Beyond the First Job: Career Ladder Initiatives in Information Technology Industries

In the past two decades, major growth drivers in the U.S. economy have included computers and software, information content such as broadcast entertainment, and advanced services and manufacturing that rely on information technology. This is particularly true in leading metropolitan agglomerations, where synergies between the global reach of communications systems and the local intensity of face-to-face communication are crucial to getting the most out of talent, entrepreneurial creativity, and productivity (Graham and Marvin 1996; Hall 1999; Sassen 2001). The polarity between information haves and have-nots in the most dynamic urban centers is stark, however. The digital divide creates or reinforces cultural distance among people who are geographically within a few miles of one another (Mitchell 1999; Servon 2002). Significantly, since it has as much to do with earning power as with access to information, the divide also reinforces income disparities among urbanites (Schön 1999; Hall 1999; National Telecommunications and Information Administration 2000)

Predictors of Employment Growth and Unemployment in U.S. Central Cities, 1990-2010

This paper considers employment growth and unemployment from 1990-2010 in a cross-section of cities in light of practical tools that city governments have at their disposal to provide relief. In particular, I test educational attainment (both initial levels and growth over time) and public capital investment as influences on job growth and changes in unemployment rates in 83 central cities in the United States. Change in educational attainment over time is suggestive of causing higher job growth and lower unemployment. The implication is that initiatives to attract and retain college-educated professionals and investments in increasing college attainment among incumbent residents have the potential to reduce joblessness and improve social welfare. Despite some evidence that public capital outlays led to employment growth and reduced unemployment in the 1990s, the overall association between capital outlays and labor market health is weak. Intergovernmental spending as part of the American Recovery and Reinvestment Act (ARRA), however, was found to have a positive effect on unemployment rates in 2009 and 2010. A relatively weak correlation between the two dependent variables used in the analysis—employment growth and unemployment rates—underscores the mitigating roles of migration and labor force participation in translating job creation into employment growth for members of the unemployed population

Reading rival union responses to the localization of technical work in the US telecommunications industry

Between the early 1970s and the late 1990s, the market repercussions of state deregulation, combined with technological change, sparked profound changes for employees in the heretofore highly unionized US telecommunications sector. The wholesale restructuring of the AT&T Bell System and the growth of competitor firms\u27 market share led to declines in union density, yawning wage disparities among people doing similar work, and increased casualization and insecurity for holders of both customer service and technical jobs in the industry. However, these trends have manifested themselves somewhat differently for customer service and technical workers. While employers have typically followed a strategy of consolidating and regionalizing customer service and clerical labor, a significant amount of technical work, specifically the installation and maintenance of telecommunications infrastructure on customers\u27 premises, has grown more fragmented, structured by local labor market conditions and institutions (see Batt and Keefe 1999, Keefe and Batt 2002)

Remaking New York City: Can Prosperity Be Shared and Sustainable?

Changes in the organization of global economic activity – in particular, the ascendance of services over manufacturing in global cities – have had a profound impact on labor, consumer, and real estate markets in New York City. New growth in service sectors has generated spectacular new wealth, and the city has firmly re-established itself as a capital of commerce and culture, after being ravaged by disinvestment and fiscal crisis in the 1960s and 70s. New York City\u27s contemporary economy is a vibrant one in many ways, but it is also a highly unequal one – one in which residents who are not part of the professional class (disproportionately immigrants and people of color) face increasing challenges. Mayor Michael Bloomberg\u27s administration has wholeheartedly embraced the shift from an industrial to a post-industrial economy, launching ground-level redevelopment strategies in over 20 neighborhoods (many tied to the proposal for the 2012 Olympics), which add up to a transformation of the physical city. These plans seek to open the city up for new commercial office and luxury housing development – through a mix of rezonings, subsidies, and infrastructure investments in public transportation, open space, culture, and spectacle. The public sector resources on which these plans lay claim are substantial – an estimated $20 billion in capital spending. The development that would result from these plans offers many benefits for the city\u27s future, including new jobs, a higher capture rate of high-end commercial and residential users, increased tax revenues, and enhanced public transportation and open space. The Bloomberg vision for New York City\u27s future is compelling in many respects: its focus on livability and public space, its high design standards, its acknowledgement that adaptation to a largely post-industrial economy is needed in land use planning, workforce development and economic development policy. But the vision also implies several assumptions with which we disagree. First, it equates real estate development with economic development. Second, it posits a future city that exists primarily for its most privileged residents, with too few real benefits of growth reaching the less-wealthy 80% of the population. The plans emanating from the current administration\u27s bold vision for New York are likely to amplify the inequalities embedded in the service-intensive economy and further drive up real estate values. As a result, they will displace additional low-income housing (thus increasing segregation) and additional viable manufacturing (thus reducing blue-collar job opportunities). Few corresponding gains (e.g. affordable housing, living wage jobs) are being offered for low- or moderate-income families. In addition, the environmental burdens of growth in an increasingly polarized city will continue to be borne disproportionately by low-income communities of color. Fortunately, the choice is not between inequitable growth and no growth. There are innovative strategies for utilizing planning and redevelopment tools – without abandoning most of the current plans – not only to generate prosperity, but to share it more equitably and to produce it more sustainably. Housing advocates, community organizations, labor unions, business groups, environmental/environmental justice groups, and advocacy/smart growth planners around the country are experimenting with new tools. Smartly applied, in combination, many of these tools could reshape proposed redevelopment plans to create more shared and sustainable prosperity in New York City

Building in Good Jobs: Linking Workforce Development with Real Estate-Led Economic Development

Municipal governments in the U.S. are increasingly devoting public resources to the redevelopment of abandoned, contaminated or underutilized land. Private sector appetite for new development opportunities and public sector creativity have combined to create building booms in a number of central cities that only a few decades ago were in seemingly irreversible decline. In the midst of this government-supported revitalization, however, both working poverty and chronic unemployment in central cities remain disturbingly high. Without explicit efforts to link property redevelopment with efforts to put un- or underemployed people to work at family-supporting wages, the negative impacts of growth (displacement, housing cost appreciation) often affect the historically disadvantaged far more profoundly than its positive impacts do

Pan-Cancer Analysis of lncRNA Regulation Supports Their Targeting of Cancer Genes in Each Tumor Context

Long noncoding RNAs (lncRNAs) are commonly dys-regulated in tumors, but only a handful are known toplay pathophysiological roles in cancer. We inferredlncRNAs that dysregulate cancer pathways, onco-genes, and tumor suppressors (cancer genes) bymodeling their effects on the activity of transcriptionfactors, RNA-binding proteins, and microRNAs in5,185 TCGA tumors and 1,019 ENCODE assays.Our predictions included hundreds of candidateonco- and tumor-suppressor lncRNAs (cancerlncRNAs) whose somatic alterations account for thedysregulation of dozens of cancer genes and path-ways in each of 14 tumor contexts. To demonstrateproof of concept, we showed that perturbations tar-geting OIP5-AS1 (an inferred tumor suppressor) andTUG1 and WT1-AS (inferred onco-lncRNAs) dysre-gulated cancer genes and altered proliferation ofbreast and gynecologic cancer cells. Our analysis in-dicates that, although most lncRNAs are dysregu-lated in a tumor-specific manner, some, includingOIP5-AS1, TUG1, NEAT1, MEG3, and TSIX, synergis-tically dysregulate cancer pathways in multiple tumorcontexts

Pan-cancer Alterations of the MYC Oncogene and Its Proximal Network across the Cancer Genome Atlas

Although theMYConcogene has been implicated incancer, a systematic assessment of alterations ofMYC, related transcription factors, and co-regulatoryproteins, forming the proximal MYC network (PMN),across human cancers is lacking. Using computa-tional approaches, we define genomic and proteo-mic features associated with MYC and the PMNacross the 33 cancers of The Cancer Genome Atlas.Pan-cancer, 28% of all samples had at least one ofthe MYC paralogs amplified. In contrast, the MYCantagonists MGA and MNT were the most frequentlymutated or deleted members, proposing a roleas tumor suppressors.MYCalterations were mutu-ally exclusive withPIK3CA,PTEN,APC,orBRAFalterations, suggesting that MYC is a distinct onco-genic driver. Expression analysis revealed MYC-associated pathways in tumor subtypes, such asimmune response and growth factor signaling; chro-matin, translation, and DNA replication/repair wereconserved pan-cancer. This analysis reveals insightsinto MYC biology and is a reference for biomarkersand therapeutics for cancers with alterations ofMYC or the PMN

Genomic, Pathway Network, and Immunologic Features Distinguishing Squamous Carcinomas

This integrated, multiplatform PanCancer Atlas study co-mapped and identified distinguishing molecular features of squamous cell carcinomas (SCCs) from five sites associated with smokin

Spatial Organization and Molecular Correlation of Tumor-Infiltrating Lymphocytes Using Deep Learning on Pathology Images

Beyond sample curation and basic pathologic characterization, the digitized H&E-stained images of TCGA samples remain underutilized. To highlight this resource, we present mappings of tumorinfiltrating lymphocytes (TILs) based on H&E images from 13 TCGA tumor types. These TIL maps are derived through computational staining using a convolutional neural network trained to classify patches of images. Affinity propagation revealed local spatial structure in TIL patterns and correlation with overall survival. TIL map structural patterns were grouped using standard histopathological parameters. These patterns are enriched in particular T cell subpopulations derived from molecular measures. TIL densities and spatial structure were differentially enriched among tumor types, immune subtypes, and tumor molecular subtypes, implying that spatial infiltrate state could reflect particular tumor cell aberration states. Obtaining spatial lymphocytic patterns linked to the rich genomic characterization of TCGA samples demonstrates one use for the TCGA image archives with insights into the tumor-immune microenvironment