Computer Science - Publications - Faculty & Research

Research Summary

(Avalok @ Harvard)

Bhaskar's research program is aimed at applying and developing methods of computer science, social science and law to problems that significantly have both political and technical dimensions. (Avalok @ Harvard) is the primary vehicle for this research... View Details

Magie Cheng

Mengjie (Magie) Cheng is a Ph.D. student in Marketing at Harvard Business School. She received her B.S. in Finance from Chu Kochen Honors College at Zhejiang University and M.S. in Management Science and... View Details

23 Apr 2014
HBS Seminar

David Lazer, Northeastern University

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

Edward McFowland III

Edward McFowland III is an Assistant Professor in the Technology and Operations Management Unit at Harvard Business School. He teaches the first-year TOM course in the required curriculum.

Professor McFowland’s research interests – which lie at the... View Details

15 May 2015
News

Ethical Negotiation: Not an Oxymoron

Himabindu Lakkaraju

Himabindu "Hima" Lakkaraju is an Assistant Professor of Business Administration at Harvard Business School. She is also a faculty affiliate in the Department of Computer Science at Harvard University, the Harvard Data Science Initiative, Center for Research on... View Details

22 Mar 2018
HBS Seminar

Daniela Saban, Stanford University

03 Feb 2015
News

What's missing in America's immigration debate

30 Nov 2016
HBS Seminar

Melissa Valentine and Michael Bernstein, Stanford University

Scott Duke Kominers

Scott Duke Kominers is a Professor of Business Administration in the Entrepreneurial Management Unit; as well as a Faculty Affiliate of the View Details

Harvard MS/MBA

The Harvard MS/MBA confers an MBA from HBS and a Master of Science in Engineering Sciences from Harvard's Paulson School of Engineering & Applied Sciences. Each year, the program enrolls about 30 students who have an undergraduate... View Details

May 2016 (Revised April 2018)
Case

Building the Digital Manufacturing Enterprise of the Future at Siemens

By: Willy Shih

This case describes the motivation for and the development of Siemens' digital manufacturing enterprise vision, which became the foundation for its implementation of Industrie 4.0. While the effort started with a purely defensive move by Anton Huber, head of the... View Details

Citation

Educators

Purchase

Silvan Baier is a doctoral student in Organizational Behavior at HBS and the Department of Sociology at Harvard University. He studies how social structures shape and are shaped by the organization, spread, and evaluation of ideas and people. In his research, he... View Details

TeachingInterests

Great Theorems of Microeconomic Theory

By: Jerry R. Green

This course covers the field of microeconomics as seen through the lens of the "great theorems" that have determined its evolution since WWII. During that time period the entire field of economics has changed. It is now described in terms of advanced mathematics, much... View Details

11 Feb 2013
News

Thorny research problems, solved by crowdsourcing

Article

Detecting Adversarial Attacks via Subset Scanning of Autoencoder Activations and Reconstruction Error

By: Celia Cintas, Skyler Speakman, Victor Akinwande, William Ogallo, Komminist Weldemariam, Srihari Sridharan and Edward McFowland III

Reliably detecting attacks in a given set of inputs is of high practical relevance because of the vulnerability of neural networks to adversarial examples. These altered inputs create a security risk in applications with real-world consequences, such as self-driving... View Details

Keywords: Autoencoder Networks; Pattern Detection; Subset Scanning; Computer Vision; Statistical Methods And Machine Learning; Machine Learning; Deep Learning; Data Mining; Big Data; Large-scale Systems; Mathematical Methods; Analytics and Data Science