The State of Open Data

It’s been ten years since open data first broke onto the global stage. Over the past decade, thousands of programmes and projects around the world have worked to open data and use it to address a myriad of social and economic challenges. Meanwhile, issues related to data rights and privacy have moved to the centre of public and political discourse. As the open data movement enters a new phase in its evolution, shifting to target real-world problems and embed open data thinking into other existing or emerging communities of practice, big questions still remain. How will open data initiatives respond to new concerns about privacy, inclusion, and artificial intelligence? And what can we learn from the last decade in order to deliver impact where it is most needed? The State of Open Data brings together over 60 authors from around the world to address these questions and to take stock of the real progress made to date across sectors and around the world, uncovering the issues that will shape the future of open data in the years to come

Insurability Challenges Under Uncertainty: An Attempt to Use the Artificial Neural Network for the Prediction of Losses from Natural Disasters

The main difficulty for natural disaster insurance derives from the uncertainty of an event’s damages. Insurers cannot precisely appreciate the weight of natural hazards because of risk dependences. Insurability under uncertainty first requires an accurate assessment of entire damages. Insured and insurers both win when premiums calculate risk properly. In such cases, coverage will be available and affordable. Using the artificial neural network – a technique rooted in artificial intelligence - insurers can predict annual natural disaster losses. There are many types of artificial neural network models. In this paper we use the multilayer perceptron neural network, the most accommodated to the prediction task. In fact, if we provide the natural disaster explanatory variables to the developed neural network, it calculates perfectly the potential annual losses for the studied country.Natural disaster losses, Insurability, Uncertainty, Multilayer perceptron neural network, Prediction.

“OK GOOGLE” PLAY THE NATIONAL ANTHEM: ARMS CONTROL AND EMINENT DOMAIN TO MAINTAIN AMERICA’S TECHNOLOGICAL ADVANTAGE

The country that first controls and dominates emerging technologies such as artificial intelligence and quantum computing will have the power to re-shape the world to their benefit. The US federal government has historically been the source of breakthroughs in technology and science, but Silicon Valley now controls much of the technology development needed for future defense and weapons systems. Driven by profit, the private sector has been more open to dealing new technologies to foreign adversaries while the US national security apparatus has a vested interest in ensuring powerful new technologies remain unattainable to countries that may wish harm to the United States. This paper recommends changes to export laws to specifically address the quick pace of sensitive technological development in the private sector, and it advocates for new statutory authority to seize technology through eminent domain as a last resort

Impacts of Artificial Intelligence on Public Administration: A Systematic Literature Review

The advent of machines power-driven by Artificial Intelligence (AI) have strongly influenced the world in the 21st century. The future of AI is promising and is offering a wide range of opportunities for scholars and academics. Although the theme has received a considerable attention over the last years, much has been speculated and little is known about its impacts on the Public Administration. Thus, the purpose of this article is to make the result of those impacts less ambiguous. To this end, we have conducted a systematic review to provide a comprehensive analysis on the latest impacts of AI on the Public Administration. Our intent is to narrow the field of study, while AI is being continuously strengthened with new empirical evidences.info:eu-repo/semantics/publishedVersio

Impacts of Artificial Intelligence on Public Administration: A Systematic Literature Review

The advent of machines power-driven by Artificial Intelligence (AI) have strongly influenced the world in the 21st century. The future of AI is promising and is offering a wide range of opportunities for scholars and academics. Although the theme has received a considerable attention over the last years, much has been speculated and little is known about its impacts on the Public Administration. Thus, the purpose of this article is to make the result of those impacts less ambiguous. To this end, we have conducted a systematic review to provide a comprehensive analysis on the latest impacts of AI on the Public Administration. Our intent is to narrow the field of study, while AI is being continuously strengthened with new empirical evidences.info:eu-repo/semantics/publishedVersio

Development of artificial intelligence models for the enrichment and exploitation of geospatial data in the built environment

Geospatial data treatment is an important task since it is a big part of big data. Nowadays, geospatial data exploitation is lacking in terms of artificial intelligence. In this work, we focus on the usage of a machine learning models to exploit geospatial data. We will follow a complete workflow from the collection and first descriptive analysis of the data to the development and evaluation of the different machine learning algorithms. From download dataset we will predict if the download will lead to civil work, in other words, it is a classification problem. We conclude that combining machine learning and geospatial data we can get a lot out of it

School of Public Affairs 2022 Annual Report

Onwards to our second decade! The School of Public Affairs’ annual report presents a magazine-style look back at the school’s year. Contents include the stories and accomplishments of current students, alumni, faculty, and other community partnerships. It also celebrates the generous giving of donors. A limited amount of print copies are produced and mailed to constituents. Support and collaboration of the annual report is regularly given by University Communications, the St. Cloud State University Foundation, St. Cloud State University Alumni Relations, University Archives, and the Departments of Criminal Justice, Economics, Geography & Planning, and Political Science. Note: The School of Public Affairs annual report evolved from seasonal newsletters. The first issue was published in April of 2018

Adapting U.S. Electronic Surveillance Laws, Policies, and Practices to Reflect Impending Technological Developments

Intelligence collection must always evolve to meet technological developments. While the collection programs under Section 702 of the FISA Amendments Act of 2008 have produced a great deal of valuable intelligence over the last decade, the United States must begin to think about foreseeable technological developments and strategically consider how to conduct signals intelligence (SIGINT) collection in the future. This Article identifies four technological trends that could significantly impact the way the United States conducts SIGINT. Individuals now have access to sophisticated technologies that formerly only governments seemed capable of creating, and this decentralization of capabilities will likely only increase in the future. The increased prevalence of anonymity and location-spoofing technologies offer benefits to individual users, but may create significant difficulties for the Intelligence Community in determining the location of targets, which is a fundamental aspect of the current legal regime governing SIGINT activities. Also, the United States’ “home field” advantage is receding. This trend means that the United States will have a smaller share of the world’s communications traffic transit its physical infrastructure, which will reduce the Intelligence Community’s ability to acquire precise and intact communications by serving directives on United States companies. The push towards data localization laws may further reduce the United States’ home field advantage. Finally, technology companies have begun to innovate in a manner that reduces their capability to respond to lawful government orders. Technology companies are increasingly adopting encryption technologies and may shift data overseas to try to avoid complying with lawful surveillance orders. Decisions by major private sector technology companies have the ability to shift how SIGINT is collected. If a person’s true location becomes increasingly more difficult to ascertain, the law should adapt to the uncertainty of location. In addition to legislative reforms, it may be prudent to create more forward leaning procedures to ease some of the difficulties that could be caused by increased uncertainty of the location of targets. Finally, as Section 702 becomes less useful in the future, the Intelligence Community must improve collection under Executive Order 12333 to ensure that the government continues to acquire vital intelligence to protect United States national security interests

Graduate Catalogue 2017-2019

https://digitalscholarship.tnstate.edu/graduatecatalogues/1005/thumbnail.jp