Ola Lindroos

Ola Lilndroos's area of research is within forest operation efficiency.

The scientific discipline of work science systematically evaluates existing and proposed human-machine-environment systems, which especially in forestry is a challenge since work is carried out in an unstructured, complex and highly variable environment. The current
scientific work is rather efficient, but in my opinion there is a lack of putting the fragmented data from specific processes into holistic systems that can be analysed under as realistic conditions as possible and, moreover, not just for their momentary effects but also over time.
Furthermore, analyses are most often just descriptive or comparative, with little focus on finding optimal solutions. Hence, there are several potential ways to methodological development in my research field, and I engaged in some of them during a post doc with IIASA. The most obvious main areas of interest are:
1) methods for modeling complex large scale system and simulating its behavior
2) methods for including time and variation in the modeling and simulations of (1)
(dynamic simulation of semi-stochastic events)
3) methods for finding optimal solutions to (1) and (2) (optimization)

More information

Funding: Kempe Foundation, Sweden

Nationality: Swedish

Program: Ecosystems Services and Management Program

Dates: October 2011 – October 2012


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Last edited: 31 January 2017

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