Template for Evaluators and Potential Evaluators



Tags: Socio-economic Sciences and Humanities, No specific sector
Evaluator name in English language Antonija Mrsic
Evaluator name in original language Antonija Mršić
Country Croatia
Target Sectors Socio-economic Sciences and Humanities, No specific sector
Type of evaluator (current/potential) Current evaluator
Position Head of Department for Collaborative R&D
Telephone +385989823383
Fax
Address
Current employer Business Innovation Center of Croatia BICRO
Website of employer in English language
Website of employer in original language www.bicro.hr
Type of Employer National, Government
Type of desired evaluation experience Strategic Documents/Legislation, RTDI Programmes and/or Funding Instruments
Short bio on the professional experience
Languages that can be used in RTDI evaluations English, German
Completed EVAL-INNO Training No
Date of entry 2012-02-06 10:28:10
Last modified 2012-02-27 09:30:36
Type of evaluator’s experience based on the objects of performed evaluations Strategic Documents/Legislation, RTDI Programmes and/or Funding Instruments


Type of awarding body/contractor for the evaluation(s) (current and past)


Type of evaluator National
Internal (performed by the institution)
Number of evaluations 3
Sectoral dimension of the evaluations Socio-economic Sciences and Humanities
Description of the evaluation methods
Problems encountered
Commentary on evaluation needs of the country
Commentary on individual professional needs of the evaluator
Most relevant directorate or section


Methodology of the evaluation
Sources of Information Objective Type of Method Ex Ante Interim Terminal Ex Post Ad Hoc
Foresight/Technology Assessment (Strategic) Impact Assessment Articulation and road mapping of development of new technologies Qualitative Semiquantitative
Cost-efficiency Assesses sustainability Assesses efficiency Qualitative / semiquantitative methodologies
Cost-benefit analysis Assesses sustainability Assesses efficiency Quantitative (with qualitative elements)
Innovation Surveys Detects trends and insights Identifies size and distribution of impacts Provides groups comparisons and changes over time Semiquantitative (Statistical data analysis) X
Benchmarking Comparison method across different sectors Support to systemic evaluation Quantitative (Statistical data analysis)
Macroeconomic modeling and simulation Determine the efficiency and efficacy Quantitative modelling methodology
Productivity analysis Determine the efficiency and efficacy Quantitative modelling methodology
Microeconomic evaluation studies Provide a quantitative estimation of the impact Control for different effects: expenditures, innovation capacity Quantitative qualitative categorical data
Control group approaches Capture the impact of policy intervention on the programme participant entity Quantitative Modelling methodology
Interviews and field/case studies Impact Assessment Qualitative Semiquantitative X
Expert Panels/Peer Review Impact Assessment Qualitative Semiquantitative
Network Analysis Impact Assessment Assesses Co-operation linkages Qualitative Semiquantitative


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