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HKU Libraries Blog

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[Researcher Connect] December 2025 Newsletter
12/08/2025
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The Researcher Connect logo

Researcher Connect, managed by the HKU Libraries, is a blog designed for the HKU research community, bringing community members the latest news and trends in research support services, as well as the updates of scholarly communication support initiatives and events available at the HKU Libraries.

What’s New?
 
Selecting a Repository for Data Sharing

Selecting a Repository for Data Sharing

For ensuring transparency and reproducibility of research, preserving data, increasing research visibility, and meeting the requirements of publishers and funders, sharing research data has been an increasing trend in academia…

Read More →
Charting Impact: HKU’s 2025 Performance in Essential Science Indicators (ESI) image

Charting Impact: HKU’s 2025 Performance in Essential Science Indicators (ESI)

Following our analyses of the University of Hong Kong’s (HKU) research performance using Essential Science Indicators (ESI) published in 2024, this year’s review consolidates the latest trends using ESI’s rolling 10‑year window and bi‑monthly updates…

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Featured
 
GPT (Ghost-Penman-Typist): Has Generative Artificial Intelligence (GenAI) Paved Its Way into Scholarly Writing? image

GPT (Ghost-Penman-Typist): Has Generative Artificial Intelligence (GenAI) Paved Its Way into Scholarly Writing?

Researchers have been using Generative Artificial Intelligence (GenAI) for research, such as writing codes, brainstorming research ideas, drafting research manuscripts, and more…

Read More →
Top 1% Scholars by Essential Science Indicators at the University of Hong Kong 2025 image

Top 1% Scholars by Essential Science Indicators at the University of Hong Kong 2025

Each year since 2009, the Libraries has published a list of the top 1% researchers worldwide by citations in at least one of the 22 research fields at the University of Hong Kong (HKU), based on Essential Science Indicators (ESI) data released by Clarivate…

Read More →
HKU Shines in Stanford’s 2025 World’s Top 2% Scientists List image

HKU Shines in Stanford’s 2025 World’s Top 2% Scientists List

Stanford University released the latest World’s Top 2% Scientists list in mid‑September 2025, recognizing leading researchers worldwide…

Read More →
Discovery Awaits: Finding Open Access Research Articles image

Discovery Awaits: Finding Open Access Research Articles

Previously, we have covered the open access movement for several times, focusing on publishing research in open access, for example: Apart from publishing, researchers and the public can enjoy the benefits brought by open access – as readers…

Read More →
 Subscribe now! 
 

Visit and subscribe to Researcher Connect for the latest news.

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

  
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Stay updated with us!
 Research Support   Research Data   Open Access   Research Impact   Researcher Connect Blog 
 
Ovid Embase Reload Scheduled
12/05/2025
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Database news

Message from Wolters Kluwer - Ovid

The Embase database is being reloaded to implement the Emtree 2025.03 Thesaurus tools:

We expect it to be live on January 20, 2026 (EST, UTC-5). The last daily update before the reload will be applied late Wednesday, 14 January 2026 (EST, UTC-5), and AutoAlerts will run on January 16, 2026 (EST, UTC-5), prior to the reload.

 

Anticipated spike in AutoAlert results due to corrections

We also want to take the opportunity to inform you we received notice from Elsevier to expect a larger file of 8K+ Embase corrections in the week of 1 December (EST, UTC-5). Consequently, users may notice an increase in alert results for the next alert run after 5 December (EST, UTC-5).

These corrections are for publication years 2023 till 2026 that will be implemented next week with the weekly Embase update on 5 December (EST, UTC-5). The changes in these records are limited to updated article identifiers, for example, an ISSN, duplicate number, or issue change.

Charting Influence Responsibly: Inside the 2025 Highly Cited Researchers Methodology
12/05/2025
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Research Support

Training for Researchers

Dear staff and students,

You are invited to the webinar below by Clarivate, introducing the methodology of Highly Cited Researchers 2025. 
1

Charting Influence Responsibly:  
Inside the 2025 Highly Cited Researchers Methodology 

by Mr David Pendlebury (Head of Research Analysis, Institute for Scientific Information) and Dr Dmytro Filchenko (Senior Director, Research & Analytics, Institute for Scientific Information)

15/12/2025 (Mon) | 14:00-15:00 | Zoom

The webinar will cover:  

  • Highly Cited Researchers program: deep dive into the methodology and 2025 changes.  
  • Analysis of 2025 Highly Cited Researchers list and trends over time.  
  • Suggestions on responsible use of metrics for Social Sciences/Arts and Humanities researchers. 

→ Register

You may also view the recordings of other Research Intelligence@HKUL sessions on the library training recording page. 

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

 

Best regards,
Learning and Research Services
HKU Libraries 

  

Stay updated with us!
 Research Support   Research Data   Open Access   Research Impact   Researcher Connect Blog 
 
Publisher's Training Event (December 2025) - De Gruyter Brill
11/28/2025
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Dear Staff and Students,

Please find the webinar by De Gruyter Brill in December 2025 below.

 

Book Publishing with De Gruyter Brill: Leading Research Areas and Success Strategies

Date: 02 December 2025, Tuesday

Time: 1:00 pm (HKT)

Registration link: https://shorturl.at/bRIsG

Join Karin Sora (Vice President STEM, De Gruyter Brill) , Hélène Chavaroche (Acquisition Editor in Physical Sciences, De Gruyter Brill) and Damiano Sacco (Acquisitions Editor in Technology, De Gruyter Brill) as they share science publishing insights, break down aligning your work with our priorities, and answer questions to ease your path from manuscript to publication.

 

This webinar will cover:

  • De Gruyter Brill’s science book program and dynamic research areas
  • Full publication process
  • Insider tips for a successful proposal
  • Practical strategies to publish

 

For enquiries, please directly contact the respective publisher(s).

 

Learning and Research Services
HKU Libraries

 

Disclaimers:

The training session(s) or event(s) is/are organised by the corresponding publisher(s). Any enquiries should be directly addressed to the corresponding publisher(s) respectively. 

Information collected by the publisher(s) for training session(s) or event(s) is NOT subject to the Privacy Policy of the HKU Libraries.  

The HKU Libraries shall not be held responsible for any dispute, loss or damage which may arise as a result of using the information provided on this page. 

AI-assisted Academic Success: Empowering Smarter Learning
11/25/2025
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5 Tips Newsletter
AI-assisted Academic Success Banner

Artificial Intelligence (AI) is transforming the way we learn, research, and create. At HKU Libraries, we are committed to supporting your academic journey with tools, guidance, and activities that promote responsible and effective use of AI. Explore these key resources:

🔍 1. AI Literacy LibGuide

The AI Literacy LibGuide is HKU Libraries’ central resource for understanding and using artificial intelligence in academic contexts. It provides a curated GenAI Tools Map, tutorials, and guidance on the ethical and responsible use of AI in learning and research. The guide also covers practical topics, such as citing AI-generated content, academic integrity, and copyright considerations, helping students and staff navigate AI technologies with confidence and transparency.

Explore AI Literacy LibGuide →		 Search Icon
Writing Icon

✍ 2. How to Cite AI-Generated Content

The HKU Libraries guide explains how to properly acknowledge AI-generated content in academic work properly, ensuring transparency and integrity. It outlines citation practices for major styles such as APA, MLA, Chicago and Harvard, including how to reference prompts, tool names, versions, and dates. The page also advises adding explanatory notes on how AI was used and stresses compliance with faculty-specific guidelines. These recommendations help ensure the responsible and ethical integration of AI tools in research and writing.

See How to Cite AI-generated Content →

🎓 3. AI Literacy for U Series

The page highlights HKU Libraries’ initiatives and some other iconic learning resources to build AI literacy through structured learning opportunities. It introduces the AI Literacy for U Series, which offers workshops and seminars on responsible AI use, ethical considerations, and practical applications in academic work. The guide also directs students and staff to external courses and resources for further learning, such as "Generative AI Essentials" by DeepLearning.AI, "AI for Good" and "Innovative Teaching with ChatGPT" on Coursera, ensuring that they can develop the critical skills necessary for navigating AI technologies. These programmes aim to empower learners to use AI tools effectively while maintaining academic integrity.

Explore Learning Resources in the AI Literacy LibGuide →		 Graduate Icon
Justice Icon

⚖️ 4. Copyright and Generative AI

This online guide provides an overview of key copyright issues related to generative AI. It addresses key topics, including copyright protection eligibility, infringement liability, the use of copyrighted works for AI training, and considerations for licensing content for AI training. The guide also explores emerging topics such as the proposed Text and Data Mining exception in Hong Kong, the implications of using Creative Commons (CC) licensed works for AI training, and CC Signals, a new Creative Commons initiative that enables content owners to ethically and transparently express their preferences for AI training use.

Read Copyright and Generative AI →

🛡️ 5. Academic Integrity and AI Detection

This page explains how Turnitin’s AI writing detection tool works and its role in maintaining academic integrity. It highlights that the tool identifies text likely generated by AI, but results should be interpreted cautiously, as false positives and negatives can occur. The guide advises instructors and students to use detection reports as a starting point for discussion rather than definitive proof. It also emphasises transparency and responsible AI use in academic work.

Learn about AI Writing Detection →		 Shield Icon
Checkmark Icon

Three Quick Tips for Responsible AI Use

  • Use AI to support, not replace, your own thinking.
  • Always cite AI contributions.
  • Check your faculty’s guidelines before using AI tools.

📬 For enquiries, please Email-a-Librarian (To: Information Search / Library Training).

 

Best regards,
Learning and Research Services
University Libraries

Stay updated with us!

Learning and Research Services | Training | Library Guides | E-Resources Supporting Teaching | EndNote
[Exam Boost Week] Student-Led AI Study Hacks
11/17/2025
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HKUL_x_Microsoft_Student-Led_AI_Study_Hacks_TV_banner

Dear students,

You are invited to join a dynamic lunchtime series designed to support you with study hacks powered by AI tools, such as appMemo and Microsoft Copilot. Hosted in partnership with memo.cards and Microsoft, this event brings together innovative student voices to share practical demonstrations and real-world use cases for AI in learning, research and early career preparation. Join us online via Zoom from November 25 to 28, starting at 12:00 p.m. Don’t forget to get your lunch first!

 

Session 1: Cut Your Study Time in Half: Mastering AI Study Tools like Memo (memo.cards) and Others

Time and Date: 25 November 2025 (Tuesday), 12:00 – 13:00

Speakers:

  • Jason Chan, co-founder of Memo; Year 4 student, Li Ka Shing Faculty of Medicine 
  • Calvin Cheung, co-founder of Memo; Year 4 student, Li Ka Shing Faculty of Medicine

Registration Link: https://hku.zoom.us/webinar/register/WN_x3oyCfYVSt-AofPBHP_9Dg

Abstract: This session introduces students to cutting-edge AI-powered learning techniques using appMemo (memo.cards), alongside proven study methodologies. Students will learn how to leverage artificial intelligence to transform their study materials into effective learning resources while cutting study time in half. It combines practical demonstrations of appMemo’s features with evidence-based learning principles, including active recall and spaced repetition. HKU students will receive exclusive 3-month pro access to appMemo and learn transferable skills applicable across various learning platforms. This session is ideal for students looking to optimize their study efficiency and embrace modern learning technologies. 

Session 2: Supercharge Group Projects & Presentations with Copilot and Azure AI

Time and Date: 26 November 2025 (Wednesday), 12:00 – 13:15

Speakers:

  • Deniz Jafarzade, Year 1 student, School of Computing and Data Science
  • Lo Lok Wing, Year 2 student, Faculty of Business and Economics (HKU Business School)
  • Huseynli Daniz, Year 1 student, Faculty of Engineering
  • Fok Ching Yin, Year 3 student, Faculty of Engineering
  • Alexander Gunawan, Year 1 student, School of Computing and Data Science

Registration Link: https://hku.zoom.us/webinar/register/WN_B0k81sotSleZb2vPXz8Zng

Abstract: Explore how AI tools like Copilot can revolutionize group projects and presentations. Learn to generate impactful visuals, automate research, and streamline content creation for coursework and group assignments. This session covers strategies for image generation, building AI agents for market research, and leveraging Copilot for exam prep in resource-limited courses. Demos will include interactions with Copilot in Word, PowerPoint, and Chat Web, discovering strategies to create practice questions, manage budgets, and present with confidence. Ethical AI use, critical thinking, and practical tips for maximizing productivity and collaboration will also be mentioned. 

Session 3: AI for Research, Career, and in the Arts: Practical Applications

Time and Date: 27 November 2025 (Thursday), 12:00 – 13:30

Speakers

  • Abby Ho, Postgraduate student, Faculty of Education
  • Sapaeva Khilola, Year 3 student, Faculty of Engineering
  • Ying Yuen Kei Cheryl, Year 2 student, Faculty of Business and Economics (HKU Business School)
  • REGANIT, Julianna Martina Mercado, Year 3 student, Faculty of Arts

Registration Link: https://hku.zoom.us/webinar/register/WN_1dnm4nKvRWumZZGj7rc8sg

Abstract: This session showcases diverse AI applications in academic research, career development, and use AI as cultural echo to honor cultural heritage. Participants will learn about how AI can assist in qualitative research, resume building, and prompt engineering for generative art. It includes using Copilot for thematic coding of interview data, resume enhancement, and ethical image generation to honor underrepresented artists. Participants will develop practical skills in data analysis, career preparedness, and the responsible use of AI, with a focus on critical thinking, ethical considerations, and amplifying the voices of underrepresented groups.  

Session 4: Building Personalized AI Study Agents for Exam Success

Time and Date: 28 November 2025 (Friday), 12:00 – 13:15

Speakers

  • Guo Xinyue, Year 1 student, Faculty of Business and Economics (HKU Business School)
  • Brown Destiny Sotonye, Year 2 student, Faculty of Engineering
  • Cheng King Hin Ethan, Year 1 student, Faculty of Arts

Registration Link: https://hku.zoom.us/webinar/register/WN_BXqA7FLWTKeiKPNjtH1LFQ

Abstract: Discover how to create and customize AI-powered study agents using Copilot and M365 tools, with no coding required. This session guides participants through building agents that integrate course-specific resources, generate quizzes, and transform notes into structured study guides. Learn prompt engineering techniques, iterative refinement, and strategies for maximizing study efficiency. The session aims to empower participants to streamline exam preparation, collaborate on group projects, and leverage university resources like GitHub Education.  

 

We look forward to welcoming you to Exam Boost Week! Whether you are seeking to optimize your study routine, collaborate more effectively, or explore new AI applications, these sessions offer valuable insights and practical skills for your academic journey. Bring your lunch, join us online, and let’s boost your exam success together!

 

Best regards,

Learning and Research Services
The University of Hong Kong Libraries

 

Disclaimer: HKU Libraries supports students and respects their personal insights and sharing. The views expressed by speakers do not represent the position of the Libraries. HKU Libraries firmly upholds academic integrity.
Scholarly Publishing & an Introduction to becoming an Editor
11/13/2025
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Scholarly Publishing & an Introduction to becoming an Editor
 

Dear researchers and students,

 

We warmly invite you to participate in an upcoming sharing session on scholarly publishing and becoming an editor, hosted by Ms Catherine Liu (Publisher in Economics Journals, Elsevier).

 

Scholarly Publishing & an Introduction to becoming an Editor

Date: 25 November 2025 (Tue)

Time: 14:30-15:30

Venue: E-Learning Lab (G/F, Main Library)

Speaker: Ms Catherine Liu (Publisher in Economics Journals, Elsevier)

The session would cover:

  • Scholarly publishing, aiming to provide the audience with background information on academic publishing,
  • An introduction to becoming an academic journal editor, and
  • Q&A session.

 

Registration
https://lib.hku.hk/cgi-bin/course/list_gp_m.cgi?category=8#12918

 

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

 

Best regards,
Learning and Research Services
The University of Hong Kong Libraries
Library Support in Academic Integrity
11/13/2025
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HKU Libraries · Announcement · Nov 2025

Library Support in Academic Integrity

Dear Faculty Members and Students,

University Libraries is an essential part of the educational hub at HKU. We uphold academic integrity by offering training and workshops, resources, and guidance to the HKU community.

Here we provide you with highlighted library support in academic integrity.

Training and Events

Research Integrity in GenAI Week

A series of activities was recently held in collaboration with the Faculty of Education to enhance your awareness of research integrity in GenAI.

Academic Integrity GenAI tools

ILT01 Information Literacy Training: Academic Honesty

A self-paced online course on upholding academic integrity, avoiding AI plagiarism, citing properly, and using Turnitin.

Information Literacy Academic Honesty
Tools

AI-Empowered Research Tools Are Available with HKU Access

A range of AI-powered research tools and AI-enhanced features in HKU-subscribed databases to support your research.

Research Tools Productivity

Turnitin

An online tool that detects potential plagiarism, flags AI-generated content, and streamlines grading with targeted feedback.

Note: Since the tool may have limitations (e.g. false positive) in AI writing detection, instructors are advised to use it as a reference tool only but not as direct evidence of academic misconduct.

Plagiarism Detection

How to Cite GenAI Usage

Proper citation strengthens integrity and transparency. Usage of GenAI should be acknowledged and documented appropriately. EndNote and Zotero help organize and manage references throughout your writing process.

Citation Management Citation Style
Extended Readings

Copyright and Gen-AI

The guide offers a comprehensive overview of emerging copyright issues related to generative AI.

Copyright Gen AI

Publishers’ Policies on AI

AI tools are generally not considered authors in academic publishing, and their use must be transparently disclosed according to the respective publisher’s policy.

GenAI in Research Research Ethics

Researcher Connect

Latest trends on research related topics are shared via the Researcher Connect blog, including publication ethics, research tools, and more. Recent posts include:

GenAI in Research Publishing Malpractices

The Libraries welcomes discussion on further support regarding academic integrity. Please don't hesitate to contact us at libis@hku.hk.

Learning and Research Services
The University of Hong Kong Libraries

AI‑Empowered Research Tools Are Available with HKU Access
11/06/2025
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HKU Libraries · Announcement · Nov 2025

AI‑Empowered Research Tools Are Available with HKU Access

Artificial Intelligence (AI) is reshaping the way we learn, teach, and conduct research. HKU Libraries now offers a range of AI‑powered research tools and AI‑enhanced features in subscribed databases to make your research journey smarter, faster, and more insightful, whether you're a novice researcher or an experienced academic.

Primo Research Assistant – Kickstart Your Research

An AI-powered search companion integrated directly into HKU's library catalogue. Get instant summaries, discover related research, and navigate complex academic literature with intelligent recommendations tailored to your research needs.

AI Search Smart Summaries Research Discovery
Explore Primo Research Assistant →

AI Assistant by Scite – Smarter Citations

Go beyond citation counts with Scite's AI Assistant. It provides Smart Citations that indicate whether a paper supports, disputes, or merely mentions another study, enabling you to assess credibility and comprehend scholarly conversations. HKU sign-in is required to keep your chat history.

Citation Analysis Research Verification Smart Citations
Try Scite AI →

Consensus – Trial Access Until 31 August 2026! [New]

Ask research questions in plain language and get evidence-based answers extracted from millions of peer-reviewed papers. Consensus uses AI to synthesize findings across studies, helping you quickly understand scientific consensus on any topic.

Evidence Synthesis Natural Language Trial Access
View Consensus Trial Details →

AI-Enhanced Features in Academic Databases

Academic databases provide more disciplinary-focused resources for researchers. Many of the subscribed databases now include AI-driven functionalities to improve your search experience, from intelligent AI summary of search request and article summary to relevant and reliable article recommendations with analysis.

Smart Search Article Summaries Recommendations
View Full Database List →

Copyright and Gen-AI

This online guide provides an overview of key copyright issues related to generative AI. It addresses key topics, including copyright protection eligibility, infringement liability, the use of copyrighted works for AI training, and considerations for licensing content for AI training. The guide also explores emerging topics such as the proposed Text and Data Mining exception in Hong Kong, the implications of using Creative Commons (CC) licensed works for AI training, and CC Signals, a new Creative Commons initiative that enables content owners to ethically and transparently express their preferences for AI training use.

Copyright Creative Commons Guidelines
View Copyright Guide →

Learn More and Stay Ahead

For more tools, guidelines for citations and copyright issues of using generative AI contents, learning resources and tips on integrating AI into your research workflow, visit our comprehensive AI Literacy guide at https://libguides.lib.hku.hk/AI-literacy.

Ready to Elevate Your Research?

Start exploring these AI tools today and experience the future of academic discovery with HKU Libraries. Transform your research process with intelligent search, automated summaries, and evidence-based insights.

Your feedback matters. Please send us your comments and recommendations at libis@hku.hk.

Learning and Research Services
The University of Hong Kong Libraries

[Limited Offer] Create Like a Pro: HKU’s Canva Pro Scheme for HK$35/Year!
11/05/2025
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[Limited Offer] Create Like a Pro: HKU’s Canva Pro Scheme for HK$35/Year!
University Libraries
 

[Limited Offer] Create Like a Pro:
HKU’s Canva Pro Scheme for HK$35/Year!

RIC Canva

Dear HKU students and staff,

The HKU Libraries is delighted to introduce the “Canva Pro for Campus" scheme, offering a significant discount on a yearly subscription, from 6 November 2025 to 5 November 2026. This initiative is organised by the HKU Rights and Interests Committee (RIC), a non-profit student organisation. Please find the details below.

Messages from the HKU Rights and Interests Committee (RIC)

We are excited to announce a special promotion exclusively for HKU students, staff, and alumni. This Scheme provides a discounted yearly subscription to Canva, giving you access to all features of the Canva Pro plan from 6 November 2025 to 5 November 2026. Canva is an intuitive graphic design platform, perfect for creating a wide range of visual content, including presentations, posters, and much more.

 

Promotion Period

This exclusive offer is available from now until 24 November 2025, 23:59 HKT. Please note, spaces are limited and will be allocated on a first-come, first-served basis.

Eligibility

The discounted rate is exclusively for HKU students, staff and alumni. To qualify, you must sign up for Canva using your HKU email account.

Subscription Price

Enjoy the subscription at just HK$35 per account, valid from 6 November 2025 to 5 November 2026. For reference, the official price for Canva Pro is HK$960 per year.

Accessing the Payment Form

To proceed with your subscription activation, please access the payment details form by clicking on the following link:https://forms.gle/oXQQG5bkc5Sc6SWs6.This form contains all the necessary instructions for completing your payment. Please note that the Rights and Interests Committee (RIC) guarantees that your personal information will not be disclosed to any third party under any circumstances.

About the Rights and Interests Committee (RIC)

The RIC is a non-profit student organisation established in 2010, committed to safeguarding the rights and interests of Mainland students at HKU, supporting their academic journey and daily life. RIC represents a broad student base with over 30,000 online users and actively seeks benefits and opportunities in collaboration with the University.

Canva Pro Features

  • Easy-to-use drag-and-drop editor for presentations, posters, social media posts, photos, videos, and more 
  • Unlimited access to professionally designed templates 
  • Millions of royalty-free resources, including photos, videos, graphics, and audio files 
  • Premium AI-powered tools and features 
  • Efficient team collaboration support 
  • Canva Sheet for intelligent data analysis and visualisation 

How to Activate Your Canva Pro Account

After payment, you will receive an email titled “You have been invited to join a team on Canva” within 24 hours (check your junk or spam folder if necessary). The invitation remains valid for 15 days. 

  1. Open the email and click “Accept Invitation”. 
  2. Select “Continue with email”. 
  3. Enter your HKU email address (the same as used for purchase). 
  4. Fill in your name as requested. 
  5. Enter the verification code sent to your email. 
  6. Your Canva Pro account will then be activated. 

Remarks

  • RIC retains full authority over all subscription matters and reserves all rights. 
  • All after-sales support from RIC will conclude on 6 December 2025. Please ensure any enquiries, personal information changes, or complaints are submitted before this date. 
  • For assistance or issues, including email or personal information updates, contact RIC at riccssaud@gmail.com. 

Supportive Learning Resources

To help you make the most of Canva for academic work, the Libraries encourages you to review previous library training recordings and course materials. These resources are designed to inspire and guide you in creating engaging and impactful academic content with Canva. 

[Workshop] Creative & Professional! Creating Engaging Content with Canva

Looking ahead, a new round of the Productive Series will launch in February and March 2026, introducing additional digital tools for learning and research. Stay tuned for further updates!

Acknowledgement 

We extend our heartfelt gratitude to the student members of the Rights and Interests Committee (RIC) for their invaluable contributions to this discount scheme.  

Disclaimers

Information collected for this scheme is NOT subject to the Privacy Policy of the HKU Libraries. The HKU Libraries shall not be held responsible for any dispute, loss or damage which may arise as a result of using the information provided on this scheme.

 

Best regards,

Learning and Research Services
The University of Hong Kong Libraries
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