March 2023 - Members - lists.sigcis.org

Adjunct Instructors for Computer History Class at RIT
by Corinna Schlombs 07 Mar '23

07 Mar '23

Dear SIGCIS members, My department seeks adjunct instructors for computer history classes in the fall. Please feel free to circulate the ad (below and attached) to anyone interested; I am also happy to answer any questions. Best, and thanks so much, Corinna. Corinna Schlombs she/her/hers Associate Professor of History Rochester Institute of Technology The History Department at Rochester Institute of Technology seeks to hire one or two adjunct instructors for fall 2023-2024 to teach two double sections of HIST 180 Information Revolution (see course description below). The sections may be taught in person or online synchronous. A double section at RIT is capped at 80 students and counts for two classes. This means that adjunct instructors for double sections are paid twice the regular class rate per double section. Qualified candidates should at their earliest convenience send their CV to the History Department Chair Tamar Carroll (twcgsh(a)rit.edu<mailto:twcgsh@rit.edu>) and Corinna Schlombs (cxsgla(a)rit.edu<mailto:cxsgla@rit.edu>) and indicate whether they are available to teach one or two double sections. We are also happy to answer any questions regarding this opportunity. HIST 180 Information Revolution Course Description: Social media and smart technologies seem to have revolutionized our society, changing how we learn about new things, relate to each other, and understand ourselves. This course investigates the history of information and communication technologies to cast new light on these developments. We will ask how people formed political opinions, what moral concerns new information and communication technologies raised, and how technologies changed the lives of the people using them. This course helps you understand the social, cultural and ethical implications of “revolutionary” information and communication technologies. This course is a General Education Elective and it meets the requirements of the Ethical and Social Perspective Categories. It also serves as equivalent of DHSS 102 Industrial Origins of the Digital Age.

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HICSS-57 Big Data and Analytics Minitrack CFP
by STEPHEN KAISLER 06 Mar '23

06 Mar '23

Dear Members: Here is the CFP for our minitrack - on behalf of myself, Frank Arnour, Alberto Espinosa, and Derrick Cogburn. Call For Papers HICSS-57 Decision Analytics and Service Systems Minitrack http://www.hicss.org/. January 3-6, 2024 Hilton Hawaian Village, Honolulu, Oahu, Hawai’i Title: Big Data and Analytics: Pathways to Maturity “The first and original Big Data minitrack at HICSS” Co-Chairs: Stephen H. Kaisler; Frank Armour; J. Alberto Espinosa; Derrick L. Cogburn NEWS!! Derrick Cogburn’s Text Analytics Minitrack has merged with the Big Data and Analytics Minitrack. This merger brings with it the opportunity for accepted papers to be considered for the HICSS Fast Track journal Data & Policy, published by Cambridge University Press. We have also added new topics of explainability and bias in analytics to our CFP. NEWS!! HICSS is the most cited conference for academic citations! NEWS!! Long-awaited return to the island of Oahu, Hawai’i. This minitrack focuses on the use of big data and analytics to enable businesses and organizations to optimize their operational practices, improve their decision-making, and better understand and provide more effective services to their customers and clients. We seek papers in all areas of big data and analytics, including storage, management, education, usage case studies, innovative applications, and enabling technology. Relevant papers on the development of strategy for deploying big data and analytics in distributed organizations, the effects of big data and analytics on organizational behavior, the governance and management of big data, the evaluation of Big Data’s contribution to business operations, the development of big data analytics are sought. Papers are sought on developing an analytic cadre, including curriculum concepts, skills and training, and metrics and measurement. In our book titled: “Obtaining Value from Big Data for Service Delivery, 2nd Edition” we presented a knowledge framework to serve as a basis for grounding Big Data and Business Analytics curricula. The framework is composed of key knowledge layers, including: basic foundations (e.g., mathematics, statistics, software programming, big data architectures); analytics/big data (e.g., descriptive, predictive, prescriptive and visual analytics); functional domain of analysis (e.g., marketing, healthcare, accounting forensics, etc.); and managerial, strategic and organizational aspects (e.g., data governance, security, privacy, human resource management, metrics for the business value of big data and analytics investments, etc.). To advance knowledge in big data and analytics, we must develop active research agendas in all four layers. We seek research papers on any of these four layers and also those that address the structure and evaluation of curriculum design, implementation and evaluation for big data and analytics. Papers are solicited in several areas, including, but not limited to the following: * Managerial, governance, lifecycle, strategic and organizational aspects of big data and analytics, big data repositories and projects, including data governance * Graph analytics – both syntactic and semantic – that play a big role in the exploitation of social media data * Advanced analytics emphasizing specific functional domains – business, scientific, and social science, visual analytics and non-numeric analysis models and their implementation * Advances in technology – processing, storage, analytics – for the Exabyte/ExaFLOP Age * Scalable semantic annotation and reasoning across big data stores * Metrics to assess the impact of big data in business, scientific, and government decision-making. * Educational and body of knowledge frameworks on big data, analytics and data science. * Enhanced explainability in analytics (particularly AI/ML) relative to results and the detection and mitigation of bias and variance in analytics. * Text analytics approaches in quantitative and qualitative techniques in natural language processing. * Supervised and Unsupervised machine learning approaches in text analytics. Papers presenting case studies, infrastructure and technology advances, theoretical perspectives and emerging concepts at the petascale and beyond, are also sought. A fast track publishing opportunity ahs been arranged with the Data and Policy journal. We are exploring other opportunities as well. An expanded CfP is available from Steve Kaisler. We especially encourage graduate students to submit papers as well. If you wish to discuss a paper concept before submitting a paper, please contact Steve Kaisler or Frank Armour. If you wish to discuss a paper concept on text analytics before submitting, please contact Derrick Cogburn. Text Analytics researchers may also wish to participate in the linked afternoon workshop on Advanced Text Analytics and HICSS Textathon. We will be happy to discuss your paper concept with you. Kindly, Minitrack Co-Chairs: Stephen H. Kaisler, D.Sc. (Skaisler1(a)comcast.net mailto:Skaisler1@comcast.net ), SHK & Associates (primary) Frank Armour, Ph.D. (farmour(a)american.edu mailto:farmour@american.edu ), Kogod School of Business, American University Alberto Espinosa, Ph.D. (alberto(a)american.edu mailto:alberto@american.edu ), Kogod School of Business, American University Derrick L. Cogburn, Ph.D. (dcogburn(a)american.edu mailto:dcogburn@american.edu ), School of International Service and Kogod School of Business, American University

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Call for papers: Critical and Ethical Studies of Digital and Social Media minitrack of HICSS 57
by Amelia Acker 05 Mar '23

05 Mar '23

Along with my colleagues Britt Paris and Nicholas Proferes, I invite you to submit to the HICSS 57 Digital Social Media minitrack panel on Critical and Ethical Studies of Digital and Social Media. https://hicss.hawaii.edu/tracks-57/digital-and-social-media/#critical-and-e… The minitrack focuses on two themes: a) research that critically interrogates how and when digital and social media reify or challenge existing power structures, and b) research that addresses applied ethical issues associated with doing research on digital and social media. The minitrack seeks both conceptual and empirical approaches to these two themes; early results and innovative methods are welcome. Potential paper topics could explore (but are not limited to) the following themes: ● studies of the values and worldviews embedded within specific hardware and software technologies; ● studies that explore the social responses to platforms from a critical or ethics-based perspective; ● studies that look at the political economies or labor conditions of digital content creation, digital work, and the consequences of sharing economy platforms; ● studies that explore the political community and civic participation in digital spaces; ● studies of the perpetuation of gender, race, ethno-nationalist, and faith-based hostility and bullying found in a range of online environments; ● studies that examine digital power relations between individuals, collectives, and societal institutions; ● case studies that grapple with the challenges and opportunities of unequal data access among actors, including users, researchers, and journalists; ● studies that explore the situated ethics of social media research in different organization contexts; ● studies of the environmental impact that digital and social media researchers have on the planet; ● studies that mobilize non-traditional or experimental research methods developed for the specificities of digital and social media; ● studies that explore issues around the intersections between ethics and privacy, such as quantitative, qualitative, and computational studies on digital and social media privacy ● studies that explore the privacy behavior of users and the mitigation of sensitive and private information on digital and social media platforms, or novel privacy solutions using explainable AI, transparent ML algorithms, or any interdisciplinary methods. We welcome all researchers to submit, and particularly encourage research contributions from graduate students, early career researchers, as well as collaborative teams. If you have questions about whether your research would be an acceptable contribution to this CFP, or to learn more about the HICSS conference, please reach out to Nicholas at nicholas.proferes(a)asu.edu Minitrack Co-Chairs: Nicholas Proferes Arizona State University nicholas.proferes(a)asu.edu Britt Paris Rutgers, the State University of New Jersey britt.paris(a)rutgers.edu Amelia Acker University of Texas at Austin aacker(a)ischool.utexas.edu -- Amelia Acker, Associate Professor Director, Critical Data Studies Lab Humanities Institute Faculty Fellow The University of Texas at Austin | School of Information http://www.ameliaacker.com/

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Re: [SIGCIS-Members] Good news! Re: History courses in CS departments
by Marc Weber 02 Mar '23

02 Mar '23

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GAO reports as a tool; IRS modernization
by Jonathan Coopersmith 01 Mar '23

01 Mar '23

Worth a look: https://www.gao.gov/products/gao-23-104719# the challenges of big system updating (it's not just Southwest Airlines) Stay sane, Jonathan Jonathan Coopersmith Fellow, American Association for the Advancement of Science Professor (retired) Department of History Texas A&M University College Station, TX 77843-4236 979.739.4708 (cell) 979.862.4314 (fax) It's taking longer to vote - especially if you are Black or Hispanic <https://theconversation.com/its-taking-more-time-to-cast-a-ballot-in-us-ele…>, theconversation.com October 13, 2022 “The thought leader’s thought leader,” (interview with Norman Augustine) <https://aerospaceamerica.aiaa.org/departments/the-thought-leaders-thought-l….> *Aerospace America* October 2022. Preserving space archives: https://www.toboldlypreserve.space/ *FAXED. The Rise and Fall of the Fax Machine* (Johns Hopkins University Press)

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