Multinational perspectives on information technology from academia and industry

As the term \u27information technology\u27 has many meanings for various stakeholders and continues to evolve, this work presents a comprehensive approach for developing curriculum guidelines for rigorous, high quality, bachelor\u27s degree programs in information technology (IT) to prepare successful graduates for a future global technological society. The aim is to address three research questions in the context of IT concerning (1) the educational frameworks relevant for academics and students of IT, (2) the pathways into IT programs, and (3) graduates\u27 preparation for meeting future technologies. The analysis of current trends comes from survey data of IT faculty members and professional IT industry leaders. With these analyses, the IT Model Curricula of CC2005, IT2008, IT2017, extensive literature review, and the multinational insights of the authors into the status of IT, this paper presents a comprehensive overview and discussion of future directions of global IT education toward 2025

Report of the 2014 NSF Cybersecurity Summit for Large Facilities and Cyberinfrastructure

This event was supported in part by the National Science Foundation under Grant Number 1234408. Any opinions, findings, and conclusions or recommendations expressed at the event or in this report are those of the authors and do not necessarily reflect the views of the National Science Foundation

Alumni Perceptions of Cybersecurity Employment Preparation Using the NICE Framework

The cybersecurity workforce suffers from an ongoing talent shortage and a lack of information correlating cybersecurity education programs to alumni employment outcomes. This cross-sectional study evaluated the post-graduation employment outcomes of alumni who attended two-year colleges designated by the National Security Agency (NSA) as Centers of Academic Excellence in Cyber Defense (CAE-CD). Stakeholders of this project were identified as government agencies, the NSA, employers, faculty, students, and organizations that rely on cybersecurity talent to keep their systems secure from cyberattacks. This study used the explanatory sequential mixed methods approach to compare perceptions of the intended Program of Study work roles to alumni employment outcomes using the NICE Framework work roles. This multi-phased, nested sample study included CAE-CD designated Points of Contact (POCs) at two-year colleges and their alumni. The first phase included a call for participation requesting POCs to provide academic program information via online survey and to contact their cybersecurity program alumni with a link to an online survey. The second phase of the study included an online survey requesting that the alumni provide data about their work experience, academic program information, industry-recognized certification achieved, and any co/extra-curricular participation. Overall, the demographics of the alumni sample were more diverse than those of the U.S. cybersecurity workforce and the alumni noted that their two-year academic programs were important to the preparation for their current job. Of the alumni who reported they were currently employed, approximately 80% held technology-related positions. Recommendations are made for the use of the resulting knowledge by cybersecurity stakeholders to better understand the employment outcomes of two-year college alumni from CAE-CD cybersecurity programs

How the AIS can Improve its Contributions to the UN’s Sustainability Development Goals: Towards A Framework for Scaling Collaborations and Evaluating Impact

In June, 2019, the Association for Information Systems (AIS) adopted a new approach to addressing global sustainability issues by establishing the AIS Sustainability Task Force (AIS STF). This initiative focuses on building on the outcomes from the United Nations (UN) Millennium Development Goals (MDG, 2000-2015) and applying them to address the challenges associated with the UN Sustainable Development Goals (SDG, 2016-2030). In this paper, we review the challenges and outcomes from the UN sustainability programs with their potential relevance to IS in general and the AIS in particular to inform and assist increased efforts to achieve the global sustainability goals. The initial event, the AIS Sustainability Summit held at ICIS 2019, provided a forum for AIS groups and communities to share their current interests, plans, activities, and experiences relevant to the MDG and SDG. The event primarily focused on facilitating opportunities to scale the AIS’s sustainability activities through multi-disciplinary collaboration across the AIS and its communities. Members from four AIS special interest groups and the STF’s Education Workgroup presented exemplary projects at the summit that demonstrated how one can apply applied IS and research capabilities to address sustainability challenges. The sustainability summit’s also explored opportunities to achieve positive impact in addressing the SDG’s global challenges through applying AIS members’ knowledge, skills, and capabilities in relevant ways in collaboration with suitable organizations outside the AIS. Potential organizations include business, government, societal groups, and UN bodies. We presented and discussed the AIS STF’s aims, plans, outcomes, and impact. By analyzing details and options for cross-organizational collaboration, the representatives of organizations at the sustainability summit developed a proposed framework for scaling contributions and evaluating impact. Finally, they drew conclusions about the proposed activities, approaches, and framework for the AIS to improve the scope and scale of its contributions in addressing the SDG. Critically, the AIS needs to ensure that its proposed activities, contributions, and impact are examined by an internationally recognized independent process. We propose a model for the AIS to realize this requirement for evaluation in 2021

January 1 - December 31, 2012

This report summarizes training, education, and outreach activities for calendar 2012 of PTI and affiliated organizations, including the School of Informatics and Computing, Office of the Vice President for Information Technology, and Maurer School of Law. Reported activities include those led by PTI Research Centers (Center for Applied Cybersecurity Research, Center for Research in Extreme Scale Technologies, Data to Insight Center, Digital Science Center) and Service and Cyberinfrastructure Centers (Research Technologies Division of University Information Technology Services, National Center for Genome Assembly Support

Identification of metrics used by decision makers to determine the efficacy of wireless communication systems in higher education

This research described the wireless network technologies that are available for use in higher education, determined the categories of metrics used to evaluate wireless network efficacy, and yielded a self-assessment instrument for guiding small college administrators considering wireless local area network systems.;The features and benefits of contemporary wireless systems in higher education were identified through a review of the professional journals, government publications, and standards industry documentation. The literature identified three categories of metrics beneficial for the evaluation of efficacy of wireless campus local area networks: cost, speed, and reliability. After identification of these categories of metrics, a modified Delphi technique was administered to ten wireless network experts in higher education. The expert group was made up of seven higher education wireless decision makers and three wireless industry professionals.;The wireless experts responded to Instrument One which identified 27 metrics in the three categories of metrics. The experts generated 19 essential metrics: four in the category of cost, seven in the category of speed, and eight in the category of reliability. Eight supplemental metrics were also identified in Instrument One: four in the category of cost, two in the category of speed, and two in the category of reliability.;Instrument Two generated 27 questions that could guide wireless decision makers in higher education. These metrics offer a timeless guide to wireless system planning on small college campuses. The self-assessment instrument will assist in gathering information specific to the small college environment, and in gathering current specifications for wireless network systems. The analysis of information gained from the use of this tool will help wireless campus networks to operate as an integrated part of teaching and learning

STEM Community Chairs Progress Updates Spring 2016

The following is a brief update of the activities and efforts being undertaken by UNO’s Dr. George and Sally Haddix Community Chair of STEM Education as being held by Dr. Neal Grandgenett. The goal of this position is: Position Goal: To organize, lead and inspire collaborative STEM initiatives at UNO, that cross colleges and disciplines, and that aggressively position UNO to be a true national leader in interdisciplinary STEM programs. (Curriculum, Capacity, Collaboration

Keeping Data Science Broad: Negotiating the Digital and Data Divide Among Higher Education Institutions

The goal of the “Keeping Data Science Broad” series of webinars and workshops was to garner community input into pathways for keeping data science education broadly inclusive across sectors, institutions, and populations. Input was collected from data science programs across the nation, either traditional or alternative, and from a range of institution types including community colleges, minority-led and minority-serving institutions, liberal arts colleges, tribal colleges, universities, and industry partners. The series consisted of two webinars (August 2017 and September 2017) leading up to a workshop (November 2017) exploring the future of data science education and workforce at institutions of higher learning that are primarily teaching-focused. A third follow-up webinar was held after the workshop (January 2018) to report on outcomes and next steps. Program committee members were chosen to represent a broad spectrum of communities with a diversity of geography (West, Northeast, Midwest, and South), discipline (Computer Science, Math, Statistics, and Domains), as well as institution type (Historically Black Colleges and Universities (HBCU’s), Hispanic-Serving Institutions (HSI’s), other Minority-Serving Institutions (MSI\u27s), Community College\u27s (CC’s), 4-year colleges, Tribal Colleges, R1 Universities, Government and Industry Partners)

Keeping Data Science Broad: Negotiating the Digital and Data Divide Among Higher Education Institutions

The goal of the “Keeping Data Science Broad” series of webinars and workshops was to garner community input into pathways for keeping data science education broadly inclusive across sectors, institutions, and populations. Input was collected from data science programs across the nation, either traditional or alternative, and from a range of institution types including community colleges, minority-led and minority-serving institutions, liberal arts colleges, tribal colleges, universities, and industry partners. The series consisted of two webinars (August 2017 and September 2017) leading up to a workshop (November 2017) exploring the future of data science education and workforce at institutions of higher learning that are primarily teaching-focused. A third follow-up webinar was held after the workshop (January 2018) to report on outcomes and next steps. Program committee members were chosen to represent a broad spectrum of communities with a diversity of geography (West, Northeast, Midwest, and South), discipline (Computer Science, Math, Statistics, and Domains), as well as institution type (Historically Black Colleges and Universities (HBCU’s), Hispanic-Serving Institutions (HSI’s), other Minority-Serving Institutions (MSI\u27s), Community College\u27s (CC’s), 4-year colleges, Tribal Colleges, R1 Universities, Government and Industry Partners)

Widening the Pipeline: Identifying Practices and Structures That Effectively Recruit and Retain African-American Females in Undergraduate Computer Science Programs at Historically Black Colleges and Universities

The underrepresentation of women and women of color in the disciplines of science, technology, engineering, and mathematics (STEM) is of little surprise to those of us who have kept abreast of the statistical data supporting this phenomenon. In order for the United States (U.S.) to remain “economically and globally competitive” (Ong, 2011, p. 32), it needs to increase its “advanced domestic science and technology workforce” (Ong, 2011, p.32). Perhaps, it is not a coincidence that the majority of students attending U.S. colleges are female, and the number of minority students entering college is on the rise. However, when one looks at the number of women of color entering college and the number of whom are pursuing a STEM degree, there is a significant decrease. Furthermore, the pipeline is even narrower for women pursuing computer science (CS) degrees. This exploratory qualitative study was focused on one historically Black university located in the southeast region of the U.S. This study utilized a grounded theory qualitative inquiry approach to identify practices and strategies utilized by the historically Black colleges and universities (HBCU) to effectively recruit and retain undergraduate African-American women in its CS program. The findings suggest the importance of K-12 experiences, supportive relationships among students and faculty, industry partnerships, and relevant and challenging experiences