Chinmay Kulkarni - Systems for Learning in a Computationally-Mediated Future of Work Description

Speaker: Chinmay Kulkarni , Carnegie Mellon University (CMU)

Date: Tuesday, February 08, 2022

Time: 4:00 PM to 5:00 PM Note: all times are in the Eastern Time Zone

Public: Yes

Location: 32-D463 (Star)

Event Type: Seminar

Room Description:

Host: Arvind Satyanarayan, CSAIL MIT

Contact: Cynthia Rosenthal,

Relevant URL:

Speaker URL:

Speaker Photo:

Reminders to:,,,

Reminder Subject: TALK: Chinmay Kulkarni - Systems for Learning in a Computationally-Mediated Future of Work Description

Enabled by the internet, and accelerated by the pandemic, the future of work is already here. Workers collaborate with distant colleagues they have never met in person, employers rely on the matching algorithms of online labor platforms to find and connect with freelancers around the world, and even seemingly “offline” businesses are increasingly computationally-mediated, for example, relying on social media platforms to connect with their customers. However, computationally-mediated work today largely lacks tools that support learning: without a supervisor, freelancers struggle to identify which skills will help them grow, and without face-to-face interactions, online collaborators often fail to learn how to work together effectively.

Based on my research that has resulted in tools that have helped millions of people learn in massive online classes (MOOCs), I argue for a new approach for supporting learning in computationally-mediated work. Specifically, I argue for designing systems that use findings from behavioral sciences to create social interactions that scaffold learning, and then use computational techniques to weave these interactions into the fabric of work and to amplify their benefits. In this talk, I demonstrate this approach with systems that help people identify which skills to learn, collaborate more effectively, and develop more productive behaviors.

Chinmay Kulkarni is an Associate Professor in Human-Computer Interaction at Carnegie Mellon University, whose research introduces technology for scaling education and online work. His lab has created systems that scale feedback and assessment to thousands of learners in massive online classes, systems that extend peer feedback to work contexts where competition may prevent honest feedback, and systems for learning how to adapt to new forms of work. More than 50,000 learners have directly benefited from these systems, and companies as varied as Coursera, Mozilla, and Instagram have adopted the related research findings, benefiting millions more. His lab is also developing community-based design approaches that can also yield scalable socio-technical solutions while still resisting the impulse to position certain community needs as edge cases. This research is currently supported by the NSF, the US Department of Education, and the Office of Naval Research. Past research sponsors include Mozilla and Instagram. Before coming to Carnegie Mellon, he earned a PhD from Stanford's Computer Science Department.

For those who might wish to attend remotely, the seminar will also be on Zoom:

This is a Tim Tickets event. Please bring your MIT ID or scan the QR code on your phone:

Research Areas:

Impact Areas:

See other events that are part of the HCI Seminar Series 2022 - 2023.

Created by Cynthia Rosenthal Email at Thursday, January 20, 2022 at 10:57 AM.