Essays on collective intelligence

Thesis: Ph. D., Massachusetts Institute of Technology, Sloan School of Management, 2016.

Bibliographic Details
Main Authors: Nagar, Yiftach, Malone, Thomas W, Boer, Patrick De, Garcia, Ana Cristina Bicharra
Other Authors: Thomas W. Malone.
Format: Thesis
Language:eng
Published: Massachusetts Institute of Technology 2016
Subjects:
Online Access:http://hdl.handle.net/1721.1/105080
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author Nagar, Yiftach
Malone, Thomas W
Boer, Patrick De
Garcia, Ana Cristina Bicharra
author2 Thomas W. Malone.
author_facet Thomas W. Malone.
Nagar, Yiftach
Malone, Thomas W
Boer, Patrick De
Garcia, Ana Cristina Bicharra
author_sort Nagar, Yiftach
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description Thesis: Ph. D., Massachusetts Institute of Technology, Sloan School of Management, 2016.
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spelling mit-1721.1/1050802019-04-10T07:26:35Z Essays on collective intelligence Nagar, Yiftach Malone, Thomas W Boer, Patrick De Garcia, Ana Cristina Bicharra Thomas W. Malone. Sloan School of Management. Sloan School of Management. Sloan School of Management. Thesis: Ph. D., Massachusetts Institute of Technology, Sloan School of Management, 2016. Cataloged from PDF version of thesis. Includes bibliographical references. This dissertation consists of three essays that advance our understanding of collective-intelligence: how it works, how it can be used, and how it can be augmented. I combine theoretical and empirical work, spanning qualitative inquiry, lab experiments, and design, exploring how novel ways of organizing, enabled by advancements in information technology, can help us work better, innovate, and solve complex problems. The first essay offers a collective sensemaking model to explain structurational processes in online communities. I draw upon Weick's model of sensemaking as committed-interpretation, which I ground in a qualitative inquiry into Wikipedia's policy discussion pages, in attempt to explain how structuration emerges as interpretations are negotiated, and then committed through conversation. I argue that the wiki environment provides conditions that help commitments form, strengthen and diffuse, and that this, in turn, helps explain trends of stabilization observed in previous research. In the second essay, we characterize a class of semi-structured prediction problems, where patterns are difficult to discern, data are difficult to quantify, and changes occur unexpectedly. Making correct predictions under these conditions can be extremely difficult, and is often associated with high stakes. We argue that in these settings, combining predictions from humans and models can outperform predictions made by groups of people, or computers. In laboratory experiments, we combined human and machine predictions, and find the combined predictions more accurate and more robust than predictions made by groups of only people or only machines. The third essay addresses a critical bottleneck in open-innovation systems: reviewing and selecting the best submissions, in settings where submissions are complex intellectual artifacts whose evaluation require expertise. To aid expert reviewers, we offer a computational approach we developed and tested using data from the Climate CoLab - a large citizen science platform. Our models approximate expert decisions about the submissions with high accuracy, and their use can save review labor, and accelerate the review process. by Yiftach Nagar. Understanding collective-intelligence: the structuring of an online community as a collective-sensemaking process, by Yiftach Nagar -- Using collective-intelligence: combining human and machine predictions in semi-structured environments, by Yiftach Nagar and Thomas W. Malone -- Augmenting collective-intelligence: accelerating the review of complex intellectual artifacts in open-innovation challenges, by Yiftach Nagar, Patrick De Boer and Ana Cristina Bicharra Garcia. Ph. D. 2016-10-25T19:52:57Z 2016-10-25T19:52:57Z 2016 2016 Thesis http://hdl.handle.net/1721.1/105080 960723046 eng M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 128 pages application/pdf Massachusetts Institute of Technology
spellingShingle Sloan School of Management.
Nagar, Yiftach
Malone, Thomas W
Boer, Patrick De
Garcia, Ana Cristina Bicharra
Essays on collective intelligence
title Essays on collective intelligence
title_full Essays on collective intelligence
title_fullStr Essays on collective intelligence
title_full_unstemmed Essays on collective intelligence
title_short Essays on collective intelligence
title_sort essays on collective intelligence
topic Sloan School of Management.
url http://hdl.handle.net/1721.1/105080
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