Iowa Prison Population Forecast FY 2007-2017

CJJP takes a look at the forecast of inmates population in the state of Iowa in a ten year period. Information was produced by Division of Criminal and Juvenile Justice Planning. This report was made possible partially through funding from the U.S. Department of Justice, Bureau of Justice Statistics and its program for State Statistical Analysis Centers. Points of view or opinions expressed in this report are those of the Division of Criminal and Juvenile Justice Planning (CJJP), and do not necessarily reflect official positions of the U.S. Department of Justice.

Iowa Prison Population Forecast FY 2008-2018

CJJP takes a look at the forecast of inmates population in the state of Iowa in a ten year period. Information was produced by Division of Criminal and Juvenile Justice Planning. This report was made possible partially through funding from the U.S. Department of Justice, Bureau of Justice Statistics and its program for State Statistical Analysis Centers. Points of view or opinions expressed in this report are those of the Division of Criminal and Juvenile Justice Planning (CJJP), and do not necessarily reflect official positions of the U.S. Department of Justice.

Iowa Prison Population Forecast FY 2009-2019

CJJP takes a look at the forecast of inmates population in the state of Iowa in a ten year period. Information was produced by Division of Criminal and Juvenile Justice Planning. This report was made possible partially through funding from the U.S. Department of Justice, Bureau of Justice Statistics and its program for State Statistical Analysis Centers. Points of view or opinions expressed in this report are those of the Division of Criminal and Juvenile Justice Planning (CJJP), and do not necessarily reflect official positions of the U.S. Department of Justice.

Iowa Prison Population Forecast FY 2010-2020

CJJP takes a look at the forecast of inmates population in the state of Iowa in a ten year period. Information was produced by Division of Criminal and Juvenile Justice Planning. This report was made possible partially through funding from the U.S. Department of Justice, Bureau of Justice Statistics and its program for State Statistical Analysis Centers. Points of view or opinions expressed in this report are those of the Division of Criminal and Juvenile Justice Planning (CJJP), and do not necessarily reflect official positions of the U.S. Department of Justice.

Iowa Prison Population Forecast FY 2011-2021

CJJP takes a look at the forecast of inmates population in the state of Iowa in a ten year period. Information was produced by Division of Criminal and Juvenile Justice Planning. This report was made possible partially through funding from the U.S. Department of Justice, Bureau of Justice Statistics and its program for State Statistical Analysis Centers. Points of view or opinions expressed in this report are those of the Division of Criminal and Juvenile Justice Planning (CJJP), and do not necessarily reflect official positions of the U.S. Department of Justice.

An evolutionary perspective on self-organized division of labor in social insects

Division of labor is a complex phenomenon observed throughout nature. Theoretical studies have focused either on its emergence through self-organization mechanisms or on its adaptive consequences. We suggest that the interaction of self-organization, which undoubtedly characterizes division of labor in social insects, and evolution should be further explored. We review the factors empirically shown to influence task choice. In light of these factors, we review the most important self-organization and evolutionary models for division of labor and outline their advantages and limitations. We describe ways to unify evolution and self-organization in the theoretical study of division of labor and recent results in this area. Finally, we discuss some benchmarks and primary challenges of this approach.

Report on the Iowa State Prison Industries – Farms for the year ended June 30, 2012

Report on the Iowa State Prison Industries – Farms for the year ended June 30, 2012

Recidivism of State FY96 Prison Releases in Iowa, May 2001

Expanding on research first presented in the Iowa Board of Parole FY99 Annual Report, this report presents recidivism data on offenders released from Iowa prisons during State FY1996 (July 1, 1995 – June 30, 1996). The figures presented here differ from those included in last year’s report due to four changes in the study. First, this year’s research includes data on those released from work release facilities, who were inadvertently omitted last year. In addition, the current figures include an additional year of tracking, as a second round of “rapsheets” was obtained to detect recidivism occurring within the last year.2 Also enhancing this year’s report is the availability of national recidivism data through the Interstate Identification Index (III). Further, while last year’s data looked only at the first new offense following release, this year’s study examines the most serious new conviction, resulting in higher felony recidivism rates. One note of caution should be voiced concerning the use of out-of-state records. A review of these records suggests very incomplete disposition reporting in III from some other states. In examining these records, it was not unusual to find a string of serious arrests with no dispositions noted. It was tempting in these situations to conclude that there must have been a conviction at some point, but we have resisted that urge when presenting figures on new convictions. This report is not intended to be an all-encompassing review of recidivism. Rather, it is meant to provide an illustration of the types of recidivism data available on prison releases in Iowa. Readers interested in other analyses of the data are urged to contact CJJP with suggestions and requests.

Labor documental para programas de entretenimiento en las televisiones

Se presentan las diferentes áreas con las que han de contar las bases de datos para el control de la documentación audiovisual en el marco de la gestión, conservación y difusión de los programas de entretenimiento de las televisiones. Se muestran las áreas control, producción, emisión, descripción física, descriptores temáticos, geográficos, cronológicos, título, responsabilidad y localización. Además se presentan una serie de peculiaridades de difusión de dicha información. Igualmente se lleva a cabo una tipología de los programas que se realizan y producen en las empresas televisivas.

Evolution of self-organized division of labor in a response threshold model.

Division of labor in social insects is determinant to their ecological success. Recent models emphasize that division of labor is an emergent property of the interactions among nestmates obeying to simple behavioral rules. However, the role of evolution in shaping these rules has been largely neglected. Here, we investigate a model that integrates the perspectives of self-organization and evolution. Our point of departure is the response threshold model, where we allow thresholds to evolve. We ask whether the thresholds will evolve to a state where division of labor emerges in a form that fits the needs of the colony. We find that division of labor can indeed evolve through the evolutionary branching of thresholds, leading to workers that differ in their tendency to take on a given task. However, the conditions under which division of labor evolves depend on the strength of selection on the two fitness components considered: amount of work performed and on worker distribution over tasks. When selection is strongest on the amount of work performed, division of labor evolves if switching tasks is costly. When selection is strongest on worker distribution, division of labor is less likely to evolve. Furthermore, we show that a biased distribution (like 3:1) of workers over tasks is not easily achievable by a threshold mechanism, even under strong selection. Contrary to expectation, multiple matings of colony foundresses impede the evolution of specialization. Overall, our model sheds light on the importance of considering the interaction between specific mechanisms and ecological requirements to better understand the evolutionary scenarios that lead to division of labor in complex systems. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s00265-012-1343-2) contains supplementary material, which is available to authorized users.

Monthly Labor Force Data, December 2013

Monthly Labor Force Data report produced by the Iowa Workforce Development.

Monthly Labor Force Data, January 2014

Monthly Labor Force Data report produced by the Iowa Workforce Development.