Projects

Our projects cover.
Argumenta:  Behavior Change Science & Policy (BeSP)

2019-2020, Finnish Cultural Foundation

The project aims to evoke scientific and interdisciplinary discussion on questions related to influencing behaviour

 

Computerized Implicit Process Interventions in Eating Behavior

2018-2020, Finnish Cultural Foundation, Signe and Ane Gyllenberg Foundation

Design and evaluation of computer-based interventions on implicit psychological processes to improve dietary behavior, Matthias Aulbach’s PhD project.

Self-de­term­ined mo­tiv­a­tion for work and health

2016-2020, Academy of Finland

Investigating fluctuations in motivation and identifying effective strategies that individuals themselves can use to self-manage their motivation.

Understanding the process of behaviour change: Evaluating psychosocial mechanisms of change in interventions to promote wellbeing

2015-2020, Academy of Finland

Purpose is to increase understanding psychosocial processes of behaviour change in mental health promotion, physical activity, and healthy diet. One of the projects involved is the .

Public Understanding of Genomics (PubUndGen)

2014-2018, Academy of Finland

The project examines 1) public’s knowledge of and attitudes towards genome sequencing, 2) reactions to genetic secondary findings, and 3) how family history shapes personal disease risk perceptions using both qualitative and quantitative methods.

Past projects

2016-2018, Academy of Finland

Nationwide dissemination and implementation of evidence-based intervention strategies, including its evaluation.

2012-2017, Ministry of Education and Culture, Ministry of Social Affairs and Health

Scientific design and evaluation of a theory- and evidence-based intervention to increase physical activity and sedentary behaviour in youth.

2014-2017, European Union FP7

PREventive Care Infrastructure based On Ubiquitous Sensing (PRECIOUS) project is EU funded project that aims to improve motivation using a combination of motivational interview and gamification principles, as well as creating a personalised system that adapts to the users’ goals and preferences. The system will collect information about the user from a different devices and applications (sensors) to measure physical activity, food intake, and physiological stress levels. PRECIOUS include several subapps that use principles of motivational interview and self-regulation techniques.

Other past projects

  • Keegan Knittle: RUBICON 2014-17
  • Ari Haukkala: DILGOM 2007-14
  • Ari Haukkala: EU COST Network CHIP-ME 2014-17