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- Faculty Publications (25)
Show Results For
- All HBS Web (46)
- Faculty Publications (25)
- 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).
- Article
Machine Learning Approaches to Facial and Text Analysis: Discovering CEO Oral Communication Styles
By: Prithwiraj Choudhury, Dan Wang, Natalie A. Carlson and Tarun Khanna
We demonstrate how a novel synthesis of three methods—(1) unsupervised topic modeling of text data to generate new measures of textual variance, (2) sentiment analysis of text data, and (3) supervised ML coding of facial images with a cutting-edge convolutional neural... View Details
Keywords: CEOs; Communication Style; Machine Learning; Spoken Communication; Nonverbal Communication; Personal Characteristics; Analysis; Performance
Choudhury, Prithwiraj, Dan Wang, Natalie A. Carlson, and Tarun Khanna. "Machine Learning Approaches to Facial and Text Analysis: Discovering CEO Oral Communication Styles." Strategic Management Journal 40, no. 11 (November 2019): 1705–1732.
- July 2023 (Revised July 2023)
- Background Note
Generative AI Value Chain
By: Andy Wu and Matt Higgins
Generative AI refers to a type of artificial intelligence (AI) that can create new content (e.g., text, image, or audio) in response to a prompt from a user. ChatGPT, Bard, and Claude are examples of text generating AIs, and DALL-E, Midjourney, and Stable Diffusion are... View Details
Keywords: AI; Artificial Intelligence; Model; Hardware; Data Centers; AI and Machine Learning; Applications and Software; Analytics and Data Science; Value
Wu, Andy, and Matt Higgins. "Generative AI Value Chain." Harvard Business School Background Note 724-355, July 2023. (Revised July 2023.)
- 29 Jan 2019
- HBS Seminar
Bryan Bollinger, Fuqua School of Business at Duke University
- 15 Dec 2009
- First Look
First Look: Dec. 15, 2009
Working PapersThe Global Networks of Multinational Firms Authors:Laura Alfaro and Maggie Chen Abstract In this paper we characterize the topology of global multinational networks and examine the macro and... View Details
Keywords: Martha Lagace
- Web
Human Behavior & Decision-Making - Faculty & Research
Research on Multiple Identities: Toward an Intrapersonal Network Approach By: Lakshmi Ramarajan Psychologists, sociologists, and philosophers have long recognized that people have multiple identities—based on attributes such as... View Details
- Web
Profiles - MBA
optimization in deep neural network training, and reinforcement learning in drug design and delivery for my senior thesis. Formative experience at the intersection of technology and business At Kensho, an... View Details
- 11 Feb 2020
- Sharpening Your Skills
10 Rules Entrepreneurs Need to Know Before Adopting AI
for neural networks increase, as does accessibility to off-the-shelf APIs from big tech and academic institutions that help speed up innovation. Entrepreneurs have also learned the wisdom of targeting AI... View Details
Keywords: by Rocio Wu
- Web
Technology & Operations Management Awards & Honors - Faculty & Research
Renewable Generation and Energy Storage Investments” with Simone Marinesi, and Serguei Netessine. Himabindu Lakkaraju : Honorable Mention for the Workshop on Trustworthy and Socially Responsible Machine Learning (TSRML) Outstanding Paper Award at the 2022 Conference on... View Details
- Web
Workshops & Technical Talks - Research Computing Services
Processing (NLP) in Python (RCS) Workshop Recording Code and data Introduction to Topic Modeling in Python (RCS) Workshop Recording Code and data Interactive Data Visualization with Python (RCS) Workshop Recording Code and data Introduction to View Details
- 13 Feb 2007
- First Look
First Look: February 13, 2007
realities of the global economy, fosters leadership, and uses citizen-diplomats to befriend moderates in troubled regions and business networks to ensure success in the major emerging economies; and (6) building community by stressing... View Details
Keywords: Martha Lagace
- 23 Oct 2012
- First Look
First Look: October 23
adaptive benefits of synchrony, including neural efficiency and the release of a reward signal that promotes future social interaction. In nature, neural synchrony yields behavioral synchrony. Humans use... View Details
Keywords: Sean Silverthorne
- 28 Aug 2018
- First Look
New Research and Ideas, August 28, 2018
although patenting in neural networks saw a strong burst of activity in the 1990s that has only recently been surpassed. In all technological fields, the number of patents per inventor has declined... View Details
Keywords: Dina Gerdeman
- 04 Nov 2014
- First Look
First Look: November 4
emotion regulation and utilitarian decision making. November 2014 Journal of Marketing Research Cost Conscious? The Neural and Behavioral Impact of Price Primacy on Decision-Making By: Karmarkar, Uma R., Baba Shiv, and Brian Knutson... View Details
Keywords: Sean Silverthorne
- 31 Aug 2017
- Blog Post
Why I Spent This Summer Coding
implementing the techniques myself that I grasped how biases can get trained into a neural network unintentionally. Being able to recognize these biases and observe how they take form helps to not only... View Details
Keywords: Technology
- 12 Oct 2017
- Blog Post
Why I Spent this Summer Coding
techniques myself that I grasped how biases can get trained into a neural network unintentionally. Being able to recognize these biases and observe how they take form helps to not only understand the problem... View Details
- 16 Oct 2018
- First Look
New Research and Ideas, October 16, 2018
Design Rules, Volume 2: How Technology Shapes Organizations: Chapter 5 Complementarity By: Baldwin, Carliss Y. Abstract—The purpose of this chapter is to relate the theory of task networks and technology set forth in previous chapters to... View Details
Keywords: Dina Gerdeman
- 30 Oct 2007
- First Look
First Look: October 30, 2007
in the multi-agent settings in which these decisions typically occur. In this paper, we develop a model that extends neural nets techniques to capture recognition processes in groups of decision-makers. We use the model to derive some... View Details
Keywords: Sean Silverthorne
- 02 Oct 2018
- First Look
New Research and Ideas, October 2, 2018
and the supervised ML coding of facial images with a neural network algorithm. We employ these novel methods to study CEO oral communication, using videos and corresponding transcripts of emerging market CEO... View Details
Keywords: Dina Gerdeman
- 26 Sep 2024
- HBS Case
If a Car Can Drive Itself, Can It Make Life-or-Death Decisions?
pass as human; others point to biases and microaggressions in computer-generated speech. Google Maps for ethical leaders Badaracco worries that leaders are caught up in the hype about what machines could do and not focusing enough on what they should do. From... View Details