How Consensus is transforming research at Hong Kong Baptist University

“Consensus makes research easier for all students, from undergraduates to PhDs. They quickly grasp how to use it and engage with high-quality academic sources.

Christopher Chan
University Librarian at Hong Kong Baptist University
140,000+
Total searches by students
42 searches
Average per student
3,500+
Students with accounts

Integrity-driven AI

Hong Kong Baptist University (HKBU), a public liberal arts institution, is committed to equipping students and faculty with the tools needed to excel in research and learning. As part of this mission, the university has strategically embraced AI to enhance knowledge creation while prioritizing critical thinking, ethical use, and research integrity.

Guided by a dedicated task force that includes University Librarian Christopher Chan, HKBU sought AI-powered research tools that balance technological innovation with the development of strong research skills.

This led them to adopt Consensus, an AI research tool built exclusively on peer-reviewed literature. Its natural language search allows users to quickly find and interpret relevant academic studies, providing an intuitive entry point into research while complementing existing library resources.

Screenshot of a Consensus search showing that 83% of 18 peer-reviewed studies support the idea that urban green spaces improve air quality. The interface highlights a summary of findings, evidence filters like RCT and Systematic Review, and a featured study on green infrastructure reducing pollution without traffic restrictions.
Search results and filter panel with RCTs, Systematic Reviews, and sample size filters selected

Overwhelming research process for students

HKBU faced a significant challenge in supporting students at all levels in their research journey. First-year undergraduates, accustomed to the simplicity of Google, often found traditional library discovery services and databases overwhelming, leading some to rely on less credible sources. Meanwhile, PhD students faced the opposite challenge – navigating an overwhelming volume of academic literature and conducting exhaustive, systematic reviews.

Ensuring that all students, from beginners to advanced researchers, had the right tools to engage with credible scholarship was a key priority for the university.

“Students would try traditional academic databases but found them overwhelming. Many reverted to Google, settling for ‘good enough’
information rather than the best scholarly sources.

Christopher Chan
University Librarian, HKBU

Research made accessible

To bridge this gap, HKBU adopted Consensus as a research tool that supports students at all levels by simplifying access to credible academic literature. For first-year undergraduates, its natural language search and clear, evidence-based summaries make it easier to identify and engage with scholarly sources without the intimidation of complex databases.

For PhD students, Consensus helps cut through the noise—quickly surfacing relevant, peer-reviewed studies and providing targeted, evidence-based answers to research questions. Its advanced filters, including study design, sample size, and methodology, allow students to narrow their focus and save time, making it a powerful starting point for literature reviews.

With Consensus, HKBU empowers students to navigate the complexities of academic research with greater confidence and efficiency.

Key features driving adoption at HKBU

To ensure AI enhances research integrity and supports information literacy, HKBU adopted Consensus for its user-friendly interface, research transparency, and academic rigor. These key features made Consensus stand out:

Quality indicators for evaluating academic research in Consensus

Quality Indicators

Journal rankings and citation metrics help students evaluate source quality

Research transparency and journal metrics in Consensus

Transparent Attribution

Clear citation information and reference tracking ensures academic rigor and allows students to verify sources, building proper research habits essential for scholarly integrity

Consensus natural language search for academic research

Natural Language Search

Students can query in plain English without Boolean logic or complex keywords

Consensus Meter summarizing research findings across multiple studies

The Consensus Meter

Visual representation of scientific agreement makes research insights immediately accessible

Consensus at HKBU: impact in numbers

In less than a year, Consensus has become a trusted research tool for thousands of students, from first-year undergraduates developing foundational research skills to PhD candidates conducting comprehensive literature reviews. These metrics highlight Consensus’s ability to meet diverse research needs while fulfilling HKBU’s commitment to ethical AI integration.

42 searches
Per student
3,500+
Students with accounts
140,000+
Total searches by students
1,250 active users
Per month

“I was really pleasantly surprised with the usage of Consensus— it exceeded expectations. It’s been great to see engagement across the university, from undergraduates to PhD students and faculty."

Christopher Chan
University Librarian, HKBU

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Consensus today

Consensus is an AI-powered search engine for academic research. Consensus helps students, researchers and faculty quickly find and understand peer-reviewed literature.