A conference talk given at the Internet Librarian International, London, UK. October 16, 2018 by Bohyun Kim, Chief Technology Officer & Associate Professor at the University of Rhode Island Libraries, USA.
Swan(sea) Song – personal research during my six years at Swansea ... and bey...
Taking on a New Leadership Challenge: Student-Focused Learning in Artificial Intelligence
1. Taking on a New Leadership
Challenge: Student-Focused
Learning in Artificial Intelligence
Bohyun Kim
CTO & Associate Professor, University of Rhode Island Libraries, USA
Internet Librarian International, London, UK. October 16, 2018.
23. What Inspired the URI AI Lab
• A response to the freshmen survey results about topics they wished
to see in the college curriculum.
• Dovetails with already existing initiatives at URI
• Big Data cluster
• A new BS/BA major in data science
• DataSpark , a non-profit data analytics firm, acquired by URI in
2017, is placed under the URI Libraries.
• Started as a grant proposal for the Champlin Foundation in the
summer of 2017.
24. The AI LabTeam
• University Libraries
• Department of Computer Science & Statistics
/Big Data Initiative and Data Science Programs
• Department of Electrical, Computer, and Biomedical
Engineering
• Department of Philosophy
25. What Makes the AI Lab at URI Unique
• Open to all members of the campus community with no access
restriction
• Open to all disciplines
• Encourages a multi-disciplinary approach to a wide range of AI-
related issues from machine learning techniques to social and ethical
issues
• A strong focus on student learning
• Three different zones to provide “learning-by-doing” experiences
26. Funding
• The grant was awarded in the fall of 2017.
• Approximately $143,000 from the Champlin grant award
• Additional commitment from participating colleges, the URI Libraries,
and the URI Provost’s office
27. Learning Zones
• Zone 1: AI Workstations for Individualized Learning
• Zone 2: Hands-on Project Bench
• Deep Learning Robots: program mobile robots instrumented with cameras,
radars, sensors, and actuators; build AI algorithms to navigate both known
and unknown environments.
• Internet-of-things for Smart Cities: a physical model of Rhode Island
containing distributed sensors and actuators to design intelligent algorithmic
projects to control city environments such as lighting, traffic, transit and
parking.
• Big Data Analytics: access and analyze various kinds of big data available in
public domain.
• Zone 3: AI Hub for Collaborative Thinking
Source: Kunal Mankodiya, Aras Dargazany, Cheryl Foster, Joan Peckham, Harrison Dekker, Angel Ferria, and
Karim Boughida, "ai.uri: The Artificial Intelligence Lab (a grant proposal)," September, 2017.
28. Designed to Be Integrated with URI Courses
• Wearable Internet of Things (ELE 491/591)
• apply machine/deep learning algorithms to enhance designed
wearables that collect data on health.
• Neural Engineering (BME 468/ELE 568)
• utilize the AI Lab’s processing power to gain a deeper
understanding of using brain electrical activity to control robots
and other technology.
• Philosophy (PHL 103)
• undertake foundational programming exercises, allowing students
to engage in discussions related to relationships between man and
machine.
Source: Kunal Mankodiya, Aras Dargazany, Cheryl Foster, Joan Peckham, Harrison Dekker, Angel Ferria, and
Karim Boughida, "ai.uri: The Artificial Intelligence Lab (a grant proposal)," September, 2017.
29.
30.
31. Beyond Course Projects
• Expected to serve as a generator of new courses exploring AI from
fields outside computing, engineering, and mathematics, e.g.
• Examining the implications of AI for neuroscientific applications to
health and cognition (psychology/health studies)
• Clarifying what constitutes “thinking” and whether self-aware
machines have rights (philosophy)
Source: Kunal Mankodiya, Aras Dargazany, Cheryl Foster, Joan Peckham, Harrison Dekker, Angel Ferria, and
Karim Boughida, "ai.uri: The Artificial Intelligence Lab (a grant proposal)," September, 2017.
32. Beyond Course Projects [continued]
• Hosts events to identify and bring together faculty, staff and the
greater community with an active interest in AI from diverse vantage
points.
• Lectures and talks
• Hackathons open to students from URI and beyond
• Opportunities to integrate AI-focused learning experiences into
existing K-12 initiatives, such as SMILE (Science and Math
Investigative Learning Experience) and the RI STE(A)M Center
(which promotes K-12 scientific literacy)
Source: Kunal Mankodiya, Aras Dargazany, Cheryl Foster, Joan Peckham, Harrison Dekker, Angel Ferria, and
Karim Boughida, "ai.uri: The Artificial Intelligence Lab (a grant proposal)," September, 2017.
33. Computing Equipment
• Decided on equipment optimized for
machine learning/deep learning tasks
• Server: Nvidia DGX-1 Server for GPU
computing
• Workstations: Lambda Tensorbooks