Competitive funding to strengthen universities’ research profiles. Profiling actions at the JYU, round 3 (Profi3)
Main funder
Funder's project number: 311877
Funds granted by main funder (€)
- 4 600 000,00
Funding program
Project timetable
Project start date: 01/04/2017
Project end date: 30/11/2021
Summary
The mission of JYU is to conduct significant, world-class research in its core fields and to train competent, motivated experts who possess lifelong learning skills in various fields. JYU interacts with society in an active and responsible manner in regional, national and international contexts. The JYU vision is to be an internationally renowned multidisciplinary research university and one of the world’s leading universities in the fields of learning and teaching by the year 2030. Three of the identified emerging fields are linked to the next profiling measures of JYU detailed in this proposal. Even though they were identified as emerging fields they all, in fact, are either in-built in the University’s previous profiling areas and/or can be found among the core fields as has been specified in the strategy of JYU.
Profiling measures, Profi3 (2017-2021)
* Brain changes across the life-span – the role of growth environments, self-regulation and physical activity (BRAIN)
* Decision analytics utilizing causal models and multiobjective optimization (DEMO)
* Crises redefined: Historical continuity and societal change (CRISES)
Profiling measures, Profi3 (2017-2021)
* Brain changes across the life-span – the role of growth environments, self-regulation and physical activity (BRAIN)
* Decision analytics utilizing causal models and multiobjective optimization (DEMO)
* Crises redefined: Historical continuity and societal change (CRISES)
Principal Investigator
Other persons related to this project (JYU)
Contact person (yes/no): Yes | |
Primary responsible unit
Other responsible units
Web page
https://www.jyu.fi/fi/tutkimus/tutkimuksen-profiili/profilointi-ja-nousevat-alat
Internal follow-up group
Related publications
1 of 11
- A Bayesian spatio‐temporal analysis of markets during the Finnish 1860s famine (2022) Pasanen, Tiia‐Maria; et al.; A1; OA
- Activity level in left auditory cortex predicts behavioral performance in inhibition tasks in children (2022) van Bijnen, Sam; et al.; A1; OA
- Design and Validation of a Wireless Body Sensor Network for Integrated EEG and HD-sEMG Acquisitions (2022) Cerone, G. L.; et al.; A1; OA
- Desirable properties of performance indicators for assessing interactive evolutionary multiobjective optimization methods (2022) Pour, Pouya Aghaei; et al.; A4
- Efficient Bayesian generalized linear models with time-varying coefficients : The walker package in R (2022) Helske, Jouni; A1; OA
- Efficient spatial designs using Hausdorff distances and Bayesian optimization (2022) Paglia, Jacopo; et al.; A1; OA
- Flexible Data Driven Inventory Management with Interactive Multiobjective Lot Size Optimization (2022) Heikkinen, Risto; et al.; A1; OA
- Identification of Proprioceptive Thalamocortical Tracts in Children: Comparison of fMRI, MEG, and Manual Seeding of Probabilistic Tractography (2022) Jaatela, Julia; et al.; A1; OA
- Impact or No Impact for Women With Mild Knee Osteoarthritis : A Bayesian Meta-Analysis of Two Randomized Controlled Trials With Contrasting Interventions (2022) Heikkinen, Risto; et al.; A1; OA
- Improving Clustering and Cluster Validation with Missing Data Using Distance Estimation Methods (2022) Niemelä, Marko; et al.; A3; 978-3-030-70787-3
