Upcoming Events
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- 2019
- 2018
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- Speaker
- Exhibitor
- Attendee
December 4 - 7, 2019 · Nashville, United States
CGS Annual Meeting
Speaker & Exhibitor
Hear how graduate programs are using Kira Talent’s solution to address major issues such as time constraints, biased admissions decisions, and lack of diversity on campus.
Past Events
June 27 - 28, 2019 · Boston, United States
Liaison User Conference
Speaker
In this interactive session, we discussed nine forms of bias that can creep into the typical admissions process and how to reduce the impact they have on decision making.
June 19 - 23, 2019 · Denver, United States
GMAC Annual Conference
Speaker & Exhibitor
In this workshop, we explored how to combine soft skill evaluations into existing and new admissions criteria to enroll the right students.
April 1 - 4, 2019 · Utah, United States
GNAP Conference
Speaker & Exhibitor
In this session, attendees received a brief overview of holistic admissions for nursing school admissions. Missed the live event? Click "Learn More" to watch the online version.
December 5 - 8, 2018 · Washington, United States
CGS Annual Meeting
Speaker & Exhibitor
We are progressively teaching machines how to make our lives easier and help us work faster. What does this shift mean for graduate admissions teams? This session explored how predictive technologies will change the way we recruit, select, and enroll students, and how schools can start preparing today for the technological revolution ahead.
November 11 - 14, 2018 · Washington, United States
AACRAO Strategic Enrollment Management Conference
Exhibitor
October 23 - 24, 2018 · Virginia, United States
JMU Holistic Admissions Conference
Speaker
An educational session followed by an interactive workshop, both developed to foster discussions around holistic admissions, bias, and diversity at JMU's Graduate School.
June 27 - 29, 2018 · Boston, United States
GMAC Annual Conference
Speaker & Exhibitor
From the photo recognition technology on Facebook to the natural language processors in your smartphone, we are progressively teaching machines to help us work faster. This session explored how machine learning might change the way we recruit, assess, and enroll students in the future, and how schools can start planning for the technological revolution ahead.
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