Niloufar Salehi

Niloufar Salehi

Title
Assistant Professor
Department
Division of Computer Science/EECS
School of Information
Research Expertise and Interest
computer-mediated communication, human-computer interaction

In the News

September 13, 2022

EPIC Data Lab: Harnessing the power of computer science to help society

Building data tools that allow people without programming backgrounds to benefit from the latest computer science advances, the EPIC Data Lab – short for Effective Programming, Interaction, and Computation with Data, a new UC Berkeley Lab, is collaborating with end-users like public defenders to understand what important messy data challenges exist in their fields.
April 21, 2020

Understanding and seeking equity amid COVID-19

In today’s Berkeley Conversations: COVID-19 event, Jennifer Chayes, associate provost of the Division of Computing, Data Science, and Society and dean of the School of Information, spoke with three UC Berkeley experts about how relying on data and algorithms to guide pandemic response may actually serve to perpetuate these inequities — and what researchers and data scientists can do to reverse the patterns.

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In the News

September 13, 2022

EPIC Data Lab: Harnessing the power of computer science to help society

Building data tools that allow people without programming backgrounds to benefit from the latest computer science advances, the EPIC Data Lab – short for Effective Programming, Interaction, and Computation with Data, a new UC Berkeley Lab, is collaborating with end-users like public defenders to understand what important messy data challenges exist in their fields.
April 21, 2020

Understanding and seeking equity amid COVID-19

In today’s Berkeley Conversations: COVID-19 event, Jennifer Chayes, associate provost of the Division of Computing, Data Science, and Society and dean of the School of Information, spoke with three UC Berkeley experts about how relying on data and algorithms to guide pandemic response may actually serve to perpetuate these inequities — and what researchers and data scientists can do to reverse the patterns.
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