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 [...]
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).
The full paper is publicly available on Arxiv (link).
HIIT, Aalto and KTH researchers have recently found an algorithmic approach to automatically improve the design of scatterplots by exploiting models and measures of human perception.
Their work has received a best paper honorable mention award at IEEE PacificVis 2017. [...]
See press release and project webpage.
Algorithms can exploit models and measures of human perception to generate scatterplot designs.
Scatterplots are widely used in various disciplines and areas beyond sciences to visually communicate relationships between two data variables. Yet, very few users realize the effect the visual design of scatterplots can have on the human perception [...]
Epistatic interactions between polymorphisms in DNA are recognized as important drivers of evolution in numerous organisms. Study of epistasis in bacteria has been hampered by the lack of densely sampled population genomic data, suitable statistical models and inference algorithms sufficiently powered for extremely high-dimensional parameter spaces. In an article published in PloS Genetics, a HIIT team introduced [...]
At this year's International Conference on Web Search and Data Mining (WSDM 2017), the best student paper award went to “Reducing Controversy by Connecting Opposing Views” by Venkata Rama Kiran Garimella, Gianmarco De Francisci Morales, Aristides Gionis, and Michael Mathioudakis, from Aalto University and Qatar Computing Research Institute. [...]
In the recent work on "Working the fields of big data: Using big-data-augmented online ethnography to study candidate–candidate interaction at election time" published in Journal of Information Technology & Politics, Salla-Maaria Laaksonen, Matti Nelimarkka, Mari Tuokko, Mari Marttila, Arto Kekkonen and Mikko Vili explore how ethnography can be used to support computational data analysis, developing a novel observation that candidates engage [...]
A HIIT research team led by professor Jukka Corander collaborated with the pathogen genomics group at Wellcome Trust Sanger Institute to unearth the evolution of Burkholderia pseudomallei, a notorius soil bacterium causing serious human infections in tropics. Contrary to previous understanding, the genomic analyses revealed that the origin of B. pseudomallei isolates on the [...]
An international research team has found a new replacement mechanism that causes mutations in both humans and bacteria. The mechanism can cause several changes to a short stretch of DNA simultaneously. The research was conducted by observing fragments of DNA sequence that contained plenty of mutations.
‘In order to find out how common the new mutation mechanism is [...]
Executive Vice President, CTO, Nokia
September 11, 2013 at 4pm
in Open Innovation House,
Otaniementie 19-21, Espoo
Harvard University
April 15, 2013 at 4pm
in Auditorium T1, Aalto CS Building,
Konemiehentie 2, Espoo
