Apex Magazine is a digital zine of dark short fiction. TABLE OF CONTENTS ORIGINAL SHORT FICTION "A Monster in the Shape of a Boy" by Hannah Yang "Shevitsa" by Koji A. Dae "Americana!" by Sam Asher The Fruit of the Princess Tree" by Sage Tyrtle "Hoodie" by Tonya Liburd "In the Monster's Mouth" by Tim Waggoner CLASSIC FICTION "Simbiyu and the Nameless" by Eugen Bacon "As the Sun Dies" by Jaym Gates NONFICTION "You in Your Headmeats" by Errick Nunnally "Mysterious Island" by Jeffrey Ford Book Review: Wendy, Darling by AC Wise (reviewed by Marie Croke) Book Review: Inheriting Her Ghosts by SH Cooper (reviewed by Tracy Robinson) INTERVIEWS Interview with Author Hannah Yang by Andrea Johnson Interview with Author Sam Asher by Andrea Johnson Interview with Cover Artist Reza Afshar by Bradley Powers

In this collection Sam Asher takes a hard, but often deeply moving look at a near-future dystopia, a time and place not too far from our present reality. He understands that with every supposed leap forward in technology there is a price to pay, a price that often involves a lessening of our humanity. As Jenny Williams, author of The Atlas of Forgotten Places, says, "This book will scoop out your insides and set them on fire. You'll hope it never ends."

The SHRUG is an open data platform describing multidimensional socioeconomic development across 600,000 villages and towns in India. This paper presents three illustrative analyses only possible with high-resolution data. First, it confirms that nighttime lights are highly significant proxies for population, employment, per-capita consumption, and electrification at very local levels. However, elasticities between night lights and these variables are far lower in time series than in cross section, and vary widely across context and level of aggregation. Next, this study shows that the distribution of manufacturing employment across villages follows a power law: the majority of rural Indians have considerably less access to manufacturing employment than is suggested by aggregate data. Third, a poverty mapping exercise explores local heterogeneity in living standards and estimates the potential targeting improvement from allocating programs at the village- rather than at the district-level. The SHRUG can serve as a model for open high-resolution data in developing countries.

Political favoritism affects the allocation of government resources, but is it consequential for growth? Using a close election regression discontinuity design and data from India, we measure the local economic impact of being represented by a politician in the ruling party. Favoritism leads to higher private sector employment, higher share prices of firms, and increased output as measured by night lights; the three effects are similar and economically substantive. Finally, we present evidence that politicians influence firms primarily through control over the implementation of regulation.

This study investigates a potential mechanism to promote coordination. With theoretical guidance using a belief-based learning model, we conduct a multi-period, binary-choice, and weakest-link laboratory coordination experiment to study the effect of gradualism - increasing the required levels (stakes) of contributions slowly over time rather than requiring a high level of contribution immediately - on group coordination performance. We randomly assign subjects to three treatments: starting and continuing at a high stake, starting at a low stake but jumping to a high stake after a few periods, and starting at a low stake while gradually increasing the stakes over time (the Gradualism treatment). We find that relative to the other two treatments, groups coordinate most successfully at high stakes in the Gradualism treatment. We also find evidence that supports the belief-based learning model. These findings point to a simple mechanism for promoting successful voluntary coordination.

How do investments in agricultural productivity translate into development and structural transformation? We estimate the long-run impacts of India's irrigation canals, which span 300,000+ km and deliver water to 130,000+ villages. Drawing on high-resolution data on every household, firm, village, and town in India, we use three empirical strategies to characterize the direct and spillover effects of large increases in agricultural productivity. Our findings are consistent with a spatial equilibrium model in which labor is mobile, and urban areas have non-farm productivity advantages. In the long run, areas directly treated by canal irrigation have sharply higher agricultural productivity and population density, but similar non-farm employment shares to non-canal areas. Persistent consumption gains accrue only to landowners and structural transformation occurs almost exclusively through the concentrated growth of regional towns. In the long run, the substantial productivity effects of canals were equilibrated through the movement of labor across space rather than within locations across sectors.

Managing the outbreak of COVID-19 in India constitutes an unprecedented health emergency in one of the largest and most diverse nations in the world. On May 4, 2020, India started the process of releasing its population from a national lockdown during which extreme social distancing was implemented. We describe and simulate an adaptive control approach to exit this situation, while maintaining the epidemic under control. Adaptive control is a flexible counter-cyclical policy approach, whereby different areas release from lockdown in potentially different gradual ways, dependent on the local progre of the dis- ease. Because of these features, adaptive control requires the ability to decrease or increase social distancing in response to observed and projected dynamics of the disease outbreak. We show via simulation of a stochastic Susceptible-Infected-Recovered (SIR) model and of a synthetic intervention (SI) model that adaptive control performs at least as well as immediate and full release from lockdown starting May 4 and as full release from lockdown after a month (i.e., after May 31). The key insight is that adaptive response provides the option to increase or decrease socioeconomic activity depending on how it affects disease progression and this freedom allows it to do at least as well as most other policy alternatives. We also discuss the central challenge to any nuanced release policy, including adaptive control, specifically learning how specific policies translate into changes in contact rates and thus COVID-19's reproductive rate in real time.

We study how natural resource rents affect the selection and behavior of holders of public office. Using global price shocks to thirty-one minerals and nationwide geological and political data from India, we show that local mineral rent shocks cause the election of criminal politicians. We also find a moral hazard effect: politicians commit more crimes and accumulate greater wealth when mineral prices rise during their term in office. These politicians have direct influence over mining operations but no access to fiscal windfalls from mining; we thus isolate the direct political impacts of mining sector operations.

Nearly one billion people worldwide live in rural areas without access to the paved road network. This paper measures the impacts of India's $40 billion national rural road construction program using regression discontinuity and data covering every individual and firm in rural India. The main effect of new feeder roads is to allow workers to obtain nonfarm work. However, there are no major changes in consumption, assets or agricultural outcomes. Nonfarm employment in the village expands only slightly, suggesting the new work is found outside of the village. Even with better market connections, remote areas may continue to lack economic opportunities.