Smart Tutoring Through Conversational Interfaces
In the well-known two sigma problem introduced in 1984, Bloom found that students tutored by a one-on-one mastery-learning tutor achieved a learning outcome two standard deviations higher than those tutored by traditional learning methods. Since one-on-one tutoring is too costly…
Remote! Code for Boston Civic Hack Night
Code for Boston is a Code for America Brigade - a volunteer civic innovation organization created by Boston-area developers, designers, and activists with an interest in solving civic and social problems through the use of technology. We feel that Boston…
Patrick Carrington – DUB seminar
The weekly DUB seminar is the primary gathering point for the DUB community. The seminar features talks from diverse leading perspectives in Human Computer Interaction & Design, presented by members of the DUB community and by visiting researchers and practitioners.…
Keoni Mahelona and Peter-Lucas Jones on Indigenous Data Sovereignty
Peter-Lucas Jones of Te Aupouri, Ngai Takoto, Te Rarawa, and Ngāti Kahu descent, is the General Manager of Te Hiku Media. Keoni Mahelona is currently building Te Reo Māori speech recognition tools including text to speech, speech to text, and…
Public Lecture Series: Critical Perspectives on Technology
Technologies invade our everyday lives, take part in constructing our identity, classify (often violently) bodies, and, pushed by recent regulations on social distancing, play an expanding role in connecting families and friends. The effects of this rapid increase of technological…
Ayanna M Howard on Understanding and Mitigating Bias and Human Overtrust in Robotics and AI
People tend to overtrust sophisticated computing devices, including robotic systems. As these systems become more fully interactive with humans during the performance of day-to-day activities, the role of bias in these human-robot interaction scenarios must be more carefully investigated. Bias is a…
Designing for Human – AI Complementarity
AI systems are increasingly used to support human work in richly social contexts such as education, healthcare, and social work. To ensure that AI systems do more good than harm, it is critical that they are designed to bring out…
SIGCHI Equity Talks #1: Being Global
March 8, 4.30pm-5.30pm GMT. Zoom Sli.do Read more: https://medium.com/sigchi/equity-talks-sigchi-7b38b8e3477
Morgan Klaus Scheuerman on How We Teach Computer Vision To See Race and Gender
Race and gender have long sociopolitical histories of classification in technical infrastructures-from the passport to social media. Facial analysis technologies are particularly pertinent to understanding how identity is operationalized in new technical systems. This talk will cover two studies on…
DUB Small Group Mixers
The weekly DUB seminar is the primary gathering point for the DUB community. The seminar features talks from diverse leading perspectives in Human Computer Interaction & Design, presented by members of the DUB community and by visiting researchers and practitioners.…
Public Lecture Series: Critical Perspectives on Technology
Technologies invade our everyday lives, take part in constructing our identity, classify (often violently) bodies, and, pushed by recent regulations on social distancing, play an expanding role in connecting families and friends. The effects of this rapid increase of technological…
The Brazilian chapter of ACM SIGCHI (BR-CHI) Webinars
Description: In each Webinar, we have a different guest. Mostly, we have invited keynotes from Brasil, bringing academic researchers and professionals from industry, providing their talk in Brazilian-Portuguese. The Webinars take place live, which are recorded and are available on…
If you wish to subscribe or export the calendar, use the “Subscribe to calendar” button above (for iCal, Outlook, or Google). Note: Google and iCal will update events on a monthly basis.
• Need help subscribing?
Community Events are not officially hosted by SIGCHI.
Want to add an event or add a holiday.
Need to compare time zones?
Questions? Email sigchi-4all@acm.org.