IGF 2022 WS #57 Exploring collective models of data governance

Organizer 1: Davies Tim, Connected by Data
Organizer 2: Jeni Tennison, Connected by Data
Organizer 3: Carolina Rossini, Rossini (Brazil)
Organizer 4: Benjamin Akinmoyeje, Namibia University of Science and Technology

Speaker 1: Jeni Tennison, Civil Society, Western European and Others Group (WEOG)
Speaker 2: Benjamin Akinmoyeje, Civil Society, African Group
Speaker 3: Astha Kapoor, Civil Society, Asia-Pacific Group
Speaker 4: Fabrizio Scrollini, Civil Society, Latin American and Caribbean Group (GRULAC)
Speaker 5: Preeti Raghunath, Civil Society, Asia-Pacific Group
Speaker 6: Carolina Rossini, Civil Society, Latin American and Caribbean Group (GRULAC)

Moderator

Carolina Rossini, Civil Society, Latin American and Caribbean Group (GRULAC)

Online Moderator

Davies Tim, Civil Society, Western European and Others Group (WEOG)

Rapporteur

Davies Tim, Civil Society, Western European and Others Group (WEOG)

Format

Round Table - Circle - 90 Min

Policy Question(s)

1) What are the problems with adopting individualistic and consent-based approaches to data governance issues?

2) What can we learn from different local traditions of collective governance for the design of global data governance practices?

3) How can participatory practice be embedded into data governance policies and practices around the world?

Connection with previous Messages: A focus on participatory methods of data governance responds to the message that “The most powerful stakeholders - governments and private companies - are responsible for ensuring that civil society actors are able to meaningfully contribute to these processes.”

The focus on collective data governance also responds to the message that “In the debate on digital sovereignty and digital autonomy, more focus needs to be placed on the individual autonomy of Internet users within the digital realm.” by calling for a focus on collective as well as individual rights.

SDGs

5.b
5.c
16.6
16.7
16.8


Targets: A focus on collective data governance addresses the development of effective, accountable and transparent institutions for governance of data (16.6), and places emphasis on responsive, inclusive and participatory and representative decision-making at all levels (16.7).

By having an discussion about different regional perspectives, and placing a focus on involving those affected by data governance decisions in making those decisions, collective data governance should broaden and strengthen the participation of developing countries in the institutions of global governance (16.8) - ensuring citizens of developing countries are represented in data governance decision making by technology firms wherever they are.

The values of collective and participatory data governance should place emphasis on gender equality, linking also to targets under SDG5.

Description:

Many current models of, and proposals for, governing data and protecting privacy, place their emphasis on individual consent, control and data ownership. Yet, such approaches fail to recognise the relational nature of data: our data is often data about other people too, and the benefits and harms of data (re-)use don’t always impact most directly on ‘data subjects’.

This session explores emerging models of collective and participatory data governance: drawing on cases and perspectives from across the globe to explore how putting communities at the heart of data governance decisions can lead to a better balance that promotes the benefits of data re-use, while protecting populations from harm, and providing effective redress when things go wrong.

Brief speaker inputs will address:

* The case for collective data governance - why we need to move beyond individual consent, and how placing communities at the heart of data governance helps balance public good and privacy protection.

* Examples of participatory data governance - looking at cases where organisations have consulted on, engaged with, and shared decision-making power with, those affected by data governance decisions, and asking how these could be shared, scaled up, or embedded into wider practice.

* Challenges for collective data governance - addressing and overcoming barriers to more participatory data governance approaches.

Participants from the floor will then be invited to share questions, observations and reflections on the topic of collective data governance as part of a roundtable format, and through brief poll questions to identify areas of consensus and difference.

Expected Outcomes

The session will build shared understanding of collective data governance, and will result in a short publication sharing examples of collective and participatory data governance from around the world, as well as outlining a set of possible future directions for policy and practice.

The workshop, and publication, will also build on, and feed into, an ongoing programme of convenings working to develop shared policy and research agendas on collective data governance, including work to feed into the UN Global Digital Compact, and G20 discussions on data governance.

Hybrid Format: We have lots of experience running hybrid events, and will brief all panelists and key participants in advance.

At present, we anticipate the roundtable will be chaired online, with the chair in contact with an in-room moderator to ensure online and in-room contributions are given equal role. We anticipate that some of our panelists will attend in person, and others will attend online.

If we use a polling tool, we will either ensure it is mobile-friendly and easy to make accessible in the physical venue, or we design poll questions so they can work with both virtual polling, and a show-of-hands in the room.

If we have a large number of participants, we may make use of small break-out groups online and offline during the discussion section, with feedback to a hybrid plenary.

Online Participation



Usage of IGF Official Tool.