Exploring the most important questions we face as we age.
Dr. Debra Whitman, Ph.D. is Executive Vice President and Chief Public Policy Officer, at AARP (https://www.aarp.org/) where she leads policy development, analysis and research, as well as global thought leadership supporting and advancing the interests of individuals age 50-plus and their families. She oversees AARP’s Public Policy Institute, AARP Research, Office of Policy Development and Integration, Thought Leadership, and AARP International.
Dr. Whitman is an authority on aging issues with extensive experience in national policy making, domestic and international research, and the political process. An economist, she is a strategic thinker whose career has been dedicated to solving problems affecting economic and health security, and other issues related to population aging.
Improving Global Resilience Against Emerging Infectious Threats — Dr. Nahid Bhadelia, MD — Founding Director, Center on Emerging Infectious Diseases (CEID), Boston University.
Dr. Nahid Bhadelia, MD, MALD is a board-certified infectious diseases physician who is the Founding Director of BU Center on Emerging Infectious Diseases (https://www.bu.edu/ceid/about-the-cen…) as well an Associate Professor at the BU School of Medicine. She served the Senior Policy Advisor for Global COVID-19 Response for the White House COVID-19 Response Team in 2022–2023, where she coordinated the interagency programs for global COVID-19 vaccine donations from the United States and was the policy lead for Project NextGen, $5B HHS program aimed at developing next generation vaccines and treatments for pandemic prone coronaviruses. She also served as the interim Testing Coordinator for the White House MPOX Response Team. She is the Director and co-founder of Biothreats Emergence, Analysis and Communications Network (BEACON), an open source outbreak surveillance program.
Between 2011–2021, Dr. Bhadelia helped develop and then served as the medical director of the Special Pathogens Unit (SPU) at Boston Medical Center, a medical unit designed to care for patients with highly communicable diseases, and a state designated Ebola Treatment Center. She was previously an associate director for BU’s maximum containment research program, the National Emerging Infectious Diseases Laboratories. She has provided direct patient care and been part of outbreak response and medical countermeasures research during multiple Ebola virus disease outbreaks in West and East Africa between 2014–2019. She was the clinical lead for a DoD-funded viral hemorrhagic fever clinical research unit in Uganda, entitled Joint Mobile Emerging Disease Intervention Clinical Capability (JMEDICC) program between 2017 and 2022. Currently, she is a co-director of Fogarty funded, BU-University of Liberia Emerging and Epidemic Viruses Research training program. She was a member of the World Health Organization(WHO)’s Technical Advisory Group on Universal Health and Preparedness Review (UHPR). She currently serves as a member of the National Academies Forum on Microbial Threats and previously served as the chair of the National Academies Workshop Committee for Potential Research Priorities to Inform Readiness and Response to Highly Pathogenic Avian Influenza A (H5N1) and member of the Ad Hoc Committee on Current State of Research, Development, and Stockpiling of Smallpox Medical Countermeasures.
Modern AI systems have fulfilled Turing’s vision of machines that learn and converse like humans, but challenges remain. A new paper highlights concerns about energy consumption and societal inequality while calling for more robust AI testing to ensure ethical and sustainable progress.
A perspective published on November 13 in Intelligent Computing, a Science Partner Journal, argues that modern artificial intelligence.
Artificial Intelligence (AI) is a branch of computer science focused on creating systems that can perform tasks typically requiring human intelligence. These tasks include understanding natural language, recognizing patterns, solving problems, and learning from experience. AI technologies use algorithms and massive amounts of data to train models that can make decisions, automate processes, and improve over time through machine learning. The applications of AI are diverse, impacting fields such as healthcare, finance, automotive, and entertainment, fundamentally changing the way we interact with technology.
A newly compiled dataset of nearly one billion images of auroras is helping researchers categorize—and perhaps ultimately anticipate—the Northern Lights.
In a market moving as quickly as AI, investors say that they aren’t looking for companies with technology moats, but rather those with proprietary data.
A new type of passenger plane will adopt a design that blends wings into the aircraft’s body, which its creators say will cut fuel consumption by 50% and reduce noise.
