andrew_gelman_stats andrew_gelman_stats-2010 andrew_gelman_stats-2010-412 knowledge-graph by maker-knowledge-mining
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Introduction: Chris Wiggins writes of an interesting-looking summer program that undergraduate or graduate students can apply to: The hackNY Fellows program is an initiative to mentor the next generation of technology innovators in New York, focusing on tech startups. Last summer’s class of fellows was paired with NYC startups which demonstrated they could provide a mentoring environment (a clear project, a person who could work with the Fellow, and sufficient stability to commit to 10 weeks of compensation for the Fellow). hackNY, with the support of the Kauffman foundation and the Internet Society of New York, provided shared housing in NYU dorms in Union Square, and organized a series of pedagogical lectures. hackNY was founded by Hilary Mason, chief scientist at bit.ly, Evan Korth, professor of CS at NYU, and Chris Wiggins, professor of applied mathematics at Columbia. Each of us has spent thousands of student-hours teaching and mentoring, and is committed to help build a strong communi
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1 Chris Wiggins writes of an interesting-looking summer program that undergraduate or graduate students can apply to: The hackNY Fellows program is an initiative to mentor the next generation of technology innovators in New York, focusing on tech startups. [sent-1, score-1.243]
2 Last summer’s class of fellows was paired with NYC startups which demonstrated they could provide a mentoring environment (a clear project, a person who could work with the Fellow, and sufficient stability to commit to 10 weeks of compensation for the Fellow). [sent-2, score-0.876]
3 hackNY, with the support of the Kauffman foundation and the Internet Society of New York, provided shared housing in NYU dorms in Union Square, and organized a series of pedagogical lectures. [sent-3, score-0.264]
4 hackNY was founded by Hilary Mason, chief scientist at bit. [sent-4, score-0.173]
5 ly, Evan Korth, professor of CS at NYU, and Chris Wiggins, professor of applied mathematics at Columbia. [sent-5, score-0.178]
6 Each of us has spent thousands of student-hours teaching and mentoring, and is committed to help build a strong community of technological innovators here in New York. [sent-6, score-0.382]
7 Applicants should be able to demonstrate proficiency in coding, in any language of their choosing, and a desire to find out more about NYC’s rapidly-growing tech startup ecosystem. [sent-7, score-0.337]
8 We strive to find excellent placements in a variety of fields, including front end (e. [sent-8, score-0.085]
9 , data science), and UIUX (user interface and user experience). [sent-12, score-0.197]
10 The deadline to apply is 11:59 pm on Sunday December 5 (NYC time). [sent-13, score-0.311]
11 For information about last year’s program, we encourage you to skim the list of activities from last year, which includes links to many of the blog entries, or to consult the press page . [sent-15, score-0.364]
12 for coverage in the media about the summer Fellows program as well as our once-per-semester hackathons. [sent-16, score-0.371]
13 org with any questions, or to contact us individually at {hilary,evan,chris}@hackNY. [sent-18, score-0.079]
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Introduction: Chris Wiggins writes of an interesting-looking summer program that undergraduate or graduate students can apply to: The hackNY Fellows program is an initiative to mentor the next generation of technology innovators in New York, focusing on tech startups. Last summer’s class of fellows was paired with NYC startups which demonstrated they could provide a mentoring environment (a clear project, a person who could work with the Fellow, and sufficient stability to commit to 10 weeks of compensation for the Fellow). hackNY, with the support of the Kauffman foundation and the Internet Society of New York, provided shared housing in NYU dorms in Union Square, and organized a series of pedagogical lectures. hackNY was founded by Hilary Mason, chief scientist at bit.ly, Evan Korth, professor of CS at NYU, and Chris Wiggins, professor of applied mathematics at Columbia. Each of us has spent thousands of student-hours teaching and mentoring, and is committed to help build a strong communi
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Introduction: Juan-Pablo Velez writes: I’m helping with a Data Science for Social Good summer fellowship program at the University of Chicago. The goal is to train data scientists that can tackle problems in education, healthcare, energy, transportation, and more. Working with full-time mentors from academia, industry, and the Obama campaign , fellows will build high-impact analytics projects using statistics, machine learning, data mining, and big data technologies. For fellows, we’re looking for grad students, advanced undergrads, and professionals in computer science, machine learning, statistics, and the computational and quantitative sciences. For mentors, we’re looking for folks with practical data science experience. Fellows and mentors will be paid competitively and housed in Chicago for duration of the program, from early June to late August. Rayid Ghani , former Chief Scientist of the Obama 2012 campaign, is leading the program. Eric Sch
Introduction: (1) Hop the Q-Train ! That is, the Columbia/NYU Quantitative Training Program, funded by the Institute of Education Sciences to create a cohort of postdoctoral scholars both to develop the new statistical methods required to meet future research challenges and to effectively train and consult with other education researchers. You’ll be working with Jennifer Hill, Marc Scott, and me on our exciting research projects, some of which are here ! Candidates must be United States citizens or permanent residents. For best consideration applications must be submitted before 15 Nov 2012. Please direct administrative inquiries to Jonathan Winters at jonathan.winters@nyu.edu and substantive inquiries to Jennifer or me. (2) The Earth Institute Postdoctoral Fellows program ! Every year a select group of recent Ph.D.s in a variety of fields come to the Earth Institute for this two-year research fellowship. I’d love to see more statisticians applying. To apply, candidates must compl
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Introduction: Two positions open in the statistics group at the NYU education school. If you get the job, you get to work with Jennifer HIll! One position is a postdoctoral fellowship, and the other is a visiting professorship. The latter position requires “the demonstrated ability to develop a nationally recognized research program,” which seems like a lot to ask for a visiting professor. Do they expect the visiting prof to develop a nationally recognized research program and then leave it there at NYU after the visit is over? In any case, Jennifer and her colleagues are doing excellent work, both applied and methodological, and this seems like a great opportunity.
Introduction: About 12 years ago Greg Wawro, Sy Spilerman, and I started a M.A. program here in Quantitative Methods in Social Sciences, jointly between the departments of history, economics, political science, sociology, psychology, and statistics. We created a bunch of new features for the program, including an interdisciplinary course based on this book . And here’s their new logo: Don’t blame me for the pie-chart motif! Seriously, though, the program is great. I’m proud to have gotten it started, and I’m impressed by the progress that Chris Weiss and others have made in expanding the program during the past decade.
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Introduction: David Ebert sends this along: Purdue University School of ECE Faculty Position in Human-Centered Computing The School of Electrical and Computer Engineering at Purdue University invites applications for a faculty position at any level in human-centered computing, including but not limited to visualization, visual analytics, human-computer interaction (HCI), imaging, and graphics. . . . Applications should consist of a cover letter, a CV, research and teaching statements, names and contact information for at least three references, and URLs for three to five online papers. . . . We will consider applications through March 2013. It’s great to see this sort of thing. P.S. Amusingly enough, the Purdue Visualization and Analytics Center has an ugly, bureaucratic, text-heavy webpage . Not that I’m one to talk, the Columbia stat dept has an ugly webpage too (although I think we’ll be switching soon to something better).
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Introduction: This might interest some of you: CALL FOR ABSTRACTS Workshop for Women in Machine Learning Co-located with NIPS 2013, Lake Tahoe, Nevada, USA December 5, 2013 http://www.wimlworkshop.org Deadline for abstract submissions: September 16, 2013 WORKSHOP DESCRIPTION The Workshop for Women in Machine Learning is a day-long event taking place on the first day of NIPS. The workshop aims to showcase the research of women in machine learning and to strengthen their community. The event brings together female faculty, graduate students, and research scientists for an opportunity to connect, exchange ideas, and learn from each other. Underrepresented minorities and undergraduates interested in pursuing machine learning research are encouraged to participate. While all presenters will be female, all genders are invited to attend. Scholarships will be provided to female students and postdoctoral attendees with accepted abstracts to partially offset travel costs. Workshop
Introduction: One thing we do here at the Applied Statistics Center is hold mini-conferences. The next one looks really cool. It’s organized by Sharad Goel and Jake Hofman (Microsoft Research, formerly at Yahoo Research), David Park (Columbia University), and Sergei Vassilvitskii (Google). As with our other conferences, one of our goals is to mix the academic and nonacademic research communities. Here’s the website for the workshop, and here’s the announcement from the organizers: With an explosion of data on every aspect of our everyday existence — from what we buy, to where we travel, to who we know — we are able to observe human behavior with granularity largely thought impossible just a decade ago. The growth of such online activity has further facilitated the design of web-based experiments, enhancing both the scale and efficiency of traditional methods. Together these advances have created an unprecedented opportunity to address longstanding questions in the social sciences, rang
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