{"id":{"repo_id":"mit","oai_identifier":"oai:dspace.mit.edu:1721.1/105032"},"canonical_url":"https://search.dev.ndltd.org/etd/mit/oai:dspace.mit.edu:1721.1/105032","repository":{"repo_id":"mit","name":"MIT","base_url":"https://dspace.mit.edu/oai/request"},"display":{"title":"The spatial and institutional factors of knowledge production at MIT","abstract":"Academic research is increasingly cross-disciplinary and collaborative - around the globe and within institutions. In this context, what is the role and relevance of the campus? I examine the scholarly output and collaboration patterns of the Massachusetts Institute of Technology as they pertain to its interrelated organizational structures, including institutional affiliation and spatial configuration, over a 10-year time span. There are four significant results: 1. diverging trends in the composition of collaborative teams over time (size, faculty versus non-faculty, etc.) between papers and patents; 2. patterns of cross-building and cross-disciplinary collaboration are substantively different between papers and patents; 3. a network topology and community structure that reveals spatial versus institutional collaboration trends; and 4. a persistent relationship between proximity and collaboration, well fit with an exponential decay model, that is consistent for papers, patents, and for specifically cross-disciplinary work. These insights contribute an architectural dimension to the field of scientometrics, taking a first step toward empirical foundations for applied institutional policy and spatial planning.","abstract_html":"Academic research is increasingly cross-disciplinary and collaborative - around the globe and within institutions. In this context, what is the role and relevance of the campus? I examine the scholarly output and collaboration patterns of the Massachusetts Institute of Technology as they pertain to its interrelated organizational structures, including institutional affiliation and spatial configuration, over a 10-year time span. There are four significant results: 1. diverging trends in the composition of collaborative teams over time (size, faculty versus non-faculty, etc.) between papers and patents; 2. patterns of cross-building and cross-disciplinary collaboration are substantively different between papers and patents; 3. a network topology and community structure that reveals spatial versus institutional collaboration trends; and 4. a persistent relationship between proximity and collaboration, well fit with an exponential decay model, that is consistent for papers, patents, and for specifically cross-disciplinary work. These insights contribute an architectural dimension to the field of scientometrics, taking a first step toward empirical foundations for applied institutional policy and spatial planning.","abstract_has_math":false,"creators":["Claudel, Matthew (Matthew Christopher)"],"institution":"Massachusetts Institute of Technology","degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":"Massachusetts Institute of Technology. Department of Urban Studies and Planning.","school":null,"contributors":[],"advisors":["Carlo Ratti and Fiona Murray."],"committee_chairs":[],"committee_members":[],"year":2016,"date_issued":"2016","date_published":"2016","updated_at":"2026-07-22T22:21:59Z","subjects":["Urban Studies and Planning."],"languages":["eng"],"rights":["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."],"rights_urls":["http://dspace.mit.edu/handle/1721.1/7582"],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/1721.1/105032","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.advisor","label":"Advisor","values":["Carlo Ratti and Fiona Murray."]},{"key":"dc:contributor.department","label":"Department","values":["Massachusetts Institute of Technology. Department of Urban Studies and Planning."]},{"key":"dc:contributor.other","label":"Dc Contributor Other","values":["Massachusetts Institute of Technology. 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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."]},{"key":"dc:rights.uri","label":"Rights URI","values":["http://dspace.mit.edu/handle/1721.1/7582"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier.uri","label":"Identifier URI","values":["http://hdl.handle.net/1721.1/105032"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Thesis: S.M., Massachusetts Institute of Technology, Department of Urban Studies and Planning, 2016.","Cataloged from PDF version of thesis.","Includes bibliographical references (pages 59-62)."]},{"key":"dc:description.abstract","label":"Abstract","values":["Academic research is increasingly cross-disciplinary and collaborative - around the globe and within institutions. In this context, what is the role and relevance of the campus? I examine the scholarly output and collaboration patterns of the Massachusetts Institute of Technology as they pertain to its interrelated organizational structures, including institutional affiliation and spatial configuration, over a 10-year time span. There are four significant results: 1. diverging trends in the composition of collaborative teams over time (size, faculty versus non-faculty, etc.) between papers and patents; 2. patterns of cross-building and cross-disciplinary collaboration are substantively different between papers and patents; 3. a network topology and community structure that reveals spatial versus institutional collaboration trends; and 4. a persistent relationship between proximity and collaboration, well fit with an exponential decay model, that is consistent for papers, patents, and for specifically cross-disciplinary work. These insights contribute an architectural dimension to the field of scientometrics, taking a first step toward empirical foundations for applied institutional policy and spatial planning."]},{"key":"dc:description.degree","label":"Dc Description Degree","values":["S.M."]},{"key":"dc:title","label":"Title","values":["The spatial and institutional factors of knowledge production at MIT"]}]}],"canonical_facts":{"dc:contributor.advisor":["Carlo Ratti and Fiona Murray."],"dc:contributor.department":["Massachusetts Institute of Technology. Department of Urban Studies and Planning."],"dc:contributor.other":["Massachusetts Institute of Technology. Department of Urban Studies and Planning."],"dc:creator":["Claudel, Matthew (Matthew Christopher)"],"dc:date.accessioned":["2016-10-25T19:50:23Z"],"dc:date.available":["2016-10-25T19:50:23Z"],"dc:date.issued":["2016"],"dc:description":["Thesis: S.M., Massachusetts Institute of Technology, Department of Urban Studies and Planning, 2016.","Cataloged from PDF version of thesis.","Includes bibliographical references (pages 59-62)."],"dc:description.abstract":["Academic research is increasingly cross-disciplinary and collaborative - around the globe and within institutions. In this context, what is the role and relevance of the campus? I examine the scholarly output and collaboration patterns of the Massachusetts Institute of Technology as they pertain to its interrelated organizational structures, including institutional affiliation and spatial configuration, over a 10-year time span. There are four significant results: 1. diverging trends in the composition of collaborative teams over time (size, faculty versus non-faculty, etc.) between papers and patents; 2. patterns of cross-building and cross-disciplinary collaboration are substantively different between papers and patents; 3. a network topology and community structure that reveals spatial versus institutional collaboration trends; and 4. a persistent relationship between proximity and collaboration, well fit with an exponential decay model, that is consistent for papers, patents, and for specifically cross-disciplinary work. 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