Iowa Finance Authority Low-Income Housing Tax Credit Program 2011 Qualified Allocation Plan, November 29, 2010

As the Housing Credit Agency responsible for allocating Tax Credits in the State of Iowa, IFA must adopt a written Qualified Allocation Plan (QAP). The purpose of the QAP is to set forth the criteria that IFA will use in evaluating and monitoring Projects submitted to it by the Developer/Ownership Entity for consideration in making an allocation of Tax Credits. The Governor must approve the QAP after the public has had the opportunity to comment through a public hearing.

Iowa Finance Authority Low-Income Housing Tax Credit Program 2012 Qualified Allocation Plan, December 8, 2011

As the Housing Credit Agency responsible for allocating Tax Credits in the State of Iowa, IFA must adopt a written Qualified Allocation Plan (QAP). The purpose of the QAP is to set forth the criteria that IFA will use in evaluating and monitoring Projects submitted to it by the Developer/Ownership Entity for consideration in making an allocation of Tax Credits. The Governor must approve the QAP after the public has had the opportunity to comment through a public hearing.

Iowa Finance Authority Low-Income Housing Tax Credit Program 2013 Qualified Allocation Plan, October 9, 2012

As the Housing Credit Agency responsible for allocating Tax Credits in the State of Iowa, IFA must adopt a written Qualified Allocation Plan (QAP). The purpose of the QAP is to set forth the criteria that IFA will use in evaluating and monitoring Projects submitted to it by the Developer/Ownership Entity for consideration in making an allocation of Tax Credits. The Governor must approve the QAP after the public has had the opportunity to comment through a public hearing.

Iowa Finance Authority Low-Income Housing Tax Credit Program 2014 Qualified Allocation Plan, October 2, 2013

As the Housing Credit Agency responsible for allocating Tax Credits in the State of Iowa, IFA must adopt a written Qualified Allocation Plan (QAP). The purpose of the QAP is to set forth the criteria that IFA will use in evaluating and monitoring Projects submitted to it by the Developer/Ownership Entity for consideration in making an allocation of Tax Credits. The Governor must approve the QAP after the public has had the opportunity to comment through a public hearing.

Iowa Finance Authority Low-Income Housing Tax Credit Program 4% Qualified Allocation Plan, October 6, 2014

As the Housing Credit Agency responsible for allocating Tax Credits in the State of Iowa, IFA must adopt a written Qualified Allocation Plan (QAP). The purpose of the QAP is to set forth the criteria that IFA will use in evaluating and monitoring Projects submitted to it by the Developer/Ownership Entity for consideration in making an allocation of Tax Credits. The Governor must approve the QAP after the public has had the opportunity to comment through a public hearing.

Iowa Finance Authority Low-Income Housing Tax Credit Program 4% Qualified Allocation Plan, September 7, 2016

As the Housing Credit Agency responsible for allocating Tax Credits in the State of Iowa, IFA must adopt a written Qualified Allocation Plan (QAP). The purpose of the QAP is to set forth the criteria that IFA will use in evaluating and monitoring Projects submitted to it by the Developer/Ownership Entity for consideration in making an allocation of Tax Credits. The Governor must approve the QAP after the public has had the opportunity to comment through a public hearing.

Iowa Finance Authority Low-Income Housing Tax Credit Program 2015 9% Qualified Allocation Plan, October 6, 2014

As the Housing Credit Agency responsible for allocating Tax Credits in the State of Iowa, IFA must adopt a written Qualified Allocation Plan (QAP). The purpose of the QAP is to set forth the criteria that IFA will use in evaluating and monitoring Projects submitted to it by the Developer/Ownership Entity for consideration in making an allocation of Tax Credits. The Governor must approve the QAP after the public has had the opportunity to comment through a public hearing.

Iowa Finance Authority Low-Income Housing Tax Credit Program 2016 9% Qualified Allocation Plan, September 25, 2015

As the Housing Credit Agency responsible for allocating Tax Credits in the State of Iowa, IFA must adopt a written Qualified Allocation Plan (QAP). The purpose of the QAP is to set forth the criteria that IFA will use in evaluating and monitoring Projects submitted to it by the Developer/Ownership Entity for consideration in making an allocation of Tax Credits. The Governor must approve the QAP after the public has had the opportunity to comment through a public hearing.

Iowa Finance Authority Low-Income Housing Tax Credit Program 2017 9% Qualified Allocation Plan, September 23, 2016

As the Housing Credit Agency responsible for allocating Tax Credits in the State of Iowa, IFA must adopt a written Qualified Allocation Plan (QAP). The purpose of the QAP is to set forth the criteria that IFA will use in evaluating and monitoring Projects submitted to it by the Developer/Ownership Entity for consideration in making an allocation of Tax Credits. The Governor must approve the QAP after the public has had the opportunity to comment through a public hearing.

Credit spreads and monetary policy in a small open economy: an analysis of the colombian economy

This paper estimates Bejarano and Charry (2014)’s small open economy with financial frictions model for the Colombian economy using Bayesian estimation techniques. Additionally, I compute the welfare gains of implementing an optimal response to credit spreads into an augmented Taylor rule. The main result is that a reaction to credit spreads does not imply significant welfare gains unless the economic disturbances increases its volatility, like the disruption implied by a financial crisis. Otherwise its impact over the macroeconomic variables is null.

Constraint-Informed Information Systems in Space Management Utilization

Declarative techniques such as Constraint Programming can be very effective in modeling and assisting management decisions. We present a method for managing university classrooms which extends the previous design of a Constraint-Informed Information System to generate the timetables while dealing with spatial resource optimization issues. We seek to maximize space utilization along two dimensions: classroom use and occupancy rates. While we want to maximize the room use rate, we still need to satisfy the soft constraints which model students’ and lecturers’ preferences. We present a constraint logic programming-based local search method which relies on an evaluation function that combines room utilization and timetable soft preferences. Based on this, we developed a tool which we applied to the improvement of classroom allocation in a University. Comparing the results to the current timetables obtained without optimizing space utilization, the initial versions of our tool manages to reach a 30% improvement in space utilization, while preserving the quality of the timetable, both for students and lecturers.

Knockin' on Digital Doors. Dealing with online [dis]credit in an era of digital scientific inquiry

This chapter aims at presenting and discussing credible online recruitment eliciting techniques targeting scientific purposes adjusted to the digital age. Based on several illustrations conducted by the author within the framework of both quantitative and qualitative inquiries, this chapter critically explores the digital ethos in three main challenges faced when dealing with online recruitment for scientific purposes: entering the normality of the everyday life, entering the idiosyncrasy of multicultural lives, and entering the chaos of busy lives. By the end, a toolbox for establishing and evaluating (dis)credibility within online recruitment strategies is presented. Moreover, it is argued that success of data collection at the present time in online environments seems to rely as ever on internal factors of the communication process vis-à-vis e-mail content, design and related strategies.

The impact of SEPA in credit transfer payments: Evidence from the euro area

This paper analyses the effect of the implementation process of the Single Euro Payments Area (SEPA) project on credit transfer payments in euro area countries during the period between 2008 and 2013.

Load balancing for constraint solving with GPUs

Solving a complex Constraint Satisfaction Problem (CSP) is a computationally hard task which may require a considerable amount of time. Parallelism has been applied successfully to the job and there are already many applications capable of harnessing the parallel power of modern CPUs to speed up the solving process. Current Graphics Processing Units (GPUs), containing from a few hundred to a few thousand cores, possess a level of parallelism that surpasses that of CPUs and there are much less applications capable of solving CSPs on GPUs, leaving space for further improvement. This paper describes work in progress in the solving of CSPs on GPUs, CPUs and other devices, such as Intel Many Integrated Cores (MICs), in parallel. It presents the gains obtained when applying more devices to solve some problems and the main challenges that must be faced when using devices with as different architectures as CPUs and GPUs, with a greater focus on how to effectively achieve good load balancing between such heterogeneous devices.