In this interview series, we're meeting some of the AAAI/SIGAI Doctoral Consortium participants to find out more about their research. Ananya Joshi recently completed her PhD, where she developed a system that experts have used for the past two years to identify respiratory outbreaks (like COVID-19) in large-scale healthcare streams across the United States using her novel algorithms for ranking real-time events from large-scale time series data. In this interview, she tells us more about this project, how healthcare applications inspire basic AI research, and her future plans. When I started my PhD during the COVID-19 pandemic, there was an explosion in continuously-updated human health data. Still, it was difficult for people to figure out which data was important so that they could make decisions like increasing the number of hospital beds at the start of an outbreak or patching a serious data problem that would impact disease forecasting.

Social scientist Kasley Killam has always been fascinated by the science of human connection. In college, for instance, she once decided to conduct a personal experiment and perform an act of kindness everyday for 108 days. At the Harvard T.H. Chan School of Public Health, she researched solutions for loneliness. At Google's health spinoff, Verily, her job was to bring people together to promote social health. "I first came across the term'social health' during my research at Stanford, where I was developing an app around human connection," Killam says.

Research quality evaluation is important for departmental evaluations and academic career decisions. Unfortunately, the evaluators may not have time to fully read the work assessed and may instead rely on the reputation or Journal Impact Factor of the publishing journals, on the citation counts for individual articles, or on the reputation or career citations of the author. Whilst journal-based evidence is not optimal (Waltman & Traag, 2021), the main article-level indicator, citation counts, only directly reflects the scholarly impact of work and not its rigour, originality, and societal impacts (Aksnes, et al., 2019), all of which are relevant quality dimensions (Langfeldt et al., 2020). Moreover, article citation counts are ineffective for newer articles (Wang, 2013). In response, attempts to use Large Language Models (LLMs) to evaluate the quality of academic work have shown that ChatGPT quality scores are at least as effective as citation counts in most fields and substantially better in a few (Thelwall & Yaghi, 2024). Medicine is an exception, however, with ChatGPT research quality scores having a small negative correlation with the mean scores of the submitting department in the Research Excellence Framework (REF) Clinical Medicine Unit of Assessment (UoA) (Thelwall, 2024ab; Thelwall & Yaghi, 2024).

An amphibious, 'shape-shifting' drone has been created that's worthy of its own James Bond film. The'dual robot' drone, called MEDUSA (Multi-Environment Dual robot for Underwater Sample Acquisition), is able to fly through the air and land on water in order to quickly collect samples for scientific studies. It has a pod tethered to it that can be deployed underwater remotely at hard-to-reach aquatic environments. Engineers at Imperial College London use the drone to measure lake water for signs of microorganisms and algal blooms, which can pose hazards to human health. In the future, it could be used to monitor climate clues like temperature changes in Arctic seas.

An expert on the future of food responds to JoeAnn Hart's "Good Job, Robin." The first time I seriously considered crickets as the food of the future was in late 2015 during a presentation by undergraduates. Their policy proposal outlining how the adoption of insect protein in the Los Angeles Area could help insulate the region from some of the impacts of climate-change included a tasting of a recent-to-market, paleo-friendly, cricket-based protein bar. As I sunk my teeth into the slightly gummy, peanut-buttery bite being passed around the classroom, my mind flashed between the grim food futures presented in science fiction novels and the much smaller collection of hopeful fiction portrayals of delicious future feasts. What is it about our contemporary anxieties that makes it so easy to imagine such dystopic food futures?

JUPITER, Fla., Jan. 6, 2022 /PRNewswire-PRWeb/ -- Scheduled to broadcast spring/2022, the award-winning series, Advancements with Ted Danson, will discover how innovations in AI are helping employees to access, understand, and utilize their health benefits. In this segment, Advancements will explore why so many Americans lack an understanding about their healthcare benefits -- from complex rules to complicated, verbose verbiage. Viewers will learn about the many ways these complexities can negatively impact employees' health and well-being, productivity in the workplace, and ultimately, the U.S. workforce as a whole. Audiences will hear from experts at Insurights, an AI-powered startup on a mission to improve human health by giving people better access to their health benefits. The show will discover how developments in AI and technology present a solution for the industry as the Insurights team introduces Zoe, its digital healthcare navigator.

Expanded partnerships, access to clinical trials, and new medical and behavioral treatments and interventions reaching individuals more quickly will benefit communities in Pennsylvania and beyond thanks to the renewal of Penn State's Clinical and Translational Science Award (CTSA) funded by the National Institutes of Health (NIH). The NIH's National Center for Advancing Translational Sciences (NCATS) awarded Penn State more than $25 million to provide critical clinical and translational research infrastructure and continue building collaborations across the University's campuses and with communities around the state. NCATS' CTSA Program develops innovative solutions to improve processes for turning laboratory, clinical and community research into health knowledge, interventions and treatments. CTSA institutions partner to advance biomedical and health research and share best practices and tools. Penn State is one of 64 funded CTSA organizations nationally and is among the few that serve primarily rural communities.

PLEASANTON CA, Sept. 30, 2021 (GLOBE NEWSWIRE) -- The latest study titled "Global Artificial Intelligence in Manufacturing Market Ecosystem By Components; By Deployment; By Technology; By Application; By Device; By Region; By End Users (Logistics, Healthcare, Automotive, Retail, BFSI, Defence, Aerospace, Oil & Gas, Others) Forecast by 2027" published by AllTheResearch, features an analysis of the current and future scenario of the global Artificial Intelligence (AI) in Manufacturing Market. The Global Artificial Intelligence (AI) in Manufacturing Market was valued at USD 2.1 Bn in 2020 and is expected to reach USD 11.5 Bn by 2027, with a growing CAGR of 27.2% during the forecast period. The Artificial Intelligence in manufacturing market is forecasted to grow at a high rate owing to the accelerating innovations in industrial IoT and automation. The manufacturing industry is expected to be among the market leader in the artificial intelligence market. Further, the manufacturing industry is also expected to display the fastest growth during the forecast period due to rapid digital transformation to promote smart solutions in factories, logistics and management.

The inventions in Artificial Intelligence are thriving the pace of invention despite the existing pandemic. The year 2020 has surprised humans in many ways. From encountering a pandemic, addressing a global recession, and witnessing the global geopolitical changes, humanity is standing in ambiguous times. However, not everything is uncertain. Throughout the year, emerging technologies such as artificial intelligence, robotics, Internet of Things, and augmented/virtual reality, amongst others have spearheaded innovation with a promising future. These technologies have validated that despite the crisis, technology will transform the world.

The inventions in Artificial Intelligence are thriving the pace of invention despite the existing pandemic. The year 2020 has surprised humans in many ways. From encountering a pandemic, addressing a global recession, and witnessing the global geopolitical changes, humanity is standing in ambiguous times. However, not everything is uncertain. Throughout the year, emerging technologies such as artificial intelligence, robotics, Internet of Things, and augmented/virtual reality, amongst others have spearheaded innovation with a promising future.