AAU NLP Aalborg University · Copenhagen

Projects

Research programmes built for difficult questions.

Our active portfolio connects fundamental NLP with questions in security, privacy, and factuality in low resource settings and in domains of education, finance and cultural heritage.

Public records and confirmed award data itemise approximately DKK 38.5 million in current project support. This is gross project volume.

8active funded projects
2022–2030current portfolio horizon
Academia + industrypartners across sectors and countries

Current portfolio

Funded projects

Project descriptions and amounts are drawn from official VBN and funder records, supplemented by confirmed award data.

TRUST 2026–2030

Building TRUST in Text

Linguistically Motivated Language Model Detection

Develops linguistically grounded ways to detect poisoned or tampered language models and scalable safeguards across languages and domains.

  • Model integrity
  • Linguistic fingerprints
  • Explainable AI
PI
Johannes Bjerva
Funder
Independent Research Fund Denmark · Sapere Aude
Amount
DKK 6.19m
Partners
Stockholm University, NVIDIA
Official record
MML-RPL 2022–2026

Multilingual Modelling for Resource-Poor Languages

Explores how systematic linguistic similarities can extend useful language technology to languages with limited labelled data and digital resources.

  • Multilingual & low-resource NLP
  • Linguistic typology
PI
Johannes Bjerva
Funder
Carlsberg Foundation · additional Google support
Amount
DKK 5m + DKK 425k
Official record
FS-AIS 2026–2028

Formal Semantic Methods for AI Safety

Combines formal semantic analysis and neural interpretability to identify and explain rare multilingual failures in generative AI.

  • Formal semantics
  • AI safety
  • Interpretability
PI
Johannes Bjerva
Funder
Coefficient Giving · Technical AI Safety Research
Amount
DKK 2.4m
Official record
AI:SECURITY 2025–2029

AI:SECURITY

Connects NLP and cybersecurity to protect AI systems from hijacking and misuse and to counter AI-enabled disinformation and phishing.

  • AI security
  • Federated learning
  • Disinformation
PI
Johannes Bjerva and Qiongxiu Li
Funder
Aalborg University · AI:X
Amount
DKK 7m
Funding share
50% · Johannes Bjerva
Official record
DTAF 2024–2026

Digital Twins for Abundant Feedback

Builds explainable multilingual models of expert assessment to support timely, useful feedback at scale.

  • NLP for education
  • Explainable feedback
PI
Johannes Bjerva and Euan Lindsay
Funder
Villum Foundation · Synergy
Amount
DKK 3m
Official record
HiFi-KPI 2024–2027

Guarantees of Factuality in Financial KPI Extraction

Develops reliable methods and data for extracting financial KPIs from earnings transcripts with explicit factuality guarantees.

  • Financial NLP
  • Factuality
  • Information extraction
PI
Johannes Bjerva
Funder
Innovation Fund Denmark · Industrial PhD
Amount
DKK 1.07m
Partners
Alipes ApS
Official record
AI:PAGE Faculty-led lab

AI:PAGE-Lab

Turns historical texts into searchable, connected knowledge so researchers can discover patterns and relationships across cultural-heritage collections.

  • Knowledge graphs
  • Digital cultural heritage
PI
Russa Biswas and Johan Heinsen
Funder
Aalborg University · AI:X
Amount
ca. DKK 3.5m
Funding share
50% · Russa Biswas
Official record

Independent faculty leadership

Labs

AI:PAGE and AI:SECURITY operate as both funded projects and interdisciplinary labs. Their lab identities make sustained faculty leadership and cross-disciplinary collaboration visible.

AI:SECURITY 2025–2029

AI:SECURITY

Connects NLP and cybersecurity to protect AI systems from hijacking and misuse and to counter AI-enabled disinformation and phishing.

  • AI security
  • Federated learning
  • Disinformation
PI
Johannes Bjerva and Qiongxiu Li
Funder
Aalborg University · AI:X
Amount
DKK 7m
Funding share
50% · Johannes Bjerva
Official record
AI:PAGE Faculty-led lab

AI:PAGE-Lab

Turns historical texts into searchable, connected knowledge so researchers can discover patterns and relationships across cultural-heritage collections.

  • Knowledge graphs
  • Digital cultural heritage
PI
Russa Biswas and Johan Heinsen
Funder
Aalborg University · AI:X
Amount
ca. DKK 3.5m
Funding share
50% · Russa Biswas
Official record

Collaborate

Projects should change what we can understand.

We work with researchers, public institutions, language communities, and companies when collaboration creates a better research question, stronger evidence, or a credible path to use.

Discuss a collaboration