Informs 2015

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INFORMS Philadelphia – 2015
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2 - New Trends in Perence Modeling of Adversary Decisions
Ali Abbas, Professor of Industrial and Systems Engineering and
Public Policy and Director of Create, University of Southern
California, 3710 McClintock Avenue, RTH 314, Los Angeles, CA,
United States of America,
This talk will discuss the need for new models of preferences in both competitive
and cooperative games. Simulation results and videos of cooperative autonomous
vehicles will also be presented using new models of preferences.
MA03
03-Room 303, Marriott
Teaching Modern Project Management
Cluster: Scheduling and Project Management
Invited Session
Chair: Nicholas G. Hall, The Ohio State University, Fisher College of
Business, Columbus, OH, United States of America,
1 - Modern Project Management Curriculum
Ted Klastorin, Professor, University of Washington,
Foster School of Business, Box 353226, Seattle, WA, 98195-3226,
United States of America,
Empirical evidence has documented the failure to adequately manage many
complex projects, including IT and new product development projects. At the
same time, the need to successfully manage large and risky projects has never
been greater. As a result, the need for effectively educating students in the project
management (PM) area is critical. In this talk, I will explore the main directions
and concepts that should be included in a PM curriculum and how this differs
from current courses.
2 - Designing a Project Management Game
Enno Siemsen, Associate Professor, University of Minnesota,
321 19th Ave S, Minneapolis, MN, 55455,
United States of America,
As a capstone event in my project management class, I have designed a game to
capture organizational dynamics in the context of a project management
organization. Teams in the game form a hierarchy, with players taking the role of
Vice Presidents, Project Managers or Resources. Having different incentives, these
three types of roles need to learn to cooperate to see their projects to completion.
3 - Everything is a Project
Nicholas G. Hall, The Ohio State University, Fisher College of
Business, Columbus, OH, United States of America,
This talk describes the development of an MBA course on project management
that is the most popular elective at Fisher College of Business. The course uses
various teaching methods - games and group activities, graded in-class problem
solving exercises, guest speaker presentations with hands-on activities, HBS
simulations, case reports with student presentations, along with traditional lecture
and class discussion. The course currently enrolls students from seven graduate
programs across campus.
4 - Teaching a Quantitative Approach to Project Management
Rainer Kolisch, Technische Universität München,
TUM School of Management, Arcisstraße 21, Munich,
I will report on my course “Project Management – A quantitative approach”. The
course is an elective in the third (and final) year of the undergraduate program in
Management and Technology at TUM School of Management, Germany. The
course covers a number of quantitative topics ranging from operational to
strategic project management. I will report on the content of the course,
pedagogical concepts used and feedback received from the students.
MA05
05-Room 305, Marriott
Applying Advanced Analytics to Social Media data
Cluster: Social Media Analytics
Invited Session
Chair: Mohsen Parsafard, University of South Florida, 4202 E. Fowler
Avenue ENG 214, Tampa, Fl, 33620, United States of America,
1 - Estimating Social Media’s Financial Contribution to the
Hospitality Sector
Mark Gerner, Sr. Lead Economic Scientist, Booz Allen Hamilton,
22 Batterymarch St., Boston, MA, United States of America,
In this paper we present a methodology leveraging natural language processing
and machine learning techniques to estimate the reputational and financial
contribution from customer social media conversation, customer ratings, and
associated comments from multiple online travel sites.
2 - Efficient Community Partition Algorithm in Networks
Jiaofei Zhong, CSUEB, Dept. of Comp Sci,,
25800 Carlos Bee Blvd, Hayward, CA, United States of America,
David Haley, Ehsan Kamalinejad
One fundamental problem in analyzing complex big data sets is the task of
classification of the data. Community partitioning plays a crucial role in data
analysis of scientific, social, and technological networks. As the study of
isoperimetric inequalities is a well-explored field, it is possible to extend specific
mathematical theory to its equivalent form in data clustering. We propose an
efficient community partition algorithm to analyze the relationships among data
via the network topology.
3 - Topic Dependent Edge Importance Measures in
Social Media Platforms
George Michailidis, University of Florida, 1 University Ave,
Gainesville, FL, United States of America,
Social media platforms produce large amounts of both structured and
unstructured data. A key question for such platforms is to identify important
interactions between nodes in the corresponding user network. we address this
problem by using a stochastic model of interacting counting processes on a graph,
so that topic dependent interactions can also be identified. We illustrate the
results of our model on a US Senators Twitter data set.
4 - Role of Social Media in Healthcare via Analytics
Sinjini Mitra, Assistant Professor, California State University,
Fullerton, ISDS Department, 800 N State College Blvd,
Fullerton, CA, 92831, United States of America,
The advance of computing resources and increased availability of large amounts
of data in the recent decade has made it possible to use extensive analytics for
effective decision-making in the healthcare industry. Based on a member survey
of a large health plan, we identify factors (demographic, clinical and
technological) that are significantly associated with member interest in adopting
social and mobile media for obtaining health information via predictive and
descriptive analytics.
5 - Time Geography Based Mobility Measures for Geo-tagged
Twitter Data
Mohsen Parsafard, University of South Florida, 4202 E. Fowler
Avenue ENG 214, Tampa, Fl, 33620, United States of America,
, Guangqing Chi, Xiaopeng Li
Social media data present tremendous opportunities for studying individuals’
travel behaviors. In this study, we propose a set of fundamental measures to
quantify the bounds of an individual’s spatial and temporal activity range. We
further develop an interpolation approximation method to improve the
computation efficiency of these measures. Our results reveals an interesting
pattern of people’s traveling and tweeting behavior where the proposed measures
follow a power-law distribution.
MA06
06-Room 306, Marriott
Financial Engineering
Sponsor: Financial Services
Sponsored Session
Chair: Xuefeng Gao, Assistant Professor, The Chinese University of
Hong Kong,
1 - Mean Field Game with Singular Controls
Joon Seok Lee, UC Berkeley, 2033 Haste St. #313, Berkeley, CA,
94704, United States of America, , Xin Guo
We introduce a mean field game framework with singular controls. To solve this
singular control problem with multiple agents, we derive the Fokker-Planck
equation for the singular control, which is a generalization of the mean field
game with regular controls. Both single controls of a bounded velocity and of a
finite variation will be discussed. Finally, we will present some applications to
optimal execution and systemic risk.
2 - Algorithmic Trading under the Effects of Volume Order Imbalance
Ryan Donnelly, EPFL, Quartier UNIL - Dorigny, Extranef 214,
1015, Lausanne, Switzerland,
Shortcomings of some order book models are noted with motivation provided by
data from the NASDAQ. The influence of volume order imbalance on order book
dynamics is incorporated into a model which allows the agent to adjust their
strategy based on an easily observable quantity. The imbalance allows the agent to
MA03