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  • All HBS Web  (36)
    • News  (13)
    • Research  (11)
  • Faculty Publications  (4)

Show Results For

  • All HBS Web  (36)
    • News  (13)
    • Research  (11)
  • Faculty Publications  (4)
Page 1 of 36 Results →
  • 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
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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
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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

Keywords: by 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; Health
  • 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
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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
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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).
  • 10 Jul 2014
  • News

How Harvard Medical School Uses Open Innovation To Solve World-Class Scientific Problems

    Mitchell Tang

    Mitchell Tang graduated in 2016 from the University of Pennsylvania, where he completed dual-degrees in computational biology and economics as part of the Vagelos Program in Life Sciences and Management (LSM). While at Penn, Mitchell was involved in research at the... View Details

    • 11 Feb 2013
    • News

    Thorny research problems, solved by crowdsourcing

    • Web

    Faculty & Advisors | MBA

    faster, more efficiently, and at lower cost. Before TrialSpark, Ben graduated from Yale where he was awarded the college’s highest honor at graduation and received his MPhil with distinction in Computational View Details
    • Web

    Blavatnik Fellowship in Life Science Entrepreneurship - Health Care

    Genomics, developing algorithms for groundbreaking single-cell and spatial transcriptomics products. Before that, he was a bioinformatics intern at Illumina. Narek holds an MEng and BSc in computer science and molecular View Details
    • Web

    Class Profile - Doctoral

    Undergraduate Majors* Accounting Applied Mathematics Biology Business Computer Science Decision Sciences Economics Engineering Finance Government History Information Systems Law Mathematics Operations... View Details
    • Web

    HBR Classics - Alumni

    thinking and practice. As an exclusive benefit for HBS alumni, 77 of these HBR Classics are now available for free downloading. Please browse the collection below; login is required. Just click on a title to read online or download the case to your View Details
    • Web

    Fostering Innovation in Life Sciences - Health Care

    Evidence from Europe By: Fiona M. Scott Morton, Ariel Dora Stern and Scott Stern 15 Mar 2019 Science Targeting cancer and careers: Precision Medicine Re: Richard Hamermesh 21 Mar 2019 Working Knowledge Advancing Computational View Details
    • 01 Jan 2013
    • News

    Thai Lee, MBA 1985

    President and CEO, SHI International Download Lee profile Return to Alumni Achievement Awards main page TIMELINE 1958 Born, Bangkok, Thailand 1980 Earns BA, Biology and Economics, Amherst College 1985 Earns MBA 1985 Joins Procter & Gamble... View Details
    Keywords: Susan Young
    • 01 Jan 2004
    • News

    D. Ronald Daniel, MBA 1954

    graduated from HBS and was finishing a three-and-a-half-year stint as an officer in the U.S. Navy Supply Corps, in charge of a select group that used early models of giant IBM computers to manage inventory for the Navy's airplanes. About... View Details
    • Web

    3 Technologies that Will Change the World - Course Catalog

    company that is redefining digital art and creating a way for artists to capture value from their art. Synthetic Biology – Enabling us to reprogram DNA and rewrite the code of life (25% of sessions): We examine the potential for gene... View Details
    • Web

    Fellows | MBA

    Economics, Secondary in Computer Science Winthrop 2021 Cohort 3 Moritz Pail Computer Science / Mathematics Quincy 2025 Cohort 6 Krisha Patel Chemical & Physical Biology / View Details
    • 06 Jul 2021
    • Blog Post

    The MS/MBA Technology Showcase: A Celebration of Our Startups

    fascinated by molecular biology, that career path was no longer the best fit for me. Curiosity led me to take a programming class, which catapulted my career into technology. With no formal computer science degree, I broke into tech from... View Details
    • 18 Jul 2024
    • Blog Post

    Harvard Business School Announces Its 2024-2025 Blavatnik Fellows

    biologist at 10x Genomics, developing algorithms for groundbreaking single-cell and spatial transcriptomics products. Before that, he was a bioinformatics intern at Illumina. Narek holds an MEng and BSc in computer science and molecular... View Details
    • Web

    Krisha Patel | MBA

    Krisha Patel Chemical & Physical Biology / Computer Science Dunster 2025 Cohort 6 Innovation and technology are true architects of change, especially when used to develop solutions that are user-centric,... View Details
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