Current
 | Visualizing Diffusion Patterns (VisualizingDiffusionPatterns)
Current Investigators: Katy Börner & Shashikant Penumarthy
This project aims to develop analysis methods and visualization techniques to track and visualize the diffusion of materialistic (objects, people, etc.) and non-materialistic (ideas, fitness, etc.) over space and time.
Related Publications: Social Diffusion Patterns in Three-Dimensional Virtual Worlds, 2003
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 | Wikipedia: Analysis and Visualization (Wikipedia)
Current Investigators: Katy Börner, Bruce W. Herr II & Todd Holloway
Analyzing and visualizing evolution, and the influencing factors in that evolution, of Wikipedia. Also interested in advancing social network visualization and data mining techniques.
Related Publications: Analyzing and Visualizing the Semantic Coverage of Wikipedia and Its Authors, 2007
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 | Knowledge Management System (IVL)
Current Investigators: Qizheng (Stanley) Bao, John W. Burgoon, Katy Börner, Elisha F. Hardy, Bryan J. Hook, Weixia (Bonnie) Huang, Chung-Yang (Kenneth) Lee, Nirav Ajay Mehta & Pragnesh Patel
Previous Investigators: Sumeet Adinath Ambre, Gavin La Rowe, Thomas Neirynck & Mathias Niepert
A Lab Management System consists of organizational tools which are designed to reflect the functions of a research lab. This includes a database of people, information, research, events, and other documents; a calendar system for tracking upcoming deadlines and events; a hierarchical schema for naming conventions (for UNIX groups, database fields, and so forth), and other management tools as needed to fulfill project deliverables. All of this information is delivered via scripting language (in our case, PHP) from the database to web pages written using HTML/CSS. Consistent, clear information delivery follows user interaction design, information architectur guidelines, and business best practice principles.
Related Grants: Collaborative Systems NSF IIS-0534909 Grant
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 | Collaborative Research: Social Networking Tools to Enable Collaboration in the Tobacco Surveillance, Epidemiology, and Evaluation Network (TSEEN)
Current Investigators: John W. Burgoon, Katy Börner & Russell Jackson Duhon
Current Collaborators: Noshir S. Contractor, Thomas Finholt & Gary Giovino
Cancer has surpassed heart disease as the #1 killer of adults under the age of 85 in the United States. Topping the list of offenders is lung cancer, a disease which is preventable. Efforts to address major public health threats such as lung cancer will benefit from network-centric approaches. The TSEEN project will undertake an effort at incorporating network tools to enhance collaboration among members of the Tobacco Surveillance, Epidemiology, and Evaluation Network using the TobacSIG cyberinfrastructure. This project leverages the substantial financial and human resources being invested by government agencies by bringing together researchers in information science, network science, social science, and public health.
Related Publications: Representing, Analyzing, and Visualizing Scholarly Data in Support of Research Management, 2007
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 | Places & Spaces: Mapping Science (SciMaps)
Current Investigators: Sumeet Adinath Ambre, Katy Börner, Roxana Lucia Cazan, Elisha F. Hardy, Bruce W. Herr II, Bryan J. Hook, Weixia (Bonnie) Huang, Gavin La Rowe, Thomas Neirynck, Fileve Palmer, Shravan Rajagopal, Kristin E. Reed & Julie M. Smith
The Places & Spaces exhibit has been created to demonstrate the power of maps. An initial theme of this exhibit is to compare and contrast first maps of our entire planet with the first maps of all of science as we know it.
This includes the website and database incorporated at scimaps.org. A site for researchers to submit their bibliographies for visualization and analysis and in return receive a clean version of their bibliographies.
Related Grants: NSF IIS-0238261 Award, NSF CHE-0524661 Award
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 | Visualizing Knowledge Domains (KDVis)
Current Investigators: Russell Jackson Duhon, Peter A. Hook, Weimao Ke, Gavin La Rowe, Ketan K. Mane, Nidhi Sobti, Sidharth Thakur, Elijah Wright & Ning Yu
This project aims to demonstrate the utility of advanced data mining and information visualization techniques to support science and technology management. Large amounts of, e.g., publication, patent, and grant data are analyzed, correlated, and visualized to map the semantic space of researchers, publications, funding, etc.. The resulting visualizations can be utilized to objectively identify major research areas, experts, institutions, grants, publications, journals, etc. in a research area of interest. In addition, they can assist identify interconnections, the import and export of research between fields, the dynamics (speed of growth, diversification) of scientific fields, scientific and social networks, and the impact of strategic and applied research funding programs among others. This knowledge is not only interesting for funding agencies but also for companies, researchers, and society.
Related Publications: Examining the Evolution and Distribution of Patent Classifications, 2004
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 | Taxonomy Validator/Visualizer (TV)
Current Investigators: Bruce W. Herr II & Todd Holloway
A program for determining the goodness of fit between a taxonomy and its categorized entities
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 | Network Workbench Tool (NWB)
Team Leads: Weixia (Bonnie) Huang
Current Investigators: Katy Börner, Russell Jackson Duhon, Bruce W. Herr II, Bryan J. Hook, Timothy Kelley, Micah Linnemeier, Ben Markines, Megha Ramawat, Ramya Sabbineni, Soma Sanyal, Felix Terkhorn, Vivek S. Thakre & Heng (Michael) Zhang
Current Collaborators: Albert-László Barabási, Santiago Schnell, Alessandro Vespignani, Stanley Wasserman & Eric Wernert
This project will design, evaluate, and operate a unique distributed, shared resources environment for large-scale network analysis, modeling, and visualization, named Network Workbench (NWB). The envisioned data-code-computing resources environment will provide a one-stop online portal for researchers, educators, and practitioners interested in the study of biomedical, social and behavioral science, physics, and other networks
Related Grants: NSF IIS-0238261 Award
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 | Visiting Artist Program (CreativeIT)
Creative Metaphors to Stimulate New Approaches to Visualizing, Understanding, and Rethinking Large Repositories of Scholarly Data.
Related Grants: NSF IIS-0715303 Award
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 | The Scholarly Database (SDB)
Current Investigators: Weixia (Bonnie) Huang & Gavin La Rowe
Previous Investigators: Qian Wang
Includes:
Mining and Visualizing a Stream of Live Data (DMVLive)
DMVLive
2003-01-10 2005-11-01
The analysis and visualization of live data requires novel ways to harvest, store, mine, and visualize information. DMVLive aims to publicelop algorithms and techniques that can process a stream of data harvested from a large number of continously operating, heterogeneous sources. Three data sets are choosen for validation: Document data, user logs collected in 3D virtual worlds, and Web blog data.
TerraVis
TerraVis
2003-01-01 2005-11-05
The large scale mapping of knowledge domains requires access to and the analysis of Terra byte size data sets. This project aims to create a terra-scale data-code-computing resource by utilizing techniques publiceloped by the grid community (see Grid.org projects like Cancer Research, Anthrax Research, Smallpox Research Project, or IBM's Deep Thunder) as well as for peer-to-peer (P2P) applications such as Seti@Home, Astropulse, or Kazaa and hoping for a convergence of the two fields (see recent article by Foster & Iamnitchi).
With support from UITS and SLIS and in collaboration with colleagues from the IR community we are currently creating a Mini-Grid infrastructure for IV and IR research and education. Under consideration are SUN's Grid Engine, TurboWorx, Berkeley Open Infrastructure for Network Computing, LimeWire (BOINC), Condor, Butterfly.net, Twisted and others. This Mini-Grid will be able to scale by harvesting compute cycles from idle (home) computers via a P2P infrastructure, e.g., using XtremWeb. Conforming with Jim Gray's article on Distributed Computing Economics we will aim to put the computation near the data.
Data
Data
2002-08-01 2005-11-01
This project will create a unique data-software-computing infrastructure for research and teaching in information retrieval and visualization. The document database will provide access to about 4,500,000 documents (books, journals, proceedings, doctoral and masters theses, technical reports, patents, grants) covering both cross-disciplinary research and specific knowledge domains. Bearing in mind that the ACM portal and CiteSeer currently provide access to about 361,400 and 507,800 documents respectively; this database is unique in its size and coverage.
Most of the documents will be available in full text, enabling the extraction and utilization of citation links and citation contexts.
Metadata schemas, like the Dublin Core and the Resource Description Framework (RDF), will be employed to provide an interoperable way to represent meaning with data.
Software that facilitates a continuous, automatic update of the database will be in place.
Data analysis and visualization software modules such as utility, data analysis, dimensionality reduction, and visualization programs will run on IUGÇÖs Sun E10000 Research System (Solar), a shared memory, multiprocessor system with 64 400MHz CPUs and 64GB memory.
InfoVis Cyberinfrastructure: Oracle Database
Oracle DB
2004-05-01 2004-08-01
The goal of this project is to setup an about one terrabyte Oracle database of paper, patent, grant and grant opportunities data and to make this database accessible via an online interface as well as from the InfoVis Repository.The upload of data sets will require extensive knowledge of the data itself and potential usages of the data. The team will therefore collaborate with data experts
PostGreSQL Database
PostGreSQL DB
2005-05-01 2005-08-31
The goal of this project is to setup a multi-terrabyte database of paper, patent, grant, grant opportunities, and commercial data and to make this database accessible via an online interface as well as via backend access, see http://iv.slis.indiana.edu/db/.The upload of data sets will require extensive knowledge of the data itself and potential usages of the data. Extensive data cleaning and data integration will be needed to compile and correlate lists of unique people, institutions, companies, papers, etc.
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 | TLS: Towards a Macroscope for Science Policy Decision Making (SciPolicy)
Current Collaborators: Kevin W. Boyack
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 | NSF Workshop on Knowledge Management and Visualization Tools in Support of Discovery (CDI08)
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 | TSEEN Supplement (TSEEN-China)
Team Leads: Weixia (Bonnie) Huang
Current Investigators: Russell Jackson Duhon & Renpeng Hu
Mainly for travel to China.
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 | Mapping Chemistry (MapChem-I)
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 | AkuVis: Interactive Visualization of Acoustic Data (AkuVis)
Institute of Public Health NRW, Germany
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 | SGER: Mapping the Structure and Evolution of Sustainability Science Research (MapSustainability)
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 | EpiC: A Cyberinfrastructure That Supports the Plug-and-Play of Datasets and Algorithms Needed for the Study and Analysis of Epidemic Processes (EPIC)
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Previous
 | Building Blocks for Virtual Worlds: Design Principles for a Starter Kit for Educational Virtual Worlds (BuildingBlocks)
Previous Investigators: Katy Börner, Shashikant Penumarthy & Elijah Wright
Previous Collaborators: Margaret Corbit & Bonnie Jean DeVarco
This project aims to publicelop design principles for a starter kit for educational virtual worlds. It will synthesize lessons learned by the VLearn3D.org educational 3D multi-user virtual worlds community into a set of design principles, which can be shared within our community and with the broader community of educational technology publicelopers via CILT.
Specifically, we will inform the design of a "basic starter kit" for using the Activeworlds technology. Through surveys of the AWEDU and VLearn3D communities as well as related research groups, we will compile a list of critical features and new user issues. These will be presented at the annual online conference of VLearn3D.org for discussion and input.
Final recommendations for the starter kit will be contributed to the CILT database and posted at VLearn3D.org. This information will serve as the basis for seeking support to publicelop a starter kit for AWEDU that will incorporate means for managing and evaluating user activities inworld in addition to a simple and flexible virtual architecture for user spaces.
Related Publications: Visualizing Social Patterns in Virtual Environments on a Local and Global Scale, 2005
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 | Project ENABLE: Learning through Associations in a Grid based Bioinformatics Digital Library (ENABLE)
Previous Investigators: Katy Börner, Weimao Ke & Ketan K. Mane
Previous Collaborators: Donald G. Gilbert, Javed Mostafa, Snehasis Mukhopadhyay & Mathew J. Palakal
ENABLE is an acronym for Extensible Networked Association-based Bioinformatics Learning Environment. The main objectives of this project are:
(1) Association-based learning - Gaining an understanding of relationships among bioinformatics resources, data, and tools is a major barrier for students in the field. We refer to this level as the "informational level". Beyond this level, one of the fundamental skills bioinformaticians must master is establishing associations among key biological objects such as genes, proteins, diseases, and drugs. We refer to this as the "knowledge level". ENABLE will publicelop powerful visualization based approaches to help students learn about associations both at the information and knowledge levels.
(2) Extending DL technologies - ENABLE will focus on both collection management and end user services. The project will offer opportunities to understand the applicability of present DL technologies to the domain of bioinformatics and adapt the technologies to support both collection management and end user services in this domain.
(3) DL with Grid computing integration and sustainability - There is an inherent need in this domain to publicelop extensible networked resources. An integrated environment consisting of merging DL and Grid computing technologies will be created to meet the need. A partnership established with the university's Digital Libraries Program will ensure long-term sustainability of the ENABLE system
Related Publications: Mapping Topics and Topic Bursts in PNAS, 2004
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 | Mapping Aging Research (MapAging)
Previous Investigators: Katy Börner
Previous Collaborators: Kevin W. Boyack
This research aims to analyze and visualize the impact of governmental funding on the amount and quality of research publications. For the first time, grant and publication data appear interlinked in one map. Resulting visualizations show an information landscape of aging-related data - providing NIH with a tool to discover general patterns and trends.
Related Publications: Indicator-Assisted Evaluation and Funding of Research: Visualizing the Influence of Grants on the Number and Citation Counts of Research Papers, 2003
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 | Collaborative Information Visualizations: Twin-Worlds - Memory Palaces & Mirror Gardens (TwinWorlds)
Previous Investigators: Katy Börner, Sy-Miaw Lin & Yu-Chen (Alan) Lin
Previous Collaborators: Sasha Barab, William Blanton, Susan C. Herring & Daniel Hickey
iPalace and iGarden are 'twin worlds' used to design and evaluate a shared resource of online documents for faculty and students at the School of Library and Information Science at Indiana University. It will be seeded with about 8,000 links to online documents (text, images, video, software demonstrations, etc.). The links will be collected from personal favorites or bookmark lists. About 300 people will have access to this space although we expect less than 20 to be logged on at any point in time.
The iPalace world aims to support efficient and intuitive information access and management and consists of semantically organized online documents laid out in a 3-D space. Its users can collaboratively examine, discuss, and modify (add/delete resources, annotate) documents, thereby converting this document space into an ever-evolving repository of the user community's collective knowledge that members can access, learn from, contribute to, and build upon. The space becomes a shared 'Memory Palace' representing a common understanding of different theories by the community.
The iGarden - officially 'Mirror Garden' - world visualizes user interaction data such as navigation, manipulation, chatting, and Web access activity. It is created based on mined web logs that have been collected in the Memory Palace. It can be used to evaluate the effectiveness and usability, to optimize design properties, or to examine the evolving user community of a world
Related Publications: Computers and Knowledge Sharing, 2003
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 | iScape: Information Landscape (iScape)
Previous Investigators: Katy Börner
The iScape world is dedicated to the analysis and visual display of information for teaching and research purposes. The Internet is publiceloping into a collective memory of human knowledge. Global connectivity leads to the decentralization of information storage, processing, and access. However, the common way to access Digital Libraries or the Web is a text-based query issued by a single user and typically resulting in a potentially very long list of matching documents or webpages. iScape is a shared virtual desktop world dedicated to the analysis, the visual display, and the collaborative exploration and management of information. Data mining and information visualization techniques are applied to extract and visualize semantic relationships in search results. Active World technology is exploited to facilitate complex and sophisticated human-computer and human-human interaction.
Related Publications: iScape: A Collaborative Memory Palace for Digital Library Search Results, 2001
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 | iUniverse: A Collaborative Information Universe for IU (iUniverse)
Previous Investigators: Katy Börner
The proposed project aims to establish one of the most sophisticated interface technologies for desktop computers at IU. The technology, a "3D Virtual Reality Chat & Design Tool" by Activeworlds.com, Inc. allows building compelling, multi-modal, multi-user, navigable, collaborative virtual environments in 3D that are inhabited by avatars (acting as placeholders for human users) and provide means for interacting with the objects in the environment, with embedded information sources and services or with other users and visitors of the environment.
It will be used in the L578 User Interface Design course taught at SLIS in Fall 2000 to build effective human-computer interfaces inside VR environments that are linked to traditional web-based material. Students taking this course would be taught how to design multi-modal, collaborative environments composed of 3D models, textures, images, sounds, and music. During their final project, students would create teaching areas in collaboration with faculty on campus and thus contribute to an "iUniverse" that is dedicated to providing access to instructional material, the Internet's "library" of information, as well as spaces for (course-related) communication and collaboration. AWT will also be used in some lab sections of L542 Introduction to Human Computer Interaction (Fall 2000 and Spring 2001)as well as in L697 a Special Topics Course on Information Visualizationin Spring 2001.
Specific formative and summative course evaluations will be conducted in collaboration with Christopher Essex, School of Education, IU. They will be targeted towards the improvement of course materials and procedures, and to make the AWT activities as effective, efficient, and educational as possible.
Based on the experience with these courses, a workshop will be conducted inside the created virtual "iUniverse" to teach interested faculty how to use AWT.
Related Publications: Using Active Worlds Technology to Build an iUniverse of 3-D Collaborative Learning Environments, 2001
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 | LVis: Visual Interfaces to Digital Libraries (LVis)
Previous Investigators: Katy Börner
The project LVis (Digital Library Visualizer) aims at the support of the navigation through complex information spaces. It provides a multi-modal, virtual reality interface that maps data stored in digital libraries onto an "information landscape". This landscape can then be explored by human users in a natural manner that will support efficient search through related articles. The first 2-D and 3-D prototype visualizes search results from the Dido Image Bank http://www.dlib.indiana.edu/collections/dido/, Department of the History of Art, IU.
See also Information Visualization at SLIS: http://ella.slis.indiana.edu/~katy/InfoVis
Related Publications: Visual Interfaces for Semantic Information Retrieval and Browsing, 2002
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 | Center for Excellence for Computational Diagnostics (CCD)
Previous Investigators: Katy Börner & Ketan K. Mane
Current Collaborators: Clement J. McDonald & Munro Peacock
Previous Collaborators: Zina Ben-Miled, David E. Clemmer, Ilka Ott, Susanne Ragg, Sven Rahmann & Terry Vik
The advent of new technology has changed the way biomedical science is practiced today. Advances in medical instrumentation have optimized the process of data collection about a patients medical condition. Clinical and diagnostic variables for patients can be collected more easily than it was possible before. This vast explosion of data generated by new high throughput technologies requires novel approaches to data management, analysis and display. Clinical data must be integrated and analyzed in concert with data from various other sources, such as genomic and proteomic and other information available in hundreds of different databases. Rendering these large amounts of data into actionable knowledge for the benefit of patient care requires the combined effort of mathematicians, computer scientists, proteomic researchers and information scientists.
Related Publications: Semantic Correspondence in Federated Life Science Data Integration Systems, 2005
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 | Mapping Chemistry (MapChem)
Previous Investigators: Katy Börner, Weimao Ke & Gavin La Rowe
Previous Collaborators: Kevin W. Boyack
This Small Grant for Exploratory Research (SGER) will support a pilot study that aims to identify the domain structures of Chemistry, Biochemistry, and Life Sciences and their interactions. A four-tiered approach will be taken.
First, advanced data mining and visualization techniques will be applied to analyze the citation links among papers published in the approximately 1,300 journals related to Chemistry, Biochemistry, and Life Sciences. Knowledge domain visualizations will be employed to communicate the growth of the fields over time as well as their inter-citation patterns.
Second, sets of journals and associated research areas that are either major sources or consumers with respect to other domains will be identified. We expect this to provide an indicator as to which areas in Chemistry, Biochemistry, and the Life Sciences benefit from each other most. In addition, we will examine new journals and determine their interdisciplinarity based on citations made to existing journals in the set.
Third, information diffusion studies will be performed.
Fourth, all analysis and visualization techniques and results will be thoroughly interpreted, validated, and optimized in collaboration with domain experts.
Related Grants: NSF CHE-0723989 Award, NSF-IIS Supplement, NSF CHE-0524661 Award
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 | Mapping Indiana's Intellectual Space (MapIN)
Previous Investigators: Gavin La Rowe
This project aims to map the intellectual space of Indiana based on proposal and award data provided by the 21st Century Fund and data in the IVCSF. We are particularly interested to map 'pockets of innovations', pathways that ideas take to become products, and the interplay of academia and industry.
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 | Vegowelt (Vegowelt)
VegoWelt is a smart virtual environment that resembles a children's playroom like setting.
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 | Modeling the Structure and Evolution of Scholarly Knowledge (ModSci)
Previous Investigators: Katy Börner, Russell Jackson Duhon & Soma Sanyal
Current Collaborators: Robert Goldstone
Previous Collaborators: Jerome Busemeyer, Tom Evans, Robert Huckfeldt, Elinor Ostrom & James Walker
This project is part of a larger initiative to chart and communicate the evolution of science on a global scale and to provide more effective means of accessing and managing humanityGÇÖs scholarly knowledge and expertise. In particular, we propose to publicelop a comprehensive, multidisciplinary approach to model the structure and evolution of scholarly knowledge.
Includes:
Process Models of Scientific Structure and Evolution
Sci Structure and Evolution
2003-01-01 NULL
Many researchers have worked towards an understanding of the structure and evolution of mankind's scientific endeavor. However, it is just today that (1) high-volume, high-quality data sets of scientific output such as publications, patents, grants are available, (2) algorithms are scaling and are able to handle this enormous, continuous stream of data, and (3) computers are capable of processing large data amounts.
Most research in Bibliometrics, Scientometrics, or Knowledge Domain Visualizations has focused on the generation of 'descriptive models' that aim to describe the major features of a data set. This project aims to design 'explanatory models' of scientific structure and evolution that conform to the measured data in terms of resulting citation, co-author, etc. networks but also at the level where the more elementary mechanisms are observable and verifiable.
Related Publications: Annotated Bibliography: Evolution of Bipartite Networks, 2005
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 | Information Visualization Software Repository (InfoVis SR)
Previous Investigators: Jason Baumgartner, Nathan James Deckard, Bruce W. Herr II, Todd Holloway, Ketan K. Mane, Jeegar Maru, Shashikant Penumarthy & Sidharth Thakur
We believe that education and research on Information Visualization (IV) could be considerably enhanced if a general IV software repository was created. The repository would not only facilitate sharing, evaluation, and comparison of algorithms and software but also reduce the time and effort spent for repeatedly re-implementing algorithms.
In Fall 2000, we started to publicelop a software repository that could be used by students taking the L697 IV course to learn about IV by designing IVs. The repository is intended to complement the theoretical study of specific IV algorithms and the critique and evaluation of existing applications.
Related Publications: Examining the Evolution and Distribution of Patent Classifications, 2004
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 | CIShell: Cyberinfrastructure Shell (CIShell)
Previous Investigators: Bruce W. Herr II, Todd Holloway, Weixia (Bonnie) Huang, Ben Markines, Shashikant Penumarthy, Ramya Sabbineni & Vivek S. Thakre
The goal of this project is to improve the IVC Software framework core and to increase the number of avialable algorithm plugins available via http://iv.slis.indiana.edu/sw/ as well as the associated Learning Modules at http://iv.slis.indiana.edu/lm/ so that they can be distributed for general usage in research and education.
Related Grants: NSF IIS-0513650 Award, NSF IIS-0238261 Award
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 | Visualizing Network Dynamics Competition (NetSci07)
Previous Investigators: Bruce W. Herr II
Previous Collaborators: Stephen Miles Uzzo
Visualizing Network Dynamics Competition at the International Conference on Network Science 2007.
Related Grants: NSF IIS-0724282 Award
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 | International Workshop and Conference on Network Science (NetSci06)
Current Collaborators: Alessandro Vespignani
Previous Collaborators: Albert-László Barabási, Noshir S. Contractor & Stanley Wasserman
The International Workshop/School and Conference on Network Science will bring together leading researchers and practitioners in network science - analysts, modeling experts, and visualization specialists with graduate students from many different research areas for interdisciplinary communication and collaboration.
The primary objective of the Workshop/School and Conference is to facilitate interactions between social and behavioral scientists and the many other disciplines interested in and utilizing network science.
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 | Mapping Science Exhibit at the 233rd National Meeting & Exposition of the American Chemical Society in Chicago, IL (MapChemExpo)
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 | Cyberinfrastructure for Network Analysis (CNNA-Equ)
Equipment Grant by UITS, Indiana University
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 | Sun Center of Excellence in Knowledge Management and Discovery, SUN Microsystems (SunCenter)
Previous Collaborators: Zina Ben-Miled & Stephanie Burks
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 | Outstanding Junior Faculty Award (JuniorFac)
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 | Mapping Science Exhibit at the New York Public Library (MapSci-IIS)
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 | Mapping Science Exhibit at the New York Public Library (MapSci-Chem)
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 | SCI - Collaborative Workshop: The Role of Social Network Research in Enabling Cyberinfrastructure and he Role of Cyberinfrastructure in Enabling Social Network Research (CI-SocSci)
Previous Collaborators: Noshir S. Contractor
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 | Mapping Indiana's Intellectual Space (MapIN-Equ)
Equipment Grant by 21st Century
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 | Pervasive Technology Labs Fellowship (PTLFellow)
Data-Code-Computing Infrastructure for Data Mining, Modeling, and Visualization Research and Education
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 | Information Visualization Learning Modules (IV-LM)
Previous Investigators: Ketan K. Mane
AT&T (formerly SBC, formerly Ameritech) Fellow Grant
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 | Arthur M. Sackler Colloquium on Mapping Knowledge Domains (Sackler03)
Previous Collaborators: Richard M. Shiffrin
National Academy of Sciences. The colloquium took place May 9-11, 2003.
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 | Development of a Spatial-Experimental Laboratory for Research and Policy Analysis Related to Complex Systems (SExpLab)
Previous Collaborators: Jerome Busemeyer, Tom Evans, Robert Huckfeldt, Elinor Ostrom & James Walker
NSF/BCS-0215738 Major Research Instrumentation Grant. This project benefits multiple departments at IU.
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 | Creating a 3-D Collaborative Information Universe (iUni-Equ)
Academic Equipment Grant EDUD-7824-010346-US by SUN microsystems
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 | Smart Virtual Environments (SmartVE)
Postdoc Fellowship from the German Academic Exchange Center (DAAD)
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 | Interaction Metaphors in VR Worlds (VRMetaphors)
Forschungs- und Innovationsfond Grant
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 | Ph.D. Research in US from the German Academic Exchange Center (DAAD)
Grant
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 | Research and Work in Japan (JISTEC)
Grant from the Japan International Science and Technology Exchange Center (JISTEC) and Deutsche Studienstiftung e.V.
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