BiDS | BIG DATA FROM SPACE 2025
29 September - 3 October 2025 | Riga, Latvia
Follow #BiDS25
Join us for an in-person event in Latvia!
29 - 30 September – University of Latvia: Satellite Events
1 - 3 October – National Library of Latvia: Conference Plenary Sessions & Code Sprint
Don't miss new formats and engaging discussions with the community!
Participation to the conference is free of charge
The official language of the conference is English
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Objectives & Themes
The Big Data from Space 2025 (BiDS) event convenes key stakeholders from industry, academia, EU institutions and governmental entities to explore the evolving landscape of space, big data and related emerging technologies. It serves as a platform to share user needs, showcase the latest technical solutions and applications, and define future development roadmaps. The conference fosters exchange, discussions on cutting-edge research, practical challenges, and transformative innovations to enhance user experience related to Big Data from Space.
Together, we want to explore and learn how space- driven insights and foresight, and synergies between diverse space domains and technologies - Earth Observation, Space Science, Weather, Climate and Planetary Observation, Navigation, Positioning and Telecommunications, Mission Operations and System Engineering - can provide a robust foundation for evidence-informed decision-making. These insights are critical in addressing global societal challenges, including climate change, sustainable competitiveness, and civil security.
Key objectives of BiDS 2025 include:
- Showcasing and investigating the impact of Big Data from Space on society’s grand challenges, such as climate change, as well as key policies at the European and global levels, including the European Green Deal and the UN 2030 Sustainable Development Goals.
- Identifying breakthrough data science technologies that accelerate space-based Big Data insight and foresight, transitioning from research and innovation to operational applications.
- Promoting open science and innovation, interoperability of solutions, and cross- disciplinary collaboration, building on open and FAIR data principles, digital trust, cloud-based technologies, and Data Spaces.
- Discussing the future of space data and technology, identifying next game-changers, technological advancements, and establishing an innovation roadmap to maximize the benefits of space-derived data and technologies.
The 2025 edition of BiDS will not only focus on the technologies enabling insight and foresight from Big Data, but explore how Big Data from Space-driven innovation can enhance competitiveness, support evidence-informed policy, and benefit society and the economy. Today, the accessibility of global, free, and open space and geospatial data is expanding through EU initiatives such as the Copernicus Data Space Ecosystem, Destination Earth (DestinE), the Common European Data Spaces, and the AI Factories, or ESA’s Digital Twin Earth program. Additionally, advancements in Deep Tech, including quantum computing, neuromorphic sensing, and connected computing in space, are paving the way for new disruptive applications. These developments will drive additional value and impact across research, business, and policy domains.
As with past editions, BiDS 2025 is open to contributions covering all aspects of Big Data from Space, including technical developments, applications, and emerging trends. BiDS 2025 will focus on the following core themes:
- Big Data from Space-driven transformation in policy and society: solutions, analytics and technologies that influence decision-making processes and societal outcomes;
- Developments addressing cross-earth and space domain challenges: leveraging Big Data from Space to tackle climate change, security, adaptation, industrial sustainability, resilience, biodiversity, health, interlinkages between all of them and other pressing societal challenges; Exploiting synergies of various space domains, for example exploiting benefits for space for security (i.e. climate security) and security for space (i.e. secure communication).
- Exploiting synergies across space technologies: Data processing in Space Science, Navigation or Telecommunications; Space missions and big data challenges; New data and methods in support of open science and innovation.
- Digital policy and responsible technology development: algorithmic governance, open innovation, explainability, trustworthiness, auditability, and addressing bias in AI-driven systems; Policy frameworks and their impact on services and industry (i.e. the AI Act); AI and technology and ethics, both in space and on Earth; Green AI and computing.
- Cloud-native and digital infrastructures for big data: How big could big data be through small, federated and interactive solutions; scalable data management, access, processing, and visualization; challenges in interoperability, federated learning, provenance, data security, privacy, sustainable computing, and the role of Dataspaces.
- Advanced processing paradigms: Multimodal AI, foundation models, data fusion, data assimilation, knowledge extraction and data valorization, data mining, search engines, incorporating multiple-criteria decision analysis for real-world applications;
- Enabling foresight with new methodologies and technologies: digital twins, forecasting, simulation, predictability science, explainable AI, natural language processing or virtual reality;
- Disruptive technologies shaping the future: Deep tech innovations, including quantum computing, neuromorphic sensing, real-time analysis of big-data streams, structured/unstructured data fusion, or hybrid high-performance computing.