Pub. L. 111-117, div. D, tit. III, sec. 307

Pub. L. 111-117, div. D, tit. III, sec. 307

EnactedYear: 2009Length: 276 wordsOfficial source
Sec. 307. Section 14007 of division A of the American Recovery and Reinvestment Act of 2009 is amended—(1) by amending subsection (a)(3) to read as follows:“(3) Purpose of awards.—The Secretary shall make awards to eligible entities in order to identify, document, and bring to scale innovative best practices based on demonstrated success, to allow such eligible entities to—“(A) expand their work and serve as models for best practices; and“(B) work in partnership with the private sector and the philanthropic community.”;(2) in subsection (b)—(A) by redesignating paragraphs (1) through (4) as paragraphs (1)(A), (1)(B), (2), and (3), respectively;(B) in paragraph (1)(A), as so redesignated, by inserting “or” after the semicolon;(C) by amending paragraph (1)(B), as so redesignated, to read as follows:“(B) have demonstrated success in significantly increasing student academic achievement for all groups of students described in such section;”; and(D) in paragraph (3), as so redesignated, by striking “they have established partnerships” and inserting “it has established one or more partnerships”;(3) in subsection (c), by striking “paragraphs” and all that follows through “such requirements” and inserting “paragraphs (1)(A) or (1)(B) and (2) of subsection (b) if the nonprofit organization has a record of significantly improving student achievement, attainment, or retention and shall be considered to have met the requirements of subsection (b)(3) if it demonstrates that it will meet the requirement relating to private-sector matching”; and(4) by adding at the end a new subsection (d) to read as follows:“(d) Subgrants.—In the case of an eligible entity that is a partnership described in subsection (a)(1)(B), the partner serving as the fiscal agent may make subgrants to one or more of the other entities in the partnership.”.123 STAT. 3272
Pub. L. 111-117, div. D, tit. III, sec. 307 | Justis AI