Spring 2010Talk Series on
Networks and Complex Systems
Every Monday 6-7p, Wells Library 001 ~ Optional Dinner at at Lennie's
This talk series is open to all Indiana University faculty and students interested in network analysis, modeling, visualization, and complex systems research. A major intent is to cross-fertilize between research done in the social and behavioral sciences, research in natural sciences such as biology or physics, but also research on Internet technologies. See also the Wikipedia entries on graph theory, small world networks, power law, and complex networks, and self organizing systems.
Katy Börner <firstname.lastname@example.org> Victor H. Yngve Professor of Information Science, Cyberinfrastructure for Network Science Center, SLIS, IUB.
Time & Place
Every Monday 6:00-7:00pm in the Wells Library (formerly Main Library) at
Indiana University, Bloomington, Room 001. Right after the Cognitive
Science Colloquium Series. There is an optional dinner afterwards 7-9p
Fall 2004 | Spring
2005 | Fall 2005 |
Spring 2006 | Fall 2006 | Spring 2007 | Fall 2007 | Spring 2008 | Fall 2008
| Spring 2009 | Fall 2009
Related Courses at IUB
- S604 Metadata & Semantics by Ying Ding, SLIS
- COGS-Q540 Foundations of Cognitive Science by Colin Allen, HPS
- S604 The Semantic Web by John Paolillo, SLIS & Informatics
- I485/I585 Biologically-Inspired Computing by Luis Rocha, Informatics
- S604 Modeling and Simulation of Social and Organizational Behavior by Hamid Ekbia, SLIS
- P575 Biophysics by James Glazier, Physics
- P548 Introduction to Mathematical Biology by James Glazier, Physics
- VSCI-V 768 MATLAB by Nicholas Port, Optometry
- P747 Complex Adaptive Systems by Eliot Smith & Robert Goldstone, Psychological and Brain Sciences
- I590 The Simplicity of Complexity by Alessandro Vespignani & Alessandro Flammini, Informatics
- I601 Introduction to Complexity by Alessandro Vespignani & Alessandro Flammini, Informatics
- STAT 482/S682 Topics in Mathematical Statistics: Model Selection Methods by Guilherme Rocha,
- B669 Data Mining by Dirk Van Gucht, Computer Science
- P438 Fundamentals of Computer Networks by Raquel Hill, Computer Science
- P538: Computer Networks by Minaxi Gupta, Computer Science
- P582 Biological and Artificial Neural Networks by John Beggs, Physics
- P533/P534 Introduction to Bayesian Data Analysis I & II by John K. Kruschke (Spring 10)
- Econ 724 Network Formation Games by Frank Page, Economics (Spring 10)
- I486/I586 Artificial Life as Approach to AI by Larry Yaeger, Informatics (each Spring)
- S637 Information Visualization by Katy Börner, SLIS (each Spring)
Other Courses, not offered in Fall 09
- S636 Semantic Web by Ying Ding, SLIS
- B649 Internet Services & Protocols by Minaxi Gupta, Computer Science
- B553 Neural and Genetic Approaches to Artificial Intelligence by Mike Gasser, Computer Science
- STAT S475/S675: Statistical Learning and High-Dimensional Data Analysis by Michael Trosset,
- STAT S426/S626 Bayesian Theory and Data Analysis by Guilherme Rocha,
- I400/I590 (cross-listed in Cognitive Science) Seek and Find: Search Strategies in Space and Time by Peter M. Todd, Psychological and Brain Sciences, Cognitive Science & Informatics
- S682 Topics in Mathematical Statistics - Introduction to Graphical Models by Steen Andersson, Statistics
- Y673 Networks and Institutions by Armando Razo, Department of Political Science and the Workshop in Political Theory and Policy Analysis (Spring 11)
- COGS-Q580 An Introduction to Dynamical Systems in Cognitive Science by Randall Beer, Cognitive Science, Computer Science, and Informatics at IU
- COGS-Q700 Brain-Body-Environment Systems by Randall Beer, Cognitive Science, Computer Science, and Informatics (Fall 11)
- B656 Web Mining by Filippo Menczer, Informatics and Computing
- S603 Agent-Based Modeling and GIS by Hamid Ekbia, SLIS (Summer Workshop)
- S604 Structural Data Mining & Modeling by Katy Börner, SLIS
- INFO I400/H400 Linked: The science of networks from the social atom to Facebook by Alex Vespignani & Fil Menczer (Ugrad, Fall 2010)
Networks and Complex Systems Centers at Indiana University
Links to people, projects, groups, students, courses and news related to complex systems and networks research at Indiana University are also available via
This talk series is sponsored by the Cyberinfrastructure for Network Science Center and the School of Library and Information Science.
Related Talk Series
Colloquium on Complexity and Social Networks organized by David Lazer
at Harvard U
The Age of Networks speaker series organized by Noshir Contractor, UIUC & NCSA
NICO Seminars organized by NICO, Northwestern University
1/18Martin Luther King Day
1/25 and 2/1No talks scheduled
2/8 Mathew Palakal & Jake Chen, School of Informatics and Computing, IUPUI
Bibliomics, Literature Mining, and Knowledge Discovery
Abstract: Bibliomics plays an important role in Systems Biology research along with the other “omics” such as genomics, proteomics, metabolomics, etc. Biological literature databases continue to grow rapidly with vital information that is important for conducting sound biomedical research. As data and information space continue to grow exponentially, the need for rapidly surveying the published literature, synthesizing, and discovering the embedded "knowledge" is becoming critical to allow the researchers to conduct "informed" work, avoid repetition, and generate new hypotheses. Knowledge, in this case, is defined as one-to-many and many-to-many relationships among biological entities such as gene, protein, drug, disease, etc. In this talk, we present a literature mining system called BioMAP. The BioMAP tool can carry out large-scale biomedical literature mining that could enhance the ability of biological researchers to formulate methods for the analysis of biological data such as identifying biological pathways and provide support for disease target and new biomarker discovery. Results from a large-scale literature mining on documents related to colon rectal cancer will be presented to illustrate that novel pathways and biomarkers can be found if exhaustive mining is used instead of relying on limited manually curated literature documents.
Bio: Dr. Palakal is currently the Associate Dean for Research and Graduate Program in the School of Informatics and Professor of Computer Science in the School of Science. He is also the Director of Informatics Research Institute where he is leading numerous industry and community related projects. His lab, TiMAP (Text information Mining Analysis and Prediction) is currently focusing on problems related to biomedical and health literature mining to discover domain specific knowledge, see http://regen.cs.iupui.edu/research.
2/11 (Thursday)Bruce Weinberg, Department of Economics, OSU and Research Fellow, Institute for the Study of Labor, National Bureau of Economic Research
Recent Work on the Economics of Innovation (paper under revision)
Abstract: This work comprises three interrelated components. The first studies shifts in scientific competitiveness over the course of the 20th century. The second component assesses the importance of knowledge spillovers among innovators. The third component studies changes in the age at which people make important scientific contributions
- “Scientific Leadership”: from Europe as a whole and Germany in particular to the US during the 20th Century;
- An Assessment of British Science over the 20th Century: the consistency of British scientific growth during an “American” Century;
- “Developing Science: Scientific Performance in the Developing World:” A look at where scientists are being born, where they choose to research, and the parameters that explain why;
- “Scientific Revolutionaries: Geography, Vintage, and Participation in Scientific Revolutions:” A study of the role played by Geography and vintage in the development and diffusion of quantum physics.
Knowledge Spillovers: How knowledge spillovers among innovators generate innovation.
Age and Innovation: The marked difference over time in the age-creativity relationship, with important contributions coming later in scientific careers
Bio: Dr. Weinberg's work combines theoretical and empirical interests. Most of his papers develop theoretical models and illustrate their importance empirically. His research also tends to be question-driven rather technique-driven. He tries to use whatever techniques (both theoretical and empirical) are most appropriate for addressing a particular question, and as a consequence employs a broad range of techniques. Much of his research, across the various areas of interest, draws on work in sociology and psychology, incorporating results from these literatures into economic models.
2/15 Matthias Scheutz, Cognitive Science, Computer Science, and Informatics, IUB
The limited utility of communication for simple organisms
Abstract: Many forms of signaling have evolved in the animal
kingdom for different purposes (including indicating food, signaling
danger, and attracting mates). Yet, there are very few species that are
capable of "representational signaling" or what we will call
"communication". In this talk, we will report results from extensive
artificial life simulations that point to the limited benefits
communication has for simple agents in biologically inspired foraging
tasks and show that communication can even have detrimental effects on
performance in certain environments. Using a combination of statistical
analyses of simulation results and complexity-theoretic considerations
regarding the (computational) cost of components in agent control
architectures, we will argue for the limited utility of communication
for any kind of simple organism in an evolutionary setting. The upshot
of the argument is that simple agents with simple architectures need
very special environmental conditions for communication to benefit them
and thus to evolve. We will conclude with a few speculative thoughts
about what evolutionary pressures might have been at work in cases where
communication did evolve.
Bio: Matthias Scheutz received degrees in philosophy (M.A. 1989, Ph.D.
1995) and formal logic (M.S. 1993) from the University of Vienna and in
computer engineering (M.S. 1993) from the Vienna University of
Technology (1993) in Austria. He also received the joint Ph.D. in
cognitive science and computer science from Indiana University in 1999.
Matthias is currently an associate professor of informatics and computer
science in the School of Informatics and Computing, associate professor
of cognitive science in the Cognitive Science Program and adjunct
associate professor in the Department of Psychological and Brain
Sciences in the College of Arts and Sciences at Indiana University where
he also directs the Human-Robot Interaction Laboratory. He has over 100 peer-reviewed publications in artificial intelligence,
artificial life, agent-based computing, natural language processing,
cognitive modeling, robotics, swarms, human-robot interaction and
foundations of computing and cognitive science. His current research
and teaching interests include multi-scale agent-based models of social
behavior and complex cognitive and affective robots with natural
language capabilities for natural human-robot interaction.
2/22 David Hachen, Department of Sociology, University of Notre Dame
Weighted Reciprocity in a Human Communication Network
Abstract: Weighted reciprocity, the relative balance of interaction flows in a dyad, is an understudied topic in social network research because very few network datasets contain information on the frequency of contact between two people. Using data on the calling patterns of 9 million subscribers of a cellular telephone network over a two month period in 2008, we find that weighted reciprocity has a long-tailed distribution, with most dyads characterized by reciprocity, but a significant minority of dyads being non-reciprocal. We show that variability in the level of reciprocity is related to vertex similarity. Dyads with vertices that are dissimilar in degree (as well as age and physical location) tend to be reciprocal, while dyads with degree similar vertices vary in their reciprocity levels. Among degree-similar dyads, non-reciprocity is greater when the vertices are more dissimilar in their vertex strength, i.e. the extent to which each party makes calls to other people. These findings call into question sociological theories that view reciprocity as an outgrowth of strong ties among similar people. Instead we propose a dynamic model in which tie decay among degree-similar dyads is less sensitive to non-reciprocity. While in general non-reciprocal dyads are less likely to persist than reciprocal ones, some non-reciprocal dyads persist and these dyads tend to be ones in which the vertices are similar. We conclude by speculating about the possible causes of this greater tolerance for non-reciprocity among degree similar dyads.
Bio: David Hachen is Associate Professor of Sociology and Co-Director Inter-Disciplinary Center for Network Science and Applications (iCeNSA) at the University of Notre Dame. His major interest is in social networks, especially dynamic models of their evolution. Through iCeNSA David works with other social scientists, physicists, mathematicians, computer scientists and electrical and civil engineers on a wide range of projects involving networks including the “Longitudinal Analysis and Modeling of Large-Scale Social Networks Based on Cell Phone Records,” the “Open Sourcing the Design of Civil Infrastructure,” and the recently created Social/Cognitive Network Academic Research Center (SCNARC) funded by the Army Research Lab through the Network Science Collaborative Technology Alliance Program.
3/4 (Thursday) | 3:30-5:00 pm *Wells Library E174*
Semantic Web and Mapping of Science (as part of the NSF/JSMF Workshop on Mapping Science and Semantic Web)
Web 3.0 Emerging by Jim Hendler, Tetherless World Professor of Computer and Cognitive Science, RPI
Abstract: There are currently several different approaches to semantics, semantic technologies, and the Semantic Web floating around. While the uptake of these technologies is going well, there is still confusion about what sort of technology fits where and how it works. The confusion is made worse because the term "ontology" is used in a number of different ways. In this talk, I will describe how different sorts of models can be used to link data in different ways. I will particularly explore different kinds of Web applications, from Enterprise Data Integration to Web 3.0 startups, the different needs of Web 2.0 and 3.0, and the different kinds of techniques needed for these different approaches.
Bio: See his talk in Friday below.
Science in the age of the Web: The end of the scientific paper as we know it by Frank van Harmelen Vrije Universiteit Amsterdam
Abstract: Since the early days of modern science, scientists have been communicating their results in the same way: scientists write their findings down in papers, these are published in journals, which are read and cited by other scientists, who then produce a new batch of papers. And even though we now publish all our papers on the Web, this model has essentially remained unchanged since the 17th century. I will argue that the Web will have a much more profound influence on science. We are on the brink of a very new way of doing science, and of a very new way of reporting about science. I will show how the availability of very large volumes of on-line data is already changing many scientific disciplines, ranging from physics and astronomy to the social sciences and the humanities. And I will argue that in the (near?) future, we will stop publishing papers in the form we have known for centuries and start building an on-line network of claims and counterclaims, of arguments and evidence, in which scientists interactively build a giant on-line network of knowledge.
Bio: Frank van Harmelen (1960) is a professor in Knowledge Representation & Reasoning in the AI department (Faculty of Science) at the Vrije Universiteit Amsterdam. After studying mathematics and computer science in Amsterdam, he moved to the Department of AI in Edinburgh, where he was awarded a PhD in 1989 for his research on meta-level reasoning. While in Edinburgh, he co-developed a logic-based toolkit for expert systems, and worked with Prof. Alan Bundy on proof planning for inductive theorem proving. After his PhD research, he moved back to Amsterdam where he worked from 1990 to 1995 in the SWI Department under Prof. Wielinga, on the use of reflection in expert systems, on the formal underpinnings of the CommonKADS methodology for Knowledge-Based Systems. In 1995 he joined the AI research group at the Vrije Universiteit Amsterdam, where he co-lead the On-To-Knowledge project, on of the first Semantic Web projects. He was appointed full professor in 2002, and is leading the Knowledge Representation and Reasoning Group. He was one of the co-designers of the OWL Web Ontology Language Language. He is currently scientific director the LarKC project (http://www.larkc.eu), aiming to develop the Large Knowledge Collider, a platform for very large scale semantic web reasoning. His interests include: Approximate reasoning, Semantic Web, Medical Protocols.He has published three books (on meta-level inference, on knowledge-based systems, and on the Semantic Web) and over 100 research papers, most of which can be found on-line.
Interactive Maps of Science and Technology by Katy Börner, SLIS, Indiana University, Bloomington
Maps of science and technology aim to communicate the results of different types of analyses such as temporal, geospatial, topical, network analysis or modeling efforts to help answer when, where, what, with whom, and why questions respectively. Maps might show different scales such as micro/individual (1-100 records), meso/local (101–10,000 records), or macro/global (10,000 < records). They might be presented as static high resolution printouts on paper or as interactive yet lower resolution applications and services on hand held devises, desktop monitors, or large display walls. This talk will present recent developments in the design of interactive maps of science and technology together with possible future developments involving the semantic web.
Bio: Katy Börner is the Victor H. Yngve Professor of Information Science at the School of Library and Information Science, Adjunct Professor at the School of Informatics and Computing, Adjunct Professor at the Department of Statistics in the College of Arts and Sciences, Core Faculty of Cognitive Science, Research Affiliate of the Biocomplexity Institute, Fellow of the Center for Research on Learning and Technology, Member of the Advanced Visualization Laboratory, and Founding Director of the Cyberinfrastructure for Network Science Center (http://cns.slis.indiana.edu) at Indiana University. She is a curator of the Places & Spaces: Mapping Science exhibit (http://scimaps.org). Her research focuses on the development of data analysis and visualization techniques for information access, understanding, and management. She is particularly interested in the study of the structure and evolution of scientific disciplines; the analysis and visualization of online activity; and the development of cyberinfrastructures for large scale scientific collaboration and computation. She holds a MS in Electrical Engineering from the University of Technology in Leipzig, 1991 and a Ph.D. in Computer Science from the University of Kaiserslautern, 1997.
3/5 (Friday) | 1:30 pm James Hendler, Rensselaer Polytechnic Institute *Wells Library E174*
We are the Web: From Semantic Web to Social Machine (as part of the NSF/JSMF Workshop on Mapping Science and Semantic Web)
Abstract: Although the read/write world of Web 2.0 is now commonplace - even your parents use Facebook - the promise of massive scale human computing has barely begun to be exploited. New technologies, including the Semantic Web, mobile computing, and open data suggest ways that far more powerful systems than those we have today could be created, empowering humanity to help address some of our key problems. The potential for the sharing of data and knowledge, among willing participants, makes it possible to envision declarative models for creating and evolving new Web technologies that would more open and distributed systems. Further, by explicating the social, not just the technical, protocols, new models of information control that encourage, rather than prohibit, sharing can be explored. In this talk we explore the potential for next-generation social machines, explore some of the challenges, and look at promising technologies for the future.
Bio: Jim Hendler is the Tetherless World Professor of Computer and Cognitive Science, and the Assistant Dean for Information Technology, at Rensselaer. He is also a faculty affiliate of the Experimenal Multimedia Performing Arts Center (EMPAC), serves as a Director of the international Web Science Research Initiative, and is a visiting Professor at the Institute of Creative Technology at DeMontfort University in Leicester, UK. One of the inventors of the “Semantic Web,” Hendler was the recipient of a 1995 Fulbright Foundation Fellowship, is a member of the US Air Force Science Advisory Board, and is a Fellow of the American Association for Artificial Intelligence and the British Computer Society. He is also the former Chief Scientist of the Information Systems Office at the US Defense Advanced Research Projects Agency (DARPA) and was awarded a US Air Force Exceptional Civilian Service Medal in 2002. He is the Editor-in-Chief emeritus of IEEE Intelligent Systems and is the first computer scientist to serve on the Board of Reviewing Editors for Science.
3/8No talk scheduled
3/22 Alan Porter, Director, R&D Search Technology, Inc., Co-Director, Technology Policy & Assessment Center, Georgia Tech and Ismael Rafols, Technology Policy and Assessment Center, and School of Public policy.
Georgia Institute of Technology, Atlanta, Georgia.
Diversity and Network Coherence as Indicators of Interdisciplinarity: Case Studies in Bionanoscience
Abstract: The multidimensional character and inherent conflict with categorisation of interdisciplinarity makes its mapping and evaluation a challenging task. We propose a
conceptual framework that aims to capture interdisciplinarity in the wider sense of knowledge integration, by exploring the concepts of diversity and coherence. Disciplinary diversity indicators are developed to describe the heterogeneity of a bibliometric set viewed from predefined categories, i.e. using a top-down approach that locates the set on the global map of science. Network coherence indicators are constructed to measure the intensity of similarity relations within a bibliometric set, i.e. using a bottom-up approach, which reveals the structural consistency of the publications network. We carry out case studies on individual articles in bionanoscience to illustrate how these two perspectives identify different aspects of interdisciplinarity: disciplinary diversity indicates the largescale breadth of the knowledge base of a publication; network coherence reflects the novelty of its knowledge integration. We suggest that the combination of these two approaches may be useful for comparative studies of emergent scientific and technological fields, where new and controversial categorisations are accompanied by equally contested claims of novelty and interdisciplinarity.
Bio: Alan Porter is Professor Emeritus of Industrial & Systems Engineering, and of Public Policy, at Georgia Tech, where he remains Co-director of the Technology Policy and Assessment Center. He is also Director of R&D for Search Technology, Inc., Norcross, GA. He is author of some 220 articles and books, including Tech Mining (Wiley, 2005). Current research emphasizes research profiling, innovation indicators, science mapping, and forecasting of emerging technology innovation pathways.
Dr. Ismael Rafols is Research Fellow at SPRU (Science and Technology Policy Research), the University of Sussex, one of the world leading centres in innovation studies. He investigates the emergence and governance of hybrid scientific fields, such as bionanotechnology or synthetic biology, relying on expert interviews adn bibliometric tools. His recent research focuses on the development of mapping methods to identify areas/topics of knowledge integration.
3/29 Donald Byrd, School of Informatics & Jacobs School of Music,
Indiana University Bloomington
A Universal System for Exploring (and Creating) Time-Based Phenomena
Abstract: The world is full of complex temporal (time-based) phenomena, both natural and cultural: to name a few, chemical reactions, animal movement, movies, football games, multimedia shows, weather, operas, political crises, illnesses, wars, development of individuals, development of species, and development of geographic features. These things are always difficult to study or -- for performances of all kinds, whether artistic or athletic -- to create because they don't "sit still", so to speak. The usual answer to this problem is, of course, visualization. But, to my knowledge, every visualization system to date is limited to a specific domain. This is unfortunate because the synergy possible with a more general approach is enormous. Furthermore, presentations in audio and even tactile form can be as useful as visual presentation. I am building a system for exploring any temporal phenomenon via any type of presentation. Initial work has focused on my own field, music, but I'll give examples from other disciplines including nanoscience and biology.
Bio: Donald Byrd studied music composition at Indiana University in the late 1960’s, then became interested in computers and their potential to help musicians. After some years as a programmer and consultant at the University’s academic computing support services, he received a Ph.D. in Computer Science with a dissertation on music notation by computer. Since then, Byrd has worked extensively both in industry and academia. He did sound design and programming for a digital synthesizer company and software engineering for a GIS company, and he led development of the influential music-notation program Nightingale. His academic background includes research on music notation by computer; work on information retrieval in text, especially visualization and human/computer interaction aspects; and work on music information retrieval, digital music libraries, and optical music recognition. Most recently, he has been working on the “General Temporal Workbench”, a timeline-based system for visualizing, exploring, creating, and “playing” (in the sense of playing a recording) any phenomenon that occurs over time, on any timescale from fractions of a femtosecond to billions of years. Dr. Byrd is currently senior scientist and adjunct associate professor in the School of Informatics and Jacobs School of Music at IU Bloomington.
4/5 Vincent Larivière, History and Sociology of Science,
Department of History,
Université du Québec à Montréal, Canada ** 4pm, LI030**
On the shoulders of students: the contribution of graduate students to the production of knowledge
Abstract: Doctoral students form an important part of the academic workforce. However, little is known on their overall contribution to science. Using the participation in peer reviewed publications of all doctoral students in Quebec over the 2000-2007 period (N=27,393) this paper provides the first large scale analysis of their research effort. It shows that, for all disciplines combined, PhD students contribute to about a third of the publication output of the province, with doctoral students in the natural and medical sciences being present in a higher proportion of papers published than their colleagues of the social sciences and humanities. Collaboration is an important component of this socialization: disciplines in which student collaboration is higher are also those in which doctoral students are the most involved in peer-reviewed publications. Although the papers to which doctoral students contributed are more often written in collaboration, they are less likely the result of an international one. In terms of scientific impact, papers co-signed by doctorate students obtain significantly lower citation rates than other Quebec papers, except in natural sciences and engineering. Finally, this paper shows that socializing doctoral students to the publication activity has a positive effect on degree completion and ulterior career in research.
Bio: Vincent Larivière has recently submitted his doctoral thesis at the School of information Studies at McGill University, where he worked under the supervision of Professors Jamshid Beheshti (McGill) and Yves Gingras (UQAM). He also holds a bachelor's in Science, Technology and Society (STS) and a master's degree in history of science, both from UQAM. Since 1999, Vincent is a researcher at the Observatoire des sciences et des technologies (OST-UQAM), where he is responsible for most of the research contracts in bibliometrics sponsored by Canadian research councils, governments and universities. Vincent is also the author of many research papers published in international journals, as well as of several conference proceedings and book chapters. Many of these studies have received extensive media coverage – both in scientific journals and in Canadian and foreign newspapers. Scholarship-holder from the Social Sciences and Humanities Research Council of Canada, the Centre interuniversitaire de recherche sur la science et la technologie and the European University Institute Vincent teaches bibliometrics and research methods to undergraduate students in UQAM's STS programs since 2003 and is frequently invited by Canadian universities and governmental agencies to lecture on bibliometrics.
4/5 Yves Gingras, Canada Research Chair in History and Sociology of Science,
Department of History,
Université du Québec à Montréal, Canada
Evolution of Interdisciplinarity (1900-2008)
Abstract: Since the beginning of the 1990s, interdisciplinarity has often been promoted as a value in itself assuring either a superior kind of knowledge or a better way to tackle important social problems, viewed as always tresspassing disciplinary boundaries. But beyond the unending debates surrounding the definition of terms, like multi- inter- and trans-disciplinarity, the hard question remains: how can we measure interdisciplinary practices? The obvious way from a bibliometric point of view is of course to look at the pattern of journal citations. Though limited, this indicator at least provides a first empirical measure of the links between disciplines and specialties. Most papers on this topic however have analyzed only the recent period, usually after 1980. Thanks to the existence of the “Century of Science” database of Thomson-Reuters, we can now look at the long-term evolution of interdisciplinarity over a century and see if we can observe paterns. For the domains of the natural sciences and engineering (NSE) the data suggest a movement of opening up of the major disciplines to contributions from other disciplines over the period 1900-1945, followed by reinforcement of disciplinarity between 1945 and 1975, followed again, in the recent period (1975-2008) by a movement towards more interdisicplinarity. In biomedical sciences, the period 1945-1975, saw a followed since then by a continuous rise of interdisciplinarity, that is, a tendency for most disciplines to open up to other disciplines. The talk will discus the data, as well as the link between interdisciplinarity and scientific impact, in more details and suggest possible interpretations of the trends observed.
Bio: After having been trained in physics (B.Sc., M.Sc.) à Université Laval, Yves Gingras obtained a Ph.D. in History and sociopolitics of Science at Université de Montréal. His research interests cover the formation of scientific disciplines, the mathematization of the sciences and the bibliometric analysis of the transformation of the scientific field in the 20th century. He is Scientific director of the Observatory of Science and Technology (OST) at UQAM. Over the last few years, he published papers in Isis,History of Science, Journal of the History of Biology, Social Epistemology, Science and Engineering Ethics, Social Science information and Journal of the American Society for Information Science and Technology.
4/12 Paul Thompson, Dartmouth Medical School
Collaborative Utility-Theoretic Information Retrieval
Abstract: The Probability Ranking Principle, which states that documents should be ranked in decreasing order of probability of relevance based on all evidence available to the retrieval system in response to a query, has been served as a foundation for probabilistic information retrieval. Utility-theoretic information retrieval has been proposed, but not developed to the extent which probabilistic retrieval has been. This talk describes the experience with probabilistic information retrieval for single searchers and suggests implications for the development of collaborative utility-theoretic information retrieval. This discussion will use the NIH-funded VIVO and eagle-i projects as examples of how utility-theoretic retrieval might be implemented.
Bio: Paul Thompson received his Ph.D. from the University of California, Berkeley, in 1986. His graduate research was on probabilistic information retrieval. He has worked in the field of information studies for over 25 years. He has published numerous papers, journal articles, and book chapters, and has served as a reviewer for various conferences, journals, and the National Science Foundation. From 1986-1988, he was an assistant professor at Drexel University's College of Information Studies. From 1988-1993, he was a member of PRC, Inc.'s (now part of Northrop Grumman) artificial intelligence development group, where he conducted research in natural language understanding and information retrieval. From 1993 until 2001, he worked for West Publishing Company (now West Group), conducting research on natural language understanding, information retrieval, machine learning / text categorization, and text mining. After joining Dartmouth College’s Thayer School of Engineering and Institute for Security Technology Studies in 2001, he continued his earlier research and began new research in the areas of semantic hacking, the application of Semantic Web technology to sensor networks, and question answering. He has also conducted research on control system security in the oil and gas industry with the Institute for Information Infrastructure Protection. He is currently an instructor in the Department of Genetics at the Dartmouth Medical School.
4/19 Una Okonkwo Osili, Associate Professor of Economics, Director of Research at The Center on Philanthropy at Indiana University, Indianapolis, IN and Cagla Okten
Associate Professor of Economics,
Preferences for International Redistribution
Abstract: In this paper, we study private transfers and preferences toward international redistribution. To our knowledge, this paper is one of the first to investigate households' private transfers and their willingness to support international aid. We develop a model of private transfers where households choose their private contributions towards international aid and support for official development assistance based on their preferences, endowments and official development assistance from government sources. To illuminate the motives for international redistribution, we examine private contributions to international aid organizations using newly available data from the philanthropy supplement to the Panel Study of Income Dynamics (PSID). It is estimated that Americans gave $307.65 billion to charitable organizations in 2008 (Giving USA, 2009) To put the size of charitable donations in perspective, U.S. households gave to charity last year an amount roughly equal to the national incomes of Norway or Indonesia. However, private giving to international causes account for only 4.3 percent of overall charitable giving. According to the PSID, only four percent of all households surveyed have given to an international aid organization.
We investigate factors that can explain private giving to international aid and support for public international aid, we examine the role of individual and community level determinants. One candidate explanation that we explore is the role of one's social environment in influencing attitudes towards households in developing countries. The role of social environment in influencing economic decisions and outcomes has gained increased attention in the social science literature. Our approach is informed by a number of studies that document that exposure to the poor greatly impacts support for domestic redistribution. We examine the hypothesis that recent inflows of immigrants may influence attitudes and preferences towards international redistribution.
Bio: Una O. Osili, Ph.D., is Director of Research at the Center on Philanthropy at Indiana University, a leading academic center dedicated to increasing the understanding of philanthropy and improving its practice worldwide. An internationally recognized expert on philanthropy, Dr. Osili frequently speaks across the country on issues related to national and international trends in philanthropy and has been quoted by national news media outlets such as The New York Times, the Chronicle on Philanthropy and Nonprofit Times. She has served as a member of several national and international advisory groups, including the Social Science Research Council, the United Nations Economic Commission for Africa and the United Nations Development Program. In 2006, she received the Stevenson Fellowship from the Nonprofit Academic Centers Council. In 2007, she was appointed as a fellow of the Networks Financial Institute. Dr. Osili previously served as the Interim Director of Research and has been the Director of Research at the Center on Philanthropy since 2009. Dr. Osili is the current Chair of the Research Committee of the Women’s Philanthropy Institute, and is a member of the Research Committee of the Lake Institute for Faith and Giving. She leads the Center’s extensive research program for its partners including Bank of America, United Way Worldwide, United Student Aid Funds, the Alban Institute, and National Collegiate Athletic Association. Dr. Osili provides guidance for the research for Giving USA, which is published by Giving USA Foundation. She also directs the Center's signature research project, the Center on Philanthropy Panel Study (COPPS). COPPS is largest and most comprehensive study of the philanthropy of American families over time, and is conducted in partnership with the University of Michigan's Panel Study of Income Dynamics (PSID). In addition to her appointment at the Center on Philanthropy, Dr. Osili serves as Associate Professor of Economics and Philanthropic Studies at Indiana University Purdue University, Indianapolis. She is also a member of the graduate school faculty at Indiana University. In 2007, she was a Visiting Associate Professor of Economics at Yale University. Dr. Osili is a consultant with the Federal Reserve Bank of Chicago, and has worked for the World Bank and also serves on the Research Committee of the Association for Research in Nonprofit and Voluntary Organizations (ARNOVA) and the Board of the African Finance and Economics Association (AFEA). She has served as a past or current board member for several nonprofit organizations, including the American Red Cross of Greater Indianapolis, the Immigrant Welcome Center, and is a member of the Board of Trustees of St. Richard’s School. Dr. Osili is a prolific researcher with an extensive body of published research. She earned her B.A. in Economics at Harvard University, and her M.A., and Ph.D. in Economics from Northwestern University.
9/13 Guilherme Rocha, Department of Statistics, IUB
Statistical model regularization in monitoring civil structures using Wireless Sensor Networks
Abstract: Advances in Wireless sensor networks (WSN) technology have provided promising possibilities in detecting a change in the state of a structure through monitoring features of the structure that are estimated using sensor data.
A set of such features are the natural vibration properties of the structure, which can be estimated from an autoregressive model (AR model) for the structure's response to ambient vibrations.
Fitting an AR model to the data requires the computation of the full covariance matrix resulting in significant latency due to the low data bandwidth of WSNs, as well as high energy cost for data transmission.
In this talk, a set of restrictions to the estimation of the AR model are presented.
These restrictions significantly reduce the volume of data flowing through the WSN thus reducing the latency in obtaining modal parameters and extending the battery lifetime of the WSN.
Using data simulated from linear structures, the stabilization plots resulting from the restricted and full AR models are compared.
The results show that the modal parameters estimated from the restricted and full models are of comparable quality.
The volume of transmitted data for fitting the restricted model is significantly lower than that of the full AR model.
Speakers in Fall 10 (*not confirmed):
- 09/13 Guilherme Rocha, Department of Statistics, IUB
- 09/20 Jan Reicherlt, Mendeley
- 09/27 Jon Corson-Rikert, Cornell University
- 10/04 4 Vincent Larivière, Observatoire des sciences et des technologies (OST), Centre interuniversitaire de recherche sur la science et la technologie (CIRST), Université du Québec à Montréal: The evolution of information science viewed through the prism of bibliometric (1956-2009)
- 10/04 6p Brian Uzzi, Kellogg School of Management, Northwestern University
- 10/18 Jonathon Cummings, Duke University
- 10/25 Joshua Danish, Education, IUB: The role of external representations in supporting learning.
- 11/01 Cassidy R. Sugimoto, SLIS, IUB
- 11/08 Mark Newman, University of Michigan presents talk in Cognitive Science Colloquium Series
- 11/22 OPEN HOUSE
- 11/29 Bill Hetrick, Psychological and Brain Sciences, Psychiatry, & Neuroscience; Director, BL I-CTSI: Health Informatics and the I-CTSI
- 12/06 Badri Narayanan, Purdue University, Global Trade Analysis Project
- 12/13 James Moody, Duke University
- * Luis Rocha, IUB, DND
- * Marshall Scott Poole, National Center for Supercomputing Applications, and Director of The Institute for Computing in the Humanities, Arts, and Social Sciences, University of Illinois
- Timothy Tangherlini, HUMNet, UCLA*
- Richard Fabris, NHLBI, NIH*
- Jack Owen, ISU*
- Jan 11,
Suzanne A. Pierce,
Center for International Energy and Environmental Policy,
Jackson School of Geosciences,
The University of Texas at Austin*
- Paul Dantilio, 21st Century Fund*
- Geoffrey Fox, School of Informatics and Computing, IUB*
- Mike McGinnis, Political Science, IUB:
Evolving ontological framework
- William Trochim, Cornell University, Concept Syctems*
- Joon Park, Statistics, Indiana University
- Thom Hickey, OCLC*
- Scott Long, Sociology*
- Bruce W. Herr*
- Peter Bearman, Columbia University*
- James Fowler, UCSD*
- Nicolas Christakis,
Harvard Department of Sociology*
- Russell/Joseph, STS, CNS, IUB
- Renaud Lambiotte, UK*
- Peter Meisen, World Resources Simulation Center*