← Explore Research Questions Research Question
How can we design responsive information systems that provide accurate context in real-time?
Related Existing Resources
Experimental Practice
Harmonica
An AI-powered facilitation platform transforming how groups gather feedback through “conversational surveys” via chat interactions. Users set up sessions, share links for one-on-one AI conversations with smart follow-ups, then receive detailed reports with AI-generated insights and recommendation...
Product
Colectiv
A behavioral science platform gathering frontline insights through AI-assisted research methods via multiple channels including WhatsApp audio-notes and AI interviews across 15+ languages. The platform transforms narratives into structured, credible data through researcher-led, tech-supported ana...
Product
Formless
An AI-powered conversational form builder by Typeform that creates forms capable of asking and answering questions while gathering information. The platform operates in 120+ languages, supports AI training on custom data, and integrates with platforms like HubSpot, Google Sheets, and Slack. Enabl...
Product
Voicepanel
An AI-powered platform streamlining customer research by automating feedback collection through voice and video responses from hundreds of participants in minutes. Features adaptive AI questioning that probes topics like a human researcher, access to 30M+ consumer panelists across 150+ countries,...
Experimental Practice
Retrieval Augmented Generation (RAG)
Retrieval Augmented Generation (RAG) is a popular machine learning technique used to make LLMs provide answers only from validated data sources. This is deployed with learning materials and other pre-validated data sources.
Experimental Practice
‘Contextualization Engines’ can fight misinformation without censorship
Contextualization Engines.