Conferences and summits: Big Data from Space conference

Exploring the evolving landscape of space, big data, and emerging technologies. The Big Data from Space (BiDS) conference, co-organised by the Joint Research Centre (JRC) in its scientific aspects, gathers key stakeholders from industry, academia, EU institutions, and government to explore the intersection of space, big data, and emerging technologies. The 2025 edition is open for contributions on all aspects and emerging trends in Big Data. The conference provides a platform to discuss user needs, showcase latest solutions, and outline future development roadmaps.

Call for paper: Researchers and relevant professionals are invited to participate in shaping the event. The deadline for the submission of paper is 2 May 2025 . All interested stakeholders are encouraged to visit the conference website for further details.

Event Details

Date: Monday 29 September 2025, 08:00 - Friday 3 October 2025, 18:00 (CEST)

Location: Riga, Latvia

Languages: English

Core Themes

• Big Data from Space-Driven Transformation in Policy and Society: exploring solutions, analytics, and technologies that influence decision-making processes and societal outcomes.
• Addressing Cross-Earth and Space Domain Challenges: utilizing Big Data from Space to address issues like climate change, security, industrial sustainability, resilience, biodiversity, and health. This theme also explores the synergies between various space domains, such as using space technology for security and vice versa.
• Exploiting Synergies Across Space Technologies: focusing on data processing in Space Science, Navigation, or Telecommunications; challenges in space missions and big data; and new data and methods supporting open science and innovation.
• Digital Policy and Responsible Technology Development: discussing algorithmic governance, open innovation, explainability, trustworthiness, and addressing bias in AI-driven systems. This theme also covers policy frameworks and their impact on services and industry, Green AI, and ethics in technology.
• Cloud-Native and Digital Infrastructures for Big Data: exploring scalable data management, access, processing, and visualization through small, federated, and interactive solutions. Addressing challenges in interoperability, federated learning, data security, privacy, and sustainable computing.
• Advanced Processing Paradigms: covering topics such as multimodal AI, foundation models, data fusion, data assimilation, knowledge extraction, and data valorization. This theme also includes decision analysis for real-world applications.
• Enabling Foresight with New Methodologies and Technologies: investigating digital twins, forecasting, simulation, predictability science, explainable AI, natural language processing, and virtual reality.