• Revolution in bacterial evolution

    Fri, 20.10.2017

    A research team led by Prof. Jukka Corander and Dr. Nicholas Croucher has made a pioneering discovery about how bacterial populations evolve, which changes dramatically our view into the role of accessory genes in defining the fitness of bacteria.

  • Studying the intersection of society and technology: Rajapinta unconference call for content

    Fri, 22.09.2017

    The first annual Rajapinta unconference will be organized in Dipoli, Otakaari 24. The event is open to all interested in the study of digital society or digital methods for social sciences.

  • Machine learning guides drug-target mapping efforts

    Fri, 01.09.2017

    Researchers from FIMM, HIIT and University of Turku have demonstrated that carefully optimized machine learning models offer complementary and cost-effective approach to experimental determination of drug-target interactions, allowing for prioritization of the most potent targets for further in vitro or ex vivo target validation in the laboratory.

  • Distinguished Paper Award at CP 2017

    Wed, 30.08.2017

    The paper "Reduced Cost Fixing in MaxSAT", authored by Antti Hyttinen, Matti Järvisalo, and Paul Saikko of the HIIT / University of Helsinki Constraint Reasoning and Optimization group

  • 50 Years of Computer Science in Helsinki Jubilee Seminar

    Tue, 15.08.2017

    This year the Department of Computer Science of the University of Helsinki celebrates its 50th Anniversary. The festivities include a Jubilee Seminar on Thursday 31 August 2017, at 1-6 p.m., in the Great Hall of the University Main Building (Unioninkatu 34).

  • Toxicity of chemicals can be predicted computationally

    Thu, 06.07.2017

    Unanticipated harmful effects of chemicals and drug molecules are a big problem. A significant step in predicting them computationally, based on genomic data, was taken in a study published in Nature Communications. The study was done by HIIT researchers Juuso Parkkinen and Samuel Kaski in collaboration with researchers from Karolinska Institutet, Maastricht University and Institute for Molecular Medicine Finland FIMM.

  • Best student paper award at Web Science 2017

    Thu, 29.06.2017

    At this year's International ACM Web Science Conference (Websci 2017), the best student paper award went to the paper titled “The Effect of Collective Attention on Controversial Debates on Social Media” by Venkata Rama Kiran Garimella (Aalto), Gianmarco De Francisci Morales (QCRI), Aristides Gionis (Aalto), and Michael Mathioudakis (Aalto).

  • ERC Advanced grant awarded to professor Jukka Corander

    Wed, 10.05.2017

    HIIT group leader, professor Jukka Corander has received the ERC Advanced grant funding for 2017-2022. His SCARABEE project is located at University of Oslo, but it involves a considerable collaboration with HIIT scientists at both Aalto University and University of Helsinki. SCARABEE will develop new computational inference methods for evolutionary epidemiology, including genome-wide epistasis, GWAS, population genomics and transmission dynamics.

  • Professor Jukka Corander appointed as Honorary Faculty member at Sanger Institute

    Thu, 04.05.2017

    The Wellcome Trust Sanger Institute in Cambridge is a world-leading genomics research facility, where HIIT group leader professor Jukka Corander has had a long-term research collaboration with scientists in the Pathogen Genomics program since 2010. On May 4th, 2017, the director of the Sanger Institute announced that Jukka Corander has been appointed to an Honorary Faculty member position at Sanger.

  • Computers learn to understand humans better by modelling them

    Wed, 03.05.2017

    HIIT researchers collaborating with University of Birmingham and University of Oslo present results paving the way for computers to learn psychologically plausible models of individuals simply by observing them. In newly published CHI'17 article, the researchers showed that just by observing how long a user takes to click menu items, one can infer a model that reproduces similar behavior and accurately estimates some characteristics of that user's visual system, such as fixation durations.