Blogs (3) >>
Sat 23 Mar 2024 10:55 - 11:06 at Meeting Rooms B115-116 - Lightning Talks 3 Chair(s): Eric Fouh, Lisa Lacher

CS 109, “Data Science for Social Good,” exemplifies cross-disciplinary education, preparing students for a data-centric world where technology and social consciousness unite. The course is co-taught by a Software Development (programming) instructor, and a Social Science (Geography) instructor. This introductory course empowers students to harness the power of data for addressing societal issues. Participants learn data collection, computation, analysis, and visualization techniques while exploring themes of equity and socioeconomic inequality. Through data-driven advocacy, students emerge as catalysts for social change and justice. No prior experience is necessary. Our lightning talk will delve into how CS 109 breaks traditional disciplinary boundaries to achieve the following learning outcomes: • Create Computational Artifacts: Students develop practical computing skills to tackle real-world problems. • Collaborative Learning: Collaboration is at the core of our course, fostering teamwork in both programming and problem solving. • Abstract Thinking: Students master abstraction principles while writing programs or creating computational artifacts. • Data-Driven Insight: We empower students to discern patterns, test hypotheses, and gain insights into equity and socioeconomic inequities. • Advocacy Through Visualization: Students effectively communicate insights using visualization, notations, and precise language, championing social change. • Descriptive Statistics: Our curriculum equips students to summarize data, uncover patterns, and address pressing social issues. • Data Management: Students learn to clean, summarize, and visualize data related to social concerns.

Sat 23 Mar

Displayed time zone: Pacific Time (US & Canada) change

10:45 - 12:00
Lightning Talks 3Lightning Talks at Meeting Rooms B115-116
Chair(s): Eric Fouh University of Pennsylvania, Lisa Lacher University of Houston-Clear Lake
10:45
10m
Talk
A Cross-disciplinary Review of Introductory Undergraduate Data Science Course Content
Lightning Talks
Michael Posner Villanova University, April Kerby-Helm Winona State University, Alana Unfried California State University, Monterey Bay, Douglas Whitaker Mount Saint Vincent University, Marjorie Bond Monmouth College (Illinois), Leyla Batakci Elizabethtown College
10:55
10m
Talk
Data Analytics for Social Good: A Collaborative Fusion of Computer Science and Social Science
Lightning Talks
Tina Ostrander Green River College, Tim Scharks Green River College, Kendrick Hang Green River College
11:06
10m
Talk
DEEILS: Data Ethics Embedded Interactive Learning System for Computer Science Students
Lightning Talks
Ke Yang University of Texas at San Antonio
11:17
10m
Talk
Enabling Widespread Engagement in DS and AI: The Generation AI Curriculum Initiative for Community Colleges
Lightning Talks
Rebecca Schroeder The University of Texas at San Antonio, Jianwei Niu University of Texas at San Antonio, Ashwin Malshe University of Texas at San Antonio, Sue Hum University of Texas at San Antonio, Siobhan Flemming University of Texas at San Antonio, Ian Thacker University of Texas at San Antonio
11:27
10m
Talk
Moms can be computing leaders, too! Why we need computing community learning centers designed and lead by mothers
Lightning Talks
Patricia Ordóñez University of Maryland, Baltimore County
11:38
10m
Talk
Registered Reports: A new way to publish papersGlobal
Lightning Talks
Neil Brown King's College London
11:49
10m
Talk
Scaling Responsible Computing Globally: Lessons from the US, Kenya, and IndiaGlobal
Lightning Talks
Crystal Lee MIT and Mozilla Foundation, Chao Mbogho Mozilla Foundation, Jibu Elias Mozilla Foundation, Joycelyn Streator Prairie View A&M University, Kathy Pham Harvard University, Ziyaad Bhorat University of Southern California, Steve Azeka Columbia University