AusDM 2025 : Australasian Data Science and Machine Learning Conference Brisbane, Australia
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| Event Date: | November 26, 2025 - November 28, 2025 |
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| Abstract Submission Deadline: | August 03, 2025 |
| Submission Deadline: | August 10, 2025 |
| Notification of Acceptance: | September 07, 2025 |
| Camera Ready Version Due: | September 21, 2025 |
Categories |
AI AND ML
DATA SCIENCE
DATA ENGINEERING
DATA ANALYTICS
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Call for Papers |
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AusDM25 Call For Papers
The Australasian Data Science and Machine Learning Conference (AusDM)—formerly the Australasian Data Mining Conference—has become the leading regional forum for both researchers and practitioners in Data Science and Machine Learning, including areas such as Data Mining, Data Analytics, Deep Learning, Natural Language Processing, and Generative AI. As these interdisciplinary fields continue to evolve, AusDM remains committed to advancing the development and application of intelligent algorithms capable of learning from large-scale, complex data. The conference plays a vital role in sharing progress and fostering collaboration within the Australasian data science community, while also showcasing breakthroughs with global relevance. Since its inception in 2002, AusDM has provided a platform for the presentation, discussion, and dissemination of advances in algorithms, systems, software, and real-world applications. AusDM 2025 will build on this tradition by encouraging cross-disciplinary exchange of ideas, practical experiences, and future research directions. This year’s conference will highlight: · Research prototypes · Industry case studies · Innovative technologies · Research student projects AusDM’25 aims to be a dynamic meeting point for advancing the frontiers of Data Science and Machine Learning in both academia and industry. The program will feature keynote talks, panel sessions, paper presentations, workshops and tutorials, a doctoral consortium, and networking events, ensuring a rich and engaging experience for all participants. ===Submissions=== The proceedings of AusDM’25 will be published by Springer in the Communications in Computer and Information Science (CCIS) series and will be made available via SpringerLink. We invite two types of submissions for AusDM’25, from both academia and industry, reporting on novel research, practical implementations, and real-world experiences in Data Science, Machine Learning, and Artificial Intelligence: · Research Track: Submissions reporting on novel algorithms, models, or theories; foundational or empirical research; and methodological advances, · Application Track: Submissions reporting on authentic and practical implementations and case studies; industry or government deployments; and lessons learned, impacts, and domain-specific innovations. We also invite submissions from industry and government authors who wish to only showcase their work without publication, they may choose to submit a 1-page extended abstract for presentation only in this track. However, to be included in the proceedings, full paper submission is required. Manuscripts should be with a paper length of maximum 15 pages in Springer CCIS style, as detailed on the conference website. All submissions (except 1-page presentations) will undergo a double-blind peer review. Authors must ensure that: · Papers do not include names, affiliations, or acknowledgments of funding bodies. · Self-citations are anonymized or removed for review purposes. · Identifying information may be added back into the final camera-ready version of accepted papers. ===Ethical and Inclusive Research=== AusDM’25 upholds the principles of Diversity, Equity, and Inclusion (DEI). We encourage authors to: · Avoid language or examples that reinforce marginalization or stereotypes. · Be respectful and inclusive in how research is framed and presented. ===Use of Generative AI (e.g., LLMs)=== If Generative AI tools (such as ChatGPT or others) are used in preparing the submission, authors must: · Clearly disclose how these tools were used (e.g., for writing, data processing, visualisation, experimentation, etc.). · Ensure the accuracy, originality, and correctness of all content generated. · Maintain full responsibility for the integrity of the submission. ===Journal Special Issue=== A selected number of best papers will be invited for a submission to AusDM Special Issue in a Scimago ranked journal. ===Important Dates (AEST, 11.59pm)==== Abstract submission: 3 Aug 25 Paper submission: 10 Aug 25 Paper notification: 7 Sept 25 Camera-ready: 21 Sept 25 Author Registration: 21 Sept 25 Conference dates: 26 to 28 Nov 25 |
Summary |
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AusDM 2025 : Australasian Data Science and Machine Learning Conference will take place in Brisbane, Australia. It’s a 3 days event starting on Nov 26, 2025 (Wednesday) and will be winded up on Nov 28, 2025 (Friday). AusDM 2025 falls under the following areas: AI AND ML, DATA SCIENCE, DATA ENGINEERING, DATA ANALYTICS, etc. Submissions for this Conference can be made by Aug 10, 2025. Authors can expect the result of submission by Sep 7, 2025. Upon acceptance, authors should submit the final version of the manuscript on or before Sep 21, 2025 to the official website of the Conference. Please check the official event website for possible changes before you make any travelling arrangements. Generally, events are strict with their deadlines. It is advisable to check the official website for all the deadlines. Other Details of the AusDM 2025
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Credits and Sources |
| [1] AusDM 2025 : Australasian Data Science and Machine Learning Conference |








