The nomination deadline for the Tu Youyou Award is approaching. Researchers are encouraged to submit nominations by 31 October 2026 (UTC-12).
The Tu Youyou Award recognizes outstanding researchers whose work has made significant contributions to natural products chemistry and medicinal chemistry, advancing scientific innovation and human health. It is named after Nobel laureate Tu Youyou, whose discovery of artemisinin has saved millions of lives.
The current award committee is chaired by Prof. Dr. William Gerwick, a Distinguished Professor at the University of California San Diego, USA, and a renowned expert in marine natural products chemistry and pharmacology. Under his leadership, the committee will evaluate nominations and recognize impactful research achievements in the related fields.
Prize:
The monetary prize will be shared equally should there be multiple recipients.
Who may be nominated?
Nominees must be individuals; team or group nominations are not permitted. Nominations are valid only for the current award cycle.
Who may submit a nomination?
Self-nominations will not be considered.
Nomination materials:
How to submit?
Submit your nomination by 31 October 2026 via: https://tuyouyouprize.org/nomination/form.
For further information, please visit the Tu Youyou Award website. For any inquiries, please contact the Tu Youyou Award Team at tuyouyouaward@mdpi.com.
MDPI will be attending the 27th International Conference on Intelligent Data Engineering and Automated Learning (IDEAL 2026), to be held in Manchester, UK, from 19 to 21 November 2026. As a leading international forum for intelligent data engineering and automated learning, the conference brings together researchers, academics, and industry practitioners to exchange ideas and share the latest advances in artificial intelligence, machine learning, and data science.
IDEAL 2026 provides a premier platform for knowledge exchange and collaboration, covering both theoretical foundations and practical applications. The conference attracts leading researchers, scientists, and professionals from around the world, offering an opportunity to explore how cutting-edge research and technological innovation can address real-world challenges in data-driven intelligent systems.
The key technical and scientific program themes include the following:
The following MDPI journals will be represented at the conference:
We cordially invite all attendees, authors, and reviewers to visit our team at the MDPI booth during the exhibition. Our representatives will be available to answer your questions, discuss potential publishing collaborations, and share more about our latest journal developments and open access initiatives in the fields of artificial intelligence, data science, and intelligent systems.
We look forward to meeting you in Manchester.

MDPI was pleased to partner with the Faculty of Engineering, Chiang Mai University, on 26 August 2026 for an Academic Publishing Workshop dedicated to strengthening participants’ knowledge and practical skills in academic publishing. The event brought together researchers, academic staff, and students and was officially opened by Asst. Prof. Dr. Chatchawan Chaichana, who welcomed the MDPI speaker team and participants.

In the opening remarks, the Chair, Asst. Prof. Dr. Chatchawan Chaichana, Vice Dean of the Faculty of Engineering, Chiang Mai University, welcomed the MDPI team to the university and thanked the team for organizing the Academic Publishing Workshop. The Chair highlighted the relevance of the workshop topics, which covered academic paper writing, responding to reviewers, and the use of AI in academic writing. The Chair expressed hope that the students and participants would benefit from the knowledge and practical insights shared throughout the workshop.

The first session was delivered by Dr. Siriporn Tantiwatcharothai, Regional Engagement Editor at the MDPI Bangkok Office. She introduced MDPI, highlighting that 42 MDPI journals are currently ranked Tier 1 in Scopus, many of which align with the faculty’s research interests. She also presented recent trends in open access publishing and an overview of the faculty’s publication profile. As the workshop was co-organized with Informatics (ISSN 2227-9709), she introduced the journal, its scope in information and communication technologies and interdisciplinary research, its indexing in Scopus and ESCI (Web of Science), and its current rankings of JCR Q2 in the “Computer Science, Interdisciplinary Applications” category, and CiteScore Q1 in the “Communication” category.

The second session, “How to Write Scientific Papers”, was delivered by Dr. Juthathip Poofery, Editorial Team Leader and Regional Engagement Editor. The session provided practical guidance for graduate students on developing a well-structured scientific manuscript, including organizing key manuscript sections, presenting research clearly, and improving the overall quality and readability of academic writing. Key aspects of manuscript preparation and publication ethics were also discussed. As the audience included both Thai and international graduate students, participants were encouraged to ask questions in either Thai or English, creating an open and interactive discussion. Participants were particularly interested in the acceptable similarity rate for manuscripts and the appropriate use of Sustainable Development Goals (SDG)-related keywords to help communicate the relevance and broader impact of their research.

The third session, titled “How to Respond to Peer Reviewers”, was presented by Ms. Hathaipat Kittirojana, a Regional Engagement Editor. She discussed the peer-review process at MDPI and guided through how to revise the manuscript professionally. This session also included the key tips of revision preparations and how we can organize a response in an effective way. In conclusion, she encouraged the audience to remain positive, open-minded, and professional when replying to reviewers.

The closing session, “Artificial Intelligence (AI) in Scientific Publishing”, was presented by Ms. Ploy Assavajamroon, Regional Engagement Editor at MDPI’s Bangkok office. Tailored to an engineering audience, the session explored how generative AI and large language models are increasingly used in research, while addressing the risks of over-reliance on such tools. Ms. Assavajamroon encouraged attendees to maintain academic integrity and be transparent about AI use in their work, in line with COPE guidelines and MDPI’s publishing policies. The session also featured a demonstration of MDPI’s AI-powered editorial solutions aimed at improving the publishing experience for researchers and editors alike. The Q&A session prompted a discussion on MDPI’s AI detection approach, where it was clarified that rather than a fixed percentage threshold, MDPI uses a multi-layered qualitative method. Detection tools serve as early warning systems, and any concerns are first discussed with the authors before further action is taken.

The workshop provided participants with practical insights into different stages of scientific publishing, from learning about MDPI and its journals to preparing scientific manuscripts, responding effectively to peer reviewers, and understanding the growing role of artificial intelligence in scholarly publishing. Through knowledge sharing and interaction with the MDPI team, the event helped participants deepen their understanding of the publication process and develop practical skills for their future research and publishing activities.