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2020.XI.
BME-ETDK-1. place (incl. OTDK-access-right) with a study supported by the MY-X team!

2020.XI.
2 BPROF-Students (1. semester): 1. and 2. places (ETDK) + OTDK-access rights!

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QuILT: distance education with avatars in English!

2020.VI.
More and more qualitative studies in English from Students of the international courses!

2019.IX.
The Liebig-rule is available in the traffic!

2018.IX.
Kecskemét-Conference about Innovation: presentation of the 2DM-game!

2018.VI.
MMO 2018 conference: the best presentation of the session (award for 2DM) + the best publication of the session (award for Rosling-animations)!



Last modified: 2015.VII.19.14:08 - MIAÚ-RSS
The Journal MIAU has been working for 20+ years as a kind of public service!
The MATARKA-view

Experiences with development and maintaining of online analytic services

Leading article: 2014. April (MIAU No. 188.)
(Previous article: MIAU No. 187.)

Keywords: data-driven policy making, operationalism in the hermeneutics, robotized thinking, automation of heuristics, multi-layered consistency, knowledge management, suspicion generating, simulation, virtual measuring
The principles of the data-driven policy making (or similarity analysis) are able to cover a lot of layers in the human thinking processes: e.g. suspicion generating, simulation, heuristics, explorative modelling, forecasting. This is possible on the base of human intuitions being transferred into source codes and being controlled through complex multi-layered consistency (self)-checking. The virtual measuring delivers special pictures needing hermeneutical support, which could be operationalized. Therefore more and more knowledge management phases can be automated and optimized. With other words: the classic human thinking can be robotized in a sophisticated way nowadays too... (more)


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