https://www.interpretivedatascience.com/blog daily 0.75 2020-08-12 https://www.interpretivedatascience.com/blog/ideas-conference monthly 0.5 2020-08-11 https://images.squarespace-cdn.com/content/v1/5f07c86a9d9e086fa90dd05a/1597167945284-BOWY4ZC3K2HF3X2X1WN0/ideas2019.jpg Blog - IDeaS 2019 Conference: Perspectives (I) https://www.interpretivedatascience.com/blog/ideas-2019-conference-perspectives-ii monthly 0.5 2020-08-11 https://images.squarespace-cdn.com/content/v1/5f07c86a9d9e086fa90dd05a/1597167710625-NJ1L3II1F99QH65PIWOS/Screenshot+at+Aug+11+11-40-11.png Blog - IDeaS 2019 Conference: Perspectives (II) https://www.interpretivedatascience.com/blog/great-ideas-for-network-and-fun monthly 0.5 2020-08-12 https://images.squarespace-cdn.com/content/v1/5f07c86a9d9e086fa90dd05a/1597245849564-OPTJJBRZVKN1EAYT92X0/ideasnetworkandfun.png Blog - Great IDeaS for Network and Fun https://www.interpretivedatascience.com/contact-us daily 0.75 2020-07-27 https://www.interpretivedatascience.com/2020-conference daily 0.75 2020-07-24 https://images.squarespace-cdn.com/content/v1/5f07c86a9d9e086fa90dd05a/1595536860990-JNSGLA67I1GE1LVZFKB7/image-asset.jpeg 2020 Conference - 2020 Program Summary Lorem ipsum dolor sit amet, consectetur adipiscing elit. 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Mauris vitae imperdiet tellus. https://images.squarespace-cdn.com/content/v1/5f07c86a9d9e086fa90dd05a/1595559859610-BDJIDDTS9FZFKKD6M8JT/image-asset.jpeg 2020 Conference https://images.squarespace-cdn.com/content/v1/5f07c86a9d9e086fa90dd05a/1595559992256-G2C9Z8XSVXRU1WGR1LW2/image-asset.jpeg 2020 Conference https://images.squarespace-cdn.com/content/v1/5f07c86a9d9e086fa90dd05a/1595559743527-1TJ4AU0OARGM8IGWB06T/image-asset.jpeg 2020 Conference https://www.interpretivedatascience.com/research daily 0.75 2021-07-03 https://images.squarespace-cdn.com/content/v1/5f07c86a9d9e086fa90dd05a/1625310884704-9RAA7TSMOCD9HYC53VYR/ecosystem.png Research - Make it stand out Date: 03 Jul 2021 Authors: Timothy Hannigan, Anthony Briggs, Rodrigo Valadao, Marc-David L. Seidel, and P. Devereaux Jennings Publication: Forthcoming in the Research Policy journal Abstract: Ecosystems are typically evaluated and understood using standard visible material metrics, such as new products, patents, startups, VC funding, jobs, and successful exits. Yet emerging entrepreneurial ecosystems (EEEs) provide many possibilities for members not signaled by such visible markers. Consequently, policymakers may have a difficult time making informed decisions about incentives and regulations to foster economic growth through ecosystem emergence. To address this methods and measurement issue, we conceptualize emerging systems using both cultural and material approaches to develop a comparative typology and apply it to an emerging regional ecosystem growing around artificial intelligence (AI). We render cultural and material maps using topic modeling of Twitter feeds versus well-placed others, identify strategies in each, and discuss relevant policies for enhancing EEEs to realize various economic opportunities. This method adds to policy analytics and suggests policies for building cultural infrastructure in EEEs. https://images.squarespace-cdn.com/content/v1/5f07c86a9d9e086fa90dd05a/1596638336443-G7U899V1IGRAFP2JAGUQ/image-asset.jpeg Research https://images.squarespace-cdn.com/content/v1/5f07c86a9d9e086fa90dd05a/1594693852642-MCIJ6TZF11DKW8AKASSR/image-asset.jpeg Research https://images.squarespace-cdn.com/content/v1/5f07c86a9d9e086fa90dd05a/1596577920422-ZCHL1QNTXQ7Z8FSGAAHW/digital_art_tiles_square_colorful_cube_3D_Rubik%27s_Cube-143729_sml.png Research - Date: 22 Oct 2018 Authors: Richard F.J. Haans Publication: Strategic Management Journal Abstract: Is moderate distinctiveness optimal for performance? Answers to this question have been mixed, with both inverted U and U‐shaped relationships being argued for and found in the literature. I show how nearly identical mechanisms driving the distinctiveness‐performance relationship can yield both U‐shaped and inverted U‐shaped effects due to differences in relative strength, rather than their countervailing nature. Incorporating distinctiveness heterogeneity, I theorize a U‐shaped effect in homogeneous categories that flattens into an inverted U in heterogeneous categories. Results combining a topic model of 69,188 organizational websites with survey data from 2,279 participants in the Dutch creative industries show a U‐shaped effect in homogeneous categories, flattening and then disappearing in more heterogeneous categories. How distinctiveness affects performance thus depends entirely on how distinct others are. https://images.squarespace-cdn.com/content/v1/5f07c86a9d9e086fa90dd05a/1595464937159-G4J5YPSJ5D9E33CNKAPV/monitor-933392_1280.jpg Research https://images.squarespace-cdn.com/content/v1/5f07c86a9d9e086fa90dd05a/1596578141617-5T9OQEUO4DDYOH87PW4S/topic+modeling.png Research Date: 15 Jul 2019 Authors: Timothy R. Hannigan, Richard F. J. Haans, Keyvan Vakili, Hovig Tchalian, Vern L. Glaser, Milo Shaoqing Wang, Sarah Kaplan and P. Devereaux Jennings Publication: Academy of Management Annals Abstract: Increasingly, management researchers are using topic modeling, a new method borrowed from computer science, to reveal phenomenon-based constructs and grounded conceptual relationships in textual data. By conceptualizing topic modeling as the process of rendering constructs and conceptual relationships from textual data, we demonstrate how this new method can advance management scholarship without turning topic modeling into a black box of complex computer-driven algorithms. We begin by comparing features of topic modeling to related techniques (content analysis, grounded theorizing, and natural language processing). We then walk through the steps of rendering with topic modeling and apply rendering to management articles that draw on topic modeling. Doing so enables us to identify and discuss how topic modeling has advanced management theory in five areas: detecting novelty and emergence, developing inductive classification systems, understanding online audiences and products, analyzing frames and social movements, and understanding cultural dynamics. We conclude with a review of new topic modeling trends and revisit the role of researcher interpretation in a world of computer-driven textual analysis. https://images.squarespace-cdn.com/content/v1/5f07c86a9d9e086fa90dd05a/1594414327918-WRVE5W5QX57K21X3PWL4/Large+JPG-Aro+Ha_0428.jpg Research - Build it. Date: 5 Jul 2020 Authors: Timothy R. Hannigan, Milo Shaoqing Wang, Christopher W. J. Steele, Marc-David L. Seidel, Ed Cervantes, & P. Devereaux Jennings Publication: Behavioral Science & Policy Association Abstract: We showcase the usefulness of a sociocultural community network approach to covid-19 contagion. Rather than modeling the atomistic individual as a social unit in an SEIR type model, we encourage researchers and policy makers to focus on social units, such as households, which, in turn, are part of sociocultural networks in a community and embedded in regional or country culture. Contagion occurs via culturally conditioned social unit interaction in these community networks. Based on this approach and our preliminary simulation results, we offer three policy suggestions for analysts, two for policymakers, and two for practitioners. https://www.interpretivedatascience.com/news daily 0.75 2021-01-04 https://images.squarespace-cdn.com/content/v1/5f07c86a9d9e086fa90dd05a/1597249888992-ESJKQ9KMITJKADGG0HSQ/alberta.png News https://images.squarespace-cdn.com/content/v1/5f07c86a9d9e086fa90dd05a/1595374945476-RKAEIJA9AM95EWJ3F6OS/Untitled+design+%284%29.png News https://images.squarespace-cdn.com/content/v1/5f07c86a9d9e086fa90dd05a/1597420261371-WP3H1PW9MQ2D52DRLKUU/image-asset.jpeg News https://images.squarespace-cdn.com/content/v1/5f07c86a9d9e086fa90dd05a/1595374567902-RL44FUNAP0VPKY3TDRNV/file-20200707-30-qte17b+%281%29.jpg News https://images.squarespace-cdn.com/content/v1/5f07c86a9d9e086fa90dd05a/1609774604994-VLMISG71DEU3LLQ61FEV/image-asset.jpeg News https://www.interpretivedatascience.com/ideas2019 daily 0.75 2022-05-19 https://images.squarespace-cdn.com/content/v1/5f07c86a9d9e086fa90dd05a/1595535994134-C2NAYECY4W2LK3QASKRN/93079ced9586d0fc5d4b0165097c5dc1_-alberta-division-no-11-edmonton-south-central-edmonton-alberta-school-of-businesshtml%252B%2525281%252529.jpg IDeaS 2019 - 2019 Program Summary Title: Interpretive Approaches to Data Science in Management Research Date: October 25-26th, 2019 Venue: Alberta School of Business, University of Alberta. Room BUS 5-04 Description: The IDEAS group is an emerging working group, coming out of a collaboration between the University of Alberta and University of British Columbia. We were pleased to offer a two-day intensive workshop that provided management doctoral students and faculty members working in the areas of data science, data analysis, Big Data, and artificial intelligence an opportunity to discuss and advance their ongoing research. Distinctively, this event drew three interrelated topics that are more normally studied in separate scholarly communities: The reflexive and theoretically informed use of new data analytic techniques in the social sciences that leverage sophisticated algorithms such as topic modeling, natural language processing, and other forms of machine learning. The everyday work of data analysts in organizations - how they construct knowledge practices, and the epistemic infrastructures of organizations; both as an interesting ethnographic and qualitative topic in its own right, and as a means of encouraging our own reflexivity. The societal, social, and cultural transformations attending the rise of data and analytics – including changing forms and interpretations of privacy and governmentality – to which social scientists should be able to speak. https://images.squarespace-cdn.com/content/v1/5f07c86a9d9e086fa90dd05a/1595529819599-YCQVFR5Z49I6J25V0JLN/Screenshot%2B%2528120%2529.jpg IDeaS 2019 https://images.squarespace-cdn.com/content/v1/5f07c86a9d9e086fa90dd05a/1595530843623-F72N7K1CZVGSND2K3WEQ/wendy-espeland_photo-by-tony-rinaldo_373px.jpg IDeaS 2019 https://images.squarespace-cdn.com/content/v1/5f07c86a9d9e086fa90dd05a/1594656755226-ZAFJJWFBGEH5V0L9L5GC/Marc-David-Seidel.jpg IDeaS 2019 https://images.squarespace-cdn.com/content/v1/5f07c86a9d9e086fa90dd05a/1596651151363-OW0XPIYQ0KSKVVRDP3DA/lauranelson.png IDeaS 2019 https://www.interpretivedatascience.com/privacynotice daily 0.75 2020-08-23 https://www.interpretivedatascience.com/relatedcentres daily 0.75 2020-08-05 https://images.squarespace-cdn.com/content/v1/5f07c86a9d9e086fa90dd05a/1596649540274-FKI869I1KPR7EXDV4GKQ/image-asset.jpeg Related Centres https://images.squarespace-cdn.com/content/v1/5f07c86a9d9e086fa90dd05a/1596649972282-CBCOKAHB5B9XE73J8NBH/image-asset.jpeg Related Centres https://images.squarespace-cdn.com/content/v1/5f07c86a9d9e086fa90dd05a/1596643881444-6FJP037UJVCBADONHD6W/mk.png Related Centres https://images.squarespace-cdn.com/content/v1/5f07c86a9d9e086fa90dd05a/1596649205790-IMKOBW15CBDFHHZGYT43/maurice.png Related Centres https://images.squarespace-cdn.com/content/v1/5f07c86a9d9e086fa90dd05a/1596649271960-U32N7J8QPUIFDWJK3426/CEFE.png Related Centres https://www.interpretivedatascience.com/about-us daily 0.75 2024-03-20 https://images.squarespace-cdn.com/content/v1/5f07c86a9d9e086fa90dd05a/1594845060523-G5GCQ3N2L47D0A5ND0B2/image-asset.jpeg About Us - What is IDeaS? The emergence of data science and analytics has transformed society at large. To effectively understand this phenomenon, we believe we need an interpretative and cultural approach. The Interpretive Data Science (IDeaS) Group is an emerging working group that was created to apply interpretive approaches to big data modeling and theorizing in the social sciences. IDeaS is collaborative and informally structured. We strive to approach the field of data science from an interdisciplinary and interstitial perspective by bringing together scholarly communities who do not normally interact with one another. Our members are trying to push the boundaries of research in interpretative data science by combining quantitative and qualitative methodologies with emergent and more formalistic theorizing. Through a combination of an analytical lens with a humanist approach, we intend on showcasing the field of data science in a brand new light. Our ultimate goal is to reinvigorate social sciences in a digital age so that foundational theories can continue to matter, as we live within and around AI and algorithms. We aim to do so through the release of academic papers, blog posts, conferences, courses, and events centered around the subject of interpretative data science. https://images.squarespace-cdn.com/content/v1/5f07c86a9d9e086fa90dd05a/1596634018552-X56AKY081W7F9Q1K76IR/YunjungPak_SMO.jpg About Us https://images.squarespace-cdn.com/content/v1/5f07c86a9d9e086fa90dd05a/1596632474917-0OBVEUDA7ZPMDM252I8S/2nBfterq.jpg About Us https://images.squarespace-cdn.com/content/v1/5f07c86a9d9e086fa90dd05a/0e8827c0-5219-4667-9f99-226c337ae49b/Headshot2020+NYULibrary+5Years2023.jpg About Us https://images.squarespace-cdn.com/content/v1/5f07c86a9d9e086fa90dd05a/1614642843905-NI2C6LEREP1CIWVAUHBL/joel.jpg About Us https://images.squarespace-cdn.com/content/v1/5f07c86a9d9e086fa90dd05a/1596633003598-FK8X0YDO5HA483QLNEOC/VernGlaser_FinalWebsitePhoto_300dpi_FinalVersion.jpg About Us https://images.squarespace-cdn.com/content/v1/5f07c86a9d9e086fa90dd05a/1596633141225-6KMHSWS9JE517V4HXIZW/ChrisSteele.jpg About Us https://images.squarespace-cdn.com/content/v1/5f07c86a9d9e086fa90dd05a/1596632531710-9IUFYNUIILC71RBFVV0P/Kennedy%252C%2BMark%2B%25281%2529.jpg About Us https://images.squarespace-cdn.com/content/v1/5f07c86a9d9e086fa90dd05a/c2744fb5-f973-4fad-a8fd-ba048951e06a/IMG_5957.jpg About Us https://images.squarespace-cdn.com/content/v1/5f07c86a9d9e086fa90dd05a/1614646851157-MWAFGPLX8SEXNP8BFWVC/UofA_SOB_Headshots_010419_LR-43.jpg About Us https://images.squarespace-cdn.com/content/v1/5f07c86a9d9e086fa90dd05a/1597362822775-ORP6OKSTVN4ZBMNL5BD1/Porac.jpg About Us https://images.squarespace-cdn.com/content/v1/5f07c86a9d9e086fa90dd05a/1596634237147-PFJUDS3B8CDU4K6TP7FA/hovig.jpg About Us - Hovig Tchalian, PhD, MBA, BA Assistant Professor in Entrepreneurship, Peter F. Drucker and Masatoshi Ito Graduate School of Management, Claremont University Hovig Tchalian studies the impact of language and communication processes on organizations and markets. His research focuses especially on framing and sense-making processes as well as language devices such as analogies. When online retailer Amazon was launched in 1994, for example, very few people shopped on the Internet. So Amazon and other retailers compared online shopping to the in-store experience—slowly making people feel comfortable with the idea of browsing, gathering items in a shopping cart, and checking out. https://images.squarespace-cdn.com/content/v1/5f07c86a9d9e086fa90dd05a/1596634831066-F75TG3IXVWY01BSCMS2D/Milo_Shaoqing_Wang.jpg About Us https://images.squarespace-cdn.com/content/v1/5f07c86a9d9e086fa90dd05a/1596633077552-H3W3EMSDBL79J3TPY5VY/0.jpg About Us https://images.squarespace-cdn.com/content/v1/5f07c86a9d9e086fa90dd05a/1596632580848-TLM8WHDY1Y2WHDB0H3SL/Head%252Bshot%252B4.jpg About Us https://images.squarespace-cdn.com/content/v1/5f07c86a9d9e086fa90dd05a/1596633268842-4X3UO2YK3OFW1M64CPPF/dev.jpg About Us https://images.squarespace-cdn.com/content/v1/5f07c86a9d9e086fa90dd05a/1596632448218-ROVX0DJYXFPZJJIVYAGA/Rodrigo_teste_01.jpg About Us https://images.squarespace-cdn.com/content/v1/5f07c86a9d9e086fa90dd05a/1596632551943-I6OVTSYIRQBB3IVGMHZG/Marc-David-Seidel.jpg About Us https://images.squarespace-cdn.com/content/v1/5f07c86a9d9e086fa90dd05a/1597250396373-JSD7FGXC9CE7FY2ALDGT/AOM_Cascadden.jpg About Us https://images.squarespace-cdn.com/content/v1/5f07c86a9d9e086fa90dd05a/1594758458365-85MVVWOAQS1FUHQ1NC2J/ubc-logo-2018-narrowsig-blue-rgb300.png About Us https://images.squarespace-cdn.com/content/v1/5f07c86a9d9e086fa90dd05a/1598199930588-JKXM3N60BN46DUOG3WEU/nyu_long_color.png About Us https://images.squarespace-cdn.com/content/v1/5f07c86a9d9e086fa90dd05a/1595879313545-0IBV10AZUF5TSNDJ87P8/Imperial+College+London About Us https://images.squarespace-cdn.com/content/v1/5f07c86a9d9e086fa90dd05a/1594762547357-0J5C67437T45MIZ3U61T/logo-600-removebg-preview.png About Us https://images.squarespace-cdn.com/content/v1/5f07c86a9d9e086fa90dd05a/1594756793910-J1SDKRKXDP50VNUNQPPF/EUR+stack_01_RGB_2400_colour.png About Us https://images.squarespace-cdn.com/content/v1/5f07c86a9d9e086fa90dd05a/1594840464808-VHB7A535M1511GR41ZQE/UA-COLOUR-png+%283%29.png About Us https://www.interpretivedatascience.com/events daily 0.75 2020-08-22 https://images.squarespace-cdn.com/content/v1/5f07c86a9d9e086fa90dd05a/1598117458067-6JXPR2XRA0THIABNFA9P/Screenshot+at+Aug+22+11-30-38.png Events https://images.squarespace-cdn.com/content/v1/5f07c86a9d9e086fa90dd05a/1597166029907-RX52QUJRIGQWXOQKTA6C/MDSexample.png Events https://images.squarespace-cdn.com/content/v1/5f07c86a9d9e086fa90dd05a/1597164548801-39ZV9SWA7UVKMBTWNUIO/Screen+Shot+2020-08-07+at+10.50.06+AM.png Events https://www.interpretivedatascience.com/home daily 1.0 2020-08-23 https://images.squarespace-cdn.com/content/v1/5f07c86a9d9e086fa90dd05a/1598199192632-CVLXJJDG396BZZD5CD92/image-asset.jpeg Home https://images.squarespace-cdn.com/content/v1/5f07c86a9d9e086fa90dd05a/1598199322025-D3S890BF0X3DN193JF2J/image-asset.jpeg Home https://images.squarespace-cdn.com/content/v1/5f07c86a9d9e086fa90dd05a/1598199074314-Z6TKGATEHFZK4H46MIGZ/image-asset.jpeg Home https://www.interpretivedatascience.com/ideas2022 daily 0.75 2022-05-30