2018 Grace Hopper Celebration and Diversity + Design Conference Report Out
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Conference Report Out 2018 Diversity + Design Conference 2018 Grace Hopper Celebration
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2018 Grace Hopper Celebration and Diversity + Design Conference Report Out
- 2. 2 Conferences Design and Diversity Conference • St. Louis, MO • August 2018 • 3rd year (Since 2015) Grace Hopper Celebration of Women in Computing • Houston, TX • September 2018 • 24th year (Since 1994) 2
- 5. 5 Centene Center for the Arts Day 1 – Interactive Workshops Who’s at your table? Erika Harano | Creative Reaction Lab Examining and dismantling power constructs in design and decision-making spaces. Equity-Centered Community Design Framework that critically examines the relationships among design, inequity and exclusion.
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- 7. How do we design inclusive communities? Issues to address: • Transportation • Housing • Healthcare • Education • Economy • Policy 7
- 8. Key Takeaways • Explored co-designing inclusive and equitable systems that center community leadership, expertise, shared values and interests. • Equality = sameness • Equity = fairness • Create pathways to equity. • Build community where community doesn’t exist. • Human-centered design isn’t enough. Also examine power, privilege and history. • Where are students getting their hope from? • Museums and libraries as inspiration for ideating. 8 Link to Amazon
- 9. Debate Camp for Designers Joseph Meersman | IBM Key Takeaways • Get feedback from users. (i.e. students) • Get feedback from design experts. • Get feedback from user experts. (i.e. faculty, etc) • Design by committee can dilute the design and reduce efficiency. • Bring in management for difficult personalities after 1st trying to work things out. • Good leadership defends the design process. 9
- 10. 10 Moto Museum
- 11. 11 Moto Museum Day 2 – Lecture Presentations Thinking Critically about Machine Learning and its Social Impact Jamila Smith-Loud | Google Discussion on biases in machine learning and machine learning fairness.
- 12. Thinking Critically about Machine Learning and its Social Impact Key Takeaways • What are humans teaching computers? • Human bias is in the data collection process. • Representative harm • Allocative harm 12
- 13. Thinking Critically about Machine Learning and its Social Impact Key Takeaways Allocative harm • An allocative harm is when a system allocates or withholds a certain opportunity or resource. Representative harm • Occur when systems reinforce the subordination of some groups along the lines of identity. 13 Link to Article
- 14. Thinking Critically about Machine Learning and its Social Impact Key Takeaways • Model prediction can be based on biases. • Importance of recruiting diverse people for testing software and algorithms. • Data can infer race or gender based on the context of information collected. • Choice points can be used to discriminate against marginalized groups. 14 Link to Article Amazon Prime – Except in Roxbury (based on income statistics)
- 15. Grace Hopper Celebration of Women in Computing Houston, TX 15
- 16. Houston George Brown Convention Center, Hilton Hotel, Marriot Hotel, Toyota Center 16
- 17. Keynote Speaker: Jessica O. Matthews CEO @ Uncharted Power Women in tech are… • Underestimated • Groundbreaking • Sisters Authentic Confidence • Live/Work/Think Authentically • Speak it into existence… • Ideas • Truth • Dreams Innovation • Be open to new ideas and creating innovation. • Design technology for everyday people. • Skills in collaboration and communication make us better. 17 Livestream Recording
- 18. Future of AR and VR Sophia Dominguez @ SVRF Top Features • Full facial filters • Body tracking • Automation - disable/enable features • Integration with social media Creation • Content creators focus on the importance of story for human connection. • Research and testing leads to consumer adoption and products. For Education • Promote active learning and exploration. • Use phone to explore expeditions. • Like a fully immersive video game for learning. 18 Headsets required in school?
- 19. Interactive Learning 19 Think Answer question individually Pair Partner with peer to discuss Share Share answer with class Teaching Tactics • Increase class participation. • Increase confidence in reporting in class. • Increase productivity in classroom discussions.
- 20. Teaching Tactics Teaching Purpose: More focus on increasing student knowledge. Less focus on displaying what the instructor knows. Pose questions over topic not yet discussed in class. Let students guess and get stuck. Introduce topic… Cards with student name used for group discussions. Peer Instruction + voting in real time. Assign groups for discussions • based on where they sit • have students sit with assigned group • Assign roles in groups (facilitator, scribe, speaker, etc.) 20 Interactive free books (OpenDSA, iBook) Pair programming (driver, navigator roles) Instant feedback in lecture (Google forms, Clickers, Sakai, Socrative) share with students. Thumb check for content • Up = Yes, I get it. • Mid Shake = I kind of get it. • Down = No, I don’t get it.