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COLOURS is a 2-week event aimed at ensuing that early-career researchers (ECR) are prepared to make the most of Stage-IV cosmological survey data. The first week of the event (02/06/25-06/06/25) will be a 5-day summer school aimed at improving both technical (software development, machine learning, statistics) and soft skills (academic writing, transferable skills). Site visits and social activities will also be organised. The second week (10/06/25-13/06/25) will be a 4-day workshop with invited speakers. The aim will be to review key lessons learned in the analysis of Stage-III data and the scientific aspirations of on-going and upcoming Stage-IV surveys.

Organiser;     Email: samuel.farrens@cea.fr

Cosmology, machine learning, software development, academic writing, transferable skills

MIPRO Croatian Society

The DS-BE conference aims to showcase new research and advancements in computational methods, tools, and applications related to Data Science and Biomedical Engineering. We invite high-quality, original research papers highlighting theoretical and practical innovations in these areas, expecting interdisciplinary approaches promoting scalable solutions for real-world challenges. The conference focuses on hardware and software solutions designed to address specific domain-related challenges related to various domains in science and industry. Additionally, it encompasses broader research initiatives that provide generalizable approaches across data-driven disciplines.

Karolj Skala - conference chair;     Tel.: [+38551423984];     Email: skala@irb.hr

Machine Learning and Deep Learning, Complex Networks: Structure, Behavior, and Dynamics, Knowledge Discovery and Interpretability, Data Science Methods, Tools and Platforms, Big Data Analysis and Visualization, Service Applications Based on Cloud, Fog, and/or Dew Computing, Interpretable and Explainable Machine Learning, Expert Systems and Knowledge-Based Systems, Knowledge Representation and Management, Natural Language Processing and Text Mining, Ethical AI, Data Science in Computational Biology and Medicine, Biological Network Analysis, Drug Target Identification and Validation, Medical and Biological Image Analysis, Analysis and Visualization of Biological and Clinical Data, Bioinformatics and Medical Applications, Advanced Bio-Signal Processing and Interpretation, Monitoring of Vital Functions with Sensor and ICT Systems, Wearable Sensors and Networks in Distributed Systems, Telehealth, Telecare, Telemonitoring, and Telediagnostics, Social Networking, Computing, and Education for Health, Internet of Things (IoT) for mHealth, Data Models and Representations for mHealth, Information Fusion of Biomedical Data, Biomedical Scientific Databases

Genomforschung und Bioinformatik,    Neuronale Netze und Künstliche Intelligenz, Maschinelles Lernen

Institute for Computational and Experimental Research in Mathematics, Brown University, Providence, RI (ICERM)

Summer@ICERM is a residential undergraduate research program hosted at the Institute for Computational and Experimental Research in Mathematics at Brown University. Led by experienced faculty and graduate student teaching assistants, participating undergrads will spend seven weeks learning how to collaborate, engage in data science, and conduct research as a team. The goal of Summer@ICERM 2025: Building Useful Insights from Local Data through Sustainable partnerships (BUILDS) is to introduce students with limited experience to the field of data science through projects related to issues such as global food systems, food production, and food security.

Kurse und Veranstaltungen für Studenten der Mathematik,    Öffentliche Vorträge und Öffentlichkeitsarbeit

Data for Policy CIC & Leiden University

Data for Policy envisions a future where data-driven technologies shape a more equitable and informed world. At the forefront of this vision is the concept of twin transitions—digital and green transformations—that form the heart of the 2025 conference theme, “Twin Transitions in Data and Policy for a Sustainable and Inclusive Future”. This theme emphasizes how data-driven strategies can address complex issues like environmental impact and social equity.

Community Manager;     Email: communications@dataforpolicy.org

Twin Transitions, Data Policy, Data Science, Artificial Intelligence, Digital Transition, Digital Inovation, AI Governance

Politikwissenschaft,    Neuronale Netze und Künstliche Intelligenz, Maschinelles Lernen

European Molecular Biology Organization (EMBO)

Bayes Business School, University of London

The conference brings together academics and practitioners in areas including data science, analytics, machine learning, artificial intelligence and InsurTech, as applied in the insurance industry.

Email: https://insurancedatascience.org/

Semmelweis University Institute of Biostatistics and Network Science

Join us for the BIOMEDICAL DATA SCIENCE Summer School & Conference – two interconnected events where students receive intensive training in health data science (July 28 – August 5), followed by a scientific conference to share cutting-edge work in data-intensive biological and medical research (August 6 - 8).

Email: biostat@semmelweis.hu

Machine learning and AI applications in biomedical research Multi-omics data integration and analysis Medical imaging and computer vision in healthcare Natural language processing for clinical and biomedical texts Explainable AI and trustworthy machine learning in medicine Computational modeling of biological systems Wearable and sensor-based health data analytics Privacy-preserving techniques for biomedical data Digital health and personalized medicine Drug discovery and biomarker identification through data science Network science tools in biomedical research Causal inference in biomedical research Biostatistical approaches for biomedical data analysis

Algorithmen und Datenstrukturen,    Klinisches Datenmanagement, E-Health

ICAS - University of Catania, Italy

IAISS 2025 is a full-immersion 5-day Summer School in Tuscany on cutting-edge advances in AI and Generative AI with lectures delivered by world-renowned experts. 

Event Secretariat;     Email: iaiss@icas.cc

Artificial Intelligence, Generative Artificial Intelligence, Large Language Models, Foundation Models, Deep Learning, Machine Learning

Neuronale Netze und Künstliche Intelligenz, Maschinelles Lernen,    Verarbeitung Natürlicher Sprache, Computerlinguistik

South African AI Association

Back for its 8th edition, AI Expo Africa is the largest Enterprise AI trade event and conference in Africa. AI Expo Africa 2025 will run 29-31st Oct 2025 in Johannesburg South Africa at the prestigious Sandton Convention Centre, uniting 2500 decision makers, investors, buyers, suppliers, innovators, SMMEs and global brands. This year it will also be joined by the inaugural UN ITU AI4Good Impact Africa Summit focused on how AI can be used to solve the UN SDGs.

Event Manager;     Email: enquiries@aiexpoafrica.com

Machine / Deep Learning Business Solutions RPA / Intelligent Process Automation CX / UX / Chatbots / Conversational AI Avatars / Agents / Autonomous Enterprise Platform AI / NLP / LLMs / SLMs Creative Media / Generative AI Big Data / Data Ops / Analytics Cloud / Data Centre / Storage / Super Computing ML Ops / Frameworks AI in Security & DevSecOps IoT / Mobile / Edge AI Smart Devices / Hardware Autonomous Systems / Industrial Robots AR VR / Mixed Reality / Metaverse / Web3 Training / Education & Skills Women in AI Applied University R&D AI4Good / Ethics / Privacy / Standards Regulation / Policy / Responsible AI Smart Cities / Smart Society & Smart Citizen National AI Strategies / Community Building / Investing

Implementierung und Anwendungen von künstlicher Intelligenz,    Neuronale Netze und Künstliche Intelligenz, Maschinelles Lernen

This workshop, sponsored by AIM and the NSF, will bring together researchers from across the mathematical sciences to apply a broad range of mathematical, statistical, and data science tools to study the mathematical sciences community. The workshop will include both researchers currently working in this area, as well as researchers new to the field interested in applying their expertise to this area.

Developing MetaMath as an example of using mathematical, statistical, and computational methods to investigate the mathematical sciences community itself. Catalyzing research collaborations aimed at using data to answer questions about the mathematical sciences community. Exploring the variety of mathematical, statistical, and data science techniques that can be applied to gain insight into the systems and structure of the mathematical sciences community.

Allgemeine wissenschaftliche Mathematik und fachübergreifende Veranstaltungen,    Angewandte Mathematik (allgem.)