Daniel E. Osgood
YOU?
Author Swipe
Farmers’ knowledge improves identification of drought impacts: A nationwide statistical analysis in Zambia Open
Climate adaptation policies rely on accurate estimates of weather-related impacts on community-level food insecurity. These estimates must capture local livelihoods and their varying sensitivity to climate extremes. This paper develops a n…
Climate variability through the lens of applied weather index insurance in Senegal-a novel perspective on the implications of decadal variation Open
Introduction Weather-based index insurance is a financial instrument which allows smallholder farmers to protect themselves against climate shocks such as droughts and floods. In many cases, insurance indices are based on one or more earth…
View article: Flood Event Extraction from News Media to Support Satellite-Based Flood Insurance
Flood Event Extraction from News Media to Support Satellite-Based Flood Insurance Open
Floods cause large losses to property, life, and livelihoods across the world every year, hindering sustainable development. Safety nets to help absorb financial shocks in disasters, such as insurance, are often unavailable in regions of t…
View article: A Framework to Assess Remote Sensing Algorithms for Satellite-Based Flood Index Insurance
A Framework to Assess Remote Sensing Algorithms for Satellite-Based Flood Index Insurance Open
Remotely sensed data have the potential to monitor natural hazards and their consequences on socioeconomic systems. However, in much of the world, inadequate validation data of disaster damage make reliable use of satellite data difficult.…
Enhancing Smallholder Wheat Yield Prediction through Sensor Fusion and Phenology with Machine Learning and Deep Learning Methods Open
Field-scale prediction methods that use remote sensing are significant in many global projects; however, the existing methods have several limitations. In particular, the characteristics of smallholder systems pose a unique challenge in th…
View article: Improving the design of climate insurance: combining empirical approaches and modelling
Improving the design of climate insurance: combining empirical approaches and modelling Open
Extreme weather due to climate change often disproportionately affects the weakest members of society. Agricultural insurance programs designed specifically for smallholders in developing countries are valuable tools that can help farmers …
The importance of co-design in satellite-derived drought risk financing Open
Several drought risk financing projects have been developed to strengthen the disaster resilience of the worlds vulnerable communities, countries and regions. Satellite-derived information plays a vital role to characterize historical and …
Games and Fieldwork in Agriculture: A Systematic Review of the 21st Century in Economics and Social Science Open
Games are particularly relevant for field research in agriculture, where alternative experimental designs can be costly and unfeasible. Games are also popular for non-experimental purposes such as recreating learning experiences and facili…
Framed Experiments and Games in Agriculture: A Systematic Review of the 21st Century in Economics and Social Science Open
Framed experiments and games are a useful medium to understand how context affects individual and group decision-making. They are particularly relevant for field research in agriculture, where alternative experimental designs can be costly…
Identifying Precipitation and Reference Evapotranspiration Trends in West Africa to Support Drought Insurance Open
West Africa represents a wide gradient of climates, extending from tropical conditions along the Guinea Coast to the dry deserts of the south Sahara, and it has some of the lowest income, most vulnerable populations on the planet, which in…
Perceptions of Farm Size Heterogeneity and Demand for Group Index Insurance Open
Weather insurance is a financial instrument proposed to increase coverage of unprotected weather shocks in developing countries. Structuring sales as group-based products has been argued as a strategy to increase the attractiveness of inde…
The Next Generation Drought Index Project Open
There is ample evidence about the added-value of anticipatory financing mechanism to mitigate the impact of extreme droughts on the livelihoods of vulnerable communities. Various projects have tried to optimize parametric insurance via dif…
Can disaster events reporting be used to drive remote sensing applications? A Latin America weather index insurance case study Open
A new data set was commissioned over Latin America with the goal of supporting decision‐making in various socioeconomic activities and, in particular, for climate insurance products. The Historical Database for Gridded Daily Precipitation …
Farmer Perception, Recollection, and Remote Sensing in Weather Index Insurance: An Ethiopia Case Study Open
A challenge in addressing climate risk in developing countries is that many regions have extremely limited formal data sets, so for these regions, people must rely on technologies like remote sensing for solutions. However, this means the …
What Rainfall Does Not Tell Us—Enhancing Financial Instruments with Satellite-Derived Soil Moisture and Evaporative Stress Open
Advanced parametric financial instruments, like weather index insurance (WII) and risk contingency credit (RCC), support disaster-risk management and reduction in the world’s most disaster-prone regions. Simultaneously, satellite data that…
Out-of-Town Buyers, Mispricing and the Availability Heuristic in a Housing Market Open
There is evidence that asymmetric information in the housing market between sellers and buyers is an important source of mispricing, especially when involving out-of-town buyers (Chinco and Mayer 2016, Kurlat and Stroebel 2015). In this pa…
Climate change adaptation in agriculture: practices and technologies. Messages to the SBSTA 44 agriculture workshops Open
In 2014 the United Nations Framework Convention on \nClimate Change (UNFCCC) Subsidiary Body for Scientific \nand Technological Advice (SBSTA), as part of its \nmandate to consider issues related to agriculture, decided \nto invite submiss…
Hierarchical Bayes models for daily rainfall time series at multiple locations from heterogenous data sources Open
We estimate a Hierarchical Bayesian models for daily rainfall that incorporates two novelties for estimating spatial and temporal correlations. We estimate the within site time series correlations for a particular rainfall site using multi…