Computational Creativity
Computational creativity is a new area of computer science, the goal of which is to model, simulate and enhance creativity. We capitalise on our data mining background by investigating the discovery and use of patterns in creative systems. Our current research topics include automatic production of creative texts, especially computational poetry and machine humor, and also music. We are partners in the co-ordination action PROSECCO: Promoting the Scientific Exploration of Computational Creativity. (Funding: FP7, and internal funds)

Biomine: A biological search engine
We view biological databases of sequences, proteins, genes etc. as weighted graphs and develop methods for link discovery and analysis in such graphs. Try out the prototype search engine at biomine.cs.helsinki.fi! We are also affiliated with InterPregGen: Genetic studies of pre-eclampsia in Central Asian & European populations (EU FP7, participation with Hannele Laivuori). (Funding: National Technology Agency (Tekes) and companies)

Data and text mining
We participate in two programmes of Tivit, The Strategic Centre for Science, Technology and Innovation in the Field of ICT. In the Next Media researh programme, we develop methods for on-line analysis and surveillance of social media for local news in the Software Newsroom project. In the Security Ecosystem of the Data to Intelligence researh programme, in turn, the goal of the consortium is to invent products, solutions and services that use security and related data sources to provide added value to the customers and good business for the providers. (Funding: Tekes)
 

Past projects

Bison: Bisociation Networks for Creative Information Discovery
The aim is to develop and validate a novel computational methodology, which facilitates bisociative information discovery in large-scale heterogeneous information environments. (Funding: European Commission under the Framework 7 programme.)

Context: Context Recognition by User Situation Data Analysis
The Context project studies characterization and analysis of information about user's context and its use in proactive adaptivity. We have developed data analysis algorithms as well as ContextPhone, a mobile context-aware prototyping platform, available as free software. (Funding: Academy of Finland, PROACT Programme.)

Data mining in genetics
We develop models, methods and tools for analyzing genetic data, in particular for gene mapping and haplotype analysis. (Funding: National Technology Agency (Tekes) and companies in several projects, HIIT.)