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Your search for "Logic" returned the following 2 expert(s):
MELCHERS, Ronald F. »
Professor
Associate professor
Faculty of Social Sciences
Criminology
Contact information:
Office: 613-562-5800 (1801)
Home: 613-722-3980
E-mail: Ronald-Frans.Melchers@uOttawa.ca
Website
Preferred method of contact:
Home Telephone
Research information:
I'm currently examining the role and treatment of information in public policy and operations in criminal justice: statistics, databases, registries, administrative operational data, research results etc. This information arises and is used as evidence in investigations and decisions of a wide range of police, judicial and correctional institutions. I am particularly interested in the validity and reliability of information and of procedures for its use, as well as implications for rights to privacy.
Area(s) of expertise:
(View other experts in this field)
- Aboriginal criminality
- Aboriginal legal issues
- Applied statistics
- Community policing
- Courts
- Crime
- Crime in Canada
- Crime prevention
- Criminal law
- Data mining
- Data security
- Evaluation
- Justice
- Knowledge bases
- Logic
- National policy
- Not-for-profit organizations
- Numerical methods
- Ontario politics
- Performance measurement
- Performance measures
- Police
- Poverty
- Privatization
- Public administration
- Research methods
- Sentencing
- Social change
- Social politics
- Social services
- Statistics
- Statistics
- Statistics
- Urban renewal
- Work
Language preference:
English and French , néerlandais / Dutch
VELLINO, Andre »
Associate professor
Faculty of Arts
School of Information Studies
Contact information:
Office: 613-562-5800 (4841)
Cell: 613-761-0338
E-mail: avellino@uottawa.ca
Preferred method of contact:
Cell Telephone
Research information:
My expertise is the automation of reasoning - making machines "think" - and the representation of information by machines. I have worked with recommender systems for digital libraries, using citation networks. My most recent interest in the process of harmonizing heterogeneous scientific research datasets by drawing inferences about commonalities among disparate methods of representing data.
Area(s) of expertise:
(View other experts in this field)
Language preference:
English and French
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