Ernesto Damiani is a professor at the Department of Information Technology of the University of Milan, where he leads the Secure Software Architectures Lab (SESAR - http://ra.crema.unimi.it). He is also the Director of the University of Milan's Ph.D. program in Computer Science. Ernesto has held visiting positions at George Mason University, VA (USA), La Trobe University, Melbourne, Australia, and the University of Technology, Sydney, Australia. His research interests include business process representation and metrics, knowledge extraction and processing, secure service-oriented architectures, software process engineering and soft computing. On these topics he has filed international patents with companies like Siemens and British Telecom and published more than 180 refereed papers in international journals and conferences, as well as several books. Ernesto is the Vice-Chair of the IEEE TC on Industrial Informatics, the Chair IFIP WG on Data Semantics (WG 2.6) and the Vice-Chair of the IFIP WG 2.13 on Open Source Software. Ernesto Damiani has a wide experience is journal editorships, as an Associate Editor of the IEEE Transactions on Service Computing, an Area Editor at the Journal of System Architecture, and as the co-Editor in Chief of the International Journal of Electronic Trade. He serves in the steering committee of other journals, such as the International Journal of Knowledge-Based Intelligent Engineering Systems and International Journal of Technology Enhanced Learning.
His Talk is titled: Handling Risk in Large-scale Digital Business Collaborations
In the context of traditional business processes, risk has been considered mainly from a project management perspective; however, risk is an inherent property of every business collaboration. Currently, lack of techniques to identify, represent and analyze risks in large-scale digital business collaborations is a major concern because both operational risk mitigation and legal responsibility of the process participants depend on having correctly identified and managed collaboration risk. Knowledge sharing is a major source of business risk, as selfish or malicious actors will extract from the process’ information flows they have access to new knowledge, they will use for their own advantage. This disclosure risk depends on the collaboration goals and on the value of disclosed information, which changes over time. Also, disclosure risk depends on the attack model, i.e. on how the peers can be expected to misbehave. In the past, much research work has been done on analyzing the risk of running collaborations either in the presence of rational (selfish) participating entities (actors) or in the presence of malicious actors. The first case requires a game-theoretical approach where one needs to provide incentives for the rational nodes to prevent them from disclosing information (as they act upon their self-interest). The second case has been mostly studied by the distributed computing research community, which has proposed robust protocols to alleviate the effect of malicious behavior. The talk will discuss a methodology for enabling business process designers to dynamically compute orchestrations that minimize the risk of knowledge disclosure while minimizing the orchestration‘s own cost, in the presence of (i) changing information value and (ii) both rational and malicious actors.
Eunika MERCIER-LAURENT is a Global Innovation Strategist and Founder of SMLE - for Knowledge and Innovation Management since 1994, President of Innovation3D, and E100 expert of ENTOVATION International since 1996. Her own specialties include: sustainable innovation management, architecture of knowledge flow, complex industrial problem solving using knowledge engineering methods and tools, collective experience for technical diagnostic and risk management, collective intelligence, knowledge discovery, decision support systems, e-learning and knowledge transfer methods. Electronic engineer graduated from Polytechnika of Warsaw (Poland), she published her Ph.D. thesis in INRIA and University Paris Diderot on natural language retrieval from data bases. Later, she worked as researcher in INRIA on the design of the first personal workstation for collaborative work - buroviseur. In 1982 she joined Groupe Bull, international computer company to work on the design of DPS7 large computer. Since 1987 she has been involved in artificial intelligence tools and methods complex industrial problem solving and innovative applications worldwide (CEDIAG Groupe Bull). She is Associate Researcher at IAE (University Jean Moulin Lyon), where she got her HDR in 2007. She is teacher and e-teacher of Knowledge Innovation and knowledge thinking approach in engineering schools and universities. She is member of Institut F.R. Bull, multidisciplinary group working on influence of new technologies on different areas like decision in complex environment, complex systems security, medicine; influence of natural on artificial brains and machines. Other honors and activities: Board of AFIA, CAAI; EC, OSEO, ANR expert, cofounder of the Mediterranean University of Innovation, Global Forum steering committee since 2005, SIG Editor on the European Knowledge board, organizer and co-organizer of several scientific conferences and a member of IFIP TC12 and chair of TC 12.6 on Knowledge Management. She is frequently invited talk at the international conferences, author of tutorials and over 30 international publications.
Her Talk is titled: Digital Ecosystems for Knowledge Economy
Knowledge Economy involves some radical changes compared to industrial era. According to 5th generation of management methods the organizational structures are evolving from hierarchical to symbiotic networks. Mobile knowledge cultivators work from everywhere. To increase their effectiveness they need intelligent knowledge processors to assist them in their activities in all contexts: professional, company as a whole and society. Such processors are able to solve problems, to find relevant information, to learn, to connect to persons or device who 'knows', to suggest a solution by analogy with existing and to amplify human innovative capacity. The main challenge for digital ecosystems is help people in the transition from industrial to knowledge economy: to train them to be flexible, to think differently, to innovate useful without destroying the natural ecosystems. What methods and tools to conceive such ecosystems? Some extended AI approaches can be useful. The convergence of natural and artificial intelligences my help, but the one of most important is to transform the traditional ICT to another ICT – Intelligent and Creative Technology. This talk introduces the holistic, system and global way of thinking.