SciTransfer
Organization

LABORATORIO DE INSTRUMENTACAO E FISICA EXPERIMENTAL DE PARTICULAS LIP

Portuguese particle physics lab specializing in detector instrumentation, scientific computing infrastructure, and big data analytics for physics and social science.

Research institutedigitalPT
H2020 projects
17
As coordinator
1
Total EC funding
€4.6M
Unique partners
373
What they do

Their core work

LIP is Portugal's national laboratory for experimental particle physics and detector instrumentation, based in Coimbra. They design, build, and operate particle detectors and scientific instruments for major international experiments — from the Large Hadron Collider to high-energy astrophysics observatories. Beyond hardware, they have built significant capacity in scientific computing, cloud infrastructure, and big data analytics, contributing to the European Open Science Cloud ecosystem. More recently, they have expanded into computational social science, applying data analytics to study misinformation and human behavior online.

Core expertise

What they specialise in

Particle physics detectors and instrumentationprimary
5 projects

Core expertise demonstrated across AIDA-2020 (detector infrastructures), STRONG-2020 (novel particle detectors), aMUSE (muon detectors), YoctoLHC (LHC heavy-ion physics), and AMVA4NewPhysics (LHC data analysis).

European cloud and e-infrastructure servicesprimary
6 projects

Sustained involvement in EOSC and cloud infrastructure through EGI-Engage, INDIGO-DataCloud, DEEP-HybridDataCloud, EOSC-hub, EOSC-synergy, and EGI-ACE — spanning the full 2015-2023 period.

High-energy astrophysicssecondary
2 projects

Participated in both AHEAD (2015-2019) and AHEAD2020 (2020-2024), contributing detectors and optics for X-ray, gamma-ray, and multi-messenger astronomy.

Big data analytics and misinformation researchemerging
1 project

Coordinated the ERC-funded FARE project (EUR 1.5M) on fake news, cognitive biases, and information contagion — their only coordinator role and largest single grant.

High-performance computing trainingsecondary
1 project

Contributed to the EuroHPC EUROCC competence centre as a third party, focused on HPC skills training for industry.

Neutron science instrumentationsecondary
1 project

Participated in SINE2020, contributing to detector technology and instrumentation simulation for the European Spallation Source.

Evolution & trajectory

How they've shifted over time

Early focus
Computing infrastructure and detector R&D
Recent focus
Fundamental QCD and data science applications

In 2015-2018, LIP focused heavily on building Europe's distributed computing and cloud infrastructure (EGI-Engage, INDIGO-DataCloud, EOSC-hub) alongside detector development for neutron and particle physics facilities. From 2019 onward, their physics work shifted toward fundamental QCD research (STRONG-2020, YoctoLHC) and precision muon experiments (aMUSE), while their computing expertise evolved from infrastructure building to advanced computing services (EGI-ACE, EOSC Future). The most striking development is their move into computational social science with the FARE project on misinformation — a significant departure from pure physics that signals growing ambition in applied data science.

LIP is branching out from pure particle physics instrumentation into applied data analytics and social science, suggesting future interest in interdisciplinary projects that combine their computing and data expertise with real-world applications.

Collaboration profile

How they like to work

Role: active_partnerReach: Global46 countries collaborated

LIP operates almost exclusively as a participant (14 of 17 projects), joining large international consortia rather than leading them — their one coordinator role is the ERC grant FARE, which is a personal research grant by nature. With 373 unique partners across 46 countries, they maintain an exceptionally wide network, indicating they are a trusted contributor that many different consortia want on board. Their consistent presence in successive generations of the same infrastructure projects (EGI-Engage → EGI-ACE, AHEAD → AHEAD2020) shows they are a reliable long-term partner.

LIP has collaborated with 373 unique partners across 46 countries, making them one of the most broadly connected research centres in Portugal. Their network spans the major European physics labs, e-infrastructure providers, and astrophysics observatories.

Why partner with them

What sets them apart

LIP occupies a rare dual position: they are both a particle physics instrumentation lab and a significant node in Europe's scientific computing infrastructure. This combination means they can contribute hardware (detectors, sensors) AND the data pipelines to process what those instruments produce. Their pivot into misinformation research with FARE shows an unusual willingness to apply physics-grade data analysis to social problems — a differentiator for interdisciplinary consortia.

Notable projects

Highlights from their portfolio

  • FARE
    LIP's only coordinator role and largest grant (EUR 1.5M ERC Starting Grant) — a bold departure from physics into fake news and cognitive bias research using big data analytics.
  • EOSC-hub
    Central project in building the European Open Science Cloud, where LIP contributed EUR 376K worth of service integration — demonstrating their role as a key e-infrastructure provider.
  • aMUSE
    Represents LIP's frontier physics work on the muon anomalous magnetic moment — one of the most watched measurements in particle physics for signs of new physics beyond the Standard Model.
Cross-sector capabilities
space and astrophysics (detector and optics expertise from AHEAD projects)society and misinformation (big data analytics applied to human behavior from FARE)research infrastructure operations (cloud, HPC, federated computing from EOSC ecosystem)nuclear and fundamental physics instrumentation
Analysis note: Strong data coverage with 17 projects spanning 7 years. Some early projects (EGI-Engage, INDIGO-DataCloud, DEEP-HybridDataCloud) lack keyword data, so the computing infrastructure expertise is inferred from project titles and descriptions rather than explicit keywords. The FARE project's social science focus is well-documented but represents only one project — the depth of this capability versus it being a single PI's ERC grant should be verified.