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- All HBS Web (35)
- Faculty Publications (4)
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- All HBS Web (35)
- Faculty Publications (4)
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- 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
Blasco, Andrea, 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. "Advancing Computational Biology and Bioinformatics Research Through Open Innovation Competitions." PLoS ONE 14, no. 9 (September 2019).
- Other Article
Prize-based Contests Can Provide Solutions to Computational Biology Problems
By: Karim R. Lakhani, Kevin J. Boudreau, Po-Ru Loh, Lars Backstrom, Carliss Y. Baldwin, Eric Lonstein, Mike Lydon, Alan MacCormack, Ramy A. Arnaout and Eva C. Guinan
Lakhani, Karim R., Kevin J. Boudreau, Po-Ru Loh, Lars Backstrom, Carliss Y. Baldwin, Eric Lonstein, Mike Lydon, Alan MacCormack, Ramy A. Arnaout, and Eva C. Guinan. "Prize-based Contests Can Provide Solutions to Computational Biology Problems." Nature Biotechnology 31, no. 2 (February 2013): 108–111.
- 21 Mar 2019
- Working Paper Summaries
Advancing Computational Biology and Bioinformatics Research Through Open Innovation Competitions
- February 2015
- Article
'Open' Disclosure of Innovations, Incentives and Follow-on Reuse: Theory on Processes of Cumulative Innovation and a Field Experiment in Computational Biology
By: Kevin J. Boudreau and Karim R. Lakhani
Most of society's innovation systems―academic science, the patent system, open source, etc.―are "open" in the sense that they are designed to facilitate knowledge disclosure among innovators. An essential difference across innovation systems is whether disclosure is of... View Details
Keywords: Open Innovation; Cumulative Innovation; Incentives; Search; Disclosure And Access; Knowledge Sharing; Motivation and Incentives; Collaborative Innovation and Invention
Boudreau, Kevin J., and Karim R. Lakhani. "'Open' Disclosure of Innovations, Incentives and Follow-on Reuse: Theory on Processes of Cumulative Innovation and a Field Experiment in Computational Biology." Research Policy 44, no. 1 (February 2015): 4–19.
- 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
Blasco, Andrea, 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. "Improving Deconvolution Methods in Biology Through Open Innovation Competitions: An Application to the Connectivity Map." Bioinformatics 37, no. 18 (September 15, 2021).
- 27 Aug 2008
- Research & Ideas
Creating Leaders for Science-Based Businesses
It's been said that in this century, carbohydrates will replace hydrocarbons, and biology will supplant physics as the innovation-producing science. As science fiction becomes science fact, and with science-based firms presenting unique... View Details
- 19 May 2016
- Research Event
Crowdsourcing, Patent Trolls, and Other Research Insights Highlighted at Harvard Business School Symposium
to be more active and independent.” A social computing design Yiling Chen, Gordon McKay Professor of Computer Science at SEAS, talked about social computing, where human creativity is used to accomplish... View Details
Keywords: by Dina Gerdeman & Carmen Nobel
- 19 Mar 2019
- First Look
New Research and Ideas, March 19, 2019
Counterfactual simulations of our structural model show large gains from screening potential hires via psychometric measurement and training to improve managerial practices. Download working paper: https://www.hbs.edu/faculty/Pages/item.aspx?num=55871 Advancing View Details
Keywords: Dina Gerdeman
- 11 May 2010
- First Look
First Look: May 11
Amyris Biotechnologies: Commercializing Biofuel Gary P. Pisano and Alison Berkley WagonfeldHarvard Business School Case 610-031 In 2009, Amyris Biotechnologies was building a plant in Brazil that used synthetic biology to convert... View Details
Keywords: Martha Lagace
- 12 Mar 2013
- First Look
First Look: March 12
blend the two models? Paper: http://hbr.org/2013/03/do-you-really-want-to-be-an-ebay/ar/1 Prize-based Contests Can Provide Solutions to Computational Biology Problems Authors:Lakhani, Karim R., Kevin J.... View Details
Keywords: Sean Silverthorne
- 07 Oct 2014
- First Look
First Look: October 7
Experiment in Computational Biology By: Boudreau, Kevin J., and Karim Lakhani Abstract—Most of society's innovation systems―academic science, the patent system, open source, etc.―are "open" in the... View Details
Keywords: Sean Silverthorne