Data Science

Your PRISE Universe, 2021, at Harvard University, Tuesday, August 3, 2021:
prise_2021.pdf
A discussion of visualization, glue, glupyter, the Path to Newton, and the Prediction Project, with the Harvard PRISE (Program for Research in Science and Engineering) students, summer 2021. (AKA "Distinguished Speaker Lecture")
Chilloquium , at (Online only), Tuesday, May 4, 2021:
chilloquium.pdf
A discussion with Harvard's Society of Physics Students (unscripted). The small number of slides that were used to guide the discussion are posted here to make the links  embedded in them available. 
Male student standing in Harvard Yard, trying to navigate using limited instructions

Students Navigate Harvard Yard to Understand the History of Prediction - and Uncertainty

April 1, 2021

Harvard Yard becomes an outdoor classroom for Professor Alyssa Goodman's Spring 2021 GenEd Prediction  class, as 14 pairs of students try to navigate to a designated location using limited information and their own tuition - then make predictions about their own success by reporting their "estimated uncertainty". 

How did they do?    ...

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Michelle Ntampaka, Camille Avestruz, Steven Boada, Joao Caldeira, Jessi Cisewski-Kehe, Rosanne Di Stefano, Cora Dvorkin, August E. Evrard, Arya Farahi, Doug Finkbeiner, Shy Genel, Alyssa Goodman, and alia. 2019. “The Role of Machine Learning in the Next Decade of Cosmology.” Bulletin of the American Astronomical Society, 51, 14. Publisher's VersionAbstract
In recent years, machine learning (ML) methods have remarkably improved how cosmologists can interpret data. The next decade will bring new opportunities for data-driven cosmological discovery, but will also present new challenges for adopting ML methodologies and understanding the results. ML could transform our field, but this transformation will require the astronomy community to both foster and promote interdisciplinary research endeavors.
Milky Way

Astronomy Magazine Talks to the Team Who Discovered the Radcliffe Wave

December 1, 2020


Astronomy Magazine talks to the team from Harvard’s Radcliffe Institute for Advanced Study and Harvard-Smithsonian Center for Astrophysics (CfA) about their serendipitous discovery of the Radcliffe Wave, a massive interconnected stream of stellar nurseries, molecular clouds, and supernovae that snakes through the Milky Way galaxy - and how history, art and science came together to enable this paradigm-changing discovery.  Read the full article ...

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glue-ing Together the Universe, at Microsoft New England Research Division, Cambridge, MA , Friday, March 6, 2020:
wids_msr_glue_universe_2020.pdf

Astronomers have a long history of visualization. Going back only as far as Galileo, discoveries were made using sketches of celestial objects moving over time. Today, Astronomy inquiries can, and often do, make use of petabytes of data at once. Huge surveys are analyzed statistically to understand tiny fluctuations that hint at the fundamental nature of the Universe, and myriad data sets, from telescopes across the globe and in space are brought together to solve problems ranging from the nature of black holes to the structure of the Milky Way to the origins of planets like Earth. In...

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