• Funding: KIC (Knowledge and Innovation Covenant); more than 25 societal partners. 

Online imitation, where organizations or individuals are convincingly impersonated by others, plays an important role in misinformation campaigns, phishing, fraud, reputational harm, and digital insecurity. This undermines trust in legitimate sources and has direct consequences for sectors such as government, healthcare, finance, and public communication. AuthentiMark develops innovative digital watermarking technology to authenticate online content and help distinguish legitimate content from imitation. The project combines technical innovation with research into use, acceptance, implementation, and societal support. It investigates not only how digital watermarking solutions can be developed, but also how organizations can implement them effectively and how citizens can benefit from them in everyday digital decision-making.  

AuthentiMark is an interdisciplinary consortium led by researchers at the Amsterdam School of Communication Research at the University of Amsterdam, in collaboration with Radboud University, Amsterdam UMC, and a broad network of nearly 30 partners from policy and practice. The consortium includes stakeholders from technology, government, healthcare, finance, municipalities, public communication, libraries, youth organizations, fraud prevention, and digital identity infrastructures. 

• Theme (4C): Countering 
• Principal investigators: Jessica Piotrowski, Guda van Noort and Christian Burgers
• Other MiRA researchers involved: Sandra Jacobs, Ulrike Klinger, Hilde Voorveld, Alain Starke, Marina Tulin, Olga Eisele, Tom Dobber 
• Partners & collaborators: Radboud Universiteit Nijmegen, Amsterdam UMC, Verify, Yivi, SURF, KPN, ING Bank, Nederlandse Vereniging van Banken, Microsoft, Fides Labs, Stichting Privacy by Design, Nederlands Instituut voor Beeld en Geluid, Gemeente Amsterdam, Gemeente Alkmaar, Gemeente Purmerend, NH Veilig, Gemeentelijke Gezondheidsdienst Amsterdam Amstelland, Nederlands Jeugdinstituut, Nationaal Ouderenfonds.  
• Outputs: 

• Funding: ORC (Open Research Consortium); more than 25 societal partners. 
• Description: [Short description of the project and how it addresses mis- and disinformation.] 
• Themes (4C): [Select the themes that apply: Content, Causes, Consequences, Countering.] 
• Team: [Principal investigators and MiRA researchers on the project.] 
• Partners & collaborators: A large consortium of academic and societal partners. [Name the specific partners.] 
• Outputs: [Key publications and other outputs of this project.] 

• Funding: NWO Open Competition (M grant). 
• Description: [Short description of the project and how it addresses mis- and disinformation.] 
• Themes (4C): [Select the themes that apply: Content, Causes, Consequences, Countering.] 
• Team: [Principal investigators and MiRA researchers on the project.] 
• Partners & collaborators: [Name the academic and societal partners on this project.] 
• Outputs: [Key publications and other outputs of this project.] 

• Funding: NWO Open Competition (XS grant). 
• Description: [Short description of the project and how it addresses mis- and disinformation.] 
• Themes (4C): [Select the themes that apply: Content, Causes, Consequences, Countering.] 
• Team: [Principal investigators and MiRA researchers on the project.] 
• Partners & collaborators: [Name the academic and societal partners on this project.] 
• Outputs: [Key publications and other outputs of this project.] 

• Funding: EU-funded; a consortium of more than 25 academic and societal partners. 
• Description: [Short description of the project and how it addresses mis- and disinformation.] 
• Themes (4C): [Select the themes that apply: Content, Causes, Consequences, Countering.] 
• Team: [Principal investigators and MiRA researchers on the project.] 
• Partners & collaborators: Belgian and Dutch academic and fact-checking partners. [Name the specific partners.] 
• Outputs: [Key publications and other outputs of this project.] 

• Funding: Sub-projects on mis- and disinformation within the AlgoSoc programme. 
• Description: [Short description of the project and how it addresses mis- and disinformation.] 
• Themes (4C): [Select the themes that apply: Content, Causes, Consequences, Countering.] 
• Team: [Principal investigators and MiRA researchers on the project.] 
• Partners & collaborators: [Name the academic and societal partners on this project.] 
• Outputs: [Key publications and other outputs of this project.]

• Funding: RPA Fair and Resilient Societies Midsize Grant, Conflict & Society Research Priority Area, NWO Veni 

Invisible information projects study knowledge that is missing or marginalized - and hence invisible - in our increasingly digitized lives, including what this invisibility means for fairness, equity, and the nature of human knowledge. This research spans modern computational methods and community-driven research initiatives, ultimately to make the invisible visible and actionable for a more informed and inclusive society. 

• Themes (4C): Content, Causes, Consequences, Countering 
• Team: Saurabh Khanna, Olga Eisele, Wende Tufa, Chei Billedo, Lauren Taylor, Sindy Sumter, Irene van Driel 
• Partners & collaborators: Stanford University (SILICON & Public Knowledge Project), University of Oxford (Pembroke College & Leverhulme Centre for Demographic Science), Simon Fraser University (Scholarly Communication Lab), Wikimedia Foundation, Institute of Language Logic & Computation 

Outputs

• Khanna, S. (2025). Knowing Unknowns in an Age of Information Overload. arXiv preprint arXiv:2510.10413. https://doi.org/10.48550/arXiv.2510.10413 

• Khanna, S., Ball, J., Alperin, J. P., & Willinsky, J. (2022). Recalibrating the scope of scholarly publishing: A modest step in a vast decolonization process. Quantitative Science Studies, 3(4), 912–930. https://doi.org/10.1162/qss_a_00228 

More at invisible.info.