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Ipotesi e approfondimenti

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Aiuto
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Aiuto

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.

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Su questa assemblea

Explore, analyse, and share quality ideas, hypotheses, and datasets. Learn more about how hypotheses in the observatory work, creating, and collaborating. Explore insights and results validated by scientific analysis

The Hypothesis and Insights Assembly is a space where researchers, cultural heritage professionals and everyone in between GLAM and digitisation can post new ideas or share research findings with a wider community. The hypothesis can range from an idea to a fully formed research result supported by data to be shared for others to use and reuse.

Participants can then further collaborate in this space by sharing the insights coming from their research work in form of a blog post. To publish these insight, collaborators must contact the assembly admins.

Hypothesis that have been explored through research work will be linked to one or more insight and marked as "validated".

Participants can also point at possible sources of data through the inDICEs dataset assembly. These sources of data represent novel opportunities for further developing research hypotheses.

Hypotheses 🗃️ Vedi tutto (11)

What are the best indicators to measure the impact of the digital transformation of the cultural heritage sector?
What are the best indicators to measure the impact of the digital transformation of the cultural heritage sector?
Avatar: Fiona Mowat Fiona Mowat
Context Some data has been gathered about the digital transformation of the cultural heritage...
  • Creato il
    23/11/2021
  • bullhorn 5
  • Conteggio dei Commenti: 0
Visualizza la proposta What are the best indicators to measure the impact of the digital transformation of the cultural heritage sector?
Monitoring social data on long term period
Monitoring social data on long term period
Avatar: Roxanne Lagardere Roxanne Lagardere
Context To be comapred, data should have a common framework. How to cope with changes of team,...
  • Creato il
    23/11/2021
  • bullhorn 0
  • Conteggio dei Commenti: 0
Visualizza la proposta Monitoring social data on long term period
Data visualization as a tool for socioeconomic empowerment and gender equality promotion.
Data visualization as a tool for socioeconomic empowerment and gender equality promotion.
Avatar: Francisco Duque Lima Francisco Duque Lima
Context - Women are just a third of the workforce in the movie industry; - Men get more funding...
  • Creato il
    23/11/2021
  • bullhorn 1
  • Conteggio dei Commenti: 1
Visualizza la proposta Data visualization as a tool for socioeconomic empowerment and gender equality promotion.
Emendamento
Reproducing inequalities in music platforms: The case of Bandcamp
Avatar: Antoine Houssard Antoine Houssard
Accettata Context Bandcamp is an internet platform allowing independent musicians and bands to post and...
  • Creato il
    15/12/2022
  • bullhorn 0
  • Conteggio dei Commenti: 0
Vedi tutto (11)

Assemblee

inDICEs Datasets
inDICEs Datasets

InDICEs has collected a group of datasets from the most important cultural production websites, onli...

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Riferimento: IN-ASSE-2021-10-11

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This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 870792.
The sole responsibility for the content of this publication lies with the authors. It does not necessarily represent the opinion of the European Union.
Neither the EASME nor the European Commission is responsible for any use that may be made of the information contained therein.
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