Mapping Stratification : the industry-occupationspace reveals the network structure ofinequality

Social stratification is determined not only by income, education, race, and gender, but also by an individuals job characteristics and their position in the industrial structure. Utilizing a dataset of 76.6 million Brazilian workers and methods from network science, we map the Brazilian Industry-Occupation Space (BIOS). The BIOS measures the extent to which 600 occupations co-appear in 585 industries, resulting in a complex network that shows how industrial-occupational communities provide important information on the network segmentation of society. Gender, race, education, and income are concentrated unevenly across the core-periphery structure of the BIOS. Moreover, we identify 28 industrial occupational communities from the BIOS network structure and report their contribution to total income inequality in Brazil. Finally, we quantify the relative poverty within these communities. In sum, the BIOS reveals how the coupling of industries and occupations contributes to mapping social stratification

Mapping Stratification : the industry-occupationspace reveals the network structure ofinequality

Social stratification is determined not only by income, education, race, and gender, but also by an individuals job characteristics and their position in the industrial structure. Utilizing a dataset of 76.6 million Brazilian workers and methods from network science, we map the Brazilian Industry-Occupation Space (BIOS). The BIOS measures the extent to which 600 occupations co-appear in 585 industries, resulting in a complex network that shows how industrial-occupational communities provide important information on the network segmentation of society. Gender, race, education, and income are concentrated unevenly across the core-periphery structure of the BIOS. Moreover, we identify 28 industrial occupational communities from the BIOS network structure and report their contribution to total income inequality in Brazil. Finally, we quantify the relative poverty within these communities. In sum, the BIOS reveals how the coupling of industries and occupations contributes to mapping social stratification

Elective cancer surgery in COVID-19-free surgical pathways during the SARS-CoV-2 pandemic: An international, multicenter, comparative cohort study

PURPOSE As cancer surgery restarts after the first COVID-19 wave, health care providers urgently require data to determine where elective surgery is best performed. This study aimed to determine whether COVID-19–free surgical pathways were associated with lower postoperative pulmonary complication rates compared with hospitals with no defined pathway. PATIENTS AND METHODS This international, multicenter cohort study included patients who underwent elective surgery for 10 solid cancer types without preoperative suspicion of SARS-CoV-2. Participating hospitals included patients from local emergence of SARS-CoV-2 until April 19, 2020. At the time of surgery, hospitals were defined as having a COVID-19–free surgical pathway (complete segregation of the operating theater, critical care, and inpatient ward areas) or no defined pathway (incomplete or no segregation, areas shared with patients with COVID-19). The primary outcome was 30-day postoperative pulmonary complications (pneumonia, acute respiratory distress syndrome, unexpected ventilation). RESULTS Of 9,171 patients from 447 hospitals in 55 countries, 2,481 were operated on in COVID-19–free surgical pathways. Patients who underwent surgery within COVID-19–free surgical pathways were younger with fewer comorbidities than those in hospitals with no defined pathway but with similar proportions of major surgery. After adjustment, pulmonary complication rates were lower with COVID-19–free surgical pathways (2.2% v 4.9%; adjusted odds ratio [aOR], 0.62; 95% CI, 0.44 to 0.86). This was consistent in sensitivity analyses for low-risk patients (American Society of Anesthesiologists grade 1/2), propensity score–matched models, and patients with negative SARS-CoV-2 preoperative tests. The postoperative SARS-CoV-2 infection rate was also lower in COVID-19–free surgical pathways (2.1% v 3.6%; aOR, 0.53; 95% CI, 0.36 to 0.76). CONCLUSION Within available resources, dedicated COVID-19–free surgical pathways should be established to provide safe elective cancer surgery during current and before future SARS-CoV-2 outbreaks

Elective Cancer Surgery in COVID-19-Free Surgical Pathways During the SARS-CoV-2 Pandemic: An International, Multicenter, Comparative Cohort Study.

PURPOSE: As cancer surgery restarts after the first COVID-19 wave, health care providers urgently require data to determine where elective surgery is best performed. This study aimed to determine whether COVID-19-free surgical pathways were associated with lower postoperative pulmonary complication rates compared with hospitals with no defined pathway. PATIENTS AND METHODS: This international, multicenter cohort study included patients who underwent elective surgery for 10 solid cancer types without preoperative suspicion of SARS-CoV-2. Participating hospitals included patients from local emergence of SARS-CoV-2 until April 19, 2020. At the time of surgery, hospitals were defined as having a COVID-19-free surgical pathway (complete segregation of the operating theater, critical care, and inpatient ward areas) or no defined pathway (incomplete or no segregation, areas shared with patients with COVID-19). The primary outcome was 30-day postoperative pulmonary complications (pneumonia, acute respiratory distress syndrome, unexpected ventilation). RESULTS: Of 9,171 patients from 447 hospitals in 55 countries, 2,481 were operated on in COVID-19-free surgical pathways. Patients who underwent surgery within COVID-19-free surgical pathways were younger with fewer comorbidities than those in hospitals with no defined pathway but with similar proportions of major surgery. After adjustment, pulmonary complication rates were lower with COVID-19-free surgical pathways (2.2% v 4.9%; adjusted odds ratio [aOR], 0.62; 95% CI, 0.44 to 0.86). This was consistent in sensitivity analyses for low-risk patients (American Society of Anesthesiologists grade 1/2), propensity score-matched models, and patients with negative SARS-CoV-2 preoperative tests. The postoperative SARS-CoV-2 infection rate was also lower in COVID-19-free surgical pathways (2.1% v 3.6%; aOR, 0.53; 95% CI, 0.36 to 0.76). CONCLUSION: Within available resources, dedicated COVID-19-free surgical pathways should be established to provide safe elective cancer surgery during current and before future SARS-CoV-2 outbreaks

Cities, networks, and knowledge spillovers

Economies grow as a result of new ideas enabling innovations that render existing technologies obsolete. Yet, explaining economic growth by using the growth of ideas just pushes the question a step further. If growth comes from new ideas, where do ideas come from? With the availability of new data sources on the inputs and outputs of innovation, we have started to build a fairly accurate description of our idea-producing machine. A picture emerges where ideas are cumulative, innovation relies on the ability of ecosystems to produce complex combinations of new ideas, and geography still poses a barrier for knowledge exchange. This work contributes to our understanding of innovation by documenting three stylized facts about knowledge creation: the type of knowledge matters for new companies, complex knowledge is better produced in large cities, and urban vibrancy can help enhance knowledge spillover. First, we document that when starting new ventures, knowledge about the industry is more important than knowledge about the occupations involved. Second, we find that complex economic activities tend to be disproportionately concentrated in large cities and that this concentration has been growing for the past one hundred and fifty years. Third, we use the staggered roll-out of state-level R&D tax credits in the US together with department-level publication data to measure the benefit to university researchers working in close physical proximity to private researchers. We find that urban vibrancy plays a role in increasing the spillover to academia. Our understanding of innovation used to be based on speculation built on anecdotes and stories of success. With the availability of new data sources and platforms that track different pieces of our idea-making machine, we are no longer restricted to study innovation by focusing only on the big winners. The first chapter focuses on how worker mobility can bring different types of knowledge to pioneer companies in Brazil. Using methods from network science to build indicators of knowledge relatedness, we explore the question: how does the success of entrepreneurial activities depend on the experience of a team? We measure the industry-, occupation-, and location-specific knowledge carried by workers from one establishment to the next, using a dataset summarizing the individual work history for an entire country. Our results show that hiring workers with industry-specific knowledge produces the largest and most significant boost in the survival and growth of new firms. This is particularly important for pioneer firms, which are firms operating in an industry that was not present in their region. Pioneers are of particular importance because the success of pioneers is the basic unit of regional economic diversification. The second chapter studies how the spatial concentration of economic activities depends on its knowledge complexity. Are economic activities that rely heavily on complex knowledge more concentrated? How has their concentration changed in the last decades? We find that complex economic activities, such as biotechnology, neurobiology, and semiconductors, concentrate disproportionately in a few large cities compared to less complex activities, such as apparel or paper manufacturing. We use multiple proxies to measure the complexity of activities, finding that complexity explains from 40% to 80% of the variance in urban concentration of occupations, industries, scientific fields, and technologies. Using historical patent data, we show that the spatial concentration of cutting-edge technologies has increased since 1850, suggesting a reinforcing cycle between the increase in the complexity of activities and urbanization. These findings suggest that the growth of spatial inequality may be connected to the increasing complexity of the economy. The third chapter explores the role of urban vibrancy in mediating knowledge spillover between two types of knowledge workers: private researchers and university researchers. Do university researchers benefit from private R&D? Does this benefit depend on the urban environment around them? Using the staggered roll-out of state-level R&D tax credits in the US together with department-level publication data, we measure the benefit to university researchers working in locations dense with related industry R&D. We use data on patents to calculate how exposed university researchers are to related private R&D, and data on the density of cafes and restaurants to build an index or urban vibrancy. We find that university researchers benefit from R&D tax credits only when located in areas dense with related industry R&D activity. More importantly, urban vibrancy increases the benefits from R&D tax credits when the academic department is located in areas dense with related industry R&D. These results highlight that although the urban environment can increase the positive externalities of investment in R&D, it cannot create innovation by itself. Understanding how ideas are created used to be based on speculation built on anecdotes and stories of success. With the availability of new data sources and platforms that track different pieces of the ideas-making machine, we are no longer restricted to study innovation by focusing only on the winners.Ph.D

How communication technologies impact the size and composition of human collective memory

Thesis: S.M., Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, 2016.Cataloged from PDF version of thesis.Includes bibliographical references (pages 77-80).The ability of humans to accumulate knowledge and information across generations is a defining feature of our species. This ability depends on factors that range from the psychological biases that predispose us to learn from skillful and prestigious people, to the development of technologies for recording and communicating information: from clay tablets to the Internet. How do these communication technologies affect the size and composition of our human collective memory? Here we use two datasets on historical characters to present empirical evidence documenting how communication technologies have shaped human collective memory. We show that changes in communication technologies, including the introduction of movable type printing and shorter forms of printed media-such as newspapers, journals, and pamphlets-were accompanied by sharp changes (or breaks) in the per-capita number of memorable biographies from a given time period found in 'current online and offline sources. Moreover, changes in technology, such as the introduction of.printing, film and radio, and television, coincide with sharp changes in the occupations of the individuals present in these biographical records. These two empirical facts provide evidence in support of theories arguing that communication technologies are more consequential to society than the messages transmitted through them. Finally, this thesis contributes an update to the Pantheon dataset that includes historical geocoded data. We hope this updated version of the Pantheon dataset will enable future work documenting the effect of new communication technologies in ancient and modern civilizations.by Cristian I. Jara-Figueroa.S.M

Knowledge Intensity and Gender Wage Gaps: Evidence from Linked Employer-Employee Data

Do knowledge intense jobs exhibit lower gender gaps in wages? Here we use a linked employeremployee dataset of the entire Brazilian formal labor force to study the relationship between gender wage gaps and the knowledge intensity of industries and occupations. We find that employees in high-skilled occupations and industries experience lower gender wage gaps, and that the effect of knowledge intensity is stronger when the demand for skilled labor is high and the supply of skilled labor is low. We also find evidence that the gender wage gap of skilled workers, but not that of unskilled workers, decreases when knowledge intense industries grow. These effects are robust to controlling for individual, occupation, sector, and location characteristics. To address endogeneity concerns, we use a Bartik instrument based on labor demand shocks. Together, these findings suggest that competition for skilled labor in knowledge intense industries contributes to the reduction of gender wage gaps

Patterns of richness of freshwater mollusks from Chile: predictions of its distribution based on null models

The freshwater mussels from Chile are characterized by a high percentage of endemism and a fragmented latitudinal diversity, which has been attributed to the features and geomorphological history sculpted by the hydrographic basins. In this work, a set of hypothesis under a macroecological approach is addressed, with the aim to explore environmental, topographic and hydrological factors that define the latitudinal distribution of this mussel group. In order to achieve this goal, Rapoport’s rule, geometrics limits and co-ocurrence were evaluated. In addition, we analyze the source and sink hypotheses through the nested analysis. We observed a noticeable mid-domain effect (MDE), where a major richness than expected was randomly observed between 40 and 41°S. The results revealed that the distribution pattern was not concordant with Rapoport’s rule (r = 0.123; p = 0.128). Regarding to historical dynamic of the distribution, the results show a significant nestedness pattern, suggesting a source-sink dynamic, that is, poorer communities are a subset of richer communities in species. According to the co-occurrence analysis, an aggregate pattern existed, suggesting potential regulatory mechanisms. The specific richness pattern is explained by the variable seasonality of the temperature with a variance percentage explained of 35%. The full model indicated that variables which characterize the heterogeneity of habitat (i.e. range, Shannon), water availability (i.e., precipitation, density of water bodies) and topography (i.e., altitude area available) jointly explain 40% of the variability of the observed richness. This study shows that the geographical distribution of mollusc richness is mainly explained by mainly climatic and topographical environmental components, as well as by the source-sink dynamics

Linking Economic Complexity, Institutions, and Income Inequality

A country's mix of products predicts its subsequent pattern of diversification and economic growth. But does this product mix also predict income inequality? Here we combine methods from econometrics, network science, and economic complexity to show that countries exporting complex products-as measured by the Economic Complexity Index-have lower levels of income inequality than countries exporting simpler products. Using multivariate regression analysis, we show that economic complexity is a significant and negative predictor of income inequality and that this relationship is robust to controlling for aggregate measures of income, institutions, export concentration, and human capital. Moreover, we introduce a measure that associates a product to a level of income inequality equal to the average GINI of the countries exporting that product (weighted by the share the product represents in that country's export basket). We use this measure together with the network of related products-or product space-to illustrate how the development of new products is associated with changes in income inequality. These findings show that economic complexity captures information about an economy's level of development that is relevant to the ways an economy generates and distributes its income. Moreover, these findings suggest that a country's productive structure may limit its range of income inequality. Finally, we make our results available through an online resource that allows for its users to visualize the structural transformation of over 150 countries and their associated changes in income inequality during 1963-2008. (C) 2017 Elsevier Ltd. All rights reserved