School Closure in New York City

School districts and states have increasingly abandoned traditional school reform efforts in favor of simply closing low-performing schools. This movement reflects growing frustration among policymakers with the disappointing effects of previous school improvement policies, and the view that some schools may simply lack the capacity to undertake meaningful improvements. This paper focuses on arguably the most aggressive school closure policies in the nation--those in New York City. Over the past decade, New York City has closed over 100 schools. Using a longitudinal database of students and schools, I explore the implementation and effects of closure and reconstitution of middle schools in New York City, and assess the links between school closure and student academic development and behavior. My descriptive findings indicate that schools selected for closure have significantly lower school-average state test score exams and lower attendance rates compared to other middle schools for several years prior to closure, and that students who attend these schools are almost exclusively Hispanic and Black, more likely to come from low-income families, and more mobile than other middle school students in the district. I also find that students enter these middle schools already at a significant academic disadvantage. I examine characteristics of the reconstituted schools that replace the closed schools, and find that in terms of demographics, reconstituted schools enroll students similar to those served by the closed schools that they replaced. However, the reconstituted schools serve higher performing students with fewer absences and tardies in the year prior to enrolling in middle school. To assess the impact of school closure on student academic outcomes, I use propensity-score matching within a difference-in-differences framework. I find a small, positive effect of school closure on student test scores and rates of absences. As a robustness check, I conduct a second set of analyses using student fixed-effects models that produced similar results: students learn slightly less at chronically underperforming schools, compared to what would have happened had they attended an alternate school. School closure appears to be a somewhat effective in improving student academic outcomes. It is not clear, however, whether the policy is efficient given the small effects and the considerable disruption associated with the policy. Future research should examine the fiscal costs associated with closure, compared to costs of other policies with similar effects

Make Your Job Summer Program: A Report to the Network for Teaching Entrepreneurship

Make Your Job Summer Program condenses the material in NFTE's year-long high school curriculum into an intensive two-week course. Over the course of these two weeks, from 9-5 pm each day, students learn about businesses and entrepreneurship while simultaneously designing their business plans. At the end of the program, students present their business plans to a panel of judges to compete for seed money. At two of the 18 sites, NFTE also offered an 8- 10 week version of the program called Startup Summer. Startup Summer is for students who already participated in NFTE during the school year and takes the program a step further by helping them execute their business plans. Students in Startup Summer continue to receive support in launching their businesses into the school year. 378 students participated in the BizCamps and 77 participated in Startup Summer (at the Los Angeles and New York City sites). Although some sites had run NFTE-related summer programs in prior years, other sites were running the summer program for the first time. Two of these BizCamps (Girl Empower BizCamps) served female students exclusively.Our research examines both the impact and implementation of the program and considers:- the types of students who enrolled in the program and why;- how the students experienced the program;- the perceived match between program design and student backgrounds and abilities;- how staff understood the goals and expectations of the program;- the capacities and resources that supported implementation;- the challenges experienced in delivering the program; and- how the program was adapted across sites

New genetic loci link adipose and insulin biology to body fat distribution.

Body fat distribution is a heritable trait and a well-established predictor of adverse metabolic outcomes, independent of overall adiposity. To increase our understanding of the genetic basis of body fat distribution and its molecular links to cardiometabolic traits, here we conduct genome-wide association meta-analyses of traits related to waist and hip circumferences in up to 224,459 individuals. We identify 49 loci (33 new) associated with waist-to-hip ratio adjusted for body mass index (BMI), and an additional 19 loci newly associated with related waist and hip circumference measures (P < 5 × 10(-8)). In total, 20 of the 49 waist-to-hip ratio adjusted for BMI loci show significant sexual dimorphism, 19 of which display a stronger effect in women. The identified loci were enriched for genes expressed in adipose tissue and for putative regulatory elements in adipocytes. Pathway analyses implicated adipogenesis, angiogenesis, transcriptional regulation and insulin resistance as processes affecting fat distribution, providing insight into potential pathophysiological mechanisms

A genome-wide association search for type 2 diabetes genes in African Americans.

African Americans are disproportionately affected by type 2 diabetes (T2DM) yet few studies have examined T2DM using genome-wide association approaches in this ethnicity. The aim of this study was to identify genes associated with T2DM in the African American population. We performed a Genome Wide Association Study (GWAS) using the Affymetrix 6.0 array in 965 African-American cases with T2DM and end-stage renal disease (T2DM-ESRD) and 1029 population-based controls. The most significant SNPs (n = 550 independent loci) were genotyped in a replication cohort and 122 SNPs (n = 98 independent loci) were further tested through genotyping three additional validation cohorts followed by meta-analysis in all five cohorts totaling 3,132 cases and 3,317 controls. Twelve SNPs had evidence of association in the GWAS (P<0.0071), were directionally consistent in the Replication cohort and were associated with T2DM in subjects without nephropathy (P<0.05). Meta-analysis in all cases and controls revealed a single SNP reaching genome-wide significance (P<2.5×10(-8)). SNP rs7560163 (P = 7.0×10(-9), OR (95% CI) = 0.75 (0.67-0.84)) is located intergenically between RND3 and RBM43. Four additional loci (rs7542900, rs4659485, rs2722769 and rs7107217) were associated with T2DM (P<0.05) and reached more nominal levels of significance (P<2.5×10(-5)) in the overall analysis and may represent novel loci that contribute to T2DM. We have identified novel T2DM-susceptibility variants in the African-American population. Notably, T2DM risk was associated with the major allele and implies an interesting genetic architecture in this population. These results suggest that multiple loci underlie T2DM susceptibility in the African-American population and that these loci are distinct from those identified in other ethnic populations

Promoting students’ informal inferential reasoning through arts-integrated data literacy education

PurposeArts-integration is a promising approach to building students’ abilities to create and critique arguments with data, also known as informal inferential reasoning (IIR). However, differences in disciplinary practices and routines, as well as school organization and culture, can pose barriers to subject integration. We describe synergies and tensions between data science and the arts, and how these can create or constrain opportunities for learners to engage in IIR.Design/methodology/approachWe co-designed and implemented four arts-integrated data literacy units with 10 teachers of arts and mathematics in middle school classrooms from four different schools in the United States. Our data include student-generated artwork and their written rationales, and interviews with teachers and students. Through maximum variation sampling, we identified examples from our data to illustrate disciplinary synergies and tensions that appeared to support different IIR processes among students.FindingsAspects of artistic representation, including embodiment, narrative, and visual image; and aspects of the culture of arts, including an emphasis on personal experience, the acknowledgement of subjectivity, and considerations for the audience’s perspective, created synergies and tensions that both offered and hindered opportunities for IIR (i.e., going beyond data, using data as evidence, and expressing uncertainty). Originality/valueThis study answers calls for humanistic approaches to data literacy education. It contributes an interdisciplinary perspective on data literacy that complements other context-oriented perspectives on data science. This study also offers recommendations for how designers and educators can capitalize on synergies and mitigate tensions between domains to promote successful IIR in arts-integrated data literacy education

Tensions and synergies in arts‐integrated data literacy instruction: Reflections on four classroom implementations

Data-art inquiry is an arts-integrated approach to data literacy learning that reflects the multidisciplinary nature of data literacy not often taught in school contexts. By layering critical reflection over conventional data inquiry processes, and by supporting creative expression about data, data-art inquiry can support students' informal inference-making by revealing the role of context in shaping the meaning of data, and encouraging consideration of the personal and social relevance of data. Data-art inquiry additionally creates alternative entry points into data literacy by building on learners' non-STEM interests. Supported by technology, it can provide accessible tools for students to reflect on and communicate about data in ways that can impact broader audiences. However, data-art inquiry instruction faces many barriers to classroom implementation, particularly given the tendency for schools to structure learning with disciplinary silos, and to unequally prioritize mathematics and the arts. To explore the potential of data-art inquiry in classroom contexts, we partnered with arts and mathematics teachers to co-design and implement data-art inquiry units. We implemented the units in four school contexts that differed in terms of the student population served, their curriculum priorities, and their technology infrastructure. We reflect on participant interviews, written reflections, and classroom data, to identify synergies and tensions between data literacy, technology, and the arts. Our findings highlight how contexts of implementation shape the possibilities and limitations for data-art inquiry learning. To take full advantage of the potential for data-art inquiry, curriculum design should account for and build on the opportunities and constraints of classroom contexts

Cultivating Critical, Justice-Oriented Data Literacies in a Post-Truth World

Canad