OpenDS4All: Call for Participation


                                                       

The Northeast Big Data Innovation Hub (NEBDHub), in collaboration with the Linux Foundation AI & Data, is delighted to invite you to join the leadership and development team of the OpenDS4All GitHub repository. The OpenDS4All GitHub repository was originally created by IBM in 2020 to accelerate the creation and open availability of data science curricula for use by academic institutions. IBM transferred the management of the OpenDS4All GitHub repository to the NEBDHub in June 2023. We are engaging the community to grow the content and further leverage of as a learning and professional development tool for data science students, leaders and enthusiasts around the world.

The OpenDS4All GitHub repository includes hundreds of resources from slide presentations on data science ethics and supervised machine learning, to Jupyter notebooks which provide hands-on learning opportunities. All the content is provided via a Creative Commons License from numerous sources including academia, industry and nonprofits. Many of the resources are transformed into video and audio recordings to increase the accessibility and educational experience, thanks to the work of students in the Peer Instructors and Mentoring teams from the Northeast Big Data Innovation Hub and National Student Data Corps

Please let us know if you would like to join this volunteer team. The three roles are:

  1. Technical Steering Committee Member
  2. Content Review Team
  3. Content Developers

Data science subject matter experts and graduate students are also invited to volunteer to join the leadership team, either the Technical Steering Committee which will support strategic development, outreach and growth, and/or the Content Review Team which will review and vet new submitted content before it is presented to the TSC for approval to be added to OpenDS4All. 

We welcome data science community members from throughout the United States and around the world to join the OpenDS4All team, and to create and submit potential new content, including domain scientists, data scientists, technologists, researchers, educators, students, industry, not for profit workers, and municipal leaders.

Learn more about the available collaborative roles on the OpenDS4All HQ Team below. Complete the Call for Participation Google Form to express your interest in participating!

Roles, Responsibilities, and Time Commitments

  • Responsibilities: Support the strategic growth and use of the repository; review and approve the addition of new content; perform outreach to the data science community to attract additional content and encourage repository use; develop strategic and pedagogical plans to best serve data science learners in higher education, K-12, and professional organizations.
  • Preferred Skills: Experience in data science education and mentoring; application of data science tools and techniques in various domains; data science, general or domain specific pedagogy.
  • Preferred Current/Previous Roles: Professionals, researchers and educators with expertise in data science or affiliated fields from academia, industry, non-profit, or government sectors.
  • Time Commitment: One 1-hour TSC meeting a month; 1-2 hours a month of preparation prior to TSC meetings.
  • Responsibilities: Reviewing new content submitted by content developers for correctness and completeness; offering suggestions to improve and strengthen content; editing content submissions along NEBDHub guidelines.
  • Preferred Skills: Experience in data science education and mentoring; familiarity with data science tools and techniques in various domains; data science pedagogy.
  • Preferred Current/Previous Roles: Students, faculty, professionals, and/or researchers with experience in data science and affiliated fields from academia, industry, non-profit, or government sectors.
  • Time Commitment: 1+ hour a week, ongoing.
  • Responsibilities: Creating original learning materials (e.g. PowerPoint lectures, video presentations, homework assignments, or Jupyter notebooks) that demonstrate data science tools and techniques; or formatting premade learning materials into various mediums (e.g., video presentations and walkthrough demonstrations, transcriptions, and translated content).
  • Preferred Skills: Experience in data science education and mentoring; familiarity with data science concepts, tools, and techniques in various domains.
  • Preferred Current/Previous Roles: Students, faculty, professionals, and/or researchers with experience in data science and affiliated fields from academia, industry, non-profit, or government sectors.
  • Time Commitment: 1+ hour a week, ongoing.

Team Members

Sheyma Abdikebir
University of South Dakota

Content Review Team

Majeda Almukhtar
Deakin University

Content Development Team; Content Review Team

Freeman Buernor
Colby College

Steering Committee; Content Review Team

Yuancheng Cao
University of California, San Diego

Content Review Team; Content Development Team

Hyunji Cha
University of Alberta

Content Development Team

Poulomi Chakravarty
Global Climate Association

Technical Steering Committee

Shuvam Chatterjee
University at Buffalo

Technical Steering Committee; Content Review Team

Varun Chikkala
Portland State University

Technical Steering Committee; Content Review Team

Sumedh Datar
University of Texas, Arlington

Technical Steering Committee; Content Review Team

Andre DeWaal
IBM

Technical Steering Committee

Balaji Dhamodharan
Papert

Technical Steering Committee

John Ellis
Dartmouth College

Technical Steering Committee; Content Development Team

Jessica Fleck Elzey
Brigham Young University

Technical Steering Committee; Content Development Team; Content Review Team

Sai Gattu
University of Massachusetts, Amherst

Technical Steering Committee; Content Review Team

Ahmed Gomaa
University of Scranton

Technical Steering Committee

Ravikant Hatwar
Steel Authority of India Limited

Content Development Team

Khalil Inane
Hudson County Community College

Content Review Team

Sandeep Jala
University of Michigan

Content Review Team

Rekha Jayalakshmi
Columbia University

Content Development Team; Content Review Team

Iram Kamdar
Columbia University

Technical Steering Committee

Disleve Kanku
Northeastern University

Technical Steering Committee

Dorde Klisura
University of Texas, San Antonio

Content Review Team

Elena Krumova
Columbia University

Technical Steering Committee; Content Review Team

Karthik G. Kumar
Government Model Engineering College

Content Development Team

Vaibhavi Mayya
University of Cambridge

Content Review Team

Cynthia Mutisya
Eotvos Lorand University

Content Development Team

Sandeep Namburi
Georgia Institute of Technology

Content Review Team

Anh Nguyen
Wake Forest University

Content Development Team; Content Review Team

Bao Nguyen
Adobe

Technical Steering Committee; Content Development Team; Content Review Team

Patrick Ofosuhene
DEPT

Content Review Team

Maria Pratyusha
Columbia University

Technical Steering Committee; Content Development Team; Content Review Team

Pravan Raj Ravi
Saint Louis University

Content Review Team

Lipika Sharma
Generali Deutschland AG

Technical Steering Committee; Content Development Team; Content Review Team

Seren Smith
George Mason University

Content Review Team

Jim St. Clair
Mississippi Coding Academies

Content Review Team

Ola Suaifan
Montclair State University

Technical Steering Committee; Content Development Team; Content Review Team

Eric Thomson
Simmons University

Technical Steering Committee; Content Development Team; Content Review Team

Sofia Utoft
Boston College

Content Development Team; Content Review Team

Stephen Uzzo
National Museum of Mathematics

Technical Steering Committee

Vedant Vashi
Arizona State University

Content Development Team; Content Review Team

Alison Yelsma
New York University

Content Review Team

 

    Call for Participation

    Please complete this form to engage with the NEBDHub and the OpenDS4All GitHub repository. The Hub will follow up with interested parties on next steps.