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  • November–December 2022
  • Article

Your Company Needs a Space Strategy. Now.
By: Matthew Weinzierl, Prithwiraj (Raj) Choudhury, Tarun Khanna, Alan MacCormack and Brendan Rosseau
Space is becoming a potential source of value for businesses across a range of sectors, including agriculture, pharmaceuticals, consumer goods, and tourism. To understand what the opportunities are for your company, the authors advise you to consider the four ways in...  View Details
Keywords: Space Strategy; Emerging Markets; Natural Resources; Analytics and Data Science; Organizational Change and Adaptation; Adaptation; Competition; Aerospace Industry
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  • Article

Pattern Detection in the Activation Space for Identifying Synthesized Content
By: Celia Cintas, Skyler Speakman, Girmaw Abebe Tadesse, Victor Akinwande, Edward McFowland III and Komminist Weldemariam
Generative Adversarial Networks (GANs) have recently achieved unprecedented success in photo-realistic image synthesis from low-dimensional random noise. The ability to synthesize high-quality content at a large scale brings potential risks as the generated samples may...  View Details
Keywords: Subset Scanning; Generative Models; Synthetic Content Detection
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  • 2018
  • Working Paper

Need for Speed: The Impact of Website Performance on Online Retail
By: Santiago Gallino, Nil Karacaoglu and Antonio Moreno
The share of e-commerce sales is rapidly increasing and so are the associated losses generated by website outages and slow websites. We leverage novel retail and website performance data to investigate the impact of website performance on online sales. This question is...  View Details
Keywords: Online Retail; Quasi-experiments; Abandonment; Synthetic Control; Internet and the Web; Performance; Service Operations
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  • Article

Fast Subset Scan for Multivariate Spatial Biosurveillance
By: Daniel B. Neill, Edward McFowland III and Huanian Zheng
We present new subset scan methods for multivariate event detection in massive space-time datasets. We extend the recently proposed 'fast subset scan' framework from univariate to multivariate data, enabling computationally efficient detection of irregular space-time...  View Details
Keywords: Algorithms; Disease Surveillance; Event Detection; Scan Statistics; Spatial Scan
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  • 2023
  • Article

Exploiting discovered regression discontinuities to debias conditioned-on-observable estimators
By: Benjamin Jakubowski, Siram Somanchi, Edward McFowland III and Daniel B. Neill
Regression discontinuity (RD) designs are widely used to estimate causal effects in the absence of a randomized experiment. However, standard approaches to RD analysis face two significant limitations. First, they require a priori knowledge of discontinuities in...  View Details
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  • Forthcoming
  • Article

Need for Speed: The Impact of In-Process Delays on Customer Behavior in Online Retail
By: Santiago Gallino, Nil Karacaoglu and Antonio Moreno
The impact of delays has been widely studied in various offline services. The focus of this study is online services, and we explore the impact of in-process delays—measured by website speed—on customer behavior. We leverage novel retail and website speed data to...  View Details
Keywords: Online Retail; Quasi-experiments; Abandonment; Synthetic Control; E-commerce; Internet and the Web; Consumer Behavior; Policy; Retail Industry
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