Mapping Researchers with PeopleMap
Discovering research expertise at universities can be a difficult task. Directories routinely become outdated, and few help in visually summarizing researchers' work or supporting the exploration of shared interests among researchers. This results in lost opportunities for both internal and ext...
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creator | Saad-Falcon, Jon Shaikh, Omar Wang, Zijie J Wright, Austin P Richardson, Sasha Chau, Duen Horng |
description | Discovering research expertise at universities can be a difficult task.
Directories routinely become outdated, and few help in visually summarizing
researchers' work or supporting the exploration of shared interests among
researchers. This results in lost opportunities for both internal and external
entities to discover new connections, nurture research collaboration, and
explore the diversity of research. To address this problem, at Georgia Tech, we
have been developing PeopleMap, an open-source interactive web-based tool that
uses natural language processing (NLP) to create visual maps for researchers
based on their research interests and publications. Requiring only the
researchers' Google Scholar profiles as input, PeopleMap generates and
visualizes embeddings for the researchers, significantly reducing the need for
manual curation of publication information. To encourage and facilitate easy
adoption and extension of PeopleMap, we have open-sourced it under the
permissive MIT license at https://github.com/poloclub/people-map. PeopleMap has
received positive feedback and enthusiasm for expanding its adoption across
Georgia Tech. |
doi_str_mv | 10.48550/arxiv.2009.00091 |
format | Article |
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Directories routinely become outdated, and few help in visually summarizing
researchers' work or supporting the exploration of shared interests among
researchers. This results in lost opportunities for both internal and external
entities to discover new connections, nurture research collaboration, and
explore the diversity of research. To address this problem, at Georgia Tech, we
have been developing PeopleMap, an open-source interactive web-based tool that
uses natural language processing (NLP) to create visual maps for researchers
based on their research interests and publications. Requiring only the
researchers' Google Scholar profiles as input, PeopleMap generates and
visualizes embeddings for the researchers, significantly reducing the need for
manual curation of publication information. To encourage and facilitate easy
adoption and extension of PeopleMap, we have open-sourced it under the
permissive MIT license at https://github.com/poloclub/people-map. PeopleMap has
received positive feedback and enthusiasm for expanding its adoption across
Georgia Tech.</description><identifier>DOI: 10.48550/arxiv.2009.00091</identifier><language>eng</language><subject>Computer Science - Computation and Language ; Computer Science - Digital Libraries ; Computer Science - Human-Computer Interaction</subject><creationdate>2020-08</creationdate><rights>http://arxiv.org/licenses/nonexclusive-distrib/1.0</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>228,230,780,885</link.rule.ids><linktorsrc>$$Uhttps://arxiv.org/abs/2009.00091$$EView_record_in_Cornell_University$$FView_record_in_$$GCornell_University$$Hfree_for_read</linktorsrc><backlink>$$Uhttps://doi.org/10.48550/arXiv.2009.00091$$DView paper in arXiv$$Hfree_for_read</backlink></links><search><creatorcontrib>Saad-Falcon, Jon</creatorcontrib><creatorcontrib>Shaikh, Omar</creatorcontrib><creatorcontrib>Wang, Zijie J</creatorcontrib><creatorcontrib>Wright, Austin P</creatorcontrib><creatorcontrib>Richardson, Sasha</creatorcontrib><creatorcontrib>Chau, Duen Horng</creatorcontrib><title>Mapping Researchers with PeopleMap</title><description>Discovering research expertise at universities can be a difficult task.
Directories routinely become outdated, and few help in visually summarizing
researchers' work or supporting the exploration of shared interests among
researchers. This results in lost opportunities for both internal and external
entities to discover new connections, nurture research collaboration, and
explore the diversity of research. To address this problem, at Georgia Tech, we
have been developing PeopleMap, an open-source interactive web-based tool that
uses natural language processing (NLP) to create visual maps for researchers
based on their research interests and publications. Requiring only the
researchers' Google Scholar profiles as input, PeopleMap generates and
visualizes embeddings for the researchers, significantly reducing the need for
manual curation of publication information. To encourage and facilitate easy
adoption and extension of PeopleMap, we have open-sourced it under the
permissive MIT license at https://github.com/poloclub/people-map. PeopleMap has
received positive feedback and enthusiasm for expanding its adoption across
Georgia Tech.</description><subject>Computer Science - Computation and Language</subject><subject>Computer Science - Digital Libraries</subject><subject>Computer Science - Human-Computer Interaction</subject><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>GOX</sourceid><recordid>eNotjs0KgkAYRWfTIqwHaJW0177PcXRmGdIfGEW4lxmbScFKxujn7TOLC_cuDlwOIRMEP-SMwVzaV_XwAwDhQ1c4JLOdbJrqenaPutXSFqW2rfus7qV70Lem1h0ekYGRdavH_3VItlpmycZL9-ttskg9GcXoccCIShViLBBAKREZTfnJMA4BRxMzAYIj6lAWAXaJBCpOwQjFlAnRUIdMf7e9ZN7Y6iLtO__K5r0s_QDGyTdP</recordid><startdate>20200831</startdate><enddate>20200831</enddate><creator>Saad-Falcon, Jon</creator><creator>Shaikh, Omar</creator><creator>Wang, Zijie J</creator><creator>Wright, Austin P</creator><creator>Richardson, Sasha</creator><creator>Chau, Duen Horng</creator><scope>AKY</scope><scope>GOX</scope></search><sort><creationdate>20200831</creationdate><title>Mapping Researchers with PeopleMap</title><author>Saad-Falcon, Jon ; Shaikh, Omar ; Wang, Zijie J ; Wright, Austin P ; Richardson, Sasha ; Chau, Duen Horng</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a671-80163ab4179100bb96fe38df580281f75909811e4ac21212691b830f9b5bf41f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Computer Science - Computation and Language</topic><topic>Computer Science - Digital Libraries</topic><topic>Computer Science - Human-Computer Interaction</topic><toplevel>online_resources</toplevel><creatorcontrib>Saad-Falcon, Jon</creatorcontrib><creatorcontrib>Shaikh, Omar</creatorcontrib><creatorcontrib>Wang, Zijie J</creatorcontrib><creatorcontrib>Wright, Austin P</creatorcontrib><creatorcontrib>Richardson, Sasha</creatorcontrib><creatorcontrib>Chau, Duen Horng</creatorcontrib><collection>arXiv Computer Science</collection><collection>arXiv.org</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Saad-Falcon, Jon</au><au>Shaikh, Omar</au><au>Wang, Zijie J</au><au>Wright, Austin P</au><au>Richardson, Sasha</au><au>Chau, Duen Horng</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Mapping Researchers with PeopleMap</atitle><date>2020-08-31</date><risdate>2020</risdate><abstract>Discovering research expertise at universities can be a difficult task.
Directories routinely become outdated, and few help in visually summarizing
researchers' work or supporting the exploration of shared interests among
researchers. This results in lost opportunities for both internal and external
entities to discover new connections, nurture research collaboration, and
explore the diversity of research. To address this problem, at Georgia Tech, we
have been developing PeopleMap, an open-source interactive web-based tool that
uses natural language processing (NLP) to create visual maps for researchers
based on their research interests and publications. Requiring only the
researchers' Google Scholar profiles as input, PeopleMap generates and
visualizes embeddings for the researchers, significantly reducing the need for
manual curation of publication information. To encourage and facilitate easy
adoption and extension of PeopleMap, we have open-sourced it under the
permissive MIT license at https://github.com/poloclub/people-map. PeopleMap has
received positive feedback and enthusiasm for expanding its adoption across
Georgia Tech.</abstract><doi>10.48550/arxiv.2009.00091</doi><oa>free_for_read</oa></addata></record> |
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subjects | Computer Science - Computation and Language Computer Science - Digital Libraries Computer Science - Human-Computer Interaction |
title | Mapping Researchers with PeopleMap |
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