Research

Research without barriers

Research thrives on freedom, collaboration, and intelligent tools, yet progress often stalls because of outdated infrastructure, isolated workflows, and limited access to knowledge or resources. LILY removes these barriers and introduces a new quality of scientific work that is open, interdisciplinary, and future oriented.

Platform strengths at a glance

Open data and project management

Projects and datasets are shared from the very first day. Duplicate work is avoided and genuine collaboration becomes possible, while each discipline keeps full control over its own methods through self contained modules.

Modular evaluation library

A growing collection of reusable analysis and visualisation blocks serves many fields, from physics to sociology. Researchers assemble complete pipelines in minutes and focus on the scientific questions rather than on coding.

Accessibility for non technical domains

Humanities and social science teams use the same platform without writing a single line of code. Abstracted models hide complexity and let scholars explore advanced analytics with ease.

Shared resources for demanding experiments

State-of-the-art hardware, whether quantum processors, high-throughput sequencers or remotely operated lab robots, is fully integrated into LILY's secured environment. Once a device or cluster is registered, authorised projects anywhere on the network can request runtime on it or collaborate with the hosting university exactly as if the equipment were on their own site. The platform handles identity management, data routing and load balancing, so a spectroscopy unit at one institution, a cryo-EM microscope at another and an industrial HPC cluster at a third can all merge into the same cross-institution workflow. Existing investments remain valuable because local data centres and on-premise instruments appear as first-class resources alongside cloud capacity, ready to be shared, monitored and billed per project.

Transparency for funders

LILY offers real time dashboards that provide funders with an instant view of every active project. The display shows how far each work package has progressed, lists the analysis modules currently running, and records the exact number of compute minutes or laboratory hours used. Because these three elements (progress, methodology, and resource use) appear together in one place, evaluation becomes as simple as consulting the dashboard instead of gathering separate status reports. Continuous visibility of this kind builds trust, since funders can monitor developments at any moment and confirm that resources are being directed where they create the greatest value.

Platform based innovation research

LILY is not only a service provider but also an active research environment. Together with partners such as KIT, Goethe University, TU Berlin and TU Greifswald, the platform develops and publishes new technologies including quantum machine learning, hyperdimensional computing, AI assisted protein design, and abstract data representations. Every newly validated method appears as another reusable module for the community.

Student participation made simple

Students obtain direct access to powerful tools for theses and course projects. Automated forums and guided workflows foster independent research and encourage early publication of results.

Concrete support for modern research

A European research ecosystem reimagined

By publishing project plans and data from the outset, LILY turns isolated efforts into a connected landscape where synergies emerge naturally. Researchers see what others are building, avoid redundant paths, and accelerate collective progress.

Interdisciplinary work without technical hurdles

Computer scientists, social scientists, medical teams, and cultural researchers collaborate on equal terms. They load a suitable model, adjust a few parameters, and obtain results without diving into infrastructure details.

Shared resources achieve more together

Expensive hardware is no longer tied to single institutes. A quantum experiment in one city can run on a processor located elsewhere, while laboratory equipment in another partner facility feeds data into the same workflow.

Growing talent through active participation

Bachelor and master candidates explore genuine datasets with tools used by senior scientists. They discuss findings in integrated forums and contribute to larger projects, gaining experience that would previously have required dedicated lab time.

Clear value for third party funding

Sponsors view usage statistics, milestones, and deliverables at any moment. Funding decisions speed up because evidence of responsible resource management is always available.

Innovation cycles that reinforce themselves

Each breakthrough on the platform turns into a new module that others can apply. Research thus generates additional research potential, forming a virtuous circle that keeps the ecosystem advancing.