SpTheoryGraphLim, CombLimit, GROGandGIN, GeoScape, and DYNASNET all address graph-theoretic problems from spectral theory to extremal combinatorics.
HUN-REN RENYI ALFRED MATEMATIKAI KUTATOINTEZET
Hungary's leading mathematics research institute, specializing in combinatorics, graph theory, network science, and quantum algorithms under ERC excellence grants.
Their core work
The Alfréd Rényi Institute of Mathematics is Hungary's premier pure mathematics research center, conducting fundamental research in combinatorics, graph theory, algebra, and geometry. Under H2020, the institute has attracted top-tier ERC and Marie Curie grants for individual researchers working on problems ranging from network dynamics and graph limits to algebraic geometry and quantum algorithms. Their work provides the theoretical foundations that underpin advances in network science, data analysis, machine learning, and quantum computing — making them a source of deep mathematical expertise for applied collaborations.
What they specialise in
DYNASNET (EUR 3.5M ERC Synergy) and NOISE study dynamic processes on networks and complex systems, including network biology.
Two ModSingLDT fellowships investigate moduli spaces, Hilbert schemes, and connections to vertex algebras and Chern-Simons theory.
MM-CAHF focuses on Heegaard Floer homology for knots and links, with connections to cobordism theory.
QuantOrder explores quantum computing approaches to combinatorial optimization, including quantum machine learning and tensor networks.
InvGroGra and GROGandGIN study asymptotic invariants of discrete groups and growth phenomena in group theory.
How they've shifted over time
Early H2020 work (2015–2018) focused on classical combinatorics and discrete mathematics — spectral graph theory, graph limits, sparse graphs, and group-theoretic invariants. From 2019 onward, the institute broadened into applied mathematical directions: large-scale network dynamics (DYNASNET), quantum computing for combinatorial problems (QuantOrder), and deeper algebraic geometry (ModSingLDT). The recent period also shows a growing interest in connections between pure mathematics and physics, with projects bridging vertex algebras, Chern-Simons theory, and Heegaard Floer homology.
The institute is expanding from classical discrete mathematics toward applied network science and quantum computing, making them increasingly relevant for interdisciplinary collaborations in data science and quantum technologies.
How they like to work
The Rényi Institute operates almost exclusively as a host institution for individual excellence grants — all 11 projects are ERC or Marie Curie awards where they serve as coordinator. With only 2 unique consortium partners across 2 countries, they function as a standalone research powerhouse rather than a consortium builder. This reflects the nature of ERC-funded fundamental research: partnering with them means engaging world-class mathematicians on specific problems, not joining a large multi-partner project.
Extremely small formal H2020 network with only 2 consortium partners across 2 countries, reflecting the individual-grant nature of their ERC and MSCA portfolio. Their real network extends through the global mathematics community rather than through EU consortium partnerships.
What sets them apart
The Rényi Institute is one of Europe's most prestigious pure mathematics research centers, with a legacy stretching back to Paul Erdős and Alfréd Rényi himself. Their ability to consistently win highly competitive ERC Advanced and Consolidator grants demonstrates exceptional individual talent — the institute attracted over EUR 11M in personal excellence funding alone. For anyone needing rigorous mathematical foundations for applied problems in networks, data structures, or quantum computing, the Rényi Institute offers a depth of expertise that few European institutions can match.
Highlights from their portfolio
- DYNASNETLargest grant (EUR 3.5M ERC Synergy), addressing the intersection of graph limits, dynamic networks, and network biology — their most interdisciplinary project.
- GeoScapeEUR 2M ERC Advanced Grant tackling the 'curse of dimensionality' in geometric combinatorics, with applications to clustering, property testing, and machine learning foundations.
- QuantOrderTheir newest research direction, applying quantum algorithms and quantum neural networks to combinatorial optimization — signals a move toward quantum technologies.