EVAL-INNO - Innovations Evaluation

Template for Evaluators and Potential Evaluators

Tags: Nanosciences, Nanotechnologies, Materials and New Production Processes, Other

Evaluator name in English language	Aleksandar Rodic
Evaluator name in original language	Aleksandar Rodić
Country	Serbia
Target Sectors	Nanosciences, Nanotechnologies, Materials and New Production Processes, Other
Type of evaluator (current/potential)	Current evaluator
Position	Head of Robotics Department, Institute Mihailo Pupin
Telephone	+381 11 2776 174
Fax	+381 11 2776 583
Address	Volgina 15, Zvezdara, 11060 Belgrade
Current employer	Institute Mihailo Pupin
Website of employer in English language	www.pupin.rs
Website of employer in original language	www.pupin.rs/en
Type of Employer	National, Government
Link to personal profile or biography of evaluator
Link 1	http://www.pupin.rs/RnDProfile/rodic.html

Type of desired evaluation experience	RTDI Programmes and/or Funding Instruments, RTDI-Related Projects
Short bio on the professional experience	Aleksandar Rodić received his B.Sc. in Mechanical Engineering in 1985, and his M. Sc. and Ph.D. degree in Electrical Engineering in 1992 and 1998 from the University of Belgrade, Serbia. Since 1987 he has been with the IMP Robotics Laboratory, where he is currently a Scientific Adviser and Head of the Robotics Department. Dr. Rodić is the author of one research monograph and the editor of two thematic proceedings. He is the author of more than 100 scientific publications in scientific and professional journals and proceedings of international scientific meetings. He is a Visiting Professor at the Technical University of Braunschweig, Germany (2001/2002, 2005) and the University of Reunion, France (2004, 2006, 2008, 2009 and 2011), and Adjunct Professor of the University of Szeged (Hungary) and the Faculty of Electrical Engineering, University of Belgrade. His research interests include modelling and simulation of large-scale dynamic systems, identification, adaptive/non-adaptive control, bio-mechanics, robotics and artificial intelligence. He is a participant and national coordinator in several international research projects regarding service robotics and mechatronics.
Languages that can be used in RTDI evaluations	English
Completed EVAL-INNO Training	No
Date of entry	2012-02-09 12:54:54
Last modified	2012-04-20 08:26:15
Type of evaluator’s experience based on the objects of performed evaluations
Name of awarding body/contractor for the evaluation(s) (current and past
Contractor	Ministry od Science, Republic of Serbia

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

Type of evaluator
Number of evaluations	2
Sectoral dimension of the evaluations
Description of the evaluation methods
Problems encountered
Commentary on evaluation needs of the country	Qualified evaluators are not numerous in Serbia. Due to this fact, there is not much demand for evaluations issued by managing authorities. The consultancy market is at the beginning of its development and predominately, the consulting companies are from abroad.
Commentary on individual professional needs of the evaluator	I do not think that I need training since I have lot of experience in my profession in Serbia as well as in Europe. I need information on evaluation standards, new methodologies for benchmarking etc.
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)
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
Expert Panels/Peer Review	Impact Assessment	Qualitative Semiquantitative
Network Analysis	Impact Assessment Assesses Co-operation linkages	Qualitative Semiquantitative

wordpress themes free by 888 poker