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MIT/ILP Calendar Event

Understanding and Predicting Technological Innovation: New Data and Theory

July 23-27, 2018

Overview

This course on technological innovation will be organized around three modules on (1) Data, (2) Theory, and (3) Application. In the first module, we will analyze new, large data sets on technological improvement, many of which were collected by the instructor and are the most expansive of their kind. We will cover statistical analysis methods and decomposition models in order to extract useful insight on the determinants of technological innovation. Examples from energy conversion, transportation, chemicals, metals, information technology, and a range of other industries will be discussed. In the second module, we will cover theories, that have been developed in recent years and stretching back several decades, to explain technological innovation. We will cover the disciplinary origins of these theories, the empirical evidence for or against them, and the usefulness of these theories for practitioners from various fields including engineering, chemicals, private investment, and public policy. Building on this insight, in the third module we will focus on applying the data analysis methods and theories covered to inform decisions about technology investment and design. The third module will address questions of specific interest to the class. This module will demonstrate the utility of the material covered and how it can be extended to answer a wide range of important questions relating to investment, research and development, manufacturing, and public policy.

Location

Cambridge, MA USA

MIT is located in Cambridge, Massachusetts. The campus, situated in close proximity to Boston’s Logan International Airport, profits from Boston’s excellent public transportation system and the on-campus Tech Shuttle. The closest subway station is Kendall Square, which acts as a commercial center for MIT and the local community.

Registration

FOR FURTHER INFORMATION OR TO REGISTER, CONTACT:

MIT Professional Education - Short Programs
238 Main Street, Suite 401
Cambridge, MA 02139
TEL: 617 253 2101 * FAX: 617 258 8831
e-mail: shortprograms@mit.edu

ILP members receive a 15% discount on all MIT Professional Education open enrollment programs held in Massachusetts. ILP members receive a 15% discount on all MIT Professional Education courses. To obtain the discount code, click here (you must be signed in to this website as an ILP member to access the code).