Jasmine Kim on Muck Rack

Jasmine Kim

  • Technical Writer, Sendbird
New York
As seen in: Business Insider, CBS News, CNBC, Taylor & Francis Online, Business Insider India, WNBC-TV (New York, NY), Everyday Health, Pulse Nigeria, KNBC-TV (Los Angeles, CA), KXAS-TV (Fort Worth, TX) and
Technical/UX writer @SendBird | Ex-journalist @CNBC, @CBSNews and @techinsider video

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Articles

WATCH: Pop-ups become D.C.’s new path to storefronts

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By Jasmine Kim
| northwestern.edu
WASHINGTON — From a coffee cart inside the Cannon House Office Building to a pop-up inside a vintage clothing store, Washington entrepreneurs are rethinking how to start a business by turning to temporary setups instead of traditional storefronts. With commercial vacancy rates nearing 23 percent and federal spending cuts reshaping the District’s economy, many small business owners are starting with pop-ups as a lower-risk path to building permanent storefronts.
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Senators discuss new legislation on foreign financial gifts to American universities, amid national security concerns

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By Cate Bouvet, Jasmine Kim
| northwestern.edu
WASHINGTON — In a debate over the exploitation of American universities by foreign governments, the Senate Committee on Health, Education, Labor, and Pensions examined what lawmakers described as a “critical national security vulnerability” at Thursday’s hearing. Republicans argued that foreign governments, particularly China, are giving money to American universities to gain access to sensitive research, intellectual property and political influence on campuses.
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The Effect of a refutational text on K-1 students’ knowledge revision on a science topic

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By Hyejin Hwang, Kristin Burger, Jasmine Kim
| Taylor & Francis Online
ABSTRACT The current study examined the effects of read-aloud with a refutational text on knowledge revision, attitudes toward learning, and perceived value of learning about a science topic (birds) in kindergarten and first-grade students. Each K-1 student (n = 86) in eight classes was randomly assigned to either a refutational (n = 42) or standard informational (n = 44) text condition.
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