KPA has successfully managed and contributed to projects funded under several European Framework Programs.

For a brochure describing the KPA EU projects - click here

For a presentation on KPA EU projects - click here

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A list of these projects follows with links to relevant web sites.

• The Israeli Software Process Improvement Node was established at KPA to support Software Process Improvement Experiments (PIE) under ESPRIT, in the context of FP4. This knowledge center specializes in Software Quality, Software Process Improvements, CMMI assesments, Software Metrics and Testing Methodologies.
  Link to Israel ESPINODE
  
  
• KPA developed, in the context of the ELEKTRA FP4 project named, a Knowledge Management Methodology (EKD= Enterprise Knowledge Development), to support structural changes in the European Electricity Supply Industry
  Link to ELEKTRA
  
  
• KPA was a partner in TITOSIM - an FP5 Growth project with participation of Israel Aircraft Industries, SNECMA, and the FIAT Development Center - that applied advanced statistical methodologies for reducing time to market on simulation platforms
  Link to TITOSIM
  
  
• KPA was responsible for statistical analysis and development of statistical tools in the PRONACOM project - an FP5 Growth project focused on the development of Nano-technology applications.
  Link to PRONACOM
  
  
• KPA was a member of Pro-ENBIS - A Thematic Network funded under FP5 in order to enhance the applications of Business and Industrial Statistics. Professor Kenett is the current President of ENBIS.
  Link to ENBIS
  
  
• KPA developed under BEST, an FP5 IST project coordinated by the university of Cranfield in the UK, a methodology for BEtter System enTerprise implementation. The methodology is focused on improving the implementation of ERP, CRM and PDM systems.
  Link to BEST

• KPA is a partner in an FP6 project called MUSING (MUlti-industry, Semantic-based nextgeneration business INtelliGence). MUSING aims at developing a new generation of Business Intelligence (BI) tools and modules based on semantic-based knowledge and content systems. MUSING integrates Semantic Web and Human Language Technologies and combines declarative rule-based methods and statistical approaches for enhancing the technological foundations of knowledge acquisition and reasoning in BI applications. The breakthrough impact of MUSING on semantic-based BI, and its paradigm of multi-industry potentiality, is implemented in user-driven RTD developments in three vertical domains:
  Finance, through development and validation of next generation (Basel II and beyond) semantic-based BI solutions, with particular reference to Credit Risk Management;
  Internationalisation, (i.e., the process that allows an enterprise to evolve its business from a local to an international dimension, hereby expressly focusing on the information acquisition work concerning international partnerships, contracts, investments) through development and validation of next-generation semantic-based internationalisation platforms;
  Operational Risk Management, through development and validation of semantic-driven knowledge systems for measurement and mitigation tools, with particular reference to operational risks faced by IT-intensive organisations.
  Link to MUSING

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