Adaptive Learning for the Resource-Constrained Classification Problem

Resource-constrained classification tasks are common in real-world applications such as allocating tests for disease diagnosis, hiring decisions when filling a limited number of positions, and defect detection in manufacturing settings under a limited inspection budget. Typical classification algorithms treat the learning process and the resource constraints as two separate and sequential tasks. Here we design an adaptive learning approach that considers resource constraints and learning jointly by iteratively fine-tuning misclassification costs. Via a structured experimental study using a publicly available data set, we evaluate a decision tree classifier that utilizes the proposed approach. The adaptive learning approach performs significantly better than alternative approaches, especially for difficult classification problems in which the performance of common approaches may be unsatisfactory. We envision the adaptive learning approach as an important addition to the repertoire of techniques for handling resource-constrained classification problems

Essays In Algorithmic Market Design Under Social Constraints

Rapid technological advances over the past few decades---in particular, the rise of the internet---has significantly reshaped and expanded the meaning of our everyday social activities, including our interactions with our social circle, the media, and our political and economic activities This dissertation aims to tackle some of the unique societal challenges underlying the design of automated online platforms that interact with people and organizations---namely, those imposed by legal, ethical, and strategic considerations. I narrow down attention to fairness considerations, learning with repeated trials, and competition for market share. In each case, I investigate the broad issue in a particular context (i.e. online market), and present the solution my research offers to the problem in that application. Addressing interdisciplinary problems, such as the ones in this dissertation, requires drawing ideas and techniques from various disciplines, including theoretical computer science, microeconomics, and applied statistics. The research presented here utilizes a combination of theoretical and data analysis tools to shed light on some of the key challenges in designing algorithms for today\u27s online markets, including crowdsourcing and labor markets, online advertising, and social networks among others

Open Space Acquisitions and Management Opportunities in the City of Atlanta and Adjacent Jurisdictions

The great cities of the world are distinguished by their public parks. The urban fabric of New York, Barcelona, Berlin, Moscow, Paris, Rome, Sydney, and Shanghai are all woven around great parks. Yet, with all of Atlanta's outstanding achievements, the City and the region have a notably undistinguished park system. In a study conducted by the Trust for Public Land and the Urban Land Institute, Atlanta ranks near the bottom of the nation's largest 25 cities in acreage of parkland per capita with 7.3 acres for every 1,000 residents. Compare that to Austin, Texas' 39 acres per 1,000 residents or Oklahoma City's 43 acres per 1,000 residents and it becomes clear that something is amiss in metro Atlanta.This study identifies the obstacles to acquiring and maintaining open and green spaces in the metro Atlanta region. Addressing open space shortages in metro Atlanta is a sizable task. This study could be considered the first step in a larger process. Time spent researching the various obstacles and opportunities regarding open space acquisition raised many questions that are beyond the scope of this project. A second phase might test the recommendations made in this phase by working with local officials on a few select projects, and begin to identify critical pieces of property in metro Atlanta that must be protected from development. A detailed inventory of significant open space and natural resources in the metro area that includes the existing inventory of land inside of Interstate 285 should be considered either as a separate study or included in this recommended second phase

Regulation and best practices in public and nonprofit marketing

The volume contains the papers presented during the 9th International Congress of the International Association on Public and Nonprofit Marketing (IAPNM) entitled "Regulation and Best Practices in Public and Nonprofit Marketing". Structured in accordance with the sessions of the mentioned Congress, the volume includes papers and relevant contributions on marketing research development in the public administration, healthcare and social assistance, higher education, local development and, more generally, nonprofit organizations. The social marketing specific issues take an important part of the volume giving the diversity of the approached topics as well as the large number of researchers concerned with this matter. Though of small dimensions, the contents of the sessions dedicated the revival and reinvention of public marketing must be underlined, as well as of the transfer of public marketing best practices to the South-Eastern European states. Publishing this volume represents a term of the interest expressed by over 40 academic and research groups in Europe and other continents with interests in the public and nonprofit marketing field, as well as in other European states’ bodies that develop specific empirical studies