Live ScholarIQ Demo on Thursday, April 16 at 11:00 AM EDT
About This Demo
Across research teams, literature discovery and early-stage screening are still time-consuming and fragmented. Studies are sourced, exported, cleaned, screened, and tracked across multiple tools, making it difficult to maintain context and ensure decisions are transparent and reproducible.
While many AI tools promise speed, they often operate as black boxes, making it difficult to understand how results are generated or to defend decisions made during the process.
ScholarIQ was built to offer a different approach.
In this live demo, we will walk through how AI can support literature discovery, screening, and early data extraction within a structured, traceable workflow where every step remains visible and accountable.
What You’ll See
In this 30-minute walkthrough, we will demonstrate:
- How teams use ScholarIQ to support literature discovery and iterative evidence expansion
- How screening and early-stage data extraction can be structured within a single workflow
- What transparent, traceable AI looks like in real research environments
- How decisions, context, and supporting evidence are preserved throughout the process
- How ScholarIQ fits into broader evidence synthesis workflows, from discovery to structured analysis
You will see a real example and a complete walkthrough of how the workflow operates in practice, not just a high-level overview.
What is ScholarIQ
ScholarIQ is an AI-powered research discovery platform designed to accelerate literature exploration, screening, and early evidence extraction while maintaining transparency, reliability, and control.
Unlike black-box AI tools, ScholarIQ keeps AI assistance fully visible and traceable, allowing researchers to inspect underlying evidence, understand how outputs are generated, and remain accountable throughout the process.
It can be used as a standalone tool for individual researchers or as part of the PICO Portal ecosystem for teams managing collaborative evidence synthesis workflows.
Who This is For
This session is designed for:
- Researchers conducting systematic or literature reviews
- Evidence synthesis professionals
- Librarians and research support teams
- Teams evaluating AI tools for discovery and screening workflows
Key Details
Date: Thursday, April 16
Time: 11:00 AM EDT (New York) / 3:00 PM GMT (UK)
Duration: 30-minute live session
Join us live or register to receive the recording.