Tootfinder

🚨 JOB ALERT 🚨
Are you are a mid- to late- career geoscientist w a background in geologic mapping, forest and watershed geology, or economic geology?
Do you have experience leading large scientific teams?
Do you enjoy building partnerships and strategic planning?
This job may be for you!
#geology
Branch Chief of Watershed and Climate Resiliency for the California …

Branch Chief - Watershed and Climate Resiliency
Looking to make a difference? Join our strong and mighty workforce. We offer benefits and growth opportunities and impact the lives of millions of Californians.

"Labour’s economic strategy, if it can be called a strategy, is based upon growth delivering the tax income needed to fund our public services, with limited tax increases and the hope of ‘trickle down’ from wide-ranging deregulation of finance and planning."
John McDonnell still hanging in there it seems. A forlorn hope? Or a careful programmatic tactic?
Wasting a glorious political opportunity – 1 year of Labour in Government. John McDonnell exclusive

Wasting a glorious political opportunity – 1 year of Labour in Government. John McDonnell exclusive.
"There is no way the Chancellor’s existing economic strategy will be able to address the scale of the deep-seated problems our society faces."

Techno-Economic Planning of Spatially-Resolved Battery Storage Systems in Renewable-Dominant Grids Under Weather Variability
Seyed Ehsan Ahmadi, Elnaz Kabir, Mohammad Fattahi, Mousa Marzband, Dongjun Li
https://arxiv.org/abs/2508.12526

Techno-Economic Planning of Spatially-Resolved Battery Storage Systems in Renewable-Dominant Grids Under Weather Variability
The ongoing energy transition is significantly increasing the share of renewable energy sources (RES) in power systems; however, their intermittency and variability pose substantial challenges, including load shedding and system congestion. This study examines the role of the battery storage system (BSS) in mitigating these challenges by balancing power supply and demand. We optimize the location, size, and type of batteries using a two-stage stochastic program, with the second stage involving …

Rational Miner Behaviour, Protocol Stability, and Time Preference: An Austrian and Game-Theoretic Analysis of Bitcoin's Incentive Environment
Craig Steven Wright
https://arxiv.org/abs/2506.20965

Rational Miner Behaviour, Protocol Stability, and Time Preference: An Austrian and Game-Theoretic Analysis of Bitcoin's Incentive Environment
This paper integrates Austrian capital theory with repeated game theory to examine strategic miner behaviour under different institutional conditions in blockchain systems. It shows that when protocol rules are mutable, effective time preference rises, undermining rational long-term planning and cooperative equilibria. Using formal game-theoretic analysis and Austrian economic principles, the paper demonstrates how mutable protocols shift miner incentives from productive investment to political…

Forecasting Climate Policy Uncertainty: Evidence from the United States
Donia Besher, Anirban Sengupta, Tanujit Chakraborty
https://arxiv.org/abs/2507.12276 https://

Forecasting Climate Policy Uncertainty: Evidence from the United States
Forecasting Climate Policy Uncertainty (CPU) is essential as policymakers strive to balance economic growth with environmental goals. High levels of CPU can slow down investments in green technologies, make regulatory planning more difficult, and increase public resistance to climate reforms, especially during times of economic stress. This study addresses the challenge of forecasting the US CPU index by building the Bayesian Structural Time Series (BSTS) model with a large set of covariates, i…

Urban-STA4CLC: Urban Theory-Informed Spatio-Temporal Attention Model for Predicting Post-Disaster Commercial Land Use Change
Ziyi Guo, Yan Wang
https://arxiv.org/abs/2508.08976 …

Urban-STA4CLC: Urban Theory-Informed Spatio-Temporal Attention Model for Predicting Post-Disaster Commercial Land Use Change
Natural disasters such as hurricanes and wildfires increasingly introduce unusual disturbance on economic activities, which are especially likely to reshape commercial land use pattern given their sensitive to customer visitation. However, current modeling approaches are limited in capturing such complex interplay between human activities and commercial land use change under and following disturbances. Such interactions have been more effectively captured in current resilient urban planning the…

Bridging Farm Economics and Landscape Ecology for Global Sustainability through Hierarchical and Bayesian Optimization
Kevin Bradley Dsouza, Graham Alexander Watt, Yuri Leonenko, Juan Moreno-Cruz
https://arxiv.org/abs/2508.06386

Bridging Farm Economics and Landscape Ecology for Global Sustainability through Hierarchical and Bayesian Optimization
Agricultural landscapes face the dual challenge of sustaining food production while reversing biodiversity loss. Agri-environmental policies often fall short of delivering ecological functions such as landscape connectivity, in part due to a persistent disconnect between farm-level economic decisions and landscape-scale spatial planning. We introduce a novel hierarchical optimization framework that bridges this gap. First, an Ecological Intensification (EI) model determines the economically opt…

Deep Spatial Neural Net Models with Functional Predictors: Application in Large-Scale Crop Yield Prediction
Yeonjoo Park, Bo Li, Yehua Li
https://arxiv.org/abs/2506.13017

Deep Spatial Neural Net Models with Functional Predictors: Application in Large-Scale Crop Yield Prediction
Accurate prediction of crop yield is critical for supporting food security, agricultural planning, and economic decision-making. However, yield forecasting remains a significant challenge due to the complex and nonlinear relationships between weather variables and crop production, as well as spatial heterogeneity across agricultural regions. We propose DSNet, a deep neural network architecture that integrates functional and scalar predictors with spatially varying coefficients and spatial rando…