General information
- Name: Morten Goodwin Olsen
- Contact information:
- E-mail: morten.g.olsen [at] tingtun.no
- Cell Phone: +47 95 24 86 79
- Work Phone: +47 37 27 14 03
- Jabber Account: morten.g.olsen [at] jabber.org
- Degree: Master of Science in Technology - Information and Communication Technology
- Homepage: http://mortengoodwin.net/
- Involvement:
- Position: Ph.D. Student at
- Date of birth: 1980-11-23 (23rd of November 1980)
- Physical Location: Grimstad, Norway
- Marital status: engaged
Short biography
Read the biography.Morten Goodwin Olsen is currenlty involved in Tingtun AS and is a Ph.D. student at Aalborg University in the field of eGovernment benchmarking. His field of expertise is automatic assessment of eGoverment services. He is also involved in the eGoverment Monitoring project where his main focused is applying learning algorithms and web-mining techniques on eGovernment indicators which are difficult to measure automatically.
He has previously worked as a scientific developer in the European Internet Accessibility Observatory, including contributing to the Unified Web Evaluation Methodology.
He has been a member of the expert group working on the United Nations e-Government Survey and has done an internship at the United Nations Department of Public Administration working with eGovernment assessment.
Additionally, he has several high ranked scientific publications as well as involved in teaching, including supervising of master thesis projects.
Ph.D. information
Morten is doing Ph.D. part of the eGovMon project which will create an open coherent assessment methodology and implementation for benchmark
- Accessibility,
- Transparency,
- Efficiency and
- Impact.
The project is an innovation project co-funded by the Research Council of Norway under the VERDIKT program (Project no.: Verdikt 183392/S10) .
The benchmarking will be done mainly based on data gathered from public web sites. Traditionally, such benchmarking is done manually or in some cases with automatic formal deterministic tests, which has its limitations. In my Ph.D. I will apply heuristic techniques, such as learning algorithms, as part of these measurements intended to increase the over all test coverage possible to do automatically.
The Ph.D. is supervised by Mikael Snaprud and Christian S. Jensen.
More information is available in the year one plan of study.
Morten Goodwin Olsen
E-mail address is:
morten.g.olsen __at__ uia.no
Phone is:
+47 95 24 86 79
