Human capital as a turnkey resource in resilience to cyclones and storm surges: Empirical evidence from coastal Bangladesh.

What are the best methods to build cyclone and storm resilience in a developing country? We examine the multiple resources that contribute to storm resilience in the highly vulnerable ecological context of coastal Bangladesh, finding that human capital is a critical turnkey resource that enables and facilitates the use of other resources in household responses to floods, storm surges and other cyclone damage. Drawing on a household survey of nine coastal villages in different ecological zones of coastal Bangladesh, we use principal component analysis (PCA) and multiple regression to identify four components of storm resilience and a human capital index that, along with other household resources, predicts resilience to storms and cyclones. We then use this human capital index as a policy tool to map the proportion of highly resilient households in these nine villages and identify additional methods for building a stronger understanding of storm resilience.

SDRQuerier: A Visual Querying Framework for Cross-National Survey Data Recycling.

Public opinion surveys constitute a widespread, powerful tool to study peoples' attitudes and behaviors from comparative perspectives. However, even global surveys can have limited geographic and temporal coverage, which can hinder the production of comprehensive knowledge. To expand the scope of comparison, social scientists turn to ex-post harmonization of variables from datasets that cover similar topics but in different populations and/or at different times. These harmonized datasets can be analyzed as a single source and accessed through various data portals. However, the Survey Data Recycling (SDR) research project has identified three challenges faced by social scientists when using data portals: the lack of capability to explore data in-depth or query data based on customized needs, the difficulty in efficiently identifying related data for studies, and the incapability to evaluate theoretical models using sliced data. To address these issues, the SDR research project has developed the SDRQuerier, which is applied to the harmonized SDR database. The SDRQuerier includes a BERT-based model that allows for customized data queries through research questions or keywords (Query-by-Question), a visual design that helps users determine the availability of harmonized data for a given research question (Query-by-Condition), and the ability to reveal the underlying relational patterns among substantive and methodological variables in the database (Query-by-Relation), aiding in the rigorous evaluation or improvement of regression models. Case studies with multiple social scientists have demonstrated the usefulness and effectiveness of the SDRQuerier in addressing daily challenges.

State investments in high-technology job growth.

Since the early 1970's state and local governments have launched an array of economic development programs designed to promote high-technology development. The question our analysis addresses is whether these programs promote long-term high-technology employment growth net of state location and agglomeration advantages. Proponents talk about an infrastructure strategy that promotes investment in public research and specialized infrastructure to attract and grow new high technology industries in specific locations, and a more decentralized entrepreneurial strategy that reinforces local agglomeration capacities by investing in new enterprises and products, promoting the development of local networks and partnerships. Our results support the entrepreneurial strategy, suggesting that state governments can accelerate high technology development by adopting market-supportive programs that complement private sector initiatives. In addition to positive direct benefits of technology deployment/transfer programs and SBIR programs, entrepreneurial programs affect change in high-technology employment in concert with existing locational and agglomeration advantages. Rural (i.e. low population density) states tend to benefit by technology development programs. Infrastructure strategy programs also facilitate high technology job growth in places where local advantages already exist. Our results suggest that critics of industrial policy are correct that high technology growth is organic and endogenous, yet state governments are able to "pick winners and losers" in ways that grow their local economy.