Geolocated dataset of Chinese overseas development finance.

China is now the world's largest source of bilateral development finance and will likely continue to play a prominent role in sovereign lending through its multi-billion-dollar Belt and Road Initiative. This paper introduces major methodological enhancements in tracking this finance: the use of an original application programming interface (API) to gathers news in multiple languages; double-verification of every record to ensure every finance commitment has been formalized; and visual geo-location to trace the precise footprint of every project. The resulting dataset enables economic, environmental, and social analyses with high-precision spatial accuracy, as well as spatiotemporal monitoring by project stakeholders and enhanced planning by project managers.

Leveraging Big Data and Analytics to Improve Food, Energy, and Water System Sustainability.

With the world population projected to grow significantly over the next few decades, and in the presence of additional stress caused by climate change and urbanization, securing the essential resources of food, energy, and water is one of the most pressing challenges that the world faces today. There is an increasing priority placed by the United Nations (UN) and US federal agencies on efforts to ensure the security of these critical resources, understand their interactions, and address common underlying challenges. At the heart of the technological challenge is .

Predicting success in an undergraduate exercise science program using science-based admission courses.

Student success is an important focus within higher education as it relates to retention, progression, and graduation rates. Limited research exists examining the predictors of success within an undergraduate Exercise Science program. The purpose of this investigation was to examine the viability of an admission policy implemented within an undergraduate Exercise Science program as a method of predicting student success.

Characterizing the Spatial Determinants and Prevention of Malaria in Kenya.

The United Nations' Sustainable Development Goal 3 is to ensure health and well-being for all at all ages with a specific target to end malaria by 2030. Aligned with this goal, the primary objective of this study is to determine the effectiveness of utilizing local spatial variations to uncover the statistical relationships between malaria incidence rate and environmental and behavioral factors across the counties of Kenya. Two data sources are used-Kenya Demographic and Health Surveys of 2000, 2005, 2010, and 2015, and the national Malaria Indicator Survey of 2015.

Evidence of Skill and Strategy in Daily Fantasy Basketball.

Using hand-collected data from DraftKings.com, a major daily fantasy sports website, we analyze draft selections of thousands of participants in daily fantasy basketball (DFB). In our study, the first thorough examination of DFB, we show that DFB is a game in which skill is necessary for success.