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An assembly is a group of members of an organization who meet periodically to make decisions about a specific area or scope of the organization.
Assemblies hold meetings, some are private and some are open. If they are open, it is possible to participate in them (for example: attending if the capacity allows it, adding points to the agenda, or commenting on the proposals and decisions taken by this organ).
Examples: A general assembly (which meets once a year to define the organisation's main lines of action as well as its executive bodies by vote), an equality advisory council (which meets every two months to make proposals on how to improve gender relations in the organisation), an evaluation commission (which meets every month to monitor a process) or a guarantee body (which collects incidents, abuses or proposals to improve decision-making procedures) are all examples of assemblies.
INSPIRE Data Democracy Lab
A participatory space
About this assembly
The Data Democracy Lab will serve as a digital environment for researchers, practitioners, and pilot communities to co-create models that shift from datafied participation—where data dictates and often limits participation—to data democracy, where citizens are active agents in generating and using data for democratic participation. This space will explore how data can empower more inclusive political processes and participatory policymaking.
Datafied Participation emphasizes how data is used in digital participation, often highlighting the role of data collection and analysis in shaping participation processes. It implies that democratic participation is shaped, influenced, and sometimes restricted by how data is gathered, processed, and used, potentially leading to a more passive role for citizens as "users" of the system. The focus tends to be on how data itself drives participation.
Data Democracy shifts the focus from mere datafication to empowering citizens as active co-creators in digital spaces, data generation, and AI development. It emphasizes democratic values within the data ecosystem, ensuring that people, no matter their expertise, are not just users but engaged participants with agency. Data democracy also calls for transparency, accountability, and inclusivity in the design and use of data technologies in democratic processes.
This approach contrasts top-down datafication with a more participatory, democratic framework, aligning with the overall goals of the INSPIRE project
Reference: inspire-ASSE-2024-11-3