A prelude in its broadest musical sense is an “opener” or introduction. Preludes can be the first movement of a suite, the first piece of a larger thematic concert, a fanfare, a standalone performance-the list goes on. Since the brass quintet literature has so many great arrangements, our program consists of all openers! We’ve selected pieces that span musical genres and time periods including baroque, romantic, American traditional, folk song, and swing.
EMS Graduate Student Brass Quintet
Tens of thousands of organisms, from insects to nematodes to fungi, are capable of coercing plants into producing novel structures called "galls". Galls serve as a source of nourishment for the inducer, while also protecting it from environmental and biotic threats. This talk will showcase the almost unbelievable complexity and diversity of these galls, while also presenting myriad unanswered questions about their structure and function.
Presenter: Andy Deans | Entomology
With the advent of large-scale biobanks, there are multiple “layers” of big data available (e.g., genomics, imaging, electronic health records). What are the most effective ways of integrating these layers to understand patterns among human diseases, especially when not all layers are measured on the same set of samples? Can we use the information gleaned to better predict risk of disease?
Presenter: Sudha Veturi | Biobehavioral Health and Statistics
With the advent of large-scale biobanks, there are multiple “layers” of big data available (e.g., genomics, imaging, electronic health records). What are the most effective ways of integrating these layers to understand patterns among human diseases, especially when not all layers are measured on the same set of samples? Can we use the information gleaned to better predict risk of disease?
Presenter: Sudha Veturi | Biobehavioral Health and Statistics
Due to unforeseen complications, there will not be a Millennium Café. We will return next Tuesday, April 25.
Suppose there is something you need to estimate or a hypothesis you need to test but due to ethical, technological, or practical limitations, you simply cannot collect the data you need. Let’s be honest, it’s probably because your paper is held up in peer review because a reviewer is asking about some potentially confounding factor that is impossible to measure. Regardless of why, what can you do about it? Besides giving up or making some unverifiable assumptions, are there rigorous solutions for statistical inference with limited data?
Presenter: Justin Silverman | College of IST