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MIS Research: Past, Present and Future (My Biased View). MIS. My Background. NCTU  SUNY Buffalo  NYU  U Arizona (MIS #4) MS, MIS, Design Science, AI, Search Engine, Digital Library, Medical Informatics, Intelligence & Security Informatics, Business Intelligence

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my background
MyBackground
  • NCTU  SUNY Buffalo  NYU  U Arizona (MIS #4)
  • MS, MIS, Design Science, AI, Search Engine, Digital Library, Medical Informatics, Intelligence & Security Informatics, Business Intelligence
  • AI Lab, 25+ researchers; $25M funding ($1.5M/year), 180 top SCI papers (20+ papers/year); DL (#1), MIS (#8); Scientific Advisor: NLC, NLM, Academia Sinica; Chair, ICADL, IEEE ISI
  • AE in ten top SCI journals, IEEE and AAAS Fellow
  • DL/SE; GeneScene & BioPortal; COPLINK & Dark Web (NYT, USA Today, Associated Press, etc.); Knowledge Computing Corporation ($100M)
slide3

MIS

Management Information Systems

what is mis
What is MIS?

MIS

  • It’s in the name!
  • Management
  • Information
  • Systems
  • Not simply computer science, management science, organizational behavioral, economics modeling, etc…
mis past departments and founding fathers
MIS Past: Departments and Founding Fathers

MIS

  • University of Minnesota, founded in 1975
  • University of Arizona, founded in 1977
  • Dr. Gordon Davis, U of Minnesota  Behavioral and Organizational Research
  • Dr. Jay Nunamaker, U. of Arizona  Systems and Technical Research
  • Dr. Andy Whinston, U. of Texas at Austin, Purdue U.  Economics and Modeling Research
top five ua mis programs
Top Five UA MIS Programs

MIS

  • MIT: economics, social, IT consulting
  • CMU: economics, MS/OR, social
  • UT Austin: economics, MS/OR
  • Arizona: system, technical
  • Minnesota: behavioral, organizational
ua mis is highly ranked versus competitors and has the broadest scope andersen consulting report

Andersen Consulting 1999 Market Analysis

UA-MIS is highly ranked versus competitors and has the broadest scope - Andersen Consulting Report

MIS

MBA Program: 180 Students

BS Program: 1100 Majors

UofA

Broad

Broad

NYU

UofA

Michigan

Michigan

Texas

ASU

Texas

MIT

MIT

ASU

Minnesota

Scope

Scope

Minnesota

Carnegie Mellon

Carnegie Mellon

U Penn

Narrow

Narrow

Ranking

High

Low

Ranking

High

Low

PhD Program: 35 Students

MS Program: 90 Students

NYU

UofA

UofA

Broad

Broad

NYU

Michigan

MIT

Texas

ASU

Minnesota

Scope

Scope

Illinois

Carnegie Mellon

Berkeley

Stanford

Irvine

Carnegie Mellon

Narrow

Narrow

High

Ranking

Low

High

Low

Ranking

major pure mis journals
Major (Pure) MIS Journals

MIS

  • MISQ: Behavioral/Organizational
  • Information Systems Research: Behavioral,/Organizational, Economics, some Systems
  • Management Science: MS, Modeling, some Systems
  • J of MIS: Behavioral/Organizational, Economics, some Systems
  • Decision Support Systems: mostly Systems
  • Others: Decision Sciences, Information Systems, etc.
other major mis related technical journals
Other Major MIS Related (Technical) Journals

MIS

  • ACM: CACM (IT), ACM Trans. On Information Systems (IR)
  • IEEE: Computer (IT), TKDE (database), SMC (cybernetics), TITB (biomedicine), Technology Management, Intelligent Systems (AI)
  • ASIS: JASIST
  • Other technical journals: IJHCS, IPM, JBI, etc.
  • Others: Many in Economics, Management, Management Science, Accounting, Finance, Marketing, etc.
major mis conference icis
Major MIS Conference: ICIS

MIS

  • Managed by AIS
  • 1000-1400 participants from US, Europe, and Asia
  • High quality papers, job search
  • 20 tracks, major submissions in behavioral, organizational, economics tracks
  • ICIS 2008, Paris
  • ICIS 2009, Phoenix, Arizona; Conference Chairs: Nunamaker and Currie; Program Chairs: Chen and Slaughter
  • New tracks: Web 2.0, Web Mining, Service Computing, Biomedical, etc.
mis good
MIS: Good

MIS

  • IT the fabric of all organizations
  • MIS has evolved from EDP (book keeping) to the backbone of all business operations
  • MIS has matured as a discipline in breadth and depth
  • MIS has become a department in most major business schools
  • Major journals and conference well regarded
  • Ph.D. students academic placement stable; BS/MS students IT company placement good
  • US faculty salary higher than peer groups (CS, Economics, Management, etc.)
mis bad and ugly
MIS: Bad and Ugly

MIS

  • MIS is not a major part of IT revolution; computer science is (GDSS/TAM vs. PC/Unix/Internet)
  • MIS has not gained respect in scientific academic world (little federal funding or contribution)
  • MIS has not gained respect in businesses or business schools (little contribution or relevance to business; TAM vs. CAPM; IS dept removed from major b-schools)
  • MIS discipline is narrow and in-breeding (MISQ and ISR too behavior and economics centric; few MIS faculty are known outside of MIS)
  • MIS curriculum is soft and out of date (few companies need behavioral or economics BS/MS graduates; too much theory too little substance; need to get back to core of M.I.S.)
mis future and opportunities
MIS: Future and Opportunities

MIS

  • MIS curriculum needs to be relevant to management (business subject courses, organizations), information (DBMS, data mining, knowledge management, Web contents), systems (supply-chain, ERP, Internet, Web 2.0 apps)
  • MIS scholars need to go beyond MIS and compete in the broader academic world (CS, Economics, Management, etc.)
  • MIS research needs to be relevant and useful to businesses
  • MIS vs. CS  Stick to our strengths: management, information, and systems!!!
mis future recommendations
MIS Future: Recommendations

MIS

  • Curriculum: Some business and behavioral courses; Need many hands-on database, web computing, business systems (CRM, ERP) courses; Need hand-on development projects and interns
  • Research: What are the emerging topics (Web 2.0, forums/blogs, etc.)? NSF proposals and funding (innovative and fundable); Identify unique approach (systems vs. algorithms)
  • Impact: Work with other subject experts (business, biomedicine, security, etc.); Identify and solve new problems; Is it news-worthy (NYT, USA Today, Newsweek)?
slide15

MIS

University of Arizona Management Information Systems

vision for ua mis
Vision for UA-MIS

MIS

To establish leadership in information technology education, research and outreach that accentuate innovation, hands-on experience and strategic values of information management, intelligence and technology.

historical overview
Historical Overview

MIS

  • BS, MS and Ph.D. programs were first offered in 1974.
  • The department was established in 1977. 30th year celebration in 2004
  • 15 faculty members, 45 Ph.D., 60 MS, 80 MBA, 600 BS students
  • Unique values of our program
    • Successful innovations and technology transfer
    • Hands-on learning about synergies among development, application and management
    • Applied and relevant
mis recognition
MIS Recognition

MIS

  • US News & World Report: rankedamong top 5 programs for more than 15 consecutive years
  • External Peer Review (1998): “a jewel”
  • Decision Line rankings (1998, 1999):
    • Dept. research productivity: #1 by far
    • Dr. Nunamaker: #2
  • Comm. of AIS (2005):
    • Institution publication productivity: #4
    • Dr. Nunamaker #6; Dr. Chen #8
faculty
Faculty

MIS

  • 15 faculty members
  • Total Research Funding: $80+ million
  • Pioneers and leaders in
    • Collaboration technology and science
    • Knowledge management and artificial intelligence
    • Large scale data management and mining
    • Economics and technology management issues
  • Featured in Fortune, Business Week, Forbes, Sciences and New York Times articles
ua mis board of advisors
UA-MIS Board of Advisors

MIS

  • Provide guidance and support
  • Established in summer 1998
  • Inkind, scholarship, infrastructure and fund donations exceeding $10 million
  • Members include:

AOL, Ameristar Casinos, Andersen Consulting, Arthur Andersen, Cap Gemini, Cargill, Commerce One, Compaq, EMC2, Farmers Insurance, HP, Harvard Group, Honeywell, IBM, IFS, Intel, Oracle, PWC, Raytheon, RCM Technologies, SoftQuad, Ultralife Batteries

partnership outcomes
Partnership Outcomes

MIS

  • Mark and Susan Hoffman E-Commerce Lab
  • Harvard Group and Honeywell Scholarships
  • E-business Executive education program
  • Specialized co-op program
  • Student and faculty projects
major ua mis research centers
Major UA/MIS Research Centers

MIS

  • Center for the Management of Information (CMI): Collaborative computing and deception detection research
  • Artificial Intelligence Lab: Knowledge management and web computing research
  • Hoffman E-Commerce Lab: E-Commerce and Internet computing research, education, outreach
  • Advanced Database Research Group: Data modeling and management research
ua mis research focuses
UA/MIS Research Focuses:

MIS

  • Technical/system: artificial intelligence, web computing, GDSS, databases
  • Management sciences/OR: workflow, supply-chain, project management
  • Information economics: auctioning, modeling
  • Social/behavioral/cognitive: social impacts, computer-mediated communication, human-computer interactions (HCI)
ai lab background
AI Lab Background

MIS

  • Founded in 1989
  • Excellence in Digital Library, Web Intelligence and Mining, Biomedical Informatics, and Security and Intelligence Informatics
  • Funding, $25M: federal (NSF, NIH, NIJ, DARPA, CIA, DHS, etc.) and industries (SAP, HP, IBM, etc.)
  • 30+ researchers: 6 full-time researchers/staff, 12 Ph.D. students, 12 MS/BS students (and 10+ affiliated faculty)
  • Research infrastructure: NT/UNIX/Linux workstations, servers, supercomputers (SGI); Java/C/C++, DBMS (Oracle/MS SQL), web protocols
ai lab research methodologies
AI Lab Research Methodologies

MIS

  • Databases, knowledge bases, ontologies (Database)
  • Data mining and statistical analysis (Algorithm)
  • Text mining and natural language processing (Linguistics)
  • Web mining, search engines, and recommender systems (Web)
  • Information systems design and human-computer interactions (HCI)
  • Visualization and human factors (Visualization)
  • System evaluation (Evaluation)
ai lab projects web intelligence and mining
AI Lab Projects: Web Intelligence and Mining

MIS

  • Digital library, intelligent searching, multi-lingual support, post-retrieval analysis, knowledge map visualization
  • Scientific portals: NanoPort (for Nano Technology), DGPort (for digital government)
  • Intelligence portals: (English/Chinese) business intelligence and medical intelligence, Spanish/Arabic
  • CMC visualization by Glyphs, MDS/SOM visualization for financial management and Internet survey, financial data/text mining, GetSmart e-learning concept map, recommender systems
ai lab projects biomedical informatics
AI Lab Projects: Biomedical Informatics

MIS

  • Biomedical data and text mining, gene pathway analysis, medical ontologies, GeneArray analysis, biosurveillance
  • HelpfulMed and MedTextus; Arizona Pathway Visualizer; BioPortal for disease informatics
  • Gene pathway text mining, computational linguistics, GeneArray data mining, clustering, Medical knowledge visualization, pathway modeling and display
  • Infectious disease and bioagent information sharing, analysis, and visualization, hotspot analysis, spatio-temporal visualization
slide28

Medical Informatics:

The computational, algorithmic, database and information-centric approach to the study of medical and health care

problems.

ai lab projects intelligence and security informatics
AI Lab Projects: Intelligence and Security Informatics

MIS

  • Public safety and intelligence information sharing and analysis, social network analysis, data/text mining
  • COPLINK, BorderSafe, Dark Web
  • Criminal and terrorism social network analysis (SNA): centrality, block-modeling, clustering
  • Criminal and terrorism data/text mining: criminal element association mining and clustering (time, place, objects); deception detection
  • Terrorism link, content, authorship, sentiment analysis
slide30

Intelligence and Security Informatics (ISI):

  • Development of advanced information technologies, systems, algorithms, and databases for national security related applications, through an integrated technological, organizational, and policy-based approach.
research opportunities
Research Opportunities

MIS

  • Ph.D. Program: excellent GPA (top 5 in class), strong GRE/GMAT (top 5%), strong research record, strong faculty personal recommendation ($18,000 annual financial support, 5 years)  become professor ($100,000 + 2/9)
  • MS Program: good GPA and GRE/GMAT (top 10%), good recommendation (good chance for financial support after first semester, $14,000 per year, 2 years)  become IT professional ($60,000)
  • Need good to excellent English communication skills (speaking and writing)
  • Joint faculty research, sabbatical exchange, visitor program
slide32

MIS

ICIS 2009 program participation and involvement opportunities!!!

Faculty visit and collaboration opportunities!!!

Recruiting new Ph.D. and MS Students!!!

for more information
For more information

MIS

  • Eller College: http://eller.arizona.edu
  • AI Lab: http://ai.arizona.edu
  • Hsinchun Chen: hchen@eller.arizona.edu