Computing for Social Good

Understanding computing's potential for good (and harm), including the role of computing and technology in responding to social, ecological, political, and other challenges

Researchers Working in this Area

Related Research Projects

Advancing STEM Online Learning by Augmenting Accessibility with Interactive Companionship

Time frame
2021-2024
Investigator
Yun Huang
Total funding to date
$526,006.00
Funding agency
National Science Foundation

Full title: Collaborative Research: Advancing STEM Online Learning by Augmenting Accessibility with Interactive Companionship

Videos are a popular option for online learning, and captions are essential for accessibility. Two types of captions exist: typical closed captions and explanatory captions. Closed captions…

interactive companionship

AI Institute Artificial Intelligence for Future Agricultural Resilience Management and Sustainability (AIFARMS)

Time frame
2020-2022
Investigator
Jingrui He
Total funding to date
$7,909.00
Funding agency
National Science Foundation

This project brings together researchers in AI and agriculture, combining their expertise to promote advances in agriculture through AI. AIFARMS mission is to use core AI research areas such as computer vision, machine learning, data science, soft object manipulation, and intuitive human-robot interaction to address major challenges in agriculture:

  • Sustainable intensification…
AI farms

Building a Motivational-Interviewing Conversational Agent (MintBot) for Promoting COVID-19 Vaccination among People with Multiple Sclerosis

Time frame
2021-2022
Investigator
Jessie Chin
Total funding to date
$74,992.00
Funding agency
Jump ARCHES

Individuals with multiple sclerosis are likely to be hesitant to get the COVID-19 vaccine due to their compromised health condition. This project aims to develop an accessible, generalizable and efficient digital health solution for promoting COVID-19 vaccination among vulnerable populations, such as people with disabilities.

MintBot

CAREER: Inclusive Privacy: Effective Privacy Management for People with Visual Impairments

Time frame
2019-Present
Investigator
Yang Wang
Total funding to date
$255,203.00
Funding agency
National Science Foundation

Privacy or security mechanisms are usually designed with the generic population in mind. As such, they often fall short of supporting many under-studied or marginalized sub-populations, such as children, older adults, people with disabilities, activists, journalists, victims of crimes or domestic violence, and people from non-western or developing countries. The goal of this project is to…

inclusive privacy

DeepCrowd: A Crowd-assisted Deep Learning-based Disaster Scene Assessment System with Active Human-AI Interactions

Time frame
2021-2023
Investigator
Dong Wang
Total funding to date
$499,786.00
Funding agency
National Science Foundation

Full title: CHS: Small: DeepCrowd: A Crowd-assisted Deep Learning-based Disaster Scene Assessment System with Active Human-AI Interactions

This project addresses the application of AI to disaster scene assessment (DSA). AI currently has limited success with DSA; this project…

DeepCrowd

Teach High School Students about Cybersecurity and AI Ethics via Empathy-Driven Hands-On Projects

Time frame
2021-2023
Investigators
Yang Wang, Yun Huang
Total funding to date
$154,754.00
Funding agency
National Science Foundation

Full title: Collaborative Research: Advancing STEM Online Learning by Augmenting Accessibility with Interactive Companionship

Videos are a popular option for online learning, and captions are essential for accessibility. Two types of captions exist: typical closed captions and explanatory captions. Closed captions…

empathy driven AI

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