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Global Call for Contributions of the International Observatory On Information and Democracy: Submit your Research on AI, Media, Data Governance and Mis- and Disinformation

The International Observatory on Information and Democracy opens a global call for contributions to gather international research on the four priority themes of its inaugural report:

  1. Artificial Intelligence, information ecosystems and democracy 
  2. Media Politics and Trust
  3. Data Governance and Democracy 
  4. Misinformation and Disinformation (as a cross-cutting issue)

The Observatory’s mission is to develop a common understanding of the impact of technology on the architecture of the information and communication space, and consequently our democratic institutions. The Observatory accomplishes this in part through production of a biennial report synthesising state-of-the-art existing research from around the world. The Observatory will use meta-research, by aggregating and synthesizing existing evidence through literature reviews and thematic analysis, informed by expert consultations as appropriate. It will also provide an assessment of the critical gaps in the research. This report will establish a common understanding of what we know – and don’t know – and thus support governments, policymakers, regulatory bodies, NGOs and tech corporations debate and design better policies to safeguard our democratic institutions

Three Research Assessment Panels (RAPs) – focusing respectively on each thematic priority area mentioned above – commenced their work earlier this month. They include a wide network of  international researchers and academics and are led by a Scientific Director, expert rapporteurs and the Observatory’s permanent staff.

To ensure the highest quality, relevance and diversity of the findings of the inaugural report, the Observatory is therefore calling upon experts and researchers on Artificial intelligence, media in the digital age, data governance and mis- and disinformation to submit their literature material answering the research questions addressed in the call.

We invite you to share comments or papers, reports or published opinion pieces. You may submit the contribution template (see below) directly to our email (observatory@informationdemocracy.org) in English, French, Spanish or Portuguese or using the survey by 7 January 2024.

The call for contributions is open to any individual or institution working in any capacity on these issues. We will not attribute any individual comments to you by name. However, with your permission we will thank you for your contribution in the Acknowledgements section of the Observatory’s final report. If you agree, please include your official title or your institution in your contribution.

The first report of the Observatory will be published in December 2024.

You may download the:

Or use this survey link.

Please send the template to the following email address: observatory@informationdemocracy.org

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Global Call for Contributions of the International Observatory On Information and Democracy: Submit your Research on AI, Media, Data Governance and Mis- and Disinformation – Interactive Map

Developed using GarganText by the OID in partnership with CNRS Institute for Complex Systems.

This map represents a statistical summary of the thematic content of the report. The network graph represents relations between the words in the report, placing them closer to each other the more they are related. The bigger the node, the more present the word is, signalling its role in defining what the report is about. The colors represent words that are closely related to each other and can be interpreted as a topic.

The map is generated by the OID using GarganText – developed by the CNRS Institute of Complex Systems –on the basis of the repot’s text. Starting from a co-occurrence matrix generated from report’s text, GarganText forms a network where words are connected if they are likely to occur together. Clustering is conducted based on the Louvain community detection method, and the visualisation is generated using the Force Atlas 2 algorithm.