The Ultimate Web Intelligence: Computational Social Science
Abstract: Computational Social Science (CSS) is the use of Web Intelligence and the tools and technology capable of monitoring, analyzing, diagnosing, and resolving day-to-day problems of society. CSS is the development of intelligent systems and solutions to address the critical problems of the society such as poverty and hunger, slavery and torture, disease and suffering, and create tools that enable an illiterate person to be as productive as a PhD. Computer Science and Artificial Intelligence must embrace CSS as the next frontier in Web intelligence and Web Intelligence and WIC need to be at the forefront of inventing that future.
Biography: Dr. Raj Reddy is the Moza Bint Nasser University Professor of Computer Science and Robotics in the School of Computer Science at Carnegie Mellon University. He was an Assistant Professor of Computer Science at Stanford from 1966-69 and a faculty member at Carnegie Mellon faculty since 1969. He served as the founding Director of the Robotics Institute from 1979 to 1991 and the Dean of School of Computer Science from 1991 to 1999. Dr. Reddy’s research interests include the study of human-computer interaction and artificial intelligence. His current research interests include: Technology in Service of Society, Voice Computing for the 3B semi-literate populations at the bottom of the pyramid, Digital Democracy, and Learning Science and Technologies. He is a member of the National Academy of Engineering and the American Academy of Arts and Sciences. He was president of the American Association for Artificial Intelligence from 1987 to 1989.
In 1994, he received the ACM Turing Award, the highest honor in Computer Science, for his contributions to the field of Artificial Intelligence. He served as co-chair of President Clinton’s Information Technology Advisory Committee (PITAC) from 1999 to 2001. In 2006, he was the recipient of Vannevar Bush Award, the highest Award of the National Science Foundation in the United States, for “lifetime contributions to science and long-standing statesmanship in science and on behalf of the nation”. Dr. Reddy was awarded the Legion of Honor by President Mitterand of France in 1984, Padma Bhushan by President of India in 2001, the Okawa Prize in 2004, and the Honda Prize from Japan in 2005.
Amit Sheth – Executive Director of Kno.e.sis Center and Professor at Wright State University, USA
Semantic, Cognitive, and Perceptual Computing – three intertwined strands of a golden braid of intelligent computing
Abstract: While Bill Gates, Stephen Hawking, Elon Musk, Peter Thiel, and others engage in OpenAI discussions of whether or not AI, robots, and machines will replace humans, proponents of human-centric computing continue to extend work in which humans and machine partner in contextualized and personalized processing of multimodal data to derive actionable information.
In this talk, we discuss how maturing towards the emerging paradigms of semantic computing (SC), cognitive computing (CC), and perceptual computing (PC) provides a continuum through which to exploit the ever-increasing and growing diversity of data that could enhance people’s daily lives. SC and CC sift through raw data to personalize it according to context and individual users, creating abstractions that move the data closer to what humans can readily understand and apply in decision-making. PC, which interacts with the surrounding environment to collect data that is relevant and useful in understanding the outside world, is characterized by interpretative and exploratory activities that are supported by the use of prior/background knowledge. Using the examples of personalized digital health and a smart city, we will demonstrate how the trio of these computing paradigms form complementary capabilities that will enable the development of the next generation of intelligent systems. For background: http://bit.ly/PCSComputing
Biography: Prof. Amit Sheth (http://knoesis.org/amit) is an Educator, Researcher and Entrepreneur. He is the LexisNexis Ohio Eminent Scholar, an IEEE Fellow, and the executive director of Kno.e.sis-the Ohio Center of Excellence in Knowledge-enabled Computing at Wright State University. Kno.e.sis has ~75 researchers, including 15 faculty and ~60 funded students. In World Wide Web (WWW), it is placed among the top 10 universities in the world based on 10-yr impact. He has founded three companies, continues to advise/direct startups in semantics and healthcare; several commercial products and deployed systems have resulted from his research. Taalee/Semagix, founded in 1999 developed the first knowledge driven semantic search product, similar to the one popularized in 2013 by Google’s knowledge graph enhanced semantic search. He is one of the 100 most cited computer scientists (h-index 94). Some of the recent themes he coined/popularized include smart data (2004), citizen sensing (2008), semantic perception (2008), and continuous semantics (2008). His former students are exceptionally successful as academics in research universities, researchers in industry, and successful entrepreneurs; average citations for his first 18 past PhD students exceed 1,800 (http://j.mp/Kimpact).
Cristiano Castelfranchi – Director of the Institute for Cognitive Sciences and Technologies at University of Siena, Italy
Cognition & Self-Organization in a Hybrid Society & Coupled Reality: The role of AI
Abstract: We are not just building a new technology but a new Socio-Cognitive-Technical System, a new form of society, an anthropological revolution. We are social engineers. Are we aware of? I will focus on some problems and dangers of the Digital and WEB Revolution and of the “mixed” (virtual and physical) reality and “hybrid” society (natural and artificial intelligences) we will live in. Not just Privacy, Security, War and Artificial soldiers/arms, Ethics inside Artificial creatures and algorithms and so on, but less discussed problems, like the need for a decentralized control, for a understanding and dealing with self-organization, for becoming aware of the interest behind the “invisible hand” and the “spontaneous” emerging “order”. The possibility to improve human intelligence of social dynamics, an effective democracy, and reducing manipulation and alienation. The role of distributed intelligences and of computer modeling and social simulation, as a collective “imagination” power for planning, participation, and policies decisions. The need for dis-agreement technologies, defense of user’s interests, supporting and managing conflicts. The role of Intelligent social “presences” in our life and home; guardian angels and tempting devils. The need for a tutelary non-manipulative role.
Biography: Born Roma, Italy 1944. Full Prof. of Cognitive Science, University of Siena (2001-2011). Director of the Institute for Sciences and Technologies, National Research Council (2002-2011). Prof. Psychology and Economics, LUISS Univ. Roma (2005-2015). The guiding aim of Castelfranchi’s research is to study autonomous goal-directed behavior as the root of all social phenomena, at the same time highlighting how social interaction and structure shape individual cognition. He has played an important role in the promotion of the research communities of Agents and MAS, and of Social Simulation (Ex. Program Chair of the first International Conference on “Autonomous Agents & Multi-Agent Systems” – 2002).
Recognitions: 2013: IFMAAS Most Influential Paper Award; 2007: Mind & Brain prize (co-awarded with M. Tomasello), “for the integration of psychology in cognitive science and breakthroughs on autonomous agents”; 2003: ECCAI fellow, “for pioneering work in Artificial Intelligence”; Emeritus Member, Board of Directors of the International Foundation for Autonomous Agents and Multiagent Systems .
Impact: H-index=55, (Google Scholar), i10-index 190, Citations 14011.
His contributions were published and cited across several disciplinary areas, such as cognitive science (e.g. Behavioral and Brain Sciences), psychology (e.g. Cognitive Processing), computer science (e.g. Artificial Intelligence), philosophy (e.g. Synthese), and social sciences (e.g. International Review of Economics; Mind & Society; JASSS).
Frank Leymann – Professor at University of Stuttgart, Germany
Loose Coupling and Architectural Implications
Abstract: Loose coupling is a key architectural principle for ensuring a range of non-functional properties. It is extensively and successfully used in message queuing since many decades. In this talk we will show that service computing (in both styles, i.e. SOA-based as well as REST-based) is enabling loose coupling too. Based on this, the talk will argue why microservices is nothing really new. Best practices (aka patterns) will be discussed that help building loosely coupled applications for the cloud. The use of patters in architecting applications will reveal some opportunities for future research.
Biography: Frank Leymann is a full professor of computer science and founder of the Institute of Architecture of Application Systems (IAAS) at the University of Stuttgart, Germany. His research interests include middleware, service computing, workflow management, cloud computing, and patterns. The projects he is working on are funded by the European Union, the German Government, or directly by industry partners. Frank is co-author of about 350 peer-reviewed papers, nearly 60 patents, and several industry standards. Before moving to university he served as a Distinguished Engineer at IBM for two decades.
Matthias Klusch – Senior Researcher and Research Fellow of the German Research Center for Artificial Intelligence (DFKI), Germany
Intelligent Agents and Semantic Technologies for Industry 4.0: Showcases and Challenges
Abstract: About a decade ago, the fourth industrial revolution, also known as Industry 4.0, has been ushered by the introduction of the Internet of Things and Services into the manufacturing environment. Industry 4.0 is focused on creating smart products and processes flexibly in dynamic, real-time optimised and self-organising value chains, and profitably even down to production lot size of one. To rise up to this challenge, Industry 4.0 applications basically operate on the principles and use of autonomous cyber-physical systems with self-* properties for integrated production across the entire value chain. In particular, the IP-networked and sensor-equipped machinery, systems, vehicles and devices of smart factories are vertically and horizontally integrated with service-based business processes both within a company and inter-company value networks. Besides, cyber-physical production systems are envisioned to not only cooperate with each other but also with humans on a new level of sociotechnical interaction. From a holistic perspective, Industry 4.0 connects smart production closely with the areas of smart transport and logistics, smart buildings, and smart energy, while keeping humans in the loop via smart multimodal assistance in modern working environments. In this context, agent-based and semantic computing both with deep roots in AI are considered as keys to implement intelligent cyber-physical systems for Industry 4.0 scenarios in the future Internet. In this talk, I will present selected showcases of leveraging intelligent agents and semantic technologies for different Industry 4.0 applications, and discuss related research and societal challenges.
Biography: PD. Dr. Matthias Klusch is Senior Researcher and Research Fellow of the German Research Center for Artificial Intelligence (DFKI), and also Private Lecturer in computer science at the Saarland University in Saarbruecken, Germany. He is head of the Intelligent Information Systems (I2S) research team of the DFKI Agents and Simulated Reality department. His research is concerned with the application of AI, agent technologies, services computing, and semantic web technologies for intelligent data analysis and service coordination in intelligent information systems in support of industry and business, as well as our private and social life. He received his MSc and PhD degrees from the University of Kiel, and his habilitation (PD) degree in computer science from the Saarland University in Germany. Dr. Klusch has been adjunct professor of computer science at the Swinburne University of Technology in Melbourne, Australia, assistant professor at the Free University of Amsterdam and the Chemnitz University of Technology (Germany), and post-doctoral researcher at the Carnegie-Mellon University in Pittsburgh (USA). Among others, he is on the editorial board of five major international journals of semantic Web, information systems, and agent technologies, co-/organized numerous conferences in these areas, co-founded and is steering committee spokesman of the German conference series on multi-agent system technologies (MATES), was finalist of the ACM SIGART Award for Excellence in Autonomous Agent Research in 2008, and co-/authored more than 200 publications.
Christine Preisach – Vice President of Data Science in IoT and Digital Connected Assets at SAP, Germany
AI and Machine Learning in IoT
Abstract: Machine Learning is a hot topic in general, but even more in the area of Internet of Things because of the huge amount of data collected and the necessity to extract insights from it. Example use cases are predictive quality in manufacturing, predictive maintenance for machines, smart buildings, smart cities, smart logistics and many more. In this talk we will discuss why Machine Learning is important and focus on how Machine Learning can be successfully integrated into IoT applications and provide an outlook in the future of AI and Machine Learning in the space of IoT.
Biography: Christine Preisach is Vice President of Data Science in IoT and Digital Connected Assets at SAP, she leads a Data Science team which is in charge of integrating Machine Learning into IoT applications. She is shaping the Machine Learning strategy for SAP’s IoT offering and is making IoT applications intelligent. Her vision is that all applications are becoming intelligent, especially in the area of IoT.
Christine joined SAP in 2010 and besides her leadership role has worked as a Data Scientist in customer projects and in product management for IoT products. She studied Computer Science and holds a PhD in Machine Learning form University of Freiburg and University of Hildesheim.