-------- Forwarded Message --------
Dear Colleagues,
We invite you to submit to the Data for Policy
2022
<https://dataforpolicy.org/data-for-policy-2022/>
special track on Citizen-generated Data for Policy, Innovation,
and Democratic
Participation
<https://dataforpolicy.org/special-track-6/>.
The conference will use a hybrid format with in-person sessions
held in three locations: Hong Kong (5th Dec), Seattle (9th Dec)
and Brussels (13th Dec).
The deadline for submissions is 1st June 2022.
Session Overview:
Data innovations are having a growing effect on the participation
of citizens in both political and non-political issues of public
concern around the world. Initiatives to engage citizens through
data platforms and systems are having an impact on numerous
sectors, such as science, public health, humanitarian
interventions, activism, and much more. At the same time,
countries are beginning to develop policies that affect these
systems, covering issues such as cybersecurity, data protection
and privacy, and artificial intelligence. As we have observed in
this regulatory process globally, citizens are not always at the
centre of these policy processes, often competing with diverging
national and corporate interests.
Citizen science is a way for citizens to engage with and learn
about scientific processes, contribute to issues they care about,
and effect change. Engagements commonly occur both in person –
e.g. through environmental monitoring – or online. Crowdsourcing
is a technique used both within citizen science and innovation,
allowing either volunteers or paid crowd-workers to engage in
activities such as data categorisation, often for later use in
machine learning algorithms. Open source projects in many fields
use similar approaches, including collaborative projects such as
Open Street Maps or Wikipedia, where groups of users with specific
interests contribute to achieving common goals. What all of these
activities share is that citizens generate contribute or process
data.
The motivation for this proposed track is therefore to allow
researchers to highlight citizens' uses of data innovations, with
the hope of placing citizens at the centre of future policy-making
initiatives. The track aims to discuss challenges and
opportunities in developing data platforms, systems and policies
for civic participation, including for participation in global
development processes, democratic participation and inclusion of
marginalised communities. The aim of this special track is to
explore and showcase the full potential of citizen-generated data
in its many forms, for both policy and innovation. We will go into
more depth on the specific challenges related to the generation,
processing and use of citizen-generated data for policy and
innovation; connections between policymakers, innovators, and
citizens to enable the use of such data; and case studies of both
successful and unsuccessful connections.
Possible topics might include (but not be limited to):
* Consultations and monitoring for regional or global development
(such as the Sustainable Development Goals);
* Civic participation in democratic governance and other
decision-making processes;
* Citizen-centric data governance frameworks (such as data trusts,
data commons, and data collaboratives);
* Citizen science or participatory research;
* Citizen generated data for innovation;
* Citizen perspectives on emerging data and technology policy
challenges (such as cybersecurity, artificial intelligence,
blockchain, etc.);
* Tensions between grassroots data collection and monitoring and
high-level engagement and policy;
* Perspectives on the above in relation to gender, age, ethnicity,
or migration.
More information is available on the Data for Policy
2022
<https://dataforpolicy.org/data-for-policy-2022/>
website.
We look forward to receiving your submissions.
Kind regards,
--
Dr. Mamello THINYANE
Principal Research Fellow
United Nations University
Casa Silva Mendes, Estrada do Engenheiro Trigo No 4, Macau SAR
Tel: +853 2871-2930 | Skype ID – mthinyane
LinkedIn
<https://www.linkedin.com/in/mamellothinyane/> |
Twitter
<https://twitter.com/MamelloThinyane> |
Website
<http://cs.unu.edu/>|
www.unu.edu<http://www.unu.edu/>
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