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                        "user": "Benjamin Mako Hill",
                        "timestamp": "2024-05-15T20:06:29Z",
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                                "*": "__NOTOC__\n\nThe '''Community Data Science Collective''' is an interdisciplinary research group made up of faculty and students at the [http://www.com.washington.edu/ University of Washington Department of Communication], the [https://communication.northwestern.edu/academics/communication-studies/ Northwestern University Department of Communication Studies], the [https://www.carleton.edu/computer-science/ Carleton College Computer Science Department], and the [https://www.cla.purdue.edu/academic/communication/ Purdue University School of Communication].\n\n<div class=\"row\">\n<div class=\"col-md-9\">\n<div class=\"res-box\">[[File:CDSC_group_photo-20230923-fun.jpg|frameless|1741px|[[People|CDSC members]] at the CDSC group retreat in September 2023 in Evanston. Check out our other [[group photos]]!]]</div>\n\nWe are social scientists applying a range of quantitative and qualitative methods to the study of online communities. We seek to understand both how and why some attempts at collaborative production \u2014 like Wikipedia and Linux \u2014 build large volunteer communities and high quality work products.\n\nOur research is particularly focused on how the design of communication and information technologies shape fundamental social outcomes with broad theoretical and practical implications \u2014 like an individual\u2019s decision to join a community, contribute to a public good, or a group\u2019s ability to make decisions democratically.\n\nOur research is deeply interdisciplinary, most frequently consists of \u201cbig data\u201d quantitative analyses, and lies at the intersection of communication, sociology, and human-computer interaction.\n\nTo learn more about the CDSC, please check out our [[About|about page]] (especially the links there). Prospective students should also review [[CommunityData:Prospective_students|these materials]].\n\n== Courses ==\n\nIn addition to research, we teach classes and run workshops. Some of that work is coordinated on this wiki. A more detailed lists of workshops and teaching material on this wiki is on our [[Workshops and Classes]] page. In this page, we only list ongoing classes and workshops.\n<!-- === Northwestern Courses === -->\n\n=== Purdue Courses ===\n\n* '''[Summer 2023]''' '''[[Advanced Computational Communication Methods (Summer 2023) | Advanced Computational Communication Methods]]''' &ndash; In this class, we will investigate a number of more advanced methods or concepts not covered in the Intro to Programming and Data Science course, including SQL, computational text analysis, creating reproducible projects, and advanced visualization.\n\n* '''[Spring 2023]''' '''[[Quantitative_Methods_for_Communication_(Spring_2023) | Quantitative Methods for Communication]]''' &ndash; This course introduces students to a range of social-scientific research methods used to investigate human communication, with a focus on research design, statistics, and statistical software. Taught by [[User:Jdfoote|Jeremy Foote]] and Hazel Chiu.\n\n<!--\n* '''[Fall 2022]''' '''[[Communication and Social Networks (Fall 2022)|Communication and Social Networks (COM 411, Fall 2022)]]''' &ndash; This class focuses on understanding how the structure of relationships between people influence communication patterns and behavior. This perspective can help us to understand a broad set of phenomena, from online communities to friendships to businesses. The course will also introduce students to using network visualizations to gain and share insights about network phenomena. Taught by [[User:Jdfoote|Jeremy Foote]].\n\n* '''[Fall 2022]''' '''[[Intro to Programming and Data Science (Fall 2022)|Intro to Programming and Data Science (COM 674, Fall 2022)]]'''  Taught by [[User:Jdfoote|Jeremy Foote]].\n-->\n\n=== University of Washington Courses ===\n\n\n* '''[Spring 2024]''' [[Online Communities (UW COM481 Spring 2024)|COM 481: Online Communities]]''' \u2014 A course on online communities taught by [[User:Kaylea|Kaylea Champion]].\n\n== Public Data Science Workshops ==\n{{banner}}\n\n'''[[Community Data Science Workshops]]''' \u2014 The Community Data Science Workshops (CDSW) are a series of workshops designed to introduce some of the basic tools of programming and analysis of data from online communities to absolute beginners. The CDSW have been held six times in Seattle between 2014 and 2020. So far, more than 100 people have volunteered their weekends to teach more than 500 people to program in Python, to build datasets from Web APIs, and to ask and answer questions using these data.\n\n<gallery mode=\"packed-overlay\" heights=\"100px\">\nCommunity_Data_Science_Workshops_(Spring_2015)_at_University_of_Washington_34.jpg\nCommunity_Data_Science_Workshops_(Spring_2015)_at_University_of_Washington_14.jpg\nCommunity_Data_Science_Workshops_(Spring_2015)_at_University_of_Washington_19.jpg\nCommunity_Data_Science_Workshops_(Spring_2015)_at_University_of_Washington_36.jpg\n</gallery>\n\n== Research Resources ==\n\nIf you are a member of the collective, perhaps you're looking for [[CommunityData:Resources]] which includes details on email, TeX templates, documentation on our computing resources, etc.\n\n== About This Wiki==\n\nThis is open to the public and hackable by all but mostly contains information that will be useful to collective members, their collaborators, people enrolled in their projects, or people interested in building off of their work. If you're interested in making a change or creating content here, generally feel empowered to [[:w:WP:BOLD|Be Bold]]. If things don't fit, somebody who watches this wiki will be in touch.\n\nThis is mostly a normal [https://www.mediawiki.org/wiki/MediaWiki MediaWiki] although there are a few things to know:\n\n* There's a CAPTCHA enabled. If you create an account and then contact any [[People|collective member]] with the username (on or off wiki), they can turn the CAPTCHA off for you. \n* [https://www.mediawiki.org/wiki/Extension:Math Extension:Math] is installed so you can write math here. Basically you just add math by putting TeX inside <nowiki><math></nowiki> tags like this: <nowiki><math>\\frac{\\sigma}{\\sqrt{n}}</math></nowiki> and it will write <math>\\frac{\\sigma}{\\sqrt{n}}</math>.\n</div>\n\n<div class=\"col-md-3\" style=\"font-size: 80%;\">\n<h3>Research News</h3>\n\nFollow us as [https://twitter.com/comdatasci @comdatasci on Twitter] and [https://social.coop/@communitydata @communitydata@social.coop in the Fediverse/Mastodon] and subscribe to the [https://blog.communitydata.science/ Community Data Science Collective blog].\n\nRecent posts from the blog include:\n\n<rss max=5 date=\"Y-m-d\">https://blog.communitydata.science/feed/atom/</rss>\n\n</div>\n</div>"
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