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 9
- Improving Clustering and Cluster Validation with Missing Data Using Distance Estimation Methods (2022) Niemelä, Marko; et al.; A3; 978-3-030-70787-3
- Newton Method for Minimal Learning Machine (2022) Hämäläinen, Joonas; et al.; A3; 978-3-030-70787-3
- Optimistic NAUTILUS navigator for multiobjective optimization with costly function evaluations (2022) Saini, Bhupinder Singh; et al.; A1; OA
- Amelien silmä : kuuluminen ja taiteen mikropolitiikka (2021) Sääskilahti, Nina; A1; OA
- An Artificial Decision Maker for Comparing Reference Point Based Interactive Evolutionary Multiobjective Optimization Methods (2021) Afsar, Bekir; et al.; A4; OA; 978-3-030-72062-9
- An In-between Reader : Situatedness and Belonging in Tove Jansson’s Helsinki (2021) Amey, Evgenia; A1; OA
- A nonlinear mixed model approach to predict energy expenditure from heart rate (2021) Kortelainen, Lauri; et al.; A1; OA
- Assessing the Performance of Interactive Multiobjective Optimization Methods : A Survey (2021) Afsar, Bekir; et al.; A2; OA
- Attention directed to proprioceptive stimulation alters its cortical processing in the primary sensorimotor cortex (2021) Piitulainen, Harri; et al.; A1; OA
- Body weight and premature retirement : population-based evidence from Finland (2021) Viinikainen, Jutta; et al.; A1; OA
