Jeffrey S. Saltz

Publication Activity (10 Years)

Years Active: 1988-2024
Publications (10 Years): 55

Top Topics

Project Management

Top Venues

Proc. ACM Hum. Comput. Interact.

Publications

Jeffrey S. Saltz, Viktoria Stray, Edward Anderson, Alex Sutherland
Introduction to the Minitrack on Agile and Lean: Organizations, Products and Development. HICSS (2024)
Sucheta Lahiri, Jeffrey S. Saltz
AI Project and Deployment Risk: Articulation and Legitimization. HICSS (2024)
Jeffrey V. Nickerson, Aron Lindberg, Stefan Seidel, Jeffrey S. Saltz
Introduction to the Minitrack on AI, Organizing, and Management. HICSS (2024)
Yin Zhang, Dan Wu, Loni Hagen, Il-Yeol Song, Javed Mostafa, Sam Gyun Oh, Theresa D. Anderson, Chirag Shah, Bradley Wade Bishop, Frank Hopfgartner, Kai Eckert, Lisa Federer, Jeffrey S. Saltz
Data science curriculum in the iField. J. Assoc. Inf. Sci. Technol. 74 (6) (2023)
Sucheta Lahiri, Jeffrey S. Saltz
Data Science Failure: A Literature Review. BigData (2023)
Jeffrey S. Saltz, Edward Anderson, Alex Sutherland
Introduction to the Minitrack on Agile and Lean: Organizations, Products and Development. HICSS (2023)
Jeffrey Nickerson, Jeffrey S. Saltz, Stefan Seidel, Aron Lindberg
Introduction to the Minitrack on AI, Organizing, and Management. HICSS (2023)
Akit Kumar, M. S. Lakshmi Devi, Jeffrey S. Saltz
Bridging the Gap in AI-Driven Workflows: The Case for Domain-Specific Generative Bots. BigData (2023)
Sucheta Lahiri, Jeffrey S. Saltz
Evaluating Data Science Project Agility by Exploring Process Frameworks Used by Data Science Teams. HICSS (2023)
Jeffrey S. Saltz
Nine Questions to Evaluate a Data Science Team's Process: Exploring a Big Data Science Team Process Evaluation Framework Via a Delphi Study. Big Data (2022)
Jeffrey S. Saltz, Alex Sutherland, Edward Anderson
Introduction to the Minitrack on Agile and Lean: Organizations, Products and Development. HICSS (2022)
Sucheta Lahiri, Jeffrey S. Saltz
The Risk Management Process for Data Science: Gaps in Current Practices. HICSS (2022)
Jeffrey S. Saltz, Iva Krasteva
Current approaches for executing big data science projects - a systematic literature review. PeerJ Comput. Sci. 8 (2022)
Jasmina Tacheva, Sucheta Lahiri, Jeffrey S. Saltz
Analyzing a Data Science Online Practitioner Community: Trends and Implications for Data Science Project Management. Big Data (2022)
Stefan Seidel, Jeffrey V. Nickerson, Jeffrey S. Saltz, Aron Lindberg
Introduction to the Minitrack on AI, Organizing, and Management. HICSS (2022)
Jeffrey S. Saltz, Alex Sutherland, Nicholas Hotz
Achieving Lean Data Science Agility Via Data Driven Scrum. HICSS (2022)
Stefan Seidel, Aron Lindberg, Jeffrey S. Saltz, Jeffrey V. Nickerson
Introduction to the Minitrack on AI, Organizing, and Management. HICSS (2021)
Kevin Crowston, Jeffrey S. Saltz, Niraj Sitaula, Yatish Hegde
Evaluating MIDST, A System to Support Stigmergic Team Coordination. Proc. ACM Hum. Comput. Interact. 5 (CSCW1) (2021)
Jeffrey S. Saltz, Edward Anderson, Alex Sutherland
Introduction to the Minitrack on Agile and Lean: Organizations, Products and Development. HICSS (2021)
Jeffrey S. Saltz, Alex Sutherland, Thibaut Jombart
Identifying and Addressing 6 Key Questions when Using Data Driven Scrum. IEEE BigData (2021)
Jeffrey S. Saltz
CRISP-DM for Data Science: Strengths, Weaknesses and Potential Next Steps. IEEE BigData (2021)
Alex Sutherland, Jeffrey S. Saltz, Edward Anderson
Introduction to the Minitrack on Agile and Lean: Organizations, Products and Development. HICSS (2020)
Jeffrey S. Saltz, Alex Sutherland
SKI: A New Agile Framework that Supports DevOps, Continuous Delivery, and Lean Hypothesis Testing. HICSS (2020)
Jeffrey S. Saltz, Nicholas Hotz
Identifying the most Common Frameworks Data Science Teams Use to Structure and Coordinate their Projects. IEEE BigData (2020)
Jeffrey S. Saltz, Anna Sidorova, Michael Goul
Introduction to the Minitrack on Artificial Intelligence and Big Data Analytics Management, Governance, and Compliance. HICSS (2020)
Jeffrey S. Saltz, Sucheta Lahiri
The Need for an Enterprise Risk Management Framework for Big Data Science Projects. DATA (2020)
Jeffrey S. Saltz, Ivan Shamshurin
Achieving Agile Big Data Science: The Evolution of a Team's Agile Process Methodology. IEEE BigData (2019)
Jeffrey S. Saltz, Ivan Shamshurin
Exploring the Use of a Kanban Coach for Student Teams. AMCIS (2019)
Sangseok You, Kevin Crowston, Jeffrey S. Saltz, Yatish Hegde
Coordination in OSS 2.0: ANT Approach. HICSS (2019)
Jeffrey S. Saltz, Robert Heckman, Kevin Crowston, Sangseok You, Yatish Hegde
Helping Data Science Students Develop Task Modularity. HICSS (2019)
Kevin Crowston, Jeffrey S. Saltz, Amira Rezgui, Yatish Hegde, Sangseok You
Socio-technical Affordances for Stigmergic Coordination Implemented in MIDST, a Tool for Data-Science Teams. Proc. ACM Hum. Comput. Interact. 3 (CSCW) (2019)
Michael Goul, Zhongju Zhang, Jeffrey S. Saltz
Introduction to the Minitrack on Big Data, Data Science and Analytics Management, Governance and Compliance. HICSS (2019)
Jeffrey S. Saltz, Michael Skirpan, Casey Fiesler, Micha Gorelick, Tom Yeh, Robert Heckman, Neil I. Dewar, Nathan Beard
Integrating Ethics within Machine Learning Courses. ACM Trans. Comput. Educ. 19 (4) (2019)
Jeffrey S. Saltz, Neil I. Dewar
Data science ethical considerations: a systematic literature review and proposed project framework. Ethics Inf. Technol. 21 (3) (2019)
Kevin Crowston, Jeffrey S. Saltz, Amira Rezgui, Yatish Hegde, Sangseok You
MIDST: A System to Support Stigmergic Coordination in Data-Science Teams. CSCW Companion (2019)
Jeffrey S. Saltz, Alex Sutherland
SKI: An Agile Framework for Data Science. IEEE BigData (2019)
Jeffrey S. Saltz
Visualizing Kanban Work: Towards an Individual Contributor View. AMCIS (2019)
Jeffrey S. Saltz, Michael Goul, Frank Armour, Ramesh Sharda
Key Management and Governance Challenges when Executing Data Science / Analytics Projects. AMCIS (2018)
Heng Zhang, Utpal Roy, Jeffrey S. Saltz
Improving Data Science Projects by Enriching Analytical Models with Domain Knowledge. IEEE BigData (2018)
Jeffrey S. Saltz, Frank Armour, Ramesh Sharda
Data Science Roles and the Types of Data Science Programs. Commun. Assoc. Inf. Syst. 43 (2018)
Ivan Shamshurin, Jeffrey S. Saltz
Will Deep Learning Change How Teams Execute Big Data Projects? IEEE BigData (2018)
Jeffrey S. Saltz
A Framework to Explore Ethical Issues When Using Big Data Analytics on the Future Networked Internet of Things. FNSS (2018)
Jeffrey S. Saltz, Neil I. Dewar, Robert Heckman
Key Concepts for a Data Science Ethics Curriculum. SIGCSE (2018)
Jeffrey S. Saltz, Robert Heckman
A Scalable Methodology to Guide Student Teams Executing Computing Projects. ACM Trans. Comput. Educ. 18 (2) (2018)
Jeffrey S. Saltz, Nancy W. Grady
The ambiguity of data science team roles and the need for a data science workforce framework. IEEE BigData (2017)
Jeffrey S. Saltz, Ivan Shamshurin, Kevin Crowston
Comparing Data Science Project Management Methodologies via a Controlled Experiment. HICSS (2017)
Jeffrey S. Saltz, Ivan Shamshurin, Colin Connors
Predicting data science sociotechnical execution challenges by categorizing data science projects. J. Assoc. Inf. Sci. Technol. 68 (12) (2017)
Jeffrey S. Saltz
Acceptance Factors for using a Big Data Capability and Maturity Model. ECIS (2017)
Jeffrey S. Saltz, Robert Heckman, Ivan Shamshurin
Exploring How Different Project Management Methodologies Impact Data Science Students. ECIS (2017)
Jeffrey S. Saltz, Ivan Shamshurin
Does pair programming work in a data science context? An initial case study. IEEE BigData (2017)
Jeffrey S. Saltz, Ivan Shamshurin
Big data team process methodologies: A literature review and the identification of key factors for a project's success. IEEE BigData (2016)
Jeffrey S. Saltz, Ivan Shamshurin, Colin Connors
A Framework for Describing Big Data Projects. BIS (Workshops) (2016)
Jeffrey S. Saltz, Sibel Yilmazel, Özgür Yilmazel
Not all software engineers can become good data engineers. IEEE BigData (2016)
Jeffrey S. Saltz, Ivan Shamshurin
Exploring the process of doing data science via an ethnographic study of a media advertising company. IEEE BigData (2015)
Jeffrey S. Saltz
The need for new processes, methodologies and tools to support big data teams and improve big data project effectiveness. IEEE BigData (2015)
Jeffrey S. Saltz, Jae C. Oh
An open co-op model for global enterprise technology education: integrating the internship and course work. SIGCSE (2012)
Jeffrey S. Saltz, Starr Roxanne Hiltz, Murray Turoff, Katia Passerini
Increasing Participation in Distance Learning Courses. IEEE Internet Comput. 11 (3) (2007)
Jeffrey S. Saltz, Starr Roxanne Hiltz, Murray Turoff
Student social graphs: visualizing a student's online social network. CSCW (2004)
Jeffrey S. Saltz, Starr Roxanne Hiltz, Murray Turoff, Katia Passerini
Measuring Student Participation in a Web-based Environment: A Framework for Developing New Tools. AMCIS (2004)
Hikmet Senay, Jeffrey S. Saltz
Dynamic visualization of hierarchical data. Human Vision and Electronic Imaging (1997)
William H. Clifford Jr., John I. McConnell, Jeffrey S. Saltz
The Development of PHEX, a 3D Graphics Extension to X11. Eurographics (1988)