Invited speakers of IDA 2011
Title: Computational Sustainability
Abstract: Computational sustainability is a new interdisciplinary research field with the overall goal of developing computational models, methods, and tools to help manage the balance between environmental, economic, and societal needs for sustainable development. The notion of sustainable development - development that meets the needs of the present without compromising the ability of future generations to meet their needs - was introduced in Our Common Future, the seminal report of the United Nations World Commission on Environment and Development, published in 1987. In this talk I will provide an overview of computational sustainability, with examples ranging from wildlife conservation and biodiversity, to poverty mitigation, to large-scale deployment and management of renewable energy sources. I will highlight overarching computational challenges at the intersection of constraint reasoning, optimization, data mining, and dynamical systems. Finally I will discuss the need for a new approach that views computational sustainability problems as "natural" phenomena, amenable to a scientific methodology, in which principled experimentation, to explore problem parameter spaces and hidden problem structure, plays as prominent a role as formal analysis.
Short bio: Carla Gomes is a professor of computer science at Cornell University, with appointments in the computer science, information science, and applied economics and management departments. Her research has covered several themes in artificial intelligence and computer science, from the integration of constraint reasoning, operations research, and machine learning techniques for solving large-scale constraint reasoning and optimization problems, to the use of randomization techniques to improve the performance of exact search methods, algorithm portfolios, multi-agent systems, and game play.
Recently, Gomes has become immersed in the establishment of computational sustainability, a new interdisciplinary field that aims to develop computational methods to help balance environmental, economic, and societal needs to support a sustainable future. Gomes has started a number of research projects in biodiversity conservation, poverty mapping, the design of "smart" controls for electric cars, and pattern identification for material discovery (e.g., for fuel cell technology).
Gomes obtained a PhD in computer science in the area of artificial intelligence and operations research from the University of Edinburgh. She also holds an MSc in applied mathematics from the Technical University of Lisbon. Gomes is the lead principal investigator on an award from the National Science Foundation's Expeditions in Computing program, the director of the newly established Institute for Computational Sustainability at Cornell, and a fellow of the Association for the Advancement of Artificial Intelligence. Gomes is currently a Fellow at the Radcliffe Advanced Study Institute at Harvard University.
Title: Bisociative Knowledge Discovery
Abstract: Data analysis generally focusses on finding patterns within a reasonably well connected domain of interest. In this article we focus on the discovery of new connections between domains (so called bisociations), supporting the creative discovery process in a novel way. We motivate this approach, show the difference to classical data analysis and conclude by briefly illustrating some types of domain-crossing connections along with illustrative examples.
Short bio: After receiving his PhD from Karlsruhe University, Germany Michael Berthold
spent over seven years in the US, among others at Carnegie Mellon
University, Intel Corporation, the University of California at Berkeley and
- more recently - as director of an industrial think tank in South San
Since August 2003 he holds the Nycomed-Chair for Bioinformatics and
Information Mining at Konstanz University, Germany where his research
focuses on using machine learning methods for the interactive analysis of
large information repositories in the Life Sciences. Most of the research
results are made available to the public via the open source data mining
M. Berthold is Past President of the North American Fuzzy Information
Processing Society, Associate Editor of several journals and the President
of the IEEE System, Man, and Cybernetics Society.
He has been involved in the organization of various conferences, most
notably the IDA-series of symposia on Intelligent Data Analysis and the
conference series on Computational Life Science.
Together with David Hand he co-edited the successful textbook "Intelligent
Data Analysis: An Introduction" which has recently appeared in a completely
revised, second edition. He is also co-author of the brand-new "Guide to
Intelligent Data Analysis"
(Springer Verlag) which appeared in summer 2010.
Title: Intelligent Data Analysis: Keeping Pace with Technological Advances
Abstract: Over the past few decades, we have witnessed significant advances in technology that have done so much to change the way we live and communicate, e.g. the medical and biotechnology, the internet and mobile technology etc. Often these technologies lead to a huge amount of data being generated, and making best use of these technologies often depends on how best to interpret these data in the context of many problem solving and complex systems. Intelligent Data Analysis is needed to address the interdisciplinary challenges concerned with the effective analysis of data. In this talk, I will look into a range of real world complex systems via technological changes and explore the role of IDA in these systems, in particular, how to ensure that quality data are obtained for analysis, to handle human factors and domain knowledge with care, to meet challenges in modelling dynamic systems, as well as to consider all these when analysing complex systems.
Short bio: Xiaohui Liu has been Professor of Computing at Brunel University since 2000
where he directs the Centre for Intelligent Data Analysis, conducting
interdisciplinary research involving artificial intelligence, dynamic
systems, human-computer interaction, signal processing and statistical
pattern recognition. Xiaohui has been working with talented life, clinical
and physical scientists on a variety of challenging data analysis problems,
and he was the founding chair of the International Symposia on Intelligent
Title: Web Mining or The Wisdom of the Crowds
Abstract: The Web continues to grow and evolve very fast, changing our daily
lives. This activity represents the collaborative work of the millions
of institutions and people that contribute content to the Web as well as
the one billion people that use it. In this ocean of hyperlinked
data there is explicit and implicit information and knowledge.
Web Mining is the task of analyzing this data and extracting information
and knowledge for many different purposes. The data comes
in three main flavors: content (text, images, etc.),
structure (hyperlinks) and usage (navigation, queries, etc.), implying
different techniques such as text, graph or log mining. Each case
reflects the wisdom of some group of people that can be used to make the
Web better. For example, user generated tags in Web 2.0 sites.
In this talk we walk through this process and give specific examples.
Short bio: Ricardo Baeza-Yates is VP of Yahoo! Research for Europe, Middle East and Latin America, leading the labs at Barcelona, Spain and Santiago, Chile, as well as supervising the newer lab in Haifa, Israel. Until 2005 he was the director of the Center for Web Research at the Department of Computer Science of the Engineering School of the University of Chile; and ICREA Professor at the Dept. of Technology of the Univ. Pompeu Fabra in Barcelona, Spain. He is co-author of the best-seller book Modern Information Retrieval, published in 2010 by Addison-Wesley (second edition), as well as co-author of the 2nd edition of the Handbook of Algorithms and Data Structures, Addison-Wesley, 1991; and co-editor of Information Retrieval: Algorithms and Data Structures, Prentice-Hall, 1992, among more than 200 other publications. He has received the Organization of American States award for young researchers in exact sciences (1993) and with two Brazilian colleagues obtained the COMPAQ prize for the best CS Brazilian research article (1997). In 2003 he was the first computer scientist to be elected to the Chilean Academy of Sciences. During 2007 he was awarded the Graham Medal for innovation in computing, given by the University of Waterloo to distinguished ex-alumni. In 2009 he was awarded the Latin American distinction for contributions to CS in the region and became an ACM Fellow.