Research
We study what is missing from the digital information ecosystem across languages, science, culture, and conflicts. Our research sheds light on invisible information in multiple forms: underrepresented languages on the web, overlooked academic scholarship, marginalized cinematic and literary works, underreported conflict events, and biases in visual media and human perception.
Measure, explain, and reduce the invisibility of human language by comparing grassroots vitality and digital representation across 7400+ documented languages.
Scientometric analyses to reveal globally overlooked open academic scholarship marginalized by language barriers, publication biases, and institutional prestige hierarchies.
We have designed Pictopercept as an open-source tool to investigate the invisibility of human perceptions and judgments, revealing biases propagated through visual media.
Analyzes under-reported armed conflicts and humanitarian crises worldwide, revealing patterns of media neglect and geopolitical bias in global awareness.
Finding literary gems obscured by mainstream publishing and digital ranking systems, spotlighting authors and works marginalized by linguistic barriers, geographic isolation, or cultural factors.
Addresses systemic obscurity faced by cinematic works from under-represented regions, languages, and communities hidden beyond algorithmically curated content streams.