Katherine Hoffmann Pham

252 posts

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Katherine Hoffmann Pham

Katherine Hoffmann Pham

@khof312

Researcher @UNGlobalPulse. Interested in mobility, migration / forced displacement, alternative big data sources, and digital trust. Opinions are my own.

Waltham, MA Katılım Mayıs 2011
1.9K Takip Edilen353 Takipçiler
Katherine Hoffmann Pham retweetledi
Matthew Salganik | @msalganik.bsky.social
Announcing the 2021 Summer Institutes in Computational Social Science. #SICSS is for grad students, post-docs & beginning faculty. Free for participants. @chris_bail and I are happy to tell you about all 20 locations. sicss.io [thread]
Matthew Salganik | @msalganik.bsky.social tweet media
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Katherine Hoffmann Pham
Katherine Hoffmann Pham@khof312·
@ChenshuoSun @MarkHu33309492 @hu_xiyang Agreed that creativity is important! But I think one of the most important applied skills is mapping the problem you want to address to the data you have. This requires domain expertise and listening to the client, + the technical skill to develop the right solution.
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Chenshuo Sun
Chenshuo Sun@ChenshuoSun·
What constitutes the daily job of a data scientist? How would you plan your career path if #DataScientist is your first job?
Chenshuo Sun tweet media
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Damon Jones
Damon Jones@nomadj1s·
Ok, let’s say you’ve neither written nor refereed a Diff-in-Diff paper in the last two yeasts. What are the key methodological papers I need to brush up on? #EconTwitter Didn’t someone put together a list?
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Rob Seamans
Rob Seamans@robseamans·
@abhishekn oof, I didn't see this quick enough. Let me know if/how I can get one of these!
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Abhishek Nagaraj
Abhishek Nagaraj@abhishekn·
I have three extra invites to the NBER economics of transportation virtual conference (conference.nber.org/sched/ETs20) -- organizers want to keep it relatively open without overwhelming their systems, so they've allowed each "participant" to invite three others. DM if you're interested!
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Katherine Hoffmann Pham retweetledi
Sean J. Taylor
Sean J. Taylor@seanjtaylor·
When you start your research project with a data set rather than a research question.
GIF
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Katherine Hoffmann Pham
Katherine Hoffmann Pham@khof312·
I spent months reading about machine learning for causal inference, trying to understand the difference between causal and descriptive or predictive models. TL;DR:
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