Publications

11 Dec 2007
First Look

First Look: December 11, 2007

Development, edited by Thomas G. Cummings. Sage Publications, Inc., 2007 Abstract When it comes to transforming big corporations, there are two fundamentally different strategies, says Harvard Business School professor View Details

Keywords: Martha Lagace

26 Jan 2010
First Look

First Look: Jan. 26

http://www.hbs.edu/research/pdf/10-057.pdf Optimal Auction Design and Equilibrium Selection in Sponsored Search Auctions Authors:Benjamin Edelman and Michael Schwarz An abstract is unavailable at this time. Download the paper:... View Details

Keywords: Martha Lagace

06 Mar 2012
First Look

First Look: March 6

and Michael W. Toffel Abstract Mandatory information disclosure regulations seek to create institutional pressure to spur performance improvement. By examining how organizational characteristics moderate facilities' responses to a... View Details

Keywords: Sean Silverthorne

28 Jan 2014
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First Look: January 28

Populations By: Gray, Kurt, David G. Rand, Eyal Ert, Kevin Lewis, Steve Hershman, and Michael I. Norton Abstract—Psychological explanations of group genesis often require population heterogeneity in identity... View Details

Keywords: Sean Silverthorne

14 Feb 2012
First Look

First Look: February 14

can make organizational learning happen by building teams that learn. Publisher's Link: http://www.wiley.com/WileyCDA/WileyTitle/productCd-078797093X.html The Gifts We Keep on Giving: Documenting and Destigmatizing the Regifting Taboo Authors:Gabrielle S. Adams,... View Details

Keywords: Carmen Nobel

26 Feb 2008
First Look

First Look: February 26, 2008

time. Optimal Deterrence When Judgment-Proof Agents Are Paid in Arrears—With an Application to Online Advertising Fraud Author:Benjamin G. Edelman Abstract I develop a screening model with delayed payments and probabilistic delayed... View Details

Keywords: Martha Lagace

September 15, 2021
Article

Improving Deconvolution Methods in Biology Through Open Innovation Competitions: An Application to the Connectivity Map

By: Andrea Blasco, Ted Natoli, Michael G. Endres, Rinat A. Sergeev, Steven Randazzo, Jin Hyun Paik, N.J. Maximilian Macaluso, Rajiv Narayan, Xiaodong Lu, David Peck, Karim R. Lakhani and Aravind Subramanian

A recurring problem in biomedical research is how to isolate signals of distinct populations (cell types, tissues, and genes) from composite measures obtained by a single analyte or sensor. Existing computational deconvolution approaches work well in many specific... View Details

Keywords: Deconvolution; Methods; Open Innovation Competition; Genomics; Research; Innovation and Invention

Article

Use of Crowd Innovation to Develop an Artificial Intelligence-Based Solution for Radiation Therapy Targeting

By: Raymond H. Mak, Michael G. Endres, Jin Hyun Paik, Rinat A. Sergeev, Hugo Aerts, Christopher L. Williams, Karim R. Lakhani and Eva C. Guinan

Importance: Radiation therapy (RT) is a critical cancer treatment, but the existing radiation oncologist work force does not meet growing global demand. One key physician task in RT planning involves tumor segmentation for targeting, which requires substantial... View Details

Keywords: Crowdsourcing; AI Algorithms; Health Care and Treatment; Collaborative Innovation and Invention; AI and Machine Learning

12 Oct 2011
First Look

First Look: October 12

Michael Schwarz Abstract We consider market rules for the transfer of IP addresses, numeric identifiers required by all computers connected to the Internet. Excessive fragmentation of IP address blocks causes growth in the Internet's... View Details

Keywords: Sean Silverthorne

Article

Advancing Computational Biology and Bioinformatics Research Through Open Innovation Competitions

By: Andrea Blasco, Michael G. Endres, Rinat A. Sergeev, Anup Jonchhe, Max Macaluso, Rajiv Narayan, Ted Natoli, Jin H. Paik, Bryan Briney, Chunlei Wu, Andrew I. Su, Aravind Subramanian and Karim R. Lakhani

Open data science and algorithm development competitions offer a unique avenue for rapid discovery of better computational strategies. We highlight three examples in computational biology and bioinformatics research where the use of competitions has yielded significant... View Details

Keywords: Computational Biology; Bioinformatics; Innovation Competitions; Research; Collaborative Innovation and Invention

March 12, 2009
Article

A Nonsimultaneous, Extended, Altruistic-Donor Chain

By: Michael A. Rees, Jonathan E. Kopke, Ronald P. Pelletier, Dorry L. Segev, Matthew E. Rutter, Alfredo J. Fabrega, Jeffrey Rogers, Oleh G. Pankewycz, Janet Hiller, Alvin E. Roth, Tuomas Sandholm, Utku Unver and Robert A. Montgomery

October 2019
Article

Adaptive Platform Trials: Definition, Design, Conduct and Reporting Considerations

By: Derek C. Angus, Brian M. Alexander, Scott Berry, Meredith Buxton, Roger Lewis, Melissa Paoloni, Steven A. R. Webb, Steven Arnold, Anna Barker, Donald A. Berry, Marc J. M. Bonten, Mary Brophy, Christopher Butler, Timothy F. Cloughesy, Lennie P. G. Derde, Laura J. Esserman, Ryan Ferguson, Louis Fiore, Sarah C. Gaffey, J. Michael Gaziano, Kathy Giusti, Herman Goossens, Stephane Heritier, Bradley Hyman, Michael Krams, Kay Larholt, Lisa M. LaVange, Philip Lavori, Andrew W. Lo, Alexander J. London, Victoria Manax, Colin McArthur, Genevieve O’Neill, Giovanni Parmigiani, Jane Perlmutter, Elizabeth A. Petzold, Craig Ritchie, Kathryn M. Rowan, Christopher W. Seymour, Nathan I. Shapiro, Diane M. Simeone, Bradley Smith, Bradley Spellberg, Ariel Dora Stern, Lorenzo Trippa, Mark Trusheim, Kert Viele, Patrick Y. Wen and Janet Woodcock

Researchers, clinicians, policymakers, and patients are increasingly interested in questions about therapeutic interventions that are difficult or costly to answer with traditional, free-standing, parallel-group randomized controlled trials (RCTs). Examples include... View Details

Keywords: Adaptive Platform Trials; Health Testing and Trials