1 Information Schools: Traditions Growing, Morphing and Expanding David Fenske
2 Standards and Traditions ALA standards Library and Information Science But these staples are already changing internally and externally. ABET accreditation for Information Systems and, in the future, for Information Technology and Software Engineering may cause multiple accreditation efforts.
3 Degree Diversification with the ALA accredited schools In addition to the traditional ALA accredited degree, the 54 or so ALA accredited programs offer 25 additional degrees
4 Masters Computer science (1) Information systems (3) Information science (7) Information management (3) Knowledge management (3) Software Engineering (1) Competitive Intelligence (1) Instructional Technology Telecommunications (2) Book Arts (1) Informatics (1) Archival Studies (1) Educational Technology (1)
5 Undergraduate 14 schools offer an undergraduate degree of some kind 3 schools offer two degrees 7 schools offer an information science or variant degree
6 Degrees In addition to the information science variants, others degrees are: Information systems Information management Information Technology/Informatics Information Resources Software Engineering
7 20 College/School/Department names Library and Information Science Library Science Library and Information Studies Information Science & Technology Library & Information Management Information Studies Information & Computer Science Information & Library Science Library & Information Studies Communication, Information, & Library Studies Information Information Science & Policy Informatics Information Resources and Library Science Library, Archival, & Information Studies Education & Information Studies Communications & Information Studies Information Science & Learning Technologies Information Sciences Information School
8 Computing Research Association IT Deans
9 Graduate degrees in addition to Computer Science and excluding the ALA accredited schools and their degree variants
10 Degrees Information systems (8) Information Technology (8) Information science (4) Management Information Systems (4) Information security (2) Software engineering (2) Telecommunications (1) Information networking (1) Internet Technology (1)
11 Bachelor degrees in addition to Computer Science and excluding the ALA accredited schools and their degree variants
12 Degrees Information systems (16) Information Technology (13) Information science (5) Software engineering (3) Information security (1) Management information systems (2) Information Context (1) Technology Systems (1) Telecommunications (1)
13 College/School/Department names Business School Engineering and Technology Physical & Mathematical Sciences Computing Computer Science Public Policy & Management Engineering Computing & Information Science Computer Science, Telecommunications, and Information Systems Science and Technology Information Technology Science and Technology Computing Sciences Computer and Information Science Applied Science and Technology Computer Science and Information Systems Information Sciences and Technology Science Computing and Software Engineering Information Science and Systems Engineering Information Management and Systems Information and Computer Science Engineering and Computer Science Business Administration Engineering and Applied Science Computer and Information Sciences
14 Conclusions A naming convention does not appear to be a strong characteristic of any of these fields and may reflect changes and diversification. Aside from Library Science or Computer Science as the name of graduate degree programs, there is nearly complete duplication between the ALA and the non-ala groups, albeit different traditions. The study of information can occur in more than 5 basic types of colleges in a university.
15 What Issues are on Drexel s Agenda
16 Empowering People and Organizations Through Their Use of Information
17 IST Research - Exploring, Transforming and Envisioning the World
18 IST Mission The College of Information Science and Technology s educational and research programs integrate Information Content Human Factors Business Strategy Information technology Organizational forces to advance 21st Century enterprises of all kinds.
19 Research Clusters IST consists of 8 research clusters, which focus on different disciplines of information science and technology. Human Computer Interaction, Computer- Supported Cooperative Work Knowledge Management Youth Services & Issues Database Management Information Retrieval, Information Visualization, Bibliometrics Software Engineering Artificial Intelligence, Natural Language Processing Teaching
20 Human Computer Interaction, Computer- Supported Cooperative Learning Research topics covered by the HCI Cluster include: Cultural effects on collaboration technologies Electronic communities and electronic governments Psychology of programming Group memory Digital libraries
21 Answer Garden The Answer garden system is a web-based prototype for providing help to students learning introductory C++ programming. The Answer Garden consists of a set of questions which are posted by students. These questions can be seen by any student and can be answered by both faculty and other students. Answers are initially divided into Peer Answers and Expert Answers. However, if a student provides an answer deemed definitive by a faculty member, it can then be promoted to the Expert Answers category.
22 Answer Garden (cont d) On a successful login, a student can see the main system contents page. This shows the main topic (Intro to C++) sub topics such as Arrays, a folder with any recently posted questions or questions posted directly into the main topic.
23 Answer Garden (cont d) By clicking on a topic area such as Arrays, a student can see a short description of all questions asked in that topic. For each question, they can view any answers by students or faculty members, as well as follow-up questions. A student can examine a question in more detail or can ask a new question.
24 Knowledge Management The KM cluster focuses on research topics encompassing the various aspects of knowledge management including the capture, understanding, evaluation, organization and deployment of knowledge using traditional, advanced, and intelligent information processing methodologies.
25 Evidence Finder Four researchers working jointly between the College of IST, Drexel University and the School of Medicine at MCP Hahnemann University developed a digital information resource to support primary care physicians. *Funded by National Institute of Standards & Technology
26 Evidence Finder (Cont d) Evidence finder combined access to succinct clinically relevant information from the published literature, and access to relevant segments retrieved from video of primary grand rounds. Research included building physician-language-based query expansion ontologies to enhance retrieval of key clinical information from the database.
27 Database Management Research topics covered by the Database Management cluster include: Data warehouse design and performance optimization Object-oriented approach to data warehousing Business intelligence and CRM Object-oriented analysis and design with UML Intrusion detection systems Data mining applications to bio-informatics Data mining to healthcare informatics Relational data mining Web data extraction XML Applications
28 Data Warehousing and Data Mining for Cybersecurity Cybercrime Intrusion, damage or destruction by non-physical objects Includes: Financial fraud Sabotage of data/networks Theft of proprietary information Unauthorized system accesses Denial of service attacks Cyber stalking Identity theft Virus attacks Industrial espionage Interruption of International commerce or national security
29 Data Warehousing and Data Mining for Cybersecurity (cont d) Data Warehouse Schema for Cybercrimes Four Steps: 1. Select the BP Investigation of Cybercrimes 2. Declare the Grain An incident 3. Select the Dimensions Attack Attack Pattern Attacker Attacker Demographics 4. Select Fact Table Cybercrimefact Incident Date Time Target Target Agency
30 Data Warehousing and Data Mining for Cybersecurity (cont d) A Data Warehouse Schema for Cyber Security Attacker Demographic Attacker demographic Key Date Dimension Date key Time Dimension time key CyberCrime Fact Attacker Dimension Attacker Key (FK) Attacker Key Attack Key (FK) Attacker demographic Key (FK) incident number key (FK) Date key (FK) time key (FK) Attack Dimension Attack Key target key (FK) Agency key (FK) Attack pattern key (FK) Attacker demographic Key (FK) Incident Dimension incident number key Target Dimension target key Attack Pattern Dimension Attack pattern key Target Agency dimension Agency key
31 Information Visualization, Information Retrieval, Bibliometrics Research areas covered include: Knowledge Domain Visualization -Mapping Scientific Frontiers -Tracing Scientific Revolutions and the Growth of Knowledge -Visualizing Knowledge Diffusion and Technology Transfer Information Retrieval -Visualizing Concept Structures for Information Access -Creating Knowledge Maps for Learning and Understanding Bibliometrics and Scientometrics -Exploring Intellectual Structures of Literature through Citation Analysis
32 Concept Map Automatic generation of concept relationships from the literature
33 StarWalker and Social Navigation Semantics and Cyberfootprints
34 Youth Services & Issues Research activity in this cluster includes identifying and evaluating the information needs and behaviors of specific communities in order to better serve them via libraries, as well as through technology. Featured is a project focused on using technological tools to enable schools and librarians to meet community interests through creation of a collaborative web site.
35 Project Website Staff Technology Building Collaboration through Technology: A Professional Development Model for School and Public Librarians Overview Evaluation Training Website Implementing Building Collaboration through Technologyv Instructional Materials Purchased Resources Training Site Project Notebooks Scheduling Participant Guide Trainer s Guide
36 Building Collaboration through Technology (cont d) Project Goals: To increase collaboration among school and public librarians serving youth To teach school and public librarians new tools, skills and knowledge needed to locate and use electronic databases and internet resources, in particular web development with children, youth and their families. Target Audiences: School and public librarians serving youth Public library directors School district superintendents State library personnel Library professional organizations
37 Artificial Intelligence, Natural Language Processing The AI & NLP cluster is comprised of faculty who are actively involved with artificial intelligence and natural language processing research, application and teaching. The cluster focuses on specific methodologies including case-based reasoning, expert systems, data mining and logic-based methods.
38 Case-based Reasoning and Software Testing Designing Testing Processes with CBR End-user inputs a description of a software program System designs a testing strategy System should embed and manage experiential knowledge without restrictions System should learn How to Achieve These Goals? Adopting a Knowledge Management Framework
39 Case-based Reasoning and Software Testing (cont d) Main Steps User enters software to be tested First step is to assess the level of testing required (e.g., analysis, design, units, black, white box) CBR retrieves, reuses adequate testing strategy (includes guidelines to generate test cases) and incorporates lessons learned TCT generates test cases (NN, GA, CS) CBR revises the solution (assess quality) Results of each use is learned (e.g., case is retained, adaptation knowledge, feedback from revision, lessons learned are incorporated)
40 Case-based Reasoning and Software Testing (cont d)
41 Curriculum Development Increase degree diversity from a shared core curriculum. Add (2004) a BS in Information Technology and in Information Science to existing ones in Information Systems and Software Engineering Add (2005) an MS in Knowledge Management to existing ones in Library and Information Science, Information Systems and Software Engineering.
42 Online Degrees Master of Science in Information Systems MS in Library and Information Science Management of Digital Information Specialization Information/Library Services Specialization (under development
43 Online Certificates Competitive Intelligence Database Technology Digital Information Healthcare Informatics Human-Computer Interaction Information Retrieval Internet Information Systems Management of Shared Information Software Engineering System Analysis and Design
44 Online LIS programs There are 54 ALA-accredited programs in library and information science 5 programs have a masters degree entirely online 8 more programs have a combination of online and some residency requirement 21 programs (including the above) offer some online courses.
45 What do I Schools hope to accomplish
46 Building ''I'' Schools by Bob Boiko and Corinne Kator Monday, December 02, 2002 Knowledge Management, destinationkm.com
47 Excerpts In recent years, information has become so valuable an asset within organizations that they've appointed chief officers to manage it. The appointment of a CIO has placed information on par with finances and operations as an integral part of most any organization. In a parallel development, information has become so valuable an asset in the economy and society that universities are creating schools to study and teach it. Pioneering universities across the United States have created Schools of Information Studies and Colleges of Information Science to sit alongside their Business Schools, Nursing Schools and Colleges of Engineering. In many cases, these new schools are revitalized and expanded versions of already existing Library and Information Science programs.
48 Excerpts Cont d When they were first introduced, library schools were, in effect, trade schools, with practical skills taught by practicing librarians. ians. As library schools matured, they developed theories and observed best practices, constructing a discipline of librarianship to complement ent the practice of librarianship. Information schools are beginning the same process for knowledge and information work. University information schools do not wish to simply be IT schools where practitioners train others in a practical skill. These schools are a creating a body of knowledge to better inform practice. Researchers ers at information schools are studying knowledge workers and attempting to identify best practices. They are developing new theories and techniques for organizing and managing information. As researchers collaborate with one another, they are developing a common vocabulary for the field. Many information school professors are experts in business, library science, law, computer science and psychology and are helping to apply contributions from all these disciplines to new information contexts.
49 Excerpts Cont d The curriculum at information schools is a mix of the technical and the social sciences as well as a mixture of theory and practice. Most information schools offer technical courses in network administration and web development alongside courses like Behavior of Information Users that are grounded in the social sciences. A class in interface design melds the technical and the social, teaching the use of design tools as well as psychological principles of human-computer interaction. Likewise, a class in the organization of information melds theory and practice by teaching classification theory and then offering opportunities to apply that theory to real problems.
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