A calendar of upcoming free science, engineering, and math events in the greater Washington, D.C. area1. Most events are for a general audience or are for kids and families. Exceptions, e.g. NSF lectures or college colloquia, are noted.
|Date & Time
Air & Scare Outside (event link)
Event Description: The yearly National Annual Air & Space museum haloween event for kids. The Air & Scare will feature (points taken directly from (event page](https://airandspace.si.edu/events/air-and-scare-2021)):
Additional Information: Because of COVID, the event will be held outside and everyone over 2 years old must wear a face mask. See the event page for additional event guidlines
Location: National Air & Space Museum, Steven F. Udvar-Hazy center (14390 Air and Space Museum Pkwy, Chantilly, VA 20151, located near the Airport).
Centenial of a Pioneering Pilot: Bessie Coleman (event link)
Sponsor & Series: GE Aviation Lecture — National Air & Space Museum
Audience: General Audience
Event Description: Panel discussion on the life and career of Bessie Coleman, the first Black woman to earn a pilot's license. The panel is moderated by Lonnie Bunch (Secretary of the Smithsonian), Phillip Hart (educator, filmmaker, and educator), and Carole Hopson (pilot speaker, and author).
Abstract: "100 years ago Bessie Coleman became the first African American woman to earn her pilot’s license. In the 1920s she toured the U.S. as a barnstormer, entertaining crowds with her aerial aerobatics and inspiring contemporaries with her boundless determination to fly despite significant racial and gender prejudice. A champion of other early aviators, she planned to open a flight school for African Americans, a dream unfulfilled due to her untimely death in 1926."
"Coleman has been an inspiration and role model to generations of pilots and an enduring symbol of perseverance. Join us for a panel discussion celebrating Coleman’s centennial achievement, boundary-breaking life, and lasting legacy.
Location: The event will be held live on YouTube.
12:00pm - 1:30pm
From Seeing to Doing: Understanding and Interacting with the Real World (event link)
Sponsor & Series: National Science Foundation — Distinguished Lecture Series
Event Description: Computational and Information Science and Engineering (CISE) Distinguished Lecture
Abstract: (from Talk Abstract) "Visual intelligence is a cornerstone of intelligence, for both humans and machines. In this talk, I go over a number of research work by our group on the topics of visual perception and robotic learning. The guiding principle of our work is inspired by the Gibsonian belief that perceptual and robotic learning should be based on an ecology approach, solving tasks and problems approximating the real-world setting and scale."
Additional Information: (from Bio) "Dr. Fei-Fei Li is the inaugural Sequoia Professor in the Computer Science Department at Stanford University, and Co-Director of Stanford’s Human-Centered AI Institute. She served as the Director of Stanford’s AI Lab from 2013 to 2018. And during her sabbatical from Stanford from January 2017 to September 2018, she was Vice President at Google and served as Chief Scientist of AI/ML at Google Cloud. Dr. Fei-Fei Li obtained her B.A. degree in physics from Princeton in 1999 with High Honors, and her PhD degree in electrical engineering from California Institute of Technology (Caltech) in 2005. She joined Stanford in 2009 as an assistant professor. Prior to that, she was on faculty at Princeton University (2007 - 2009) and University of Illinois Urbana-Champaign (2005-2006)."
"Dr. Fei-Fei Li's current research interests include cognitively inspired AI, machine learning, deep learning, computer vision and AI+healthcare especially ambient intelligent systems for healthcare delivery. In the past she has also worked on cognitive and computational neuroscience. Dr. Li has published more than 200 scientific articles in top-tier journals and conferences, including Nature, PNAS, Journal of Neuroscience, CVPR, ICCV, NIPS, ECCV, ICRA, IROS, RSS, IJCV, IEEE-PAMI, New England Journal of Medicine, Nature Digital Medicine, etc. Dr. Li is the inventor of ImageNet and the ImageNet Challenge, a critical large-scale dataset and benchmarking effort that has contributed to the latest developments in deep learning and AI. In addition to her technical contributions, she is a national leading voice for advocating diversity in STEM and AI. She is co-founder and chairperson of the national non-profit AI4ALL aimed at increasing inclusion and diversity in AI education."
Location: Online (Zoom)
Viral Protein Dynamics (event link)
Sponsor & Series: PSW Science — PSW Lecture Series
Audience: General audience (12+)
Abstract: Information is not yet available.
Additional Information: Information is not yet available.
Location: Information is not yet available.
Microchip Accelerators: Laser-driven Particle Accelerator on a Silicon Chip (event link)
Sponsor & Series: PSW Science — PSW Lecture Series
Audience: General Audience (12+)
Abstract: "To reach the energies required to explore new regimes of physics, particle accelerators have to be extremely large. They are extremely complex, costly undertakings that require international support over long periods of time to build and to operate. The Large Hadron Collider, currently the world’s largest and most powerful accelerator, is 27 kilometers in circumference! And it required decades of planning, billions of dollars, coordination and cooperation of thousands of scientists, engineers and suppliers, and sustained support from a dozen countries. While the LHC has been and continues to be a great success, reaching substantially greater energies than it can achieve will be prohibitively difficult and costly with conventional accelerator technology. And current accelerator technologies are too large, cumbersome and expensive to provide the smaller-scale accelerators for uses in medicine and industry."
"A great deal of effort is being devoted to developing more compact, less expensive technologies. One approach is the dielectric laser accelerator (DLA). It uses an ultrafast IR laser to deliver energy to electrons inside a microchip-scale device. The approach has the potential to dramatically shrink particle accelerators, which would enable ultrafast tabletop electron diffraction and microscopy experiments and tunable x-ray sources. The approach also holds promise for the construction of particle accelerators for the exploration of physics beyond the reach of the LHC and other very large conventional accelerators under consideration."
"This lecture will describe an international effort that is now underway to develop a laser-driven accelerator integrated on a silicon photonics platform – 'accelerator on a chip'. It will describe the technology, what has been achieved to date and the prospects for further development in the near term and into the following decades."
Additional Information: (from website) "Robert L. Byer is William R. Kenan Professor in the Department of Applied Physics at Stanford University. He also is a member of the National Ignition Facility. In a long and distinguished career he has severed in many leadership roles, including, at Stanford, Vice Provost and Dean of Research, Chair of the Department of Applied Physics, Director of the Ginzton Laboratory and Director of the Hansen Experimental Physics Laboratory. He was a founding member and served as Chair of the California Council on Science and he served on the Air Force Scientific Advisory Board."
"Robert’s research focuses on lasers and nonlinear optics. His current research projects include the development of precision laser measurements to support the detection of gravitational waves and the development of laser accelerators 'on a chip'. He has made many contributions to laser science and technology, including the demonstration of the first tunable visible parametric oscillator, the development of the Q-switched unstable resonator Nd:YAG laser, remote sensing using tunable infrared sources, and precision spectroscopy using Coherent Anti Stokes Raman Scattering."
Location: Powell Auditorium, Cosmos Club. Located off Massachusetts Ave., a few blocks NW of Dupont Circle.