360 likes | 481 Views
MIS 696A Final Presentation. Victor Benjamin, Joey Buckman, Xiaobo Cao, Weifeng Li, Zirun Qi, Lee Spitzley, Yun Wang, Rich Yueh. Introduction Literature review Research gaps Data collection Results Conclusion. Agenda. What is MIS? Past work vs. current work Conference papers
E N D
MIS 696A Final Presentation Victor Benjamin, Joey Buckman, Xiaobo Cao, Weifeng Li, Zirun Qi, Lee Spitzley, Yun Wang, Rich Yueh
Introduction • Literature review • Research gaps • Data collection • Results • Conclusion Agenda
What is MIS? • Past work vs. current work • Conference papers • Lower submission-to-acceptance time Introduction
Artificial Intelligence and Information Retrieval • 1967: The successful knowledge-based program Dendral is built • 1995: Bayesian method developed for determining atomic positions • 1999: EcoCyc is built to query and explore the genetics of E.Coli Timeline of Greatness
Collaboration • 1971: Delphi method proposed as group communication structure • 1987: Foundation for the study of GSS • 1991: Benefits and drawbacks of GSS established • 1996: Groupware Grid proposed Timeline of Greatness
Database • 1961: IDS developed • 1970: E.F. Codd published article on relational technology • 1973: Michael Stonebraker developed Ingres/IBM with System R • 1976: Peter Chen and ER Model • 1980: First database build on Oracle SQL Timeline of Greatness
Decision Science • 1980: Framework for DSS developed by Ralph Sprague • 1987: Foundation of GDSS • 2000: Proof of 2-Player Zero Sum Game Equilibrium Timeline of Greatness
Economics • 1985: Pricing of computer services • 1988: Switching costs and lock-in theories • 1993: Productivity paradox of IT • 1996: Emergence of E-Commerce • 1999: Economics of global IT Timeline of Greatness
Human-Computer Interaction • 1952: Englebart begins defining information manipulation problems • 1962: Licklider outlines “Man-Computer Symbiosis” goals • 1965: First “computer mouse” unveiled (SRI) • 1977: Xerox PARC explores WYSIWYG displays • 1977: “ZOG: A Man-Machine Communication Philosophy” (CMU) Timeline of Greatness
Social Issues and Informatics • 1988: Adaptive technology required for team differences • 1994: Fair use and digital data • 1998: Trust in global virtual teams • 2000: Framework to study technology in organizations • 2001: Intellectual property in an open information environment Timeline of Greatness
Systems Analysis and Design • 1968: Systems Analysis became a formal discipline • 1972: Information hiding was promoted • 1979: “Structured Design” was published by Edward Yourdon • 1980: Workflow emerges • 1986: Introduction of object-oriented development • 1997: UML 1.1 was submitted Timeline of Greatness
Hsinchun Chen University of Arizona MIS Hall of Fame
Andrew B. Whinston University of Texas at Austin MIS Hall of Fame
Ronald E. Rice University of California Santa Barbara MIS Hall of Fame
IzakBenbasat University of British Columbia MIS Hall of Fame
Jay F. Nunamaker University of Arizona MIS Hall of Fame
Previous groups examined journal papers • Journal papers have a lag time of 1 – 2 years • Good indicator of long-term trends and historical information Research Gaps
Conference papers • A good indicator of where the field is today • A predictor of the near future • Larger quantity of papers Our Focus
Conference papers are not easy to collect (not in a single database) • Some conferences cannot be collected online Data Collection
After a search of each database we decided to collect: ICIS, AMCIS, CSCW, HICSS, KDD, SIGIR, WWW • Time Frame: 2008-2012 Data Collection
Data: • Title, Abstract, Keywords of total 6,036 papers. Data Collection
Different conferences have different website patterns (HTML tags, structures etc.) • We programmed text scrapers in Python and PHP for different website patterns Data Collection
Data Sources • Microsoft Academic Search • ACM Proceedings • Official Conference Websites Data Collection
Source Comparison Data Collection
Microsoft Academic – JSON Parsing Data Collection
ACM Proceedings IE – Regular Expression Data Collection
Results Data Collection
Latent Dirichlet Allocation • Algorithm used for topic modeling • Originates from computer science in 2002 • Some open source tools exist to help researchers employ LDA What is LDA?
Computes chance of certain words appearing together • Also looks for word groups that appear exclusive from one another • Assumes each document can be a mixture of various topics • Returns clusters of words to user and topical make-up of each document How LDA works
Suppose you have the following set of sentences: • I like to eat broccoli and bananas. • I ate a banana and spinach smoothie for breakfast. • Chinchillas and kittens are cute. • My sister adopted a kitten yesterday. • Look at this cute hamster munching on a piece of broccoli. • According to LDA • Sentences 1 and 2: 100% Topic A • Sentences 3 and 4: 100% Topic B • Sentence 5: 60% Topic A, 40% Topic B • Topic A: 30% broccoli, 15% bananas, 10% breakfast, 10% munching, … (at which point, you could interpret topic A to be about food) • Topic B: 20% chinchillas, 20% kittens, 20% cute, 15% hamster, … (at which point, you could interpret topic B to be about cute animals) An example of LDA • Example source: http://blog.echen.me/2011/08/22/introduction-to-latent-dirichlet-allocation/
Suppose you have the following set of sentences: • I like to eat broccoli and bananas. • I ate a banana and spinach smoothie for breakfast. • Chinchillas and kittens are cute. • My sister adopted a kitten yesterday. • Look at this cutehamster munching on a piece of broccoli. • According to LDA • Sentences 1 and 2: 100% Topic A • Sentences 3 and 4: 100% Topic B • Sentence 5: 60% Topic A, 40% Topic B • Topic A: 30% broccoli, 15% bananas, 10% breakfast, 10% munching, … (at which point, you could interpret topic A to be about food) • Topic B: 20% chinchillas, 20% kittens, 20% cute, 15% hamster, … (at which point, you could interpret topic B to be about cute animals) An example of LDA • Example source: http://blog.echen.me/2011/08/22/introduction-to-latent-dirichlet-allocation/
Trending toward technical research • Away from behavioral research • No more TAM • Future work: broaden range of conferences Conclusion