The 2023 edition of BiDS will focus not only on the technologies enabling insight and foresight inferable from big data, but will emphasize how these technologies impact society.

The conference and satellite events will focus around seven themes:

; Big data-driven transformation in policy and society: solutions, analytics and technologies capable of impacting society or decision-making processes;

; Cross-domain applications exploiting big data from Space to tackle global issues and societal threats such as climate change, sustainability, security, smart cities, or public health;

; Ethics, equity and trust in Big Data driven policies: responsible technology design and assessment, open innovation, algorithmic governance and development of solutions that are explainable, trustworthy, auditable, interpretable and able to cope with intrinsic bias;

;Cloud-native and digital innovation for big data management, access, processing, and visualization, including related scalability and interoperability challenges, as well as federated learning, multi-provenance data, security, privacy and green and sustainable computing.

;New processing paradigms exploiting multi-source data applicable to real-world scenarios, including multimodal Artificial Intelligence (AI), AI foundation models, data fusion, data assimilation, knowledge extraction and data valorisation, incorporating multiple-criteria decision analysis;

;New methods and technologies for enabling foresight such as digital twins, forecasting, simulation, physics-informed AI, explainable AI, advanced interactivity such as natural language processing AI models or virtual reality;

;Disruptive technologies addressing critical aspects such as real-time analysis of big-data streams, fusion of unstructured and structured data, hybrid high-performance computing, neuromorphic sensing or processing, and quantum computing.

If you are a practitioner, researcher or educator, you can have the opportunity to present and discuss the most recent innovations and practical challenges in the context of Big Data from Space.