[Air-L] Fwd: [Registration open] Data for Policy 2017 - Government by Algorithm?, 6-7 September, London

Zeynep Engin ds.engin at gmail.com
Fri Jul 14 04:52:58 PDT 2017


Dear Colleagues,

We will appreciate if you could circulate this registration announcement in
your networks.

Thanks & kind regards,

Zeynep

*Dr Zeynep Engin*
Department of Computer Science
University College London



---------- Forwarded message ----------
From: Data for Policy 2017 <team at dataforpolicy.org>
Date: 11 July 2017 at 14:26
Subject: [Registration open] Data for Policy 2017 - Government by
Algorithm?, 6-7 September, London

Register early to secure your place!
3rd Annual International Conference

*Data for Policy 2017*: Government by Algorithm?

6-7 September 2017 | London       dataforpolicy.org
<http://dataforpolicy.us9.list-manage1.com/track/click?u=0e48a758fb1eccb009ec5c754&id=ddb82212e3&e=5b0bc1e683>
| @dataforpolicy
<http://dataforpolicy.us9.list-manage.com/track/click?u=0e48a758fb1eccb009ec5c754&id=56e9f95b49&e=5b0bc1e683>


Registration is now open for the Data for Policy 2017 conference – the
third in a series of prestigious annual international conferences exploring
the theories and applications of data science for government policy and
research. Following the past two conferences at University of
Cambridge, the UK Government Data Science Partnership (Go-Science, GDS,
ONS) is hosting this year’s conference at Westminster Conference Centre
(1VS) in London. Data for Policy 2017 is a truly unique international event
not to be missed – *book early to secure a place!
<http://dataforpolicy.us9.list-manage.com/track/click?u=0e48a758fb1eccb009ec5c754&id=041b349c0c&e=5b0bc1e683>*

*Organisations represented include: *

European Commission | University of Cambridge | New York University | The
Alan Turing Institute |  Harvard University | Jawharlal Nehru University,
India |  Network Rail, UK | Tel Aviv University, Israel | Stanford
University | UNICEF | Zhejiang University, China | Greater London
Authority | Open Data Institute | Full Fact | Tallinn University, Finland |
Department for Business, Energy & Industrial Strategy, UK| University of
Washington | Federal University Lokoja, Nigeria | Overseas Development
Institute, Indonesia | Ministry of Justice, UK | Nesta | University Sains
Malaysia | Royal Statistical Society | University of Queensland, Australia
| KU Leuven, Belgium | Eurostat | The Organisation for Economic
Co-operation and Development  (OECD) | Department for Communities and Local
Government, UK | UN Global Pulse | University of Zurich, Switzerland |
Imperial College London | Vodafone | Bank of England | Cancer Research UK |
Benefacts, Ireland | Metropolitan Police Service, UK |
PricewaterhouseCoopers, UK | Carnegie Mellon University | Essex County
Council | Administrative Data Research Network (ADRN) | Cambridge
University Press | Hebrew University, Israel | Sage Publications |
University of Essex | Tallinn University of Technology, Estonia | All Party
Parliamentary Group on Data Analytics (APGDA), UK | Crowdjury, Argentina
| Data-Pop Alliance | J-PAL North America |  IP Australia | University of
Oxford | Auckland University of Technology, New Zealand | University of
Dublin, Ireland | Leiden University, Netherlands | itdUPM, Spain |
Australian National University | Bocconi University, Italy | Nova School of
Business and Economics, Portugal | GlassAI | Intel | The Local Data Company
| French Biodiversity Agency | Social Coin | Pulse Lab Jakarta, Indonesia
| University College London

*Registration Deadlines:*

Presenters Registration Deadline: Tuesday, 1st August 2017
Public Registration Deadline: Friday, 25th August 2017 *

*Please note that public registration may be closed earlier if all spaces
are filled before the deadline

If you are interested in* sponsorship and exhibition opportunities* please
get in touch via email – team at dataforpolicy.org

Further information available on the conference website - dataforpolicy.org
<http://dataforpolicy.us9.list-manage.com/track/click?u=0e48a758fb1eccb009ec5c754&id=09a058ccc2&e=5b0bc1e683>
*Copyright © 2017 Data for Policy, All rights reserved.*



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