A Software Institute for Data-Intensive Sciences, Joining Computer Science Academia and Natural Science Research

A Science Cloud for Data Intensive Sciences

It is often discussed that the fourth methodology for science researches is “informatics”; the first methodology is theoretic approach, the second one is observation and/or experiment, and the third one is computer simulation. The informatics is expected as a new methodology for data intensive science, which is a new concept based on the fact that most of the scientific data are digitalized and...

Software Architecture: Implications for Computer Science Research

Software architecture has the potential to significantly shift software development from dealing with fine grained (program level) constructs to a higher level emphasis. This position paper discusses some of the major computer science questions that require investigation to facilitate this shift. It focuses on three particular areas: semantics and languages, formal verification, and measurement...

International Computer Science Institute

The Dutch Techcentre for Life Sciences: Enabling data-intensive life science research in the Netherlands

We describe a new national organisation in scientific research that facilitates life scientists with technologies and technological expertise in an era where new projects often are data-intensive, multi-disciplinary, and multi-site. The Dutch Techcentre for Life Sciences (DTL, www.dtls.nl) is run as a lean not-for-profit organisation of which research organisations (both academic and industrial...

Wikipedia, Academia, and Science

This paper presents some results of an ongoing research project on the interactions between Wikipedia and academia. The first part of the project analyses the perception and practices of academic faculty about Wikipedia. It also includes a study on 52 teaching experiences at universities around the world where lecturers have used Wikipedia for designing assignments involving students to edit th...