SciTransfer
Organization

NATURHISTORISKA RIKSMUSEET

Sweden's national natural history museum combining centuries-old specimen collections with computational evolutionary biology and pan-European digital collection infrastructure.

Research instituteenvironmentSENo active H2020 projects
H2020 projects
7
As coordinator
4
Total EC funding
€1.7M
Unique partners
65
What they do

Their core work

The Swedish Museum of Natural History (Naturhistoriska riksmuseet) is Sweden's premier institution for natural science collections, housing millions of biological and geological specimens used for research in evolutionary biology, systematics, and Earth history. Their research teams work on phylogenetics, ancient DNA analysis, and population genomics to understand how species evolved and responded to past climate changes. They also play a key role in building Europe's digital infrastructure for scientific collections, contributing to the DiSSCo and SYNTHESYS networks that make natural history data accessible across borders. Their computational work applies Bayesian statistics and probabilistic programming to solve hard problems in evolutionary inference.

Core expertise

What they specialise in

Evolutionary biology and ancient DNAprimary
3 projects

SURVIVOR studied carnivore response to climate change, Evolution used ancient biomolecules for extinction research, and PhyPPL developed statistical methods for phylogenetics.

Computational phylogenetics and probabilistic programmingsecondary
1 project

PhyPPL pioneered the application of probabilistic programming languages to statistical phylogenetics, combining AI techniques with evolutionary theory.

Impact crater geochronologysecondary
1 project

Crater Chron investigated Earth's impact cratering history using advanced geochronological methods.

Evolution & trajectory

How they've shifted over time

Early focus
Biosystematics and Earth sciences
Recent focus
Digital collections infrastructure and computational evolution

In the early H2020 period (2015–2018), the museum focused on training-oriented research in insect biosystematics (BIG4) and individual fellowship projects in evolutionary biology and geology. From 2019 onward, a clear shift emerged toward large-scale digital infrastructure for scientific collections (SYNTHESYS PLUS, DiSSCo Prepare) alongside computationally advanced evolutionary research using probabilistic programming and ancient DNA. This evolution reflects a museum transitioning from specimen-based research toward becoming a node in Europe's distributed digital research infrastructure.

Moving toward computational biology methods and pan-European digital infrastructure for natural history collections — expect future involvement in ESFRI roadmap projects and AI-driven biodiversity informatics.

Collaboration profile

How they like to work

Role: consortium_leaderReach: European29 countries collaborated

Despite being a mid-sized research institution, they coordinate more often than they participate (4 coordinated vs 3 as participant), showing confidence in leading research agendas — particularly in fellowship-scale projects. Their 65 unique partners across 29 countries indicate a broad European network rather than a tight cluster of repeat collaborators. They are comfortable both leading focused MSCA fellowships and contributing to massive infrastructure consortia like DiSSCo.

A well-connected institution with 65 unique partners spanning 29 countries, reflecting deep integration into Europe's natural history research community. Their network breadth comes from participation in large infrastructure projects (SYNTHESYS PLUS, DiSSCo) that link natural history museums and collections across the continent.

Why partner with them

What sets them apart

As one of Europe's major natural history museums, they sit at the intersection of physical specimen collections and digital research infrastructure — a combination few institutions can match. Their PhyPPL project demonstrates unusual computational sophistication for a museum, applying probabilistic programming and AI to evolutionary biology. For consortium builders, they offer both domain expertise in biodiversity science and access to irreplaceable specimen collections spanning centuries.

Notable projects

Highlights from their portfolio

  • PhyPPL
    Unusually computational for a natural history museum — applied probabilistic programming and AI to phylogenetics, signaling the museum's move toward advanced computational methods.
  • SYNTHESYS PLUS
    Part of the major European effort to unify access to natural science collections, with the museum's largest single funding allocation (EUR 375,609).
  • BIG4
    Largest EC contribution (EUR 527,319) and a training network addressing the four biggest insect groups — connecting systematics, genetics, and informatics.
Cross-sector capabilities
digital (biodiversity informatics and data infrastructure)health (ancient DNA and genomics techniques transferable to pathogen evolution)society (natural history collections as cultural and educational heritage)food (insect biosystematics relevant to agricultural pest management)
Analysis note: Seven projects provide a solid profile, though keyword data is missing for the three earliest projects (BIG4, SURVIVOR, Crater Chron), which limits the early-vs-recent evolution analysis. The institution's full research breadth likely extends well beyond what H2020 participation alone reveals.