Jeffrey S. Saltz

Proceedings of the 57th Hawaii International Conference on System Sciences, 2024

2023

Data science curriculum in the iField.

[BibT_eX]

[DOI]

J. Assoc. Inf. Sci. Technol., June, 2023

Evaluating Data Science Project Agility by Exploring Process Frameworks Used by Data Science Teams.

[BibT_eX]

[DOI]

Proceedings of the 56th Hawaii International Conference on System Sciences, 2023

Data Science Failure: A Literature Review.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Data, 2023

Bridging the Gap in AI-Driven Workflows: The Case for Domain-Specific Generative Bots.

[BibT_eX]

[DOI]

Akit Kumar

M. S. Lakshmi Devi

Proceedings of the IEEE International Conference on Big Data, 2023

2022

Current approaches for executing big data science projects - a systematic literature review.

[BibT_eX]

[DOI]

Iva Krasteva

PeerJ Comput. Sci., 2022

Achieving Lean Data Science Agility Via Data Driven Scrum.

[BibT_eX]

[DOI]

Nicholas Hotz

Proceedings of the 55th Hawaii International Conference on System Sciences, 2022

The Risk Management Process for Data Science: Gaps in Current Practices.

[BibT_eX]

[DOI]

Proceedings of the 55th Hawaii International Conference on System Sciences, 2022

Analyzing a Data Science Online Practitioner Community: Trends and Implications for Data Science Project Management.

[BibT_eX]

[DOI]

Jasmina Tacheva

Proceedings of the IEEE International Conference on Big Data, 2022

Nine Questions to Evaluate a Data Science Team's Process: Exploring a Big Data Science Team Process Evaluation Framework Via a Delphi Study.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Data, 2022

2021

Evaluating MIDST, A System to Support Stigmergic Team Coordination.

[BibT_eX]

[DOI]

Proc. ACM Hum. Comput. Interact., 2021

Factors that Influence the Selection of a Data Science Process Management Methodology: An Exploratory Study.

[BibT_eX]

[DOI]

Nicholas Hotz

Proceedings of the 54th Hawaii International Conference on System Sciences, 2021

Identifying and Addressing 6 Key Questions when Using Data Driven Scrum.

[BibT_eX]

[DOI]

Thibaut Jombart

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

CRISP-DM for Data Science: Strengths, Weaknesses and Potential Next Steps.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020

Exploring Which Agile Principles Students Internalize When Using a Kanban Process Methodology.

[BibT_eX]

[DOI]

J. Inf. Syst. Educ., 2020

Introduction to the Minitrack on Agile and Lean: Organizations, Products and Development.

[BibT_eX]

[DOI]

Edward Anderson

Proceedings of the 53rd Hawaii International Conference on System Sciences, 2020

Introduction to the Minitrack on Artificial Intelligence and Big Data Analytics Management, Governance, and Compliance.

[BibT_eX]

[DOI]

Anna Sidorova

Michael Goul

Proceedings of the 53rd Hawaii International Conference on System Sciences, 2020

SKI: A New Agile Framework that Supports DevOps, Continuous Delivery, and Lean Hypothesis Testing.

[BibT_eX]

[DOI]

Proceedings of the 53rd Hawaii International Conference on System Sciences, 2020

The Need for an Enterprise Risk Management Framework for Big Data Science Projects.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Data Science, 2020

Identifying the most Common Frameworks Data Science Teams Use to Structure and Coordinate their Projects.

[BibT_eX]

[DOI]

Nicholas Hotz

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019

Socio-technical Affordances for Stigmergic Coordination Implemented in MIDST, a Tool for Data-Science Teams.

[BibT_eX]

[DOI]

Proc. ACM Hum. Comput. Interact., 2019

Integrating Ethics within Machine Learning Courses.

[BibT_eX]

[DOI]

ACM Trans. Comput. Educ., 2019

Data science ethical considerations: a systematic literature review and proposed project framework.

[BibT_eX]

[DOI]

Neil I. Dewar

Ethics Inf. Technol., 2019

Coordination in OSS 2.0: ANT Approach.

[BibT_eX]

[DOI]

Proceedings of the 52nd Hawaii International Conference on System Sciences, 2019

Introduction to the Minitrack on Agile and Lean: Organizations, Products and Development.

[BibT_eX]

[DOI]

Daniel E. Turk

Edward Anderson

Proceedings of the 52nd Hawaii International Conference on System Sciences, 2019

Helping Data Science Students Develop Task Modularity.

[BibT_eX]

[DOI]

Proceedings of the 52nd Hawaii International Conference on System Sciences, 2019

Introduction to the Minitrack on Big Data, Data Science and Analytics Management, Governance and Compliance.

[BibT_eX]

[DOI]

Michael Goul

Zhongju Zhang

Proceedings of the 52nd Hawaii International Conference on System Sciences, 2019

Ethics in Data Science Projects: current Practices and Perceptions.

[BibT_eX]

[DOI]

Proceedings of the 27th European Conference on Information Systems, 2019

MIDST: A System to Support Stigmergic Coordination in Data-Science Teams.

[BibT_eX]

[DOI]

Proceedings of the Companion Publication of the 2019 ACM Conference on Computer Supported Cooperative Work and Social Computing, 2019

Achieving Agile Big Data Science: The Evolution of a Team's Agile Process Methodology.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

SKI: An Agile Framework for Data Science.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Exploring the Use of a Kanban Coach for Student Teams.

[BibT_eX]

[DOI]

Proceedings of the 25th Americas Conference on Information Systems, 2019

Visualizing Kanban Work: Towards an Individual Contributor View.

[BibT_eX]

[DOI]

Proceedings of the 25th Americas Conference on Information Systems, 2019

2018

A Scalable Methodology to Guide Student Teams Executing Computing Projects.

[BibT_eX]

[DOI]

ACM Trans. Comput. Educ., 2018

Data Science Roles and the Types of Data Science Programs.

[BibT_eX]

[DOI]

Frank Armour

Ramesh Sharda

Commun. Assoc. Inf. Syst., 2018

Key Concepts for a Data Science Ethics Curriculum.

[BibT_eX]

[DOI]

Neil I. Dewar

Proceedings of the 49th ACM Technical Symposium on Computer Science Education, 2018

Thoughts on Current and Future Research on Agile and Lean: Ensuring Relevance and Rigor.

[BibT_eX]

[DOI]

John Tripp

Dan Turk

Proceedings of the 51st Hawaii International Conference on System Sciences, 2018

Introduction to the Minitrack on Agile and Lean: Organizations, Products and Development.

[BibT_eX]

[DOI]

John Tripp

Dan Turk

Proceedings of the 51st Hawaii International Conference on System Sciences, 2018

A Framework to Explore Ethical Issues When Using Big Data Analytics on the Future Networked Internet of Things.

[BibT_eX]

[DOI]

Proceedings of the Future Network Systems and Security - 4th International Conference, 2018

Identifying the Key Drivers for Teams to Use a Data Science Process Methodology.

[BibT_eX]

[DOI]

Proceedings of the 26th European Conference on Information Systems: Beyond Digitization, 2018

Improving Data Science Projects by Enriching Analytical Models with Domain Knowledge.

[BibT_eX]

[DOI]

Heng Zhang

Utpal Roy

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

Will Deep Learning Change How Teams Execute Big Data Projects?

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

Exploring Project Management Methodologies Used Within Data Science Teams.

[BibT_eX]

[DOI]

Proceedings of the 24th Americas Conference on Information Systems, 2018

Key Management and Governance Challenges when Executing Data Science / Analytics Projects.

[BibT_eX]

[DOI]

Proceedings of the 24th Americas Conference on Information Systems, 2018

2017

Predicting data science sociotechnical execution challenges by categorizing data science projects.

[BibT_eX]

[DOI]

Colin Connors

J. Assoc. Inf. Sci. Technol., 2017

Comparing Data Science Project Management Methodologies via a Controlled Experiment.

[BibT_eX]

[DOI]

Kevin Crowston

Proceedings of the 50th Hawaii International Conference on System Sciences, 2017

Exploring How Different Project Management Methodologies Impact Data Science Students.

[BibT_eX]

[DOI]

Proceedings of the 25th European Conference on Information Systems, 2017

Acceptance Factors for using a Big Data Capability and Maturity Model.

[BibT_eX]

[DOI]

Proceedings of the 25th European Conference on Information Systems, 2017

Does pair programming work in a data science context? An initial case study.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

The ambiguity of data science team roles and the need for a data science workforce framework.

[BibT_eX]

[DOI]

Nancy W. Grady

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2016

A Framework for Describing Big Data Projects.

[BibT_eX]

[DOI]

Colin Connors

Proceedings of the Business Information Systems Workshops, 2016

Not all software engineers can become good data engineers.

[BibT_eX]

[DOI]

Sibel Yilmazel

Özgür Yilmazel

Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

Big data team process methodologies: A literature review and the identification of key factors for a project's success.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

2015

Exploring the process of doing data science via an ethnographic study of a media advertising company.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015

The need for new processes, methodologies and tools to support big data teams and improve big data project effectiveness.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015

2013

The GET Immersion Experience: A New Model for Leveraging the Synergies between Industry and Academia.

[BibT_eX]

[DOI]

Mark A. Serva

J. Inf. Syst. Educ., 2013

2012

An open co-op model for global enterprise technology education: integrating the internship and course work.

[BibT_eX]

[DOI]

Jae C. Oh

Proceedings of the 43rd ACM technical symposium on Computer science education, 2012

2007

Increasing Participation in Distance Learning Courses.

[BibT_eX]

[DOI]

IEEE Internet Comput., 2007

2004

Student social graphs: visualizing a student's online social network.

[BibT_eX]

[DOI]

Starr Roxanne Hiltz

Murray Turoff

Proceedings of the 2004 ACM Conference on Computer Supported Cooperative Work, 2004

Measuring Student Participation in a Web-based Environment: A Framework for Developing New Tools.

[BibT_eX]

[DOI]

Proceedings of the 10th Americas Conference on Information Systems, 2004

1997

Dynamic visualization of hierarchical data.

[BibT_eX]

[DOI]

Hikmet Senay

Proceedings of the Human Vision and Electronic Imaging II, 1997

1988

The Development of PHEX, a 3D Graphics Extension to X11.

[BibT_eX]

[DOI]

William H. Clifford Jr.

John I. McConnell