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(This post is co-authored by Patrick Ball and Megan Price)
In a recent article in the SAIS Review of International Affairs, we wrote about "event size bias," the problem that events of different sizes have different probabilities of being reported. In this case, the size of an event is defined by the number of reported victims. Our concern is that not all violent (in this case homicide) events are recorded, that is, some events will have zero sources. Our theory is that events with fewer victims will receive less coverage than events with more victims, and that a higher proportion of small events will have zero sources relative to large events.
The ...
For years I have been engaged in a quantitative study at Guatemalaâs Historic Archive of the National Police, or AHPN. (See the blogposts below.) In this study coders collect data on sheets of paper according to criteria established and explained in manuals. But when collecting data, thereâs always room for human errorâthis is why the validity of the study hinges on verifying that coders use the correct criteria.
It is important to mention that the mainstay of coding is the use of a controlled vocabulary. A controlled vocabulary gives analysts a framework, or frame of reference, when converting qualitative information into categories ...
The data on killings in Kosovo are in four files. All of the files are comma-delimited ASCII. The fields in each file are described below.
If you use these data on Kosovo killings, please cite them with the following citation, as well as this note:
âThese are convenience sample data, and as such they are not a statistically representative sample of events in this conflict. These data do not support conclusions about patterns, trends, or other substantive comparisons (such as over time, space, ethnicity, age, etc.).â
Patrick Ball, Wendy Betts, Fritz Scheuren, Jana Dudukovich, and Jana Asher. (2002). AAAS/ABA-CEELI/Human Rights Data ...
Megan Price, Anita Gohdes, Jay D. Aronson, and Christopher McNaboe. 2015. BMJ (29 September): 351. doi: http://dx.doi.org/10.1136/bmj.h4736. © The BMJ Publishing Group Ltd. All rights reserved. Open access.
As an organization that uses science to advocate for human rights, the goals and issues represented by Ada Lovelace Day are very near and dear to our hearts. Additionally, we are lucky to work with and be advised by some pretty kick-ass ladies in STEM (see our People page to learn more about these amazing women (and men)).
I brainstormed a list of women I could write about, as Finding Ada suggests we celebrate today by blogging about a STEM heroine. I considered Anita Borg (she has her own institute!), who advocated tirelessly for women in computer science. I thought about Sally Wyatt, keynote speaker and organizer of the fascinating workshop...
Collecting and Protecting Human Rights Data in Guatemala (1991-2013)
In 1996, a peace accord brokered by the United Nations ended 36 years of internal armed conflict in Guatemala. During the hostilities, non-governmental organizations asked for technical support from the scientific community in the project to gather the experiences of witnesses and victims in databases.
From 1993 to 1999 Dr. Patrick Ball, then at the American Association for the Advancement of Science (AAAS), worked with the International Center for Human Rights Research in Guatemala (CIIDH) to collect and organize evidence of more than 43,000 human rights violations. The ...
HRDAG is helping the Invisible Institute turn their windfall of raw data about police misconduct into data that can be analyzed.
Working at the Historic Archive of the National Police (AHPN) of Guatemala, there are many skills I learned on the job. My many years of work on the team that studies the recovered documents have been like a custom-made course in how to do quantitative research.
The Archive documents I study are the result of 36 years of creation during civil war (1960 to 1996). Many of these documents are simply administrativeâbut we are able to use them to understand patterns that occurred during the conflict, to get a sense of what mattered to the National Police and what didnât. Our quantitative research shows us the Police behavior in broad strokes. ...
Who We Are
The Human Rights Data Analysis Group is a non-profit, non-partisan organization that applies rigorous science to the analysis of human rights violations around the world. We are a team with expertise in mathematical statistics, computer science, demography, and social science. We are non-partisanâwe do not take sides in political or military conflicts, nor do we advocate any particular political party or government policy. However, we are not neutral: we are always in favor of human rights. We support the protections established in the Universal Declaration of Human Rights, the International Covenant on Civil and Political Rights, and ...
HRDAGâs core values all have a connection to Scott Weikart, 1951â2023.
An excerpt:Â The “It breaks the human” report released by the human rights group Amnesty International highlights new statistics from the Human Rights Data Analysis Group, or HRDAG, an organization that uses scientific approaches to analyze human rights violations.
I will use the skills and culture I learned from HRDAGâs team to understand how the conflict has affected the people in my country.
Megan Price, director of research, is quoted in this story about the R programming language. âSerious data analysis is not something youâre going to do using a mouse and drop-down boxes,â said HRDAGâs director of research Megan Price. âItâs the kind of thing youâre going to do getting close to the data, getting close to the code and writing some of it yourself.â
Version date: 2000.01.29
Current version: ATV20.1
Patrick Ball & Herbert F. Spirer
The unit of analysis for each record in this structure is VIOLATION.
Each violation was of a particular type, happened at a particular time and place, and was committed by zero, one, or several organizational perpetrators. The violation was committed against zero or one named (individually identified) victim, and zero or more anonymous (unidentified) additional victims. The violation was reported one or more times in one, two, or three source types.
Note that to count the number of times individuals suffered particular violations, users should sum either the ...
I had the pleasure of working with Patrick Ball at the HRDAG office in San Francisco for a week during summer 2016. I knew Patrick from two workshops he previously hosted at the University of Washingtonâs Centre for Human Rights (UWCHR). The workshops were indispensable to us at UWCHR as we worked to publish a number of datasets on human rights violations during the El Salvador Civil War. Â The training was all the more helpful because the HRDAG team was so familiar with the data. As part of an impressive career which took him from Ethiopia and Kosovo to Haiti and El Salvador among others, Patrick himself had worked on gathering and analysing ...
Inaccurate statistics can damage the credibility of human rights claimsâand that's why we strive to ensure that statistics about human rights violations are generated with as much rigor and are as scientifically accurate as possible.
But, what are the pitfalls leading to inaccuracyâwhen, where, and how do data become compromised? How are patterns biased by having only partial data? And what are the best scientific methods for collecting, managing, processing and analyzing data?
Here are the data pitfalls that HRDAG has identified, as well as some of our approaches for meeting these challenges. We believe that human rights researchers must take ...
The report tries to answer the question of whether a particular risk assessment model reinforces racial inequalities in the criminal justice system.
Patrick Ball is kicking himself for a decision he made almost 25 years ago. âI was clever, but I wasnât smart,â he says ruefully, as he considers the labyrinth of tables and ASCII-encoded keystrings he used to design a database of human rights violations for the pioneering Salvadoran non-governmental Human Rights Commission (CDHES). Now Iâm sitting in his office in San Franciscoâs Mission District watching over his shoulder, and trying to keep up, as he bangs out code to decipher the priceless data contained in these old files. Created in 1991 and 1992, during the last days of El Salvadorâs internal armed conflict, the files detail ...