vub.ac.be/~ncarpent/
--
ECREA - European Communication Research and Education Association
Chauss�de Waterloo 1151, 1180 Uccle, Belgium
Email: (info /at/ ecrea.eu)
URL: http://www.ecrea.eu
---------------
[Previous message][Next message][Back to index]
