coe-staff: COE Events Calendar Update

Lisa Fortin lfortin at uoregon.edu
Thu Oct 1 10:14:10 PDT 2020


Hello,
Below is our COE events calendar update for the Fall term.
If there are events you would like to add to this calendar, all you need to do is set up the event as a meeting on your own outlook calendar and invite coeevents at uoregon.edu<mailto:coeevents at uoregon.edu> to the event.  You will receive a confirmation that the event has been added.
Please use the Religious Observances Calendar provided by the Office of the Registrar to identify events, classes, exams or UO activities which may intersect with religious observances:  https://registrar.uoregon.edu/calendars/religious-observances
Let me know if you have any questions.
Thanks,
Lisa


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COE Events Calendar
coeevents at uoregon.edu
Thursday, October 1, 2020 - Friday, December 11, 2020


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Faculty and Staff Meeting
Fri, Oct 9
1:30 PM - 3:00 PM
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Social Systems Data Series Speaker: Dr. Elizabeth Shriberg
Fri, Oct 16
1:30 PM - 3:00 PM
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Veteran's Day
United States
Wed, Nov 11
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Social Systems Data Science Speaker: Dr. Min Sun
Fri, Nov 20
1:30 PM - 3:00 PM
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Thanksgiving Day
United States
Thu, Nov 26
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  Details
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Friday, October 9, 2020

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Time

1:30 PM - 3:00 PM

Subject

Faculty and Staff Meeting

Reminder

30 minutes



You are invited to a Zoom webinar.
When: Oct 9, 2020 01:30 PM Pacific Time (US and Canada)
Topic: COE Faculty and Staff Meeting (Fall 2020)

Download the Zoom App
"Zoom Client for Meetings"
https://zoom.us/download

PLEASE WEAR HEADPHONES / EARBUDS DURING THE ZOOM SESSION

Please click the link below to join the webinar:
https://uoregon.zoom.us/j/92198355261?pwd=cHgvdjFl V2pTa2luTTRPRmpHMmRHQT09
Passcode: 612809

Or iPhone one-tap :
US: +12532158782,,92198355261# or +13462487799,,92198355261#
Or Telephone:
Dial(for higher quality, dial a number based on your current location):
US: +1 253 215 8782 or +1 346 248 7799 or +1 669 900 9128 or +1 301 715 8592 or +1 312 626 6799 or +1 646 558 8656
Webinar ID: 921 9835 5261
International numbers available: https://uoregon.zoom.us/u/amEAcjbD7
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Friday, October 16, 2020

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Time

1:30 PM - 3:00 PM

Subject

Social Systems Data Series Speaker: Dr. Elizabeth Shriberg

Reminder

30 minutes



Click here to RSVP: https://oregon.qualtrics.com/jfe/form/SV_bx4862NYc mcnNg9

Title: Deep Learning for Predicting Depression and Anxiety from Spoken Language
Abstract: Depression and anxiety are globally prevalent and debilitating conditions that are often under-diagnosed. Digital health solutions can play a critical role in the management of behavioral health by scaling capacity for screening and for remote monitoring of patients between provider visits. Speech technology offers promise because speaking is natural, engaging, carries meaning, and requires only a microphone.

This talk describes recent work at Ellipsis Health, a San Francisco start-up, on two deep learning models developed for this purpose. One model uses natural language processing. The other uses speech acoustics. Both models employ transfer learning. Speech data come from two corpora representing a total of over 11,000 users who interacted with an application. PHQ-8 and GAD-7 labels are used for supervised training and model evaluation.

Results are presented for both depression and anxiety, showing that binary classification rates are near or above 0.80 AUC. Further analyses explore the effect of training data size, effect of test sample length, and portability over different patient demographics such as age, gender, and ethnicity. Finally, the talk shares some lessons learned and remaining challenges for real-word deployments in this domain.

Dr. Shriberg is also available from 9 am - 12 pm for individual meetings. RSVP at the link above to register for those meetings.

Bio:
Dr. Elizabeth Shriberg is a speech scientist with over 25 years of experience in the analysis and computational modeling of spoken language. She is currently Chief Science Officer at Ellipsis Health, a San Francisco start-up developing artificial intelligence solutions based on spoken conversation analysis, to advance behavioral health. She is also an Affiliate of Johns Hopkins University / HLTCOE in Baltimore, MD, and an External Fellow of the International Computer Science Institute in Berkeley, CA. Prior to Ellipsis she was a Principal Scientist at SRI International in Menlo Park, CA, leading data science and machine learning teams working on government and commercial R&D efforts in speech-based emotion and affective computing, health monitoring, speech understanding, dialog modeling, computational prosody, speaker verification, and modeling of speech disfluencies. Dr. Shriberg was also a Principal Researcher at Microsoft Research in Mountain View, CA, developing methods for natural conversation with machines. She has published over 300 papers and patents and is a Fellow of the International Speech Communication Association and of SRI International. Dr. Shriberg serves on international academic association, conference, and journal boards. She also advises multiple startups working in conversational AI.
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Wednesday, November 11, 2020

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Time

All Day

Subject

Veteran's Day

Location

United States

Categories

Holiday
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Friday, November 20, 2020

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Time

1:30 PM - 3:00 PM

Subject

Social Systems Data Science Speaker: Dr. Min Sun

Reminder

30 minutes
More information to come!
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Thursday, November 26, 2020

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Time

All Day

Subject

Thanksgiving Day

Location

United States

Categories

Holiday
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Lisa Fortin
Director, Events and Student Recruitment
UO College of Education
541-346-1607

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