Operations and Information Management Seminars and Workshops

Upcoming Events

Spring 2023

February 17, 2023, 10:30 am – 12 pm
Jónas Oddur Jónasson
MIT Sloan School of Management
Personalizing Interventions in Behavioral Health
Abstract: Problem Definition: Lack of patient adherence to treatment protocols is a main barrier to reducing the global disease burden of tuberculosis (TB). Using data from a completed RCT, we study the operational design of a treatment adherence support platform that requires patients to verify their treatment adherence on a daily basis, with a focus on improving personalization.
Methods: We first focus on personalized enrollment. We trained a causal forest model to answer three research questions: (1) Was the effect of the intervention heterogeneous across individuals? (2) Was the intervention less effective for high-risk patients? (3) Can differentiated care improve program effectiveness and equity in treatment outcomes? We then focus on personalized outreach. Inspired by reinforcement learning, we provide a model-free approach to solving the problem of optimizing personalized interventions for patients to maximize some long-term outcome, in a setting where interventions are costly and capacity-constrained. Results: For personalized enrollment, we find that individual intervention effects—the percentage point reduction in the likelihood of an unsuccessful treatment outcome—ranged from 4.2 to 12.4, with an average of 8.2. The intervention was beneficial for 76% of patients, and most beneficial for high-risk patients. Differentiated enrolment policies, targeted at high-risk patients, have the potential to (1) increase the average intervention effect of DAT services by up to 28.5% and (2) decrease the population average and standard deviation (across patients) of the probability of an unsuccessful treatment outcome by up to 8.5% and 31.5%, respectively. For personalized outreach, we show that under a natural set of structural assumptions on patient dynamics, our novel approach recovers at least 1/2 of the improvement possible between a naive baseline policy and the optimal policy. At the same time, our policy is both robust to estimation errors and interpretable. Numerically, we find that our policy can provide the same efficacy as the status quo with approximately half the capacity for interventions.

March 3, 2023, 10:30 am – 12 pm
Hamsa Bastani
Wharton School of the University of Pennsylvania
Decision-Aware Learning for Global Health Supply Chains
Abstract: The combination of machine learning (for prediction) and optimization (for decision-making) is increasingly used in practice. However, a key challenge is the need to align the loss function used to train the machine learning model with the decision loss associated with the downstream optimization problem. Traditional solutions have limited flexibility in the model architecture and/or scale poorly to large datasets. We propose a principled decision-aware learning algorithm that uses a novel Taylor expansion of the optimal decision loss to derive the machine learning loss. Importantly, our approach only requires a simple re-weighting of the training data, allowing it to flexibly and scalably be incorporated into complex modern data science pipelines, yet producing sizable efficiency gains. We apply our framework to optimize the distribution of essential medicines in collaboration with policymakers at the Sierra Leone National Medical Supplies Agency; highly uncertain demand and limited budgets currently result in excessive unmet demand. We leverage random forests with meta-learning to learn complex cross-correlations across facilities, and apply our decision-aware learning approach to align the prediction loss with the objective of minimizing unmet demand. Out-of-sample results demonstrate that our end-to-end approach significantly reduces unmet demand across 1000+ health facilities throughout Sierra Leone. Joint work with O. Bastani, T.-H. Chung and V. Rostami.

March 17, 2023, 10:30 am – 12 pm
Antonio Moreno
Harvard Business School
Empirical Study of Algorithmic Assortment Curation in Online Marketplaces
Abstract: The majority of online sales worldwide take place in online marketplaces that connect many sellers and buyers. The presence of numerous third-party sellers leads to a proliferation of options for each product, making it difficult for customers to choose between the available options. Online marketplaces adopt algorithmic tools to curate how the different options in an assortment are presented to customers. This talk will discuss some of the key differences between retailers and marketplaces, and different mechanisms for algorithmic assortment curation in marketplaces. We will focus on one such tool, a buybox, that algorithmically chooses one option to be presented prominently to customers. We leveraged the staggered introduction of buybox within a prominent product category in a leading online marketplace to study how introducing buybox impacts marketplace dynamics, exploring consequences for customers, sellers, and the marketplace operator.

March 31, 2023, 10:30 am – 12 pm
Evgeny Kagan
Johns Hopkins Carey Business School
AI Chatbots in Customer Service: Adoption Hurdles and Simple Remedies
Abstract: Despite recent advances in language processing algorithms, chatbot technology continues to face adoption hurdles. We survey chatbot users about their experiences and use their testimonies to construct a decision model of customer choice between the chatbot service channel and the live agent service channel. The fundamentals of this choice are the time spent in line and in service, the chatbot’s success rate, and the qualitative differences in the service experience provided by the chatbot and by the live agent. We then conduct experiments in which participants choose, and then experience, the chatbot or the live agent channel as we vary operational (i.e., times spent and chatbot success rates) and qualitative features of the chatbot. We find that users respond positively to improvements in chatbot operational performance; however, the chatbot channel remains underutilized relative to what expected time minimization would predict. Additional experiments show that this underutilization is caused by two separate mechanisms: algorithm aversion (aversion to an algorithmic service provider), and gatekeeper aversion (aversion to any service format that may involve multiple stages). Examining potential remedies, we find that algorithm aversion can be mitigated by making salient the expected time savings offered by the chatbot. However, gatekeeper aversion is more persistent and harder to overcome. We conclude by building and estimating a structural model of channel demand and by proposing a behavior-aware service design that reduces the firm’s staffing costs by up to 22%.
Authors: Evgeny Kagan (JHU Carey), Maqbool Dada (JHU Carey), Brett Hathaway (BYU Marriott)

April 21, 2023, 10:30 am – 12 pm
Gah-Yi Ban
Imperial College Business School

Past Events

Spring 2022

Friday, February 18, 10:30 am – 12 pm
Yehua Wei
Duke
Approximate submodularity in network design problems

Friday, February 25, 10:30 am – 12 pm
Marshall Fisher
Wharton
The Value of Social Media Data in Fashion Forecasting (new window)

Friday, March 18, 10:30 am – 12 pm
Tom Tan
SMU
Channel changes charm: An empirical study about omnichannel demand sensitivity to fulfillment lead time
Abstract: We examine a large transaction-level data set of an Italian omnichannel furniture retailer to study channel-specific effects of fulfillment lead time on demand. This omnichannel retailer sells the same products and has the same product fulfillment across three channels – showroom, online, and catalog. A showroom channel carries no inventory but allows customers to touch and feel the products. An online channel provides a website for consumers to browse and order products. A catalog channel sends a product catalog to all the households in Italy for them to place an order over the phone. We find that the showroom channel makes consumers less sensitive to fulfillment lead time than both online and catalog channels. In particular, a 10% increase in lead time (1.83 days from the sample mean of 18.26 days) causes a 0.20% reduction in the daily sales volume (approximately 20 units from the sample mean of 10,140 units per day) at the showroom, less than the reduction of 0.87% and 0.56% in the online and the catalog channels, respectively. This finding contradicts the common practical and theoretical assumption about homogeneous lead time-sensitivity across channels. In addition, we find that niche products and experience goods accentuate the difference of lead time-sensitivity between the showroom and non-physical channels. Our study highlights the previously-ignored fulfillment time-sensitivity aspect of the physical store’s value.

Friday, April 1, 10:30 am – 12 pm
John Gray
Ohio State University
Are All Generic Drugs Created Equal? An Empirical Analysis of Generic Drug Manufacturing Location and Serious Drug Recalls
Abstract: Problem definition. Generic drugs provide life-saving, affordable treatment to millions of people each day. A key assumption that providers and consumers make is that all generics are equally safe, regardless of where the drug is manufactured. However, due to the opaqueness of the generic drug supply chain, few empirical studies have tested this pivotal assumption. This study addresses this gap. To do so, we identify a novel source of drug manufacturing location data and conduct exact matching analysis to compare serious recalls for generic drugs made in emerging economies, such as India and China, to serious recalls for interchangeable generic drugs made in advanced economies, such as the U.S, Canada, and Europe. Methodology/results. We exactly match 4,076 generic drugs from 2009 to 2018 across advanced and emerging economies based on Food and Drug Administration (FDA) drug equivalency criteria. We operationalize drug safety as serious drug recalls. We find that generic drugs manufactured in emerging economies experience significantly higher recall rates, which translates to 33.2% more frequent serious recalls, than supposedly interchangeable generic drugs made in advanced economies. Numerous robustness checks and additional analyses, including a propensity score matching model, a two-stage least squares analysis, and a between-within regression model, demonstrate consistent results. Managerial implications. Our study finding leads to implications for how the FDA should regulate firms that make generic drugs in emerging economies but sell them in the U.S. Particularly, we call for increased transparency of the drug supply chain and increased unannounced inspections in generic drug manufacturing plants in emerging economies.

Fall 2021

Friday, September 10, 10:30 am – 12 pm
Jorge Mejia
Indiana
When Transparency Fails: Bias and Financial Incentives in Ridesharing Platforms (new window)
Location: 230 Hariri

Friday, September 17, 10:30 am – 12 pm
Nagesh Gavirneni
Cornell
Service Delivery Strategies for Alleviating Pandemic Suffering while Maintaining Profitability
Location: 370 Hariri

Friday, October 15, 10:30 am – 12 pm
Jun Li
Michigan
Crowdfunding the Front Lines: An Empirical Study of Teacher-Driven School Improvement (new window)

Friday, October 29, 10:30 am – 12 pm
Karen Zheng
MIT
Improving Farmers’ Welfare via Digital Agricultural Platforms (new window)
Abstract: In order to improve the welfare of smallholder farmers, multiple countries (e.g., Ethiopia and India) have launched digital agricultural platforms to transform traditional markets. However, there is still mixed evidence regarding the impact of these platforms and more generally how they can be leveraged to enable more efficient agricultural supply chains and markets. In this talk, we describe a body of work that provides the first rigorous impact analysis of such a platform and highlights several important supply chain and logistics parameters that can inform its design and optimization. The work is focused on the Unified Market Platform (UMP) that connects all the agriculture markets in the state of Karnataka, India. Leveraging both public data and detailed bidding data from the platform, a difference-in-differences analysis demonstrates that the launch of the UMP has significantly increased the modal prices of certain commodities (2.6%-6.5%), while prices for other commodities have not changed. Furthermore, the analysis provides evidence that logistical challenges, bidding efficiency, market concentration, and price discovery processes are important factors explaining the variable impact of UMP on prices. These insights led to the design and field implementation of a new two-stage auction mechanism. The auction design aims to intensify the anticipated regret of the traders to increase the farmers’ revenue. To ensure implementability and protect farmers’ revenue, the design process is guided by theory-informed, semi-structured interviews with a majority of the traders in the field and carefully accounts for operational constraints. The interviews suggest that both anticipated regret and anchoring would likely affect the traders’ bidding strategies in a two-stage auction. A new behavioral auction model is thus developed to capture these factors and determine when the two-stage auction can generate higher revenue for farmers than the traditional single-stage, first-price, sealed-bid auction. The new auction mechanism was implemented on the UMP for a major market of lentils in February 2019. By the end of May 2019, commodities worth more than $6 million (USD) had been traded under the new auction. A difference-in-differences analysis demonstrates that the implementation has yielded a significant 4.7% price increase with an impact on farmer profitability ranging from 60%–158%, affecting over 10,000 farmers who traded in the treatment market. This talk is based on joint work with Retsef Levi (MIT), Somya Singhvi (USC), Manoj Rajan (ReMS), and his team in Karnataka, India.

Friday, November 5, 3 – 4:30 pm
Bora Keskin
Duke
Data-driven Clustering and Feature-based Retail Electricity Pricing with Smart Meters (new window)

Friday, November 12, 10:30 am – 12 pm
Jie Ning
CWRU
Blockchain monitored debt and capital structure under moral hazard (new window)
Abstract: The unobservability of the borrower’s action is a major reason that smaller enterprises face high financing costs and credit rationing. We show that bank loans fully monitored by blockchain allow poor firms with low working capital to eliminate this agency cost. Interestingly, this is achieved by financing all production using fully monitored debt and leaving all internal capital unused; because the use of private, unmonitored internal capital creates unobservability whereas all-debt financing provides full transparency of operations. In contrast, rich firms find it costly to eliminate moral hazard via transparency and they prefer a mix of internal capital and unmonitored debt to finance production. We identify the working capital level at which a firm is indifferent between using all-debt or mixed financing for production. A poor firm with working capital below this indifference level strictly prefers all-debt financing and a rich firm above the level strictly prefers a debt-equity mix. We extend our results to a supply chain and show that the entire supply chain benefits from the use of monitored debt by an individual firm. The “inefficient” bankruptcy cost can create value under blockchain by mitigating the deadweight loss due to decentralization.

Spring 2021

Friday, February 12, 10:30 am – 12 pm
Robin Dillon-Merrill
Georgetown

Friday, February 19, 10:30 am – 12 pm
Jose Guajardo 
UC Berkley

Friday, March 5, 10:30 am – 12 pm
Brad Staats
North Carolina

Friday, March 12, 10:30 am – 12 pm
Ilia Tsetlin 
INSEAD

Friday, April 16, 10:30 am – 12 pm
Bardia Kamrad 
Georgetown 

Friday, April 30, 10:30 am – 12 pm
Negin Golrezaei
MIT

Fall 2020

Friday, October 16, 10:30 am – 12 pm
Yao Cui
Cornell

Friday, October 23, 10:30 – 11:30 am
Luyi Gui
UC Irvine

Friday, October 30, 10:30 am – 12 pm
Basak Kalkanci
Georgia Tech

Friday, November 6, 10:30 am – 12 pm
Guoming Lai
UT Austin

Friday, November 20, 10:30 am – 12 pm
Lesley Meng
Yale

Friday, December 11, 10:30 am – 12 pm
Stephen Leider
U Michigan

Spring 2020

Friday, February 28, 10:30 am – 12 pm, Rafik B. Hariri Building, Room 415
Jussi Keppo, NUS
https://bizfaculty.nus.edu.sg/faculty-details/?profId=314

Friday, March 6, 10:30 am – 12 pm, Rafik B. Hariri Building, Room 150
Dorothee Honhon, UT Dallas
https://jindal.utdallas.edu/faculty/dorothee-honhon

Monday, April 3, 11:45 am – 1 pm, Rafik B. Hariri Building, Room 155
Bardia Kamrad, Georgetown
https://gufaculty360.georgetown.edu/s/contact/00336000014RlAFAA0/bardia-kamrad

Friday, April 17, 10:30 am – 12 pm, Rafik B. Hariri Building, Room 150
Jun Li, U of Michigan
https://michiganross.umich.edu/faculty-research/faculty/jun-li

Friday, May 1, 10:30 am – 12 pm, Rafik B. Hariri Building, Room 415
Karen Zheng, MIT
https://mitsloan.mit.edu/faculty/directory/y-karen-zheng

Fall 2019

Friday, September 20, 10:30 am – 12 pm, Rafik B. Hariri Building, Room 260
Shouqiang Wang, The University of Texas at Dallas
https://jindal.utdallas.edu/faculty/shouqiang-wang

Friday, October 4, 10:30 am – 12 pm, Rafik B. Hariri Building, Room 570
Shi Chen, University of Washington   

Friday, October 11, 10:30 am – 12 pm, Rafik B. Hariri Building, Room 415
Philipp Afeche, University of Toronto
https://www.rotman.utoronto.ca/FacultyAndResearch/Faculty/FacultyBios/Afeche

Spring 2019

Friday, January 25, 10:30 am – 12 pm, Rafik B. Hariri Building, Room 160
Nur Sunar, The University of North Carolina at Chapel Hill
https://www.kenan-flagler.unc.edu/faculty/directory/operations-technology-and-innovation-management-otim/Nur-Sunar

Friday, February 8, 10:30 am – 12 pm, Rafik B. Hariri Building, Room 130
Jack Soll, Duke University
https://www.fuqua.duke.edu/faculty/jack-soll

Wednesday, March 27, 10:30 am – 12 pm, Rafik B. Hariri Building, Room 570
Beril Toktay, Georgia Tech
https://www.scheller.gatech.edu/directory/faculty/toktay/index.html

Friday, April 5, 10:30 am – 12 pm, Rafik B. Hariri Building, Room 130
Kevin Shang, Duke University 
https://www.fuqua.duke.edu/faculty/kevin-shang

Friday, April 12, 10:30 am – 12 pm, Rafik B. Hariri Building, Room 370
Sezer Ulku, Georgetown University
https://gufaculty360.georgetown.edu/s/contact/00336000014RlQ4AAK/sezer-ulku

Thursday, April 25, 10:30 am – 12 pm, Rafik B. Hariri Building, Room 570
Xiande Zhao, CEIBS
http://www.ceibs.edu/zhao-xiande

Wednesday, May 1, 10:30 am – 12 pm, Rafik B. Hariri Building, Room 360
Jing Wu, City University of Hong Kong

Wednesday, May 8, 10:30 am – 12 pm, Rafik B. Hariri Building, Room 570
Helen Zhou, Singapore Management University
https://www.smu.edu.sg/faculty/profile/80228/ZHOU-Yangfang%2C-Helen

Fall 2018

Friday, November 2, 10:30 am – 12 pm, Rafik B. Hariri Building, Room 150
Daniel Corsten, IE Business School, Madrid 
https://www.ie.edu/business-school/faculty-and-research/faculty/daniel-corsten/

Friday, November 9, 10:30 am – 12 pm, Rafik B. Hariri Building, Room 250
Marcelo Olivares, Industrial Engineering, University of Chile
https://www.marcelo-olivares.com/

Friday, November 16, 2 – 3:30 pm, Rafik B. Hariri Building, Room 250
Keith Ord, McDonough School of Business, Georgetown University.

Friday, November 30, 10:30 am – 12 pm, Rafik B. Hariri Building, Room 250
Serdar Simsek, Naveen Jindal School of Management, The University of Texas at Dallas                                    http://www.utdallas.edu/~axs158032/

Friday, December 7, 10:30 am – 12 pm, Rafik B. Hariri Building, Room 350
Pnina Feldman, Questrom School of Business, Boston University 
https://www.bu.edu/questrom/faculty-research/faculty-directory/pnina-feldman/

Spring & Summer 2018

Friday, January 26, 10:30 am – 12 pm, Rafik B. Hariri Building, Room 370Jiří Chod, Carroll School of Management, Boston Collegehttps://www.bc.edu/bc-web/schools/carroll-school/faculty-research/faculty-directory/jiri-chod.html

Friday, February 9, 10:30 am – 12 pm, Rafik B. Hariri Building, Room 250
Vishal Ahuja, Cox School of Business, Southern Methodist University
http://www.smu.edu/Cox/Departments/FacultyDirectory/AhujaVishal

Friday, February 23, 10:30 am – 12 pm, Rafik B. Hariri Building, Room 250
Ming Hu, Rotman School of Management, University of Toronto
http://www.rotman.utoronto.ca/FacultyAndResearch/Faculty/FacultyBios/Hu.aspx

Friday, March 2, 10:30 am – 12 pm, Rafik B. Hariri Building, Room 370
Janne Kettunen, School of Business, George Washington University 
https://business.gwu.edu/janne-kettunen

Friday, April 13, 10:30 am – 12 pm, Rafik B. Hariri Building, Room 350
Ioannis (Yannis) Bellos, School of Business, George Mason University 
http://mason.gmu.edu/~ibellos/

Friday, May 25, 10:30 am – 12 pm, Rafik B. Hariri Building, Room 350
Enno Siemsen, Wisconsin School of Business, University of Wisconsin

Friday, June 1, 10:30 am – 12 pm, Rafik B. Hariri Building, Room 150
John Birge, Booth School of Business, University of Chicago
https://www.chicagobooth.edu/faculty/directory/b/john-r-birge

Thursday, June 7, 1:30 – 3 pm, Rafik B. Hariri Building, Room 360
Michael Lapré, Owen Graduate School of Management, Vanderbilt University
https://business.vanderbilt.edu/bio/michael-lapre/

Fall 2017

Friday, September 22, 10:30 am – 12 pm, Rafik B. Hariri Building, Room 360
Necati Tereyagoglu, Scheller College of Business, Georgia Institute of Technology
https://www.scheller.gatech.edu/directory/faculty/tereyagoglu/index.html

Friday, October 13, 10:30 am – 12 pm, Rafik B. Hariri Building, Room 155
Tinglong Dai, Carey Business School, Johns Hopkins University
http://carey.jhu.edu/faculty-research/faculty-directory/tinglong-dai-phd

Friday, October 20, 10:30 am – 12 pm, Rafik B. Hariri Building, Room 250
Panos Kouvelis, Olin Business School, Washington University in St. Louis
https://olin.wustl.edu/EN-US/Faculty-Research/Faculty/Pages/FacultyDetail.aspx?username=kouvelis

Friday, October 27, 10:30 am – 12 pm, Rafik B. Hariri Building, Room 360
Foad Iravani, Foster School of Business, University of Washington

Friday, November 3, 10:30 am – 12 pm, Rafik B. Hariri Building, Room 230
Sang Kim, School of Management, Yale University
https://som.yale.edu/sang-kim

Friday, November 13, 10:30 am – 12 pm, Rafik B. Hariri Building, Room 570
Serguei Netessine,OWharton School of Business, University of Pennsylvania
https://oid.wharton.upenn.edu/profile/netessin/

Spring 2017

Thursday, March 16, 10:30 am – 12 pm, Rafik B. Hariri Building, Room 360
Víctor Martínez de Albéniz, IESE Business School
http://www.iese.edu/en/faculty-research/professors/faculty-directory/victor-martinez-de-albeniz/

Friday, March 17, 10:30 am – 12 pm, Rafik B. Hariri Building, Room 145
Saif Benjaafar, Department of Industrial and Systems Engineering, University of Minnesota
http://www.isye.umn.edu/faculty/Benjaafar.shtml

Friday, March 24, 10:30 am – 12 pm, Rafik B. Hariri Building, Room 145
Huseyin Topaloglu, School of Operations Research and Information Engineering, Cornell University
https://people.orie.cornell.edu/huseyin/

Friday, April 7, 10:30 am – 12 pm, Rafik B. Hariri Building, Room 145
Lauren Lu, Kenan-Flagler Business School, University of North Carolina at Chapel Hill
http://public.kenan-flagler.unc.edu/faculty/lul/

Friday, April 21, 10:30 am – 12 pm, Rafik B. Hariri Building, Room 145
Sezer Ulku and Shiliang (John) Cui, McDonough School of Business, Georgetown University
http://explore.georgetown.edu/people/su8/http://explore.georgetown.edu/people/cs1470/

Friday, April 28, 10:30 am – 12 pm, Intercultural Center (ICC), Room 108
Lingxiu Dong,Olin Business School, Washington University in St. Louis
https://olin.wustl.edu/EN-US/Faculty-Research/Faculty/Pages/FacultyDetail.aspx?username=dong

Friday, May 12, 10:30 am – 12 pm, Rafik B. Hariri Building, Room 145
Bardia Kamrad, McDonough School of Business, Georgetown University
http://faculty.msb.edu/kamradb/

Wednesday, June 14, 11 am – 12:30 pm, Rafik B. Hariri Building, Room 360
Francis de Vericourt, ESMT Berlin
https://www.esmt.org/francis-de-vericourt

Fall 2016

Friday, September 9, 10:30 am – 12 pm, Rafik B. Hariri Building, Room 250
Bin Hu, Kenan-Flagler Business School, University of North Carolina at Chapel Hill
http://public.kenan-flagler.unc.edu/faculty/hubi/

Friday, September 16, 10:30 am – 12 pm, Rafik B. Hariri Building, Room 155
Tim Kraft, Darden School of Business, University of Virginia
http://www.darden.virginia.edu/faculty-research/directory/tim-kraft/

Friday, September 30, 10:30 am – 12 pm, Rafik B. Hariri Building, Room 155
Gerard Cachon, The Wharton School, University of Pennsylvania
http://opim.wharton.upenn.edu/~cachon/

Friday, October 7, 10:30 am – 12 pm, Rafik B. Hariri Building, Room 155
Robert Swinney, Fuqua School of Business, Duke University
http://people.duke.edu/~rps23/

Friday, October 21, 10:30 am – 12 pm, Rafik B. Hariri Building, Room 155
Chris Tang, Anderson School of Management, University of California Los Angeles
http://www.anderson.ucla.edu/faculty/decisions-operations-and-technology-management/faculty/tang

Friday, November 4, 10:30 am – 12 pm, Rafik B. Hariri Building, Room 155
Vlad Babich, McDonough School of Business, Georgetown University
http://explore.georgetown.edu/people/vob2/

Friday, December 2, 10:30 am – 12 pm, Rafik B. Hariri Building, Room 155
Laurens Debo, Tuck School of Business, Dartmouth College
http://www.tuck.dartmouth.edu/faculty/faculty-directory/laurens-debo

Spring 2016

Friday, January 29, 10:30 am – 12 pm, Rafik B. Hariri Building, Room 570
Fangruo Chen, Graduate School of Business, Columbia University
http://www8.gsb.columbia.edu/cbs-directory/detail/fc26

Friday, February 19, 11 am – 12 pm, Rafik B. Hariri Building, Room 340
Shiliang (John) Cui, McDonough School of Business, Georgetown University
http://explore.georgetown.edu/people/cs1470/

Friday, March 18, 10:30 am – 12 pm, Rafik B. Hariri Building, Room 570
Brian Tomlin, Tuck School of Business, Dartmouth College
http://faculty.tuck.dartmouth.edu/brian-tomlin/

Friday, April 1, 10:30 am – 12 pm, Rafik B. Hariri Building, Room 570
Stephen Broomell, Department of Social and Decision Sciences, Carnegie Mellon University 
http://www.andrew.cmu.edu/user/sbb59/

Friday, April 8, 10:30 am – 12 pm, Rafik B. Hariri Building, Room 570
Vishal Gaur, Johnson School of Management, Cornell University 
https://www.johnson.cornell.edu/Faculty-And-Research/Profile?id=vg77

Friday, April 15, 10:30 am – 12 pm, Rafik B. Hariri Building, Room 415
Rakesh Sarin, Anderson School of Management, University of California Los Angeles http://www.anderson.ucla.edu/faculty/decisions-operations-and-technology-management/faculty/sarin

Friday, April 22, 10:30 am – 12 pm, Rafik B. Hariri Building, Room 570
Chris Parker, Smeal College of Business, Pennsylvania State University 
http://php.smeal.psu.edu/smeal/dirbio/displayBio.php?t_user_id=cdp18

Fall 2015

Friday, September 18, 10:30 am – 12 pm, Rafik B. Hariri Building Rm. 570
Sreekumar Bhaskaran, Cox School of Business, Southern Methodist University
http://www.smu.edu/Cox/Departments/FacultyDirectory/BhaskaranSreekumar

Thursday, September 24, 11 am – 12 pm, Rafik B. Hariri Building Rm. 570
Sezer Ulku, McDonough School of Business, Georgetown University
http://explore.georgetown.edu/people/su8/

Monday, September 28, 1:30 – 3 pm, Rafik B. Hariri Building. Rm. 570
Vera Tilson, Simon School of Business, University of Rochester
http://www.simon.rochester.edu/faculty–research/faculty-directory/full-time-faculty-directory/vera-tilson/index.aspx

Wednesday, September 30, 10 – 11 am, Rafik B. Hariri Building Rm. 415
Paul Slovic and Bill Burns, Decision Research
http://www.decisionresearch.org/researcher/paul-slovic-ph-d/http://www.decisionresearch.org/researcher/william-burns-ph-d/

Friday, October 16, 10:30 am – 12 pm, Rafik B. Hariri Building Rm. 160
Kamalini Ramdas, London Business School
https://www.london.edu/faculty-and-research/faculty/profiles/ramdas-k#.Vw7Hm_krK9J

Friday, October 30, 10:30 am – 12 pm, Rafik B. Hariri Building Rm. 415
Onur Boyabatli, Lee Kong Chian School of Business, Singapore Management University
https://www.smu.edu.sg/faculty/profile/9464/Onur-BOYABATLI

Thursday, November 5, 10:30 am – 12 pm, Rafik B. Hariri Building Rm. 570
Ioana Popescu, INSEAD
https://www.insead.edu/faculty-research/faculty/ioana-popescu

Friday, November 6, 10:30 am – 12 pm, Rafik B. Hariri Building Rm. 415
Vasiliki Kostami, London Business School
https://www.london.edu/faculty-and-research/faculty/profiles/kostami-v#.VhLocY9Viko