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Hypotheses and Insights

Propose a hypothesis and share your findings

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  • Hypotheses 🗃️
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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.

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About this assembly

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 🗃️ See all proposals (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...
  • Created at
    23/11/2021
  • bullhorn 5
  • Comments count: 0
View proposal What are the best indicators to measure the impact of the digital transformation of the cultural heritage sector?
Operationalizing and Measuring online democratic deliberation with hybrid methods and open participation.
Operationalizing and Measuring online democratic deliberation with hybrid methods and open participation.
Avatar: Platoniq Platoniq verified-badge
Context Skeptics of deliberative democracy question the practical viability of deliberative...
  • Created at
    23/11/2021
  • bullhorn 0
  • Comments count: 0
View proposal Operationalizing and Measuring online democratic deliberation with hybrid methods and open participation.
Infodemics and Society
Avatar: Nadia Nadesan Nadia Nadesan verified-badge
Context During the Covid-19 pandemic there was a spike in hate speech and misinformation...
  • Created at
    23/11/2021
  • bullhorn 0
  • Comments count: 0
View proposal Infodemics and Society
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,...
  • Created at
    23/11/2021
  • bullhorn 0
  • Comments count: 1
View proposal Monitoring social data on long term period
See all proposals (11)

Assemblies

inDICEs Datasets
inDICEs Datasets

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

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Duration Indefinite
Reference: 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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