Seed funding call summer 2024 to boost collaboration between Aalto, KU Leuven and University of Helsinki
Aalto University, KU Leuven (Belgium) and the University of Helsinki launch the 2nd exploratory seed funding call to explore research collaboration possibilities. The goal is to stimulate excellent researchers to join forces to embark on joint research projects that bring added value.
Outcome of the evaluation
In the seed funding call in total 22 proposals were submitted. All proposals were outstanding and of high quality. The proposals were reviewed and ranked by the three participating universities. During a leadership meeting of the corresponding vice-rectors of the three universities, 14 proposals were selected for funding. Funding per project is maximum €30 000, equally shared between the three universities.
Projects selected for funding:
| Name of the project | PIs from all three universities | |
| 1 | DAIBRAIN: Decentralized artificial intelligence for assessing clinical brain recordings | Vanhatalo Sampsa (University of Helsinki), Parkkonen Lauri (Aalto SCI), de Vos Maarten (KU Leuven) |
| 2 | INTERMND: Interdisciplinary insights into a new motor neuron disease | Tyynismaa Henna (Helsinki), Bultynck Geert (KUL), Ala-Laurila Petri (Aalto SCI) |
| 3 | MetaTopo: engineering artificial topology through patterned ion irradiation and metastructure design | Lado Jose (Aalto SCI), Pereira Lino (KUL), Ã…hlgren Harriet (Helsinki) |
| 4 | MyCell: Exploring the Potential of Paper Waste and Mycelium-Based Composites (MBC) for beautiful, inclusive and regenerative architecture | Wurm Jan (KUL), Jyske Tuula (Helsinki), Kuittinen Matti (Aalto ARTS) |
| 5 | AI-MED: Trustworthy AI for Medical Image Analysis and Computer Vision | Blaschko Matthew KUL, Honkela Antti (Helsinki), Kannala Juho (Aalto SCI) |
| 6 | GROWTH: Greenhouse Resource Optimization and Wireless Technology for Horticulture | Wichman Risto (Aalto ELEC), Meuret Youri (KUL), Himanen Kristiina (Helsinki) |
| 7 | AlgStatMSM: Algebraic Statistics and the Study of Multistate Models: Theory and Applications | Kubjas Kaie (Aalto SCI), Kulathinal Sangita (Helsinki), Mohammadi Fatemeh (KUL) |
| 8 | TED-AI: Trustworthy Explanations for Decision Making in AI | Guns Tias (KUL), Rintanen Jussi (Aalto SCI), Järvisalo Matti (Helsinki) |
| 9 | ID-BIOME: Interpretable deep learning for understanding the Dynamics of the human gut microbiome | Arany Adam (KUL), Lähdesmäki Harri (Aalto SCI), Vatanen Tommi (Helsinki) |
| 10 | AGEWELL: Happier senior years | Salmi Ari (Helsinki), Tehrani Ali (Aalto CHEM), Koos Erin (KUL) |
| 11 | ARCH-ON: A Novel Ontological Approach for Classifying Archaeological Artefacts. Creating Multivocal FAIR Transnational Collections for Digital Humanities | Deckers Pieterjan (KUL), Hyvönen Eero (Aalto SCI), Tuominen Jouni (Helsinki) |
| 12 | DUPET-WP: Framework for damage identification and uncertainty quantification in pipelines under extreme temperatures using wireless ultrasonic sensors and probabilistic transfer learning | Chronopulos Dimitrios (KUL), Niiranen Jarkko (Aalto ENG), Jablonskyj Denys (Helsinki) |
| 13 | Esurrogates: co-optimizing energy efficiency and climate resilience in the built environment using machine learning based surrogates | Kazmi Hussain (KUL), Kosonen Risto (Aalto ENG), Ruotsalainen Laura (Helsinki) |
| 14 | HealGel: Bioadhesive hydrogels for wound healing applications | Wang Shiqi (helsinki), Thielemans Wim (KUL), Zhang Hang (Aalto CHEM) |
Summary slide-set on the evaluation process and one sliders of the funded projects are available at the Aalto Internal pages.
KU Leuven, Aalto University and University of Helsinki join forces to boost research collaboration
New seed funding will be awarded jointly to fund up to five exploratory research projects
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