2007.03.23 ABM offers a rigor of the formal description but allows for incorporation of narrative scenarios at the same time. These abilities make it a perfect tool in order to shed some light on nuances of the economic theory where the theory itself is not clear enough.
2006.11.16 While reading "The Equilibrium of the Firm" I asked myself why do economists tend to write their essays in such non human understandable way?... Simple things and math of the high school level are introduces as if it were rocket science.
Probably the most interesting part of every academics' web page... but so far I just did not find enough time to write about my research in a good selling manner.
In short, however, I am interested in Outsourcing and Offshoring projects of financial institutions with a critical observation of currently used metrics and frameworks in decision making as a social factor is not taken into an account in most of the cases.
As a temporary solution I suggest that people interested in what I do will just have a look at my PhD proposal.
In my field research I have worked extensively with several well-known consultancies leading on the arena of IT outsourcing in the financial sector. This involved interviewing consultants involved in the projects and attending of the case meetings.
Memberships / Studentships
- Studentship, funded under CAVES Project, in EU NEST Progdamme
- Member of ESSA (European Social Simulation Association)
- Engineering and Physiccal Sciences Research Council UK (EPSRC) grant for participation in Complexity Spring School, University of Southampton
- University of Kyoto grant for participation in First World Congress on Social Simmulation (WCSS'06)
- Editor of the Newsletter for ESSA
Papers/Articles of interest
Past data is not a good predictor
Yet another good proof that past data cannot and should not be trusted blindly since it is not a reliable predictor for the future. The JPG version of the FT article is available here.
F1 goes simulation
Quite recent article from Financial Times (28.Feb.07) about decision-making software (simulation software) being adopted by business which was originally developed to select the option in F1 motor racing. Pdf version of the article can be downloaded here.
... might be interesting to these who model a bit
If you are wondereing about how to express the probability of an event to happen in one of you simulations here is a short tip. I know it is not the reinvention of the wheel but a good trick nevertheless. On the first glance it is a siple thing that an event is happending with a probabiltiy of 30% but it is not necessarily obvious things to implement, because it is so simple. Let's say you would like something to happen with 30% probability. The easy (and maybe a standard) way of doing this is to get a random double/float between 0.0 and 1.0. If the random number is less than 0.3, the event should occur otherwise if the random number is greater than 0.3, nothing should happen. That's the whole magic!
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