UK Evening Symposium: Knowledge Discovery and Data Mining - May 14th 2025

 UK Symposium on Knowledge Discovery and Data Mining 2025

Wednesday May 14th 2025 from 6 p.m. to 7.30 p.m.

Location

This will be a virtual event using the Zoom video-conferencing platform. 

Outline Programme

6.00 p.m. (UK time): 'Arrival' and Introduction

Chair: Prof. Max Bramer (SGAI)

6.10 p.m. to 6.40 p.m.

Prof. Dr. Anna Fensel (Professor of Artificial Intelligence and Data Science, Wageningen University, The Netherlands) BIO

Knowledge graphs, FAIR principles and generative AI for scientific discoveries in agri-food

6.40 p.m. to 6.50 p.m. Discussion and Questions

6.50 p.m. to 7.20 p.m.

Dr. Anelia Kurteva (Assistant Professor of Computer Science, University of Birmingham, UK) BIO

Responsible AI through responsible data management and governance enabled by knowledge graphs

7.20 p.m. to 7.30 p.m. Discussion and Questions

7.30 p.m. Close

Please see links, e.g. 'programme' at: http://ukkdd.org.uk/2025/

My source: BCS-SGAI list

HC@AIxIA AI&Health May Seminar: 'Building Trustworthy AI for Health'

Dear Madam/Sir,

This is to officially announce the MAY 2025 seminar of the "AI & Health: Seminars 2025" series as hosted by HC@AIxIA, i.e., the "Artificial Intelligence for Healthcare" working group of the Italian Association for Artificial Intelligence.

*** Save the date: 12 MAY 2025. 3:30 CET ***

We hope you will attend and participate in the discussion on the relevant topics that will be presented and by our speakers. Feel free to share this with those potentially interested.

Link for participating: https://bit.ly/hc-2025-05 (PLEASE CHECK the site https://aixia.it/en/gruppi/hc/ for any changes or updates) - Please find some details below, and a poster attached.

== May 2025 seminar ==
2025 May 12 - 3:30PM CET

Prof. Barbara Di Camillo, Department of Information Engineering, University of Padova, Italy

Title: Building Trustworthy AI for Health: Robust and Generalizable Models with a Focus on Challenging Cases

Abstract: To make artificial intelligence useful in real clinical settings, it is crucial that AI tools follow the principles of trustworthy AI. This means ensuring the accuracy and reliability of the results, defining the areas where the results are valid, and making sure the predictions are understandable. This approach ensures that humans remain at the center of the decision-making process. BRAINTEASER (https://brainteaser.health/) is a data science project that uses artificial intelligence to help patients with amyotrophic lateral sclerosis (ALS) and multiple sclerosis (MS), along with their doctors. In the presentation, I will show how, during the development of the machine learning methods within the project, we took into account the robustness and generalizability of the model, and how we identified and characterized the subjects for whom making predictions is more challenging.

Short Bio: Barbara Di Camillo is full professor in computer science with the Department of Information Engineering, University of Padova. Her research activity is centered in the development and application of advanced modeling, data mining and machine learning methods for high-throughput biological data analysis in the field of Bioinformatics and Systems Biology. In particular, she has developed and applied different methods for robust biomarker discovery, predictive modeling and clustering of clinical data and next generation sequencing data. She has also a great expertise in the development and application of differential equation based models, Boolean and Bayesian Networks for modeling the relationships between the variables and the pathways along which they influence the disease progression.

Flyer: https://drive.google.com/open?id=15badJ0Nfj8lrA0gZdFc9aOGeR3pelms-&usp=drive_fs

====

Some notes
Serving as coordinators of the working group on AI for Healthcare of the Italian Association of Artificial Intelligence (AIxIA, see: https://aixia.it/en/gruppi/hc/), part of our commitment consists of fostering contamination and collaboration between AI researchers and experts and operators in Medicine and Healthcare; in particular, we aim to contribute in building a two-way road for informing healthcare operators about AI results and opportunities, while also raising awareness among AI researchers about challenges and problems in medicine and healthcare.
Therefore, the 2025 seminar series, in the trail of the 2024 edition, will feature a number of experts presenting research results, projects, best practices, ideas, and more to a mixed audience of AI researchers and healthcare operators.

Thank you for your interest in the AI & Health seminar series and the HC@AIxIA working group, and see you soon!

Sincerely,
Francesco Calimeri, Mauro Dragoni, Fabio Stella
(coordinators of the HC@AIxIA working group)

Artificial Intelligence and Data Science for Society and the Public Good: Technologies, Applications, and Governance

Dear CHAIN member,

CHAIN member Laura Brookes would like to draw your attention to the following free event.
Please pass on as appropriate. Thank you.

Artificial Intelligence and Data Science for Society and the Public Good:

Technologies, Applications, and Governance

2nd May 2023 - 3rd May 2023
Wivenhoe House Hotel

University of Essex, Park Road, Wivenhoe, Colchester, Essex, CO4 3SQ

Book your tickets now

Join us as we bring together the brightest minds in data science and AI to showcase the power of data in action for public good and business applications.

Two days of fascinating talks at the prestigious Wivenhoe House Hotel will include interactive workshops, case study presentations to share best practice and an opportunity to form new partnerships across academia, the public sector and industry for more high-impact projects moving forward.

This workshop aims to explore the development and deployment of AI and data science methods in government and the wider public sector, but also businesses and charities. This includes the use of such methods to support the development and implementation of policy and delivering improved services to citizens at the regional and national level, whilst we simultaneously tackle global challenges and the delivery of the sustainable development goals (SDGs).

This workshop is for those inspired to make a difference and for those ready to embrace the revolutionising potential of data science and AI to improve society for all. A cross/interdisciplinary workshop, this event is aimed at researchers, policymakers, practitioners and professionals already working in or interested in exploring this area.

Further information

Complimentary refreshments will be available on both workshop days including a networking lunch.

Guests are welcome to use the free onsite parking for the workshop. Delegates are also eligible for discounts on accommodation at the Wivenhoe House Hotel should they wish to stay overnight. To receive your discount code please contact me directly.

Further information about the event and full agenda can be found on Eventbrite:

https://AIandDataScienceforPublicGood.eventbrite.co.uk

We hope you can join us for this exciting workshop. Please feel free to contact if you wish to discuss any aspect further.

Equally, you are welcome to share this invitation with colleagues and those within your network. ‘

Laura Brookes

Outreach and Publicity Officer
ESRC Business and Local Government Data Research Centre
. . .

Regards,

Wendy Zhou
CHAIN Manager
[ I did attend, and spent the 1st May in Cambridge. PJ ].