Analyzing and Visualizing Prosopographical Linked Data Based on Biographies

Peer reviewe

A Geography of Repression. The Spatio-Temporal Analysis of the First Years of the Special Tribunal in Fascist Italy, 1925-1928

This dissertation analyzes the spatial and temporal patterning of political arrests during the initial years of the fascist regime in Italy, from 1925 to 1928. These were crucial years because Italy’s fascists acted rapidly to consolidate their power and to suppress their opponents. A key element of this takeover was the creation of a political court, the Special Tribunal. I argue that while the Special Tribunal did target political enemies, it was also used as a sophisticated system of control of territory and population. In the first part of the research, it considers the spatial patterning of political arrests from individual to the national scale. Moreover, the fascist regime was able to take advantage of political crises, and this research analyzes how Mussolini operated in this context of emergency activating a political of suppression. New techniques emerge from the Spatial Humanities, in particular in the field of historical geographic information systems (HGIS), here it uses the Knox Index and clustering analysis to understand the role played by space, place, and time in the fascist system of political oppression. The study also considers the part gender played in the work of the Special Tribunal. Fascism was a masculinist and patriarchal movement which placed women outside of politics and also sought to impose strict rules on their bodies and behavior. The question then is how fascist ideology affected differences in the treatment of women and men in the Special Tribunal system. Scholars have often indicated that the Special Tribunal treated women brutally, but the pattern emerged from this research just partially confirms it. The surveillance network was a key element of the political justice system even if the researchers did not inquire about this aspect too much. Concentrating on the fascist surveillance systems, the dissertation elaborates the police monitoring after the people were released by the Special Tribunal system. Attention is given here to the spatio carceral tactics used by the fascists to maintain this surveillance for long periods. It emerges how the fascist brutal violence was completely absorbed by a perfect bureaucratic system of repression and control

Semantic National Biography of Finland

Peer reviewe

A survey on passive digital video forgery detection techniques

Digital media devices such as smartphones, cameras, and notebooks are becoming increasingly popular. Through digital platforms such as Facebook, WhatsApp, Twitter, and others, people share digital images, videos, and audio in large quantities. Especially in a crime scene investigation, digital evidence plays a crucial role in a courtroom. Manipulating video content with high-quality software tools is easier, which helps fabricate video content more efficiently. It is therefore necessary to develop an authenticating method for detecting and verifying manipulated videos. The objective of this paper is to provide a comprehensive review of the passive methods for detecting video forgeries. This survey has the primary goal of studying and analyzing the existing passive techniques for detecting video forgeries. First, an overview of the basic information needed to understand video forgery detection is presented. Later, it provides an in-depth understanding of the techniques used in the spatial, temporal, and spatio-temporal domain analysis of videos, datasets used, and their limitations are reviewed. In the following sections, standard benchmark video forgery datasets and the generalized architecture for passive video forgery detection techniques are discussed in more depth. Finally, identifying loopholes in existing surveys so detecting forged videos much more effectively in the future are discussed

2017 Texas Bays and Estuaries Meeting

Program for the 2017 Texas Bays and Estuaries Meeting held in Port Aransas, Texas, April 12-13, 2017.Coastal Bend Bays & Estuaries Program, Coastal Bend Bays Foundation, The University of Texas Marine Science Institute, Sea Grant Texas at Texas A&M University, Harte Research Institute for Gulf of Mexico Studies, and Mission Aransas National Estuarine Research Reserve.Marine Scienc

Final Report: Summer Institute on Climate Information for Public Health, 2011

The greatest challenges facing the public health systems of today include an aging population, urbanization and climate change. A key component of climate variability and climate change adaptation is the training of a new generation of leaders to understand the role that climate plays in driving disease burden and impacting economic growth. Such capacity building will help to strengthen and improve decisions made in the public health sector to minimize the impacts of global environmental change. As a contribution to this process, The International Research Institute for Climate and Society (IRI), in partnership with the Center for International Earth Science Information Network (CIESIN) and the Mailman School of Public Health (MSPH) at Columbia University initiated this two-week course in 2008. Building on the response of our 2008-2010 alumni, and a great demand from the climate and health community the 2011 Summer Institute on Climate Information for Public Health (SI11) was designed to engage professionals who play a key role in the operational decision-making for climate-sensitive diseases in identifying and evaluating appropriate use of climate information. SI11 was held at Columbia University's Lamont-Doherty Campus in Palisades, New York, between May 16th and May 27th, 2011

Summer Institute on Climate Information for Public Health 2010

Now that the world’s attention is focused on climate variability and climate change adaptation, it is essential, not only for public health communities, but also for planners in central government, to understand the role climate plays in driving disease burden and impacting economic growth. Public health emerges as the final common pathway for all impacts of climate variability and climate change on individuals as well as societies

How you move reveals who you are: understanding human behavior by analyzing trajectory data

The widespread use of mobile devices is producing a huge amount of trajectory data, making the discovery of movement patterns possible, which are crucial for understanding human behavior. Significant advances have been made with regard to knowledge discovery, but the process now needs to be extended bearing in mind the emerging field of behavior informatics. This paper describes the formalization of a semantic-enriched KDD process for supporting meaningful pattern interpretations of human behavior. Our approach is based on the integration of inductive reasoning (movement pattern discovery) and deductive reasoning (human behavior inference). We describe the implemented Athena system, which supports such a process, along with the experimental results on two different application domains related to traffic and recreation management

Semantics-Empowered Big Data Processing with Applications

We discuss the nature of Big Data and address the role of semantics in analyzing and processing Big Data that arises in the context of Physical-Cyber-Social Systems. We organize our research around the Five Vs of Big Data, where four of the Vs are harnessed to produce the fifth V - value. To handle the challenge of Volume, we advocate semantic perception that can convert low-level observational data to higher-level abstractions more suitable for decision-making. To handle the challenge of Variety, we resort to the use of semantic models and annotations of data so that much of the intelligent processing can be done at a level independent of heterogeneity of data formats and media. To handle the challenge of Velocity, we seek to use continuous semantics capability to dynamically create event or situation specific models and recognize relevant new concepts, entities and facts. To handle Veracity, we explore the formalization of trust models and approaches to glean trustworthiness. The above four Vs of Big Data are harnessed by the semantics-empowered analytics to derive value for supporting practical applications transcending physical-cyber-social continuum