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Demograft’s project presented in “Kapital”, business broadcast on ETV

On 26th of February 2015 a sequent episode of Kapital was aired in ETV. In the mentioned episode they investigated what kind of data is left behind by our everyday devices. STACC and Regio introduced their joint project called Demograft and it`s possibilities in using the data gained from mobile positioning. Watch Democraft presentation starting

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STACC proceeds to the next funding period 2015-2022 of the technological development centres

STACC got admitted to full application round for the development centres measure along with 5 other technological development centres. On February 2015, our hard work was rewarded, as STACC was successful in Enterprise Estonia round of preliminary application for the technological development centres’ measure. Our sincere congratulations to the co-applicants Competence Center of Food and

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STACC develops text mining toolkit for health records

STACC received funding from the National Programme for Estonian Language Technology to develop a fully functional text mining toolkit to make sense of vast amounts of free-text data in the electronic health records. The project is derived from STACC’s long-run research stream in Biomedical Data Mining.

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Copernicus Urban Development Analyser (CUDA) won Vega Fond scholarship

Copernicus Urban Development Analyser (CUDA) project, led by our scientist Kaupo Voormansik, won the biggest scholarship from Vega Fond. CUDA (Copernicus Urban Development Analyser) is an integrated service for monitoring urban growth and related processes by combining satellite monitoring with anonymous mobile positioning service (MPS). CUDA proposal already won the DLR Environmental Challenge in 2013

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STACC is developing innovative satellite and MPS based system for monitoring urbanization

STACC in cooperation with Tartu Observatory and our international partners is developing CUDA – a complex information system for monitoring urbanization on global scale. CUDA uses Copernicus Sentinel satellite data for mapping infrastructure changes and anonymous mobile positioning data for mapping population and demographic processes. Information and statistics derived with CUDA is a useful input