OUR OBJECTIVES

Data-driven Decisions Culture

A data-driven culture, which aims to use existing or create new measurements and embed them in a decision-making framework that entails a quantification of both uncertainty as well as expected outcomes, motivates an organization by allowing a transparent, fact-based decision-making process. 

Innovation Management

Large organizations tend to be risk-averse, which can negatively impact their ability to innovate. Organizations that do not innovate are eventually displaced, especially in dynamic high-technology and knowledge-intensive areas.

Empowering of Individuals

Traditional management emphasizes gut-instinct decisions by high-level management in a hierarchical top-down approach. This is contrary to recent trends in leadership, which indicate that knowledge-intensive organizations benefit from empowering skilled individuals.

Knowledge Management

ESA’s mission mandates a strong reliance on external, temporary workforce to support geo-return. Without maintaining internal capabilities, the efficient management of such a workforce becomes impossible.

Data Access

A key requirement from our community is the ability to access space science mission data through an interface that allows to execute scientific analyses without a need to move data to a client device.

Quality Control

There is a need to enforce policies to ensure compliance with ESA standards and to improve utilization of data for scientific and operational use-cases.

OUR STRATEGY

Creating a collaborative science platform - ESA Datalabs

ESA Datalabs aims to provide seamless access to space science mission data through an integrated platform that supports collaborative research, standardized tools, and reproducible results, ultimately maximizing scientific output from data-intensive missions.

Enhancing AI skills

Our strategy centers on enhancing AI education and skills through accessible tools, resources, and collaborative workshops, enabling users to develop expertise and advance AI knowledge collectively.

Building a community

Building a vibrant community within ESA Datalabs focuses on fostering collaboration through initiatives like the Space Science ML Community and a dedicated NLP working group, enabling interdisciplinary teamwork and knowledge-sharing to drive innovation in space science.

Establishing a culture

Our strategy’s final step is to build a culture that prioritizes data-driven decision-making, values technical expertise, and encourages innovation, supported by transparency, collaboration, agility, and excellence—fostering an empowered environment that advances our mission in space science.