Applied Microeconomics and Trade Seminar Series presents: Matt Pecenco
Engineering 2 Engineering 2 1156 High Street, Santa Cruz, CAApplied Microeconomics and Trade Seminar: Matt Pecenco
Applied Microeconomics and Trade Seminar: Matt Pecenco
Applied Microeconomics and Trade Seminar: Giovanni Peri
Presenter: Dr. Saransh Sharma, Postdoctoral Scholar, MIT Description: Accurate in vivo localization of medical devices is central to applications ranging from ingestible pills in the GI tract to endovascular and minimally invasive procedures. However, current clinical methods rely on endoscopy or repeated ionizing imaging (CT/X-ray), and are poorly suited for continuous or out-of-hospital use. In […]
Have you ever wondered what it’s like to study abroad or participate in a domestic study away program? Join us for a virtual alumni panel where past participants of global learning programs will share their unique experiences, personal stories, and advice for making the most of your journey. This is your chance to ask questions, […]
Presented by: Linda Hirsch Description: “Games and playful interventions have been researched to increase awareness of climate change impacts and educate about mitigation and adaptation measures. However, besides increased awareness, what real-life impact and adapted behaviors can we actually observe from such interventions? In this talk, I will reflect on the differences between short-term […]
Macroeconomics and International Finance Seminar: Yuriy Gorodnichenko
Presenter: Joey Sankman, Analog/Power Designer, Analog Devices Description: With the rising interest in edge computing, and the addition of AI/ML functionality, nanopower circuits are in great demand to reduce the quiescent power consumption of remote sensors. In this tutorial, fundamental building blocks for nanopower circuits will be covered, including startup-less low-voltage references, low-frequency clocks, and […]
Presenter: Professor Andy Moore, UCSC Ocean Sciences Description: Linear inverse models have enjoyed considerable popularity in the geosciences, particularly in the arena of climate research and climate prediction, for several decades as a straightforward approach to dimension reduction and streamlining computational efficiency. The most common approach is to truncate the system by retaining the leading […]
Macroeconomics and International Finance Seminar: Helen Popper
Presenter: Peyman Milanfar, Distinguished Scientist, Google Description: Denoising, the process of reducing random fluctuations in a signal to emphasize essential patterns, has been a fundamental problem of interest since the dawn of modern scientific inquiry. Recent denoising techniques, particularly in imaging, have achieved remarkable success, nearing theoretical limits by some measures. Yet, despite tens of […]
Presenter: Suresh Jagganathan, Purdue University Abstract: Unlike program verifiers, symbolic execution and property-based testing tools underapproximate program behavior: they aim to report only real bugs (no false positives), at the cost of potentially missing some (false negatives). Recent work has sought to place such tools on a more formal footing, primarily through the development of incorrectness […]
Applied Microeconomics and Trade Seminar: Matt Weinberg
Presenter 1: Gali Bai, BME/PBSE Doctoral Candidate, Brooks Lab, UC Santa Cruz Title 1: Dissecting the contribution of chromatin accessibility to RNA transcription and processing with long-read sequencing Description: Although all cells in an organism share the same genomic sequence, transcriptional programs vary dramatically across cell types. This diversity is governed by epigenetic regulation involving […]
Economics Behavioral, Econometrics and Theory Seminar: Jacopo Magnani
Presenter: Andrew Myers, Cornell University Abstract: Modern civilization depends on complex, interconnected software systems that must safeguard trustworthy or private data. We have ever-growing mountains of code yet lack principled ways to build large systems that are secure. What is missing is a way to securely build these systems compositionally: module by module and layer […]
The Everett Program Presents: Envisioning Digital Justice Together | 7th Annual Project Showcase
This showcase aims to highlight the incredible work of our students, who have completed a year-long practicum conceptualizing and using digital technology to work with nonprofit organizations on social justice issues from climate justice to the racist impacts of the carceral state.
This year, Showcase is an event in which the audience can not only come together to support these wonderful students and their work, but to envision a range of digital futures together.
All are welcome! RSVP with the QR Code found on the poster 🙂
Presented by: Aswati Panicker Description: “In this talk, I draw on work in human-food interaction (HFI) to examine how food can serve as a rich interaction medium for connection and routine reconstruction in long-distance families. I highlight insights from three of my studies that explore this question across different technological forms. First, I discuss how families […]
Presenter: Dr. Truong Vu, IPAM and MSU Description: We present a framework for the gradient flow of sharp-interface surface energies that couple to embedded curvature active agents. We use a penalty method to develop families of locally incompressible gradient flows that couple interface stretching or compression to local flux of interfacial mass. We establish the […]
Presenter: Katja Hanack, Founder and CEO, New/Era/Mabs Description: Nanobodies combine remarkable simplicity with surprising power. Their small size allows them to reach targets that remain inaccessible to conventional antibodies, while maintaining high specificity and stability. Their compact architecture allows them to access targets that conventional antibodies cannot reach, yet they preserve the specificity and power […]
Presenter: Katie Schmidt, UQ & Optimization Group Leader, Lawrence Livermore National Laboratory Description: Due to the time and expense associated with physical experiments, there is significant interest in optimal selection of the conditions for future experiments. Selection based on reduction in parameter uncertainty provides a natural path forward. We consider this type of optimal sequential […]