@article {2024, title = {Artificial Intelligence and the Future of Citizen Science}, journal = {Citizen Science: Theory and Practice}, volume = {9}, year = {2024}, month = {11/2024}, pages = {32}, doi = {10.5334/cstp.812}, author = {Fortson, Lucy and Crowston, Kevin and Kloetzer, Laure and Ponti, Marisa} } @proceedings {petridis2023anglekindling, title = {AngleKindling: Supporting Journalistic Angle Ideation with Large Language Models}, year = {2023}, doi = {10.1145/3544548.3580907}, url = {https://savvaspetridis.github.io/papers/anglekindling.pdf}, author = {Petridis, Savvas and Diakopoulos, Nicholas and Crowston, Kevin and Hansen, Mark and Henderson, Keren and Jastrzebski, Stan and Nickerson, Jefrey V and Chilton, Lydia B} } @article {9998, title = {Artificial intelligence in information systems: State of the art and research roadmap}, journal = {Communications of the Association for Information Systems (CAIS)}, volume = {50}, year = {2022}, abstract = {

Many would argue that artificial intelligence (AI) is not just a technology but represents a paradigmatic shift in the relationship between humans and machines. Much of the literature assumes that AI-powered practices are substantially different and profoundly changes organizational structures, communication, affordances, and ecosystems. However, research in AI is often fragmented and lacks clarity. While the Information Systems (IS) field can play a pivotal role in the emergence and use of AI, there is a need for a clear direction that specifies how IS can contribute and what are to be the key research themes and questions. This paper draws on a PDW at ICIS 2020 and the discussions that followed. It summarizes and synthesizes five decades of the impact of AI on organizational practices, providing views from various perspectives. It identifies weaknesses in the current AI literature as measured against conceptual clarity, theoretical glue, cumulative tradition, parsimony, and applicability. The paper concludes by identifying direct actions that the IS research community can undertake to address these issues. The final contribution is a next-step research agenda to guide AI research in the coming years.

}, doi = {10.17705/1CAIS.05017}, attachments = {https://crowston.syr.edu/sites/crowston.syr.edu/files/Artificial\%20Intelligence\%20in\%20Information\%20Systems\%20State\%20of\%20the\%20Art.pdf}, author = {P{\"a}r J. {\r A}gerfalk and Kieran Conboy and Kevin Crowston and Sirkka L. Jarvenpaa and Jenny Eriksson Lundstr{\"o}m and Patrick Mikalef and Sudha Ram} } @article {9998, title = {Assessment, Usability, and Sociocultural Impacts of DataONE: A Global Research Data Cyberinfrastructure Initiative}, journal = {International Journal of Digital Curation}, volume = {16}, year = {2021}, month = {04/2021}, abstract = {

DataONE, funded from 2009-2019 by the U.S. National Science Foundation, is an early example of a large-scale project that built both a cyberinfrastructure and culture of data discovery, sharing, and reuse. DataONE used a Working Group model, where a diverse group of participants collaborated on targeted research and development activities to achieve broader project goals. This article summarizes the work carried out by two of DataONE{\textquoteright}s working groups: Usability \& Assessment (2009-2019) and Sociocultural Issues (2009-2014). The activities of these working groups provide a unique longitudinal look at how scientists, librarians, and other key stakeholders engaged in convergence research to identify and analyze practices around research data management through the development of boundary objects, an iterative assessment program, and reflection. Members of the working groups disseminated their findings widely in papers, presentations, and datasets, reaching international audiences through publications in 25 different journals and presentations to over 5,000 people at interdisciplinary venues. The working groups helped inform the DataONE cyberinfrastructure and influenced the evolving data management landscape. By studying working groups over time, the paper also presents lessons learned about the working group model for global large-scale projects that bring together participants from multiple disciplines and communities in convergence research.

}, doi = {10.2218/ijdc.v16i1.678 }, author = {Robert J. Sandusky and Suzie Allard and Lynn Baird and Leah Cannon and Kevin Crowston and Amy Forrester and Bruce Grant and Rachael Hu and Robert Olendorf and Danielle Pollock and Alison Specht and Carol Tenopir and Rachel Volentine} } @conference {2020, title = {Algorithmic Journalism and Its Impacts on Work}, booktitle = {Computation + Journalism Symposium }, year = {2020}, edition = {(cancelled due to COVID; presented in 2021)}, abstract = {

In the artificial intelligence era, algorithmic journalists can produce news reports in natural language from structured data thanks to natural language generation (NLG) algorithms. This paper presents several algorithmic content generation models and discusses the impacts of algorithmic journalism on work within a framework consisting of three levels: replacing tasks of journalists, increasing efficiency, and developing new capabilities within journalism. The findings indicate that algorithmic journalism technology may lead some changes in journalism by enabling individual users to produce their own stories. This paper may contribute to an understanding of how algorithmic news is created and how algorithmic journalism technology impacts work.

}, url = {https://cpb-us-w2.wpmucdn.com/express.northeastern.edu/dist/d/53/files/2020/02/CJ_2020_paper_26.pdf}, attachments = {https://crowston.syr.edu/sites/crowston.syr.edu/files/CJ_2020_paper_26.pdf}, author = {Ayse Dalgali and Kevin Crowston} } @article {9999, title = {Appealing to different motivations in a message to recruit citizen scientists: results of a field experiment}, journal = {Journal of Science Communication}, volume = {17}, year = {2018}, chapter = {A02}, abstract = {

This study examines the relative efficacy of citizen science recruitment messages appealing to four motivations that were derived from previous research on motives for participation in citizen-science projects. We report on an experiment (N=36,513) that compared the response to email messages designed to appeal to these four motives for participation. We found that the messages appealing to the possibility of contributing to science and learning about science attracted more attention than did one about helping scientists but that one about helping scientists generated more initial contributions. Overall, the message about contributing to science resulted in the largest volume of contributions and joining a community, the lowest. The results should be informative to those managing citizen-science projects.

}, keywords = {Citizen Science}, doi = {10.22323/2.17010202}, url = {https://jcom.sissa.it/archive/17/01/JCOM_1701_2018_A02}, attachments = {https://crowston.syr.edu/sites/crowston.syr.edu/files/JCOM_1701_2018_A02.pdf}, author = {Lee, Tae Kyoung and Kevin Crowston and Mahboobeh Harandi and Carsten {\O}sterlund and Grant Miller} } @article {9999, title = {Attitudes and norms affecting scientists{\textquoteright} data reuse}, journal = {PLoS ONE}, volume = {12}, year = {2017}, chapter = {e0189288}, abstract = {The value of sharing data comes partly from the data{\textquoteright}s being reused by other scientists, but questions regarding attitudes and norms that predict scientists{\textquoteright} data reuse remain open. We test the relationship between scientists{\textquoteright} beliefs and attitudes towards data reuse and their self-reported data reuse behaviour using responses to selected questions from a worldwide survey developed and administered by the DataONE Usability and Assessment Working Group. The data suggest first that data sharing and data reuse are largely separate phenomena. Second, the perceived efficacy of data reuse for answering research questions was found to be one of the strongest predictors of reuse behaviour. On the other hand, expressed lack of trust in reused data and perceived norms against data reuse did not seem to deter respondents from reuse. Finally, reported use of models and remote-sensed data was associated with more reuse. The results suggest that data reuse would be encouraged by demonstrations of the value and addressing norms about this practice. }, doi = {10.1371/journal.pone.0189288}, attachments = {https://crowston.syr.edu/sites/crowston.syr.edu/files/PONE\%20to\%20share.pdf}, author = {Renata G. Curty and Kevin Crowston and Alison Specht and Bruce Grant and Elizabeth D. Walton} } @article {9998, title = {Alignment in an inter-organisational network: the case of ARC transistance}, journal = {European Journal of Information Systems}, volume = {25}, year = {2016}, pages = {553{\textendash}568}, abstract = {We consider the processes of achieving alignment in coordinated inter-organizational networks through a case study of a system development project in ARC Transistance, a network of European automobile clubs that cooperate to provide pan-European service. The theoretical contribution of the paper is, first, an extended strategic alignment model for inter-organizational networks that distinguishes between integration of IS with business strategy and infrastructure, and what we label {\textquoteleft}accordance{\textquoteright} between the strategies and infrastructures of the network and the member firms. Second, we propose that for a network organization, network and member strategies might be complementary as well as tightly coupled. We similarly argue that IS architectures for networks should strive for being {\textquoteleft}business strategy-neutral{\textquoteright} to more easily accommodate the diversity of members. Finally, we discuss how the process of developing a network information system can be a driver towards network alignment, but how the lack of effective governance structures makes alignment harder to achieve.}, issn = {1476-9344}, doi = {10.1057/ejis.2016.9}, url = {http://rdcu.be/nvvw}, author = {Bernhard Katzy and Sung, Gordon and Kevin Crowston} } @article {9998, title = {Assessing IS research impact}, journal = {Communications of the Association for Information Systems}, volume = {36}, year = {2015}, chapter = {Article 7}, abstract = {

Based on the International Conference on Information Systems{\textquoteright} (ICIS) 2013 senior scholars{\textquoteright} forum, this paper shares insights on IS research impact assessment. We define research impact as conducting research that makes a difference to individuals, businesses, industries and societies. While assessment groups like AACSB (the Association to Advance Collegiate Schools of Business) want scholars to make an impact, sometimes they operationalize impact in ways that may encourage scholars to pursue research goals tangential to making a difference. The purpose of this paper is to stimulate thinking in the IS community on creating research assessment techniques that encourage our scholars to make a difference.

}, doi = {10.17705/1CAIS.03607}, author = {Niederman, Fred and Kevin Crowston and Koch, Hope and Krcmar, Helmut and Powell, Philip and E. Burton Swanson} } @proceedings {crowston2012, title = {Amazon Mechanical Turk: A research tool for organizations and information systems scholars}, volume = {389}, year = {2012}, month = {12/2012}, pages = {210-221}, publisher = {Springer}, address = {Tampa, FL}, isbn = {978-3-642-35141-9}, issn = {1868-4238}, doi = {10.1007/978-3-642-35141-9}, attachments = {https://crowston.syr.edu/sites/crowston.syr.edu/files/3890210.pdf}, author = {Kevin Crowston}, editor = {Anol Bhattacherjee and Brian Fitzgerald} } @proceedings {2010, title = {Analyzing Leadership Dynamics in Distributed Group Communication}, year = {2010}, address = {Kauai, HI, 5{\textendash}8 January}, abstract = {We apply social network analysis (SNA) to examine the dynamics of leadership in distributed groups, specifically Free/Libre Open Source Software development projects, and its relation to group performance. Based on prior work on leadership in distributed groups, we identify leaders with those who make the highest level of contribution to the group and assess the degree of leadership by measuring centralization of communications. We compare the dynamics of leadership in two FLOSS projects, one more and one less effective. We find that in both projects, centralization was higher in developer-oriented communications venues than in user-oriented venues, suggesting higher degrees of leadership in developer venues. However, we do not find a consistent relation between centralization and effectiveness. We suggest that SNA can instead be useful for identifying interesting periods in the history of the project, e.g., periods where the leadership of the project is in transition.}, keywords = {FLOSS, Leadership}, issn = {0361-1434 }, doi = {10.1109/HICSS.2010.62}, attachments = {https://crowston.syr.edu/sites/crowston.syr.edu/files/07-06-02.pdf}, author = {Kevin Crowston and Wiggins, Andrea and James Howison} } @article {Li:2008a, title = {Asynchronous Decision-Making in Distributed Teams (Poster)}, year = {2008}, month = {8{\textendash}12 November}, address = {San Diego, CA}, keywords = {Decision-Making, FLOSS}, attachments = {https://crowston.syr.edu/sites/crowston.syr.edu/files/CSCW2008Poster11x17Draft.pdf}, author = {Li, Qing and Heckman, Robert and Allen, Eileen E. and Kevin Crowston and Eseryel, U. Yeliz and James Howison and Wiggins, Andrea} } @article {Crowston:2006d, title = {Assessing the health of open source communities}, journal = {IEEE Computer}, volume = {39}, number = {5}, year = {2006}, month = {May}, pages = {89-91}, abstract = {An invited column that discusses what a healthy FLOSS community looks like, and how one ought to go about assessing it (particularly in the context of software specification).}, doi = {10.1109/MC.2006.152}, attachments = {https://crowston.syr.edu/sites/crowston.syr.edu/files/HealthOfAFlossCommunity.pdf}, author = {Kevin Crowston and James Howison} } @article {2006, title = {Audio of ICIS 2006 Presentation}, year = {2006}, note = {Audio of Kevin, Yeliz and Qing presenting our paper at ICIS 2006. The audio is ok, but next time I{\textquoteright}m definitely going to put the recorder nearer the speakers!}, keywords = {FLOSS}, attachments = {https://crowston.syr.edu/sites/crowston.syr.edu/files/ICIS-2006-Kevin-Yeliz-Qing-fixed.mp3}, author = {Kevin Crowston and Eseryel, U. Yeliz and Li, Qing} } @article {Crowston:1996a, title = {An approach to evolving novel organizational forms}, journal = {Computational and Mathematical Organization Theory}, volume = {2}, number = {1}, year = {1996}, pages = {29{\textendash}47}, publisher = {Springer}, abstract = {A key problem in organization theory is to suggest new organizational forms. In this paper, I suggest the use of genetic algorithms to search for novel organizational forms by reproducing some of the mechanics of organizational evolution. Issues in using genetic algorithms include identification of the unit of selection, development of a representation and determination of a method for calculating organizational fitness. As an example of the approach, I test a proposition of Thompson{\textquoteright}s about how interdependent positions should be assigned to groups. Representing an organization as a collection of routines might be more general and still amenable to evolution with a genetic algorithm. I conclude by discussing possible objections to the application of this technique.}, keywords = {Coordination}, issn = {1381-298X (Print) 1572-9346 (Online)}, doi = {10.1007/BF00125762}, attachments = {https://crowston.syr.edu/sites/crowston.syr.edu/files/evol\%20struct\%20rewrite\%202.pdf}, author = {Kevin Crowston} } @proceedings {Crowston:1986, title = {Assessing the impact of information technology on enterprise level performance}, year = {1986}, pages = {299{\textendash}310}, address = {Indianapolis, IN}, abstract = {Implicit in most of what we do in MIS is the belief that information technology (IT) has an impact on the bottom line of the business. Surprisingly, we rarely know if this is true. It is very difficult to trace and measure the effects of information technology through a web of intermediate impacts upon enterprise level performance. In this paper, we review research that has been performed on enterprise level impacts of information systems, with a particular emphasis on research that has attempted to measure those impacts. We begin with a survey of articles published within the last ten years. This is followed by a discussion of the reference disciplines that underlie most of this work. From this we are able to draw conclusions about future directions for research in this area.}, keywords = {Information Technology, Organization}, attachments = {https://crowston.syr.edu/sites/crowston.syr.edu/files/icis86.pdf}, author = {Kevin Crowston and Treacy, Michael E.} }