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BYU Information Technology receives $24.5K National Science Foundation RAPID grant to research human-AI teaming in emergency response
BYU IT & Cybersecurity assistant professor Amanda Hughes has been awarded a competitive $24,498 National Science Foundation (NSF) RAPID grant. Her project, titled “Human-AI Teaming for Big Data Analytics to Enhance Response to the COVID-19 Pandemic,” is in collaboration with the University of Texas at Austin and George Mason University.

Read more: https://engineering.byu.edu/news/byu-information-technology-receives-24-5k-national-science-foundation-rapid-grant-to-research-human-ai-teaming-in-emergency-response

Don’t be too quick to trust information on social media accounts named after a crisis like COVID-19
June 24, 2020 - Postdoctoral Researcher Apoorva Chauhan and Professor Hughes published a new study that evaluates the trustworthiness of social media accounts named after crisis events. The Cheriton School of Computer Science at Waterloo University released an article about the study: https://cs.uwaterloo.ca/news/dont-be-too-quick-trust-information-social-media-named-after-crisis-like-covid-19?fbclid=IwAR2PFAgt2-Mv5CGS3XgrgRQQzFagFsdktCMXwoiK5gTHAHyzUk51bMOIBQg

Avoiding Misinformation
June 15, 2020 - Professor Hughes did an interview with BYU radio talk show "The Lisa Show" about how we can detect and avoid misinformation. you can listen to the interview here: https://www.byuradio.org/episode/850f06ff-2077-4a17-bfd2-99747eb68dfb/850f06ff-2077-4a17-bfd2-99747eb68dfb?playhead=3014&autoplay=true

NSF RAPID/Collaborative grant award to study COVID-19
May 2020 - We are proud to announce that our research team received an NSF RAPID/Collaborative grant titled “Human-AI Teaming for Big Data Analytics to Enhance Response to the COVID-19 Pandemic.” This project is designed to 1) better understand the process of real-time decisions that digital volunteers make when they rapidly convert social media data into structured codes that machines (Artificial Intelligence algorithms) can understand, and 2) use this knowledge to improve human-machine teaming. We hope to advance understanding of how humans and machines each add unique value to the decision-making process as we try to recognize and respond to patterns that emerge from social media data during disasters like the current pandemic. Our team will also be working with Keri K. Stephens (Moody College of Communication at The University of Texas at Austin), Hemant Purohit (Information Science & Technology at George Mason University), and Steve Peterson (Volunteer Coordinator at Montgomery County Community Emergency Response Team). https://www.nsf.gov/awardsearch/showAward?AWD_ID=2029698

Critical Thinking in Times of Crisis
May 9, 2020 - Professor Hughes did an interview with the radio talk show Thinking Clearly. You can listen to the interview here: https://thinkingclearly.libsyn.com/website/46-critical-thinking-in-the-time-of-crisis

BYU crisis informatics expert offers three tips to avoid misinformation during COVID-19
School of Technology professor Amanda Hughes has spent her career studying social media during disasters and crises. Her work looks at how members of the public turn to social media during a crisis and how they find trustworthy information.
Read more: https://news.byu.edu/byu-crisis-informatics-expert-offers-three-tips-to-avoid-misinformation-during-covid-19
Read more: https://techxplore.com/news/2020-04-crisis-informatics-expert-misinformation-covid-.html


BYU crisis informatics expert provides three tips to avoid misinformation during COVID-19
During times of crisis, it has become normal for people to turn to social media for information, support and to find ways to help. BYU assistant professor Amanda Hughes has spent her career studying how people utilize social media during disasters and has seen it have both positive and negative aspects.
Read more: https://www.heraldextra.com/news/local/education/college/byu/byu-crisis-infomatics-expert-provides-three-tips-to-avoid-misinformation-during-covid-19/article_d82413e6-b0ba-5dd7-b421-fad9eb7faa28.html