HIIT in brief
Its research ranges from fundamental methods and technologies to novel applications and their impact on people and society. The current foci of research are computational modelling and data analysis, and ubiquitous ICT in the modern networked world.
HIIT groups belong to four national Centers of Excellence and co-operate with the information industry and with sciences applying information technology. HIIT works in a multidisciplinary way, with scientists from computer, natural, behavioural and social sciences, as well as from humanities and design. HIIT partners with several international and Finnish companies as well as with universities and research institutions in Europe, North America and Asia.
HIIT was founded in 1999 and now has a budget of about 11 million euros, realising in total about 140 person-years of work by about 300 researchers. HIIT is located in two different sites in the Helsinki Metropolitan area: at Aalto University's Otaniemi campus and at University of Helsinki's Kumpula campus. The institute is led by Professor Samuel Kaski. HIIT's research is funded by Aalto University, the University of Helsinki, Tekes, the Academy of Finland and other foundations financing Finnish hi-tech research, the European Union and private companies.
The research by HIIT has been assessed and deemed excellent by its Scientific Advisory Board in 2008 and 2012; in the Aalto University Research Assessment Exercise in 2009; and in the Evaluation of Research and Doctoral Training at the University of Helsinki in 2011.
HIIT in figures 2012
- Funding: € 11.5 million, of which 83% external/competitive
- Person-years: 144
- Refereed international publications: 194
- Doctoral degrees earned by HIIT personnel: 10
Suomeksi (In Finnish)
Tietotekniikan tutkimuslaitos HIIT on Aalto- yliopiston ja Helsingin yliopiston yhteinen laitos. HIITin tutkimusalat ulottuvat
tietojenkäsittelytieteen perusmenetelmistä ja -tekniikoista uusiin sovelluksiin ja niiden vaikutukseen ihmisiin ja yhteiskuntaan. HIITin tämänhetkiset painopistealueet ovat laskennallinen mallinnus ja suurten tietomassojen analysointi, sekä "jokapaikan" eli "ubiikki" tietojenkäsittely nykypäivän verkottuneessa maailmassa.