Decision Analytics utilizing Causal Models and Multiobjective Optimization (DEMO)

Decision analytics utilizing causal models and multiobjective optimization (DEMO) is a profiling (thematic research) area of the University of Jyvaskyla. The goal of DEMO is creating means to make the most of the data and support data-driven decision making.

Table of contents

Project duration
01.04.2017 - 31.12.2030
Core fields of research
Information technology and the human in the knowledge society
Research areas
Decision analytics utilizing causal models and multiobjective optimization
Faculty of Information Technology - Research areas
Faculty
Faculty of Information Technology
Faculty of Mathematics and Science

Project description

The mission of DEMO is supporting decision makers in making better decisions. DEMO focuses on explicit, concrete decision problems that can be presented with mathematical formalism. Predictive analytics, statistical modelling, causal inference, prescriptive analytics and multiobjective optimization are the key elements needed to create a seamless chain from data to decision. We refer to this as decision analytics. We also incorporate different (explainable) artificial intelligence methods in the elements of the seamless chain. Thanks to method and software development, decision analytics is applied to support e.g. other research areas of the University of Jyväskylä, especially related to education and health in dealing with their decision problems.

The University of Jyväskylä has received funding for DEMO from the Academy of Finland (in 2017-2021) to support in strengthening the university’s research profile in order to improve the quality of research.

DEMO is a joint effort of the Faculty of Information Technology and the Department of Mathematics and Statistics in collaboration with other departments of JYU.

The international advisory board recognizes DEMO's unique position at the forefront of international research on data-driven decision support. Our research can be characterized as explainable artificial intelligence (XAI) for human decision making. 

The core concept is the seamless chain from data to decision making:

Demo-hankkeen pääkohdat kuvitettuna kaavioon.
In DEMO, we work with various application fields including health and well-being, learning and teaching, energy and forest treatment planning.

See our brochure:

International Advisory Board of DEMO

The following professors are members of the international advisory board of DEMO

  • Prof. Jian-Bo Yang, The University of Manchester, UK 
  • Prof. Tom Heskes, Radboud University Nijmegen, Netherlands 
  • Prof. Bulent Yener, Rensselaer Polytechnic Institute, USA 
     
International Advisory Board of DEMO with some key researchers of DEMO.

Publications

Publication
2023
Available through Open Access
Many-Criteria Optimization and Decision Analysis : State-of-the-Art, Present Challenges, and Future Perspective
Afsar, Bekir
Fieldsend, Jonathan E.
Guerreiro, Andreia P.
Miettinen, Kaisa
Rojas Gonzalez, Sebastian
Sato, Hiroyuki

Project team