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HKU Libraries Blog

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10/24/2025
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5 Tips for Practicing Open Science in Your Research

Dear researchers,

Open Science practices can be applied throughout the research lifecycle. Below are five tips to help you make your research more accessible, visible, and credible.

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Pre-register your research

 
Before you start your research, you can pre-register your research design, hypotheses, data collection procedures, and analysis plans in a public repository. This boosts research quality and transparency by showing others any changes from the original plan in the final published study.
 
Guide on preregistration
 
 
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Share your research data

 
Sharing your data allows others to replicate your studies and validate your results. It also enables the reuse of your data and increases the visibility of your research. You may deposit your data in a disciplinary repository or our institutional data repository, HKU DataHub.
 
Guide on sharing research data   Guide on HKU DataHub
 
 
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Benefit from open peer review

 
Traditionally, reviewers and/or authors remain "blind" to each other. Open peer review offers alternatives that increase transparency and accountability in research. Examples include publishing reviewer reports, revealing reviewer identities, and allowing community participation in the review process.
 
Guide on open peer review
 
 
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Publish your research Open Access

 
You may publish your articles in open access so readers can access your work for free. However, some journals may charge you a fee, known as Article Processing Charge (APC). The Libraries’ transformative agreements allow HKU authors to make their research openly accessible without the need to pay APCs in eligible journals.
 
Guide on Transformative Agreements   Journals without open access fees
 
 
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Self-archive your research

 
Alternatively, you may self-archive a version of your article (preprint, postprint, or published version) into your personal web page, departmental web page, or our institutional repository, HKU Scholars Hub. You should check the publishers’ policies, for example the version of the publication and embargo period.
 
Guide on preprints   Guide on HKU Scholars Hub

For enquiries, please Email-a-Librarian (To: Open Access).

 

Best regards,
Learning and Research Services
University Libraries

Stay updated with us!

10/20/2025
profile-icon Learning and Research Services HKUL
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AI Literacy 2.0: Student-Led Journey
from Theory to AI Solution Development

Dear staff and students,

The HKU Libraries invites you to join the "AI Literacy 2.0: Student-Led Journey from Theory to AI Solution Development" series. With the training provided by student leaders from Nocodile AI, an HKU Student Interest Group, you will be able to develop a more comprehensive understanding on AI and its application. Check out the session details below.

1

 

Unveiling AI beyond ChatGPT

October 30, 2025 (Thu) | 15:30-17:00 | Seminar Room, G/F Main Library

Speakers: Rachel Cheng, BASc (Applied AI), Year 2 & Peony Lau, BASc (Applied AI), Year 2

Unveiling AI beyond ChatGPT invites participants to discover the broader world of artificial intelligence and gain a well-rounded understanding of its foundations. This workshop introduces core types of AI, including Computer Vision, Natural Language Processing, Big Data Analysis, and Reinforcement Learning, while exploring the dimensions that shape how AI is understood and applied. Through engaging discussions and a wide range of fascinating examples, the session highlights diverse applications of AI across industries as well as the ethical debates and controversies surrounding it. Designed to broaden horizons and spark curiosity, the workshop emphasizes not just what AI can do today, but how to think critically about its impact. By the end, participants will walk away with a solid, comprehensive foundation for understanding AI beyond the hype.

 Register 

2

 

Designing Your AI Solution

November 5, 2025 (Wed) | 15:30-17:00 | Seminar Room, G/F Main Library

Speaker: Hilary Chiu, BEcon&Fin, Year 3

Discover the exciting world of AI problem-solving in this dynamic hands-on session! Through engaging videos, real-world case studies, and interactive activities, participants will explore how AI transforms industries—from medical imaging to autonomous vehicles. Learn to identify the right problems for AI and navigate common pitfalls with real-life examples. The session guides participants step-by-step through designing AI solutions, assessing data and technical feasibility, and deploying effective models—all while fostering creativity and critical thinking. This immersive experience will equip participants with practical skills to harness AI's full potential and drive innovation across diverse domains.

 Register 

3

 

Building Your Own AI

November 12, 2025 (Wed) | 15:30-17:00 | Seminar Room, G/F Main Library

Speaker: Jason Chiu, BASc (Applied AI), Year 5

This interactive workshop offers a hands-on introduction to training object detection AI models without coding. Using Nocodile AI, a no-code platform developed by our team, participants will explore the complete AI pipeline: from collecting and labelling data to training custom models and deploying them. The experience culminates in deploying models onto real robots and running them in action, offering a vivid look at how AI interacts with the physical world. Along the way, the workshop highlights real-life challenges such as data quality, accuracy, and system limitations, encouraging creativity and problem-solving. By the end, participants will have built and tested AI models firsthand while gaining valuable insights into the practical realities of bringing AI from concept to deployment.

 Register 

About Nocodile AI

Nocodile AI is an HKU Student Interest Group, dedicated to equipping beginners with the skills and mindset essential for thriving in an AI-driven future. The group was founded and is led by Jason Chiu, a BASc (Applied AI) student and co-founder of the HKU AI Society, whose thoughtful guidance helps shape the direction and foster a supportive community among its members. Recognizing that AI integration is crucial for future leaders, Nocodile AI provides HKU students with a supportive environment through hands-on workshops, collaborative projects, and accessible resources that demystify AI technologies. By encouraging interdisciplinary participation, Jason and the group empower students from diverse academic backgrounds to explore real-world AI applications, develop innovative solutions, and strengthen their problem-solving skills, fostering future leadership and innovation.

Acknowledgement

Thanks to student members from HKU AI Society and HKU RAICOM for assisting the training sessions.

Remarks

This collaborative learning series is facilitated by HKU student leaders. Session coordination is provided by Ms. Cindy Liang (cindylxy@hku.hk), Learning Experience Instructor, HKU Libraries. Please contact the coordinator, Cindy, if you have any inquiries or questions.

Stay updated with us!

 Training Calendar   Learning and Research Services   AI Literacy For U Series 2   AI Literacy LibGuide 
 
10/07/2025
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Library Training

We warmly invite you to participate in our upcoming library training sessions, designed to help you develop essential skills and explore a variety of tools to support and enhance your learning and research experience. Below are the sessions to be held in October 2025:

Database Training Sessions

[Gale Primary Sources] Digital Sources for HONG KONG HISTORY

All Arts
e-Learning Lab, G/F Main Library
22 Oct 2025 | 1:00-2:00 PM
Register

[Gale Digital Scholar Lab] Visualizing the Humanities Gale Digital Scholar Lab

All Arts
e-Learning Lab, G/F Main Library
22 Oct 2025 | 3:00-4:00 PM
Register

Factiva - One Product, Two Experiences

All Multidisciplinary
Zoom
24 Oct 2025 | 4:00-5:00 PM
Register

Exploring Inspec - A Key Physics & Engineering Collection on Engineering Village

All Engineering
Zoom
28 Oct 2025 | 2:30-3:30 PM
Register

Self-Paced Online Courses

ILT01: Academic Honesty

Enroll Now →

ILT02: Manage Citation with EndNote

Enroll Now →

ILT03: Library Essentials for Postgraduate Students

Enroll Now →

ILT04: Library Essentials for Undergraduate Students

Enroll Now →

For enquiries, please contact Email-a-Librarian (To: Library Training).

Best regards,
Learning and Research Services
University Libraries

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