[Air-L] Fwd: Data for Policy 2020: Call for Papers, Sessions and Workshops
Zeynep Engin
ds.engin at gmail.com
Tue Feb 25 06:31:51 PST 2020
1. *Data for Policy 2020:* Call for Papers and Session Proposals
2. *Data for Policy 2020:* Call for Pre-conference Workshops and
Tutorials
3. *Vacancy (deadline: 28th February):* Research Assistant / Research
Fellow in Data Science for Governance and Public Policy
------------------------------
1)* Data for Policy 2020:* Call for Papers and Session Proposals 15-16
September 2020, UCL, London, UK
dataforpolicy.org
<https://dataforpolicy.us9.list-manage.com/track/click?u=0e48a758fb1eccb009ec5c754&id=9b6005269a&e=5b0bc1e683>
| @dataforpolicy
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| cambridge.org/dap
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| @data_and_policy
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The Data for Policy conference series is the premier global forum for
multiple disciplinary and cross-sector discussions around the theories,
applications and implications of data science innovation in governance and
the public sector. The conference series has also entered into a new
open-access peer-reviewed journal venture, *Data & Policy
(cambridge.org/dap <http://cambridge.org/dap>)*, published by Cambridge
University Press and supported by the Alan Turing Institute, the Office for
National Statistics and UCL, in order to capture, assess and disseminate
scholarly discussions in this fast-growing field.
Convening for the fifth time in September 2020, the International
Organisation Committee for the conference invites Paper and Panel
Session proposals at the conference to be also considered for potential
post-conference publications in *Data & Policy* (subject to peer-review).
Topics covered include but are not limited to the following:
- *Data, Governance and Policy:* Digital era citizenship, governance and
democracy; data and sustainability, data and politics, evidence and
information, data-algorithm-policy interactions, public-private sector
collaborations, best practices;
- *Governance Technologies (GovTech):* Machine Learning (ML) /
Artificial Intelligence (AI), Big Data, Blockchain Distributed Ledger and
Smart Contract Technologies, Behavioural and Predictive Analytics, Internet
of Things, Information Security, location-based technologies,
user-interaction technologies (chatbots, platforms etc.), and other
relevant technologies;
- *Systems & Infrastructure:* Data collection, capture, storage,
sharing/transactions, processing and visualization systems, mobile
applications and web services, high performance computing, distributed and
decentralized systems, and other relevant topics;
- *Data Processing & Knowledge Generation: *Data representation and
pre-processing, data integration, real-time and historical data analysis,
mathematical and statistical models, ‘data-driven’ analysis, mixed
methodologies, secondary data analysis, web mining, Randomised Controlled
Trials (RCTs), gaps in theory and practice, other relevant topics;
- *Policy for Data & Management: *Data governance and regulatory
frameworks; General Data Protection Regulation (GDPR); data ownership,
curation, sharing and linkage; meta-data, standards and interoperability,
responsible innovation in governance;
- *Trust, Privacy, Ethics & Law: *Personal data sharing, data integrity,
algorithm agency and accountability, ‘trustworthiness’ of autonomous
systems, algorithmic transparency and interpretability,
citizen-government-private sector interactions, citizen/public rights and
free speech, other social/ethical concerns and technology responses.
In addition to these Standard Tracks, submissions can also be made to the
following Special Tracks
<https://dataforpolicy.us9.list-manage.com/track/click?u=0e48a758fb1eccb009ec5c754&id=cd08267e94&e=5b0bc1e683>
that
have been shortlisted for this year’s conference:
- *Special Track 1: *Data, analytics and digital transformation in the
private sector
- *Special Track 2: *Data Quality and Development Policy
- *Special Track 3: *Data Trusts: Democratising data governance
- *Special Track 4: *Documenting Data and Data Science: Surfacing Data
Processes and Practices
- *Special Track 5: *Feminicide, Data and Policy: data activism, civic
information ecosystems, and public policy oriented to ending lethal
gender-related violence against women
- *Special Track 6:* ‘For good measure’: The challenges of quantifying
complex problems for policymaking
- *Special Track 7: *Harnessing Data and Science to Achieve the
Sustainable Development Goals
- *Special Track 8: *Regulating algorithmic trading in financial markets
- *Special Track 9: *Google Economics: Data – Complex Models –
well-informed Policy Making
- *Special Track 10: *Data technologies and governance frameworks used
for gathering, storing, managing, processing, analyzing and sharing data in
the public administrations
- *Special Track 11: *Recent experiences using GovTech to address data
sharing challenges and to implement modern data access paradigms
- *Special Track 12:* Data Literacy for Policy
- *Special Track 13: *Data Governance in the Public Interest
- *Special Track 14:* Data Governance for Innovation for Sustainable
Smart Cities: Opportunities and Challenges in Public Policy and
Institutional Design
- *Special Track 15: *Applying data for improved service design and
delivery
*Submission instructions *
Contributors should follow the instructions on the conference website
<https://dataforpolicy.us9.list-manage.com/track/click?u=0e48a758fb1eccb009ec5c754&id=61e229d671&e=5b0bc1e683>
in
order to submit an abstract for their paper or session proposal, or their
poster presentation.
Abstract submissions will be assessed according to the criteria outlined on
the website. Contributors will be notified on 18th May whether they have
been accepted into the conference.
*Dissemination options*
Those accepted to present at the conference will be given two mutually
compatible, open-access options for disseminating their full paper and/or
any related materials.
The Data for Policy community platform on Zenodo (
https://zenodo.org/communities/dfp17
<https://dataforpolicy.us9.list-manage.com/track/click?u=0e48a758fb1eccb009ec5c754&id=2750d2927c&e=5b0bc1e683>),
an open-access repository, can be used to share the paper ahead of the
conference, along with any related materials such as posters, slides,
audio, video, protocol, data sets and code that you think others may wish
to view or re-use.
In addition, there is the option of submitting a full paper to *Data &
Policy *(cambridge.org/dap), the open access journal launched in
collaboration with Cambridge University Press (CUP). As outlined on the
website the journal considers several article types
<https://dataforpolicy.us9.list-manage.com/track/click?u=0e48a758fb1eccb009ec5c754&id=3b536500e8&e=5b0bc1e683>:
research papers, commentaries, replication studies and* Data & Policy* reports.
Authors will receive feedback from editors and reviewers with expertise in
different domains, as a result of the peer-review process
<https://dataforpolicy.us9.list-manage.com/track/click?u=0e48a758fb1eccb009ec5c754&id=9237e19a3b&e=5b0bc1e683>
overseen
by the Editorial Board
<https://dataforpolicy.us9.list-manage.com/track/click?u=0e48a758fb1eccb009ec5c754&id=669d9e902d&e=5b0bc1e683>.
If accepted, the paper will receive greater impact as a result of formal
publication, curation and promotion from our partners at CUP.
Neither of these dissemination options are required for presenting at the
conference, but we encourage contributors to consider the advantages of
using them to help build the community and knowledge base concerned with
impact of data science on policy and governance.
*Contacts: *For all questions related to conference submissions, please
contact team at dataforpolicy.org; and for questions relating to publication
in *Data & Policy*, please contact dataandpolicy at cambridge.org .
------------------------------
2. *Data for Policy 2020:* Call for Pre-conference Workshops and Tutorials 14
September 2020, UCL, London, UK
dataforpolicy.org
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| @dataforpolicy
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| cambridge.org/dap
<https://dataforpolicy.us9.list-manage.com/track/click?u=0e48a758fb1eccb009ec5c754&id=21ae434704&e=5b0bc1e683>
| @data_and_policy
<https://dataforpolicy.us9.list-manage.com/track/click?u=0e48a758fb1eccb009ec5c754&id=580d401837&e=5b0bc1e683>
*Workshops and Tutorials Chair: *Professor C. Leigh *Anderson*, University
of Washington
Data for Policy is inviting proposals for 1.5-hour workshops for a
pre-conference program on 14th September aimed at educating policy
practitioners and researchers on current and emerging knowledge and debates
on topics that intersect data and public policy. In exceptional cases,
allocation of multiple 1.5-hour slots on the same theme will also be
considered.
We are seeking a selection of workshops that preview or complement the
conference program. Proposals from the academic, government, and private
sector of a non-commercial nature are welcome. Accepted workshop proposals
will be published on the conference website
<https://dataforpolicy.us9.list-manage.com/track/click?u=0e48a758fb1eccb009ec5c754&id=8a92c5feac&e=5b0bc1e683>
and
advertised for registration.
*Workshop Goals*
Valuable workshops are those that advance participant’s ability to be
critical and informed consumers or producers of data based evidence,
understand the differences between causal inference and prediction, and be
cognizant of the potential and limitations of new data sources and
computational methods for public policy and program delivery. Topics can
fall into three areas and cover:
- *Technical to policy translation* on data sources such as the
internet, IoT, social media, administrative, satellite and other
remotely-sensed, computation methods and technologies (e.g. AI,
Blockchain), and popular/ open-access data and document sharing and
management tools.
- *Policy to technical translation* covering how the policy process
works, points of decision-making and the use of data; current methods of
program delivery including coverage, measurement and evaluation; legal and
policy frameworks governing data production, acquisition, sharing and use.
- *Sector applications* in particular policy fields such as health,
education, climate, transportation, employment, finance and management,
governance and democracy, and security.
We have two target audiences in mind. These are:
- *Executive, Policy and Practitioner:*
These participants are key decision-makers and influencers primarily in the
public sector, but also in private and not-for-profit organizations with
social responsibility in health, education, transportation or any field
where knowledge and expertise will be complemented by a greater
understanding of the technical domain, including what is meant by privacy,
how to work and communicate with data scientists, using data and technology
to improve program delivery, estimating the cost-effectiveness of different
digital technologies, and anticipating the regulatory and ethical
implications. Proposals that target this audience should think of
relatively introductory level instruction pertaining to the
language, landscape, value, uses and likely impacts of different
technologies and data sources.
- *Researchers and Data Scientists Specializing in Government and Public
Applications:*
These participants are researchers and analysts from the social or
computing sciences or other fields, such as law and philosophy. Proposals
that target this audience should be clear about any assumed background
training for a workshop more focused on producers of knowledge using new
technologies, data, and methods, and the policy implications of the
research.
General audience workshops that both groups can attend may also be proposed.
Queries can be directed to team at dataforpolicy.org
Submissions should be made via *EasyChair
<https://dataforpolicy.us9.list-manage.com/track/click?u=0e48a758fb1eccb009ec5c754&id=900c95b466&e=5b0bc1e683>*
(please
see guidelines
<https://dataforpolicy.us9.list-manage.com/track/click?u=0e48a758fb1eccb009ec5c754&id=cfd106730b&e=5b0bc1e683>for
further instructions).
------------------------------
3. *Vacancy (deadline: 28th February)*: Research Assistant / Research
Fellow in Data Science for Governance and Public Policy We are interested
in building a collaborative team to lead research in this emerging field
whilst also supporting the coordination and management of our two main
projects – *Data for Policy*
<https://dataforpolicy.us9.list-manage.com/track/click?u=0e48a758fb1eccb009ec5c754&id=9da8b8982b&e=5b0bc1e683>
conference
series and the *Data & Policy*
<https://dataforpolicy.us9.list-manage.com/track/click?u=0e48a758fb1eccb009ec5c754&id=b18a3576ac&e=5b0bc1e683>
journal.
The primary purpose of this post will be to research, monitor and report on
the evolution of an emerging field using data science for policy and public
good, with the aim of growing the conference and publications in the
journal.
The post holder will support the Data for Policy project activities based
at UCL Computer Science. Depending on their experience and appointment
level, they will be expected to conduct and/or contribute to group research
efforts, help with the editorial responsibilities of the Data & Policy
journal and the organisation of the annual Data for Policy conferences.
The funding for this post is for 12 months in the first instance.
For further information and to apply for the vacancy please click ‘Apply
now’ in this link.
<https://dataforpolicy.us9.list-manage.com/track/click?u=0e48a758fb1eccb009ec5c754&id=1179f99b9e&e=5b0bc1e683>
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