The document provides an agenda for a digital demography workshop covering traditional demography models and new opportunities using digital data sources. The workshop is split into two parts, with the morning covering standard demography topics and the afternoon focusing on 16 case studies applying digital data to questions of fertility, mortality, and migration. The case studies demonstrate using sources like search engine queries, online genealogy records, social media posts, and email metadata to study demography trends. The document also introduces the two workshop presenters and their backgrounds in computational sociology and demographic research.
Digital 2021 Sierra Leone (January 2021) v01DataReportal
All the data, statistics, and trends you need to make sense of digital in Sierra Leone in 2021. Includes the latest reported numbers for internet users, social media users, and mobile connections in Sierra Leone, as well as key indicators of ecommerce use. For more reports, including the latest global trends and individual data for more than 230 countries around the world, visit https://datareportal.com/
There are different ways to build a brand. It is different for each company and also depends on the situation. The presentation describes the different concepts related to the integration of marketing communications to build brand equity and how xgames was successful in achieving this.
International Journal of Modern Engineering Research (IJMER) is Peer reviewed, online Journal. It serves as an international archival forum of scholarly research related to engineering and science education.
International Journal of Modern Engineering Research (IJMER) covers all the fields of engineering and science: Electrical Engineering, Mechanical Engineering, Civil Engineering, Chemical Engineering, Computer Engineering, Agricultural Engineering, Aerospace Engineering, Thermodynamics, Structural Engineering, Control Engineering, Robotics, Mechatronics, Fluid Mechanics, Nanotechnology, Simulators, Web-based Learning, Remote Laboratories, Engineering Design Methods, Education Research, Students' Satisfaction and Motivation, Global Projects, and Assessment…. And many more.
Digital 2021 Albania (January 2021) v01DataReportal
All the data, statistics, and trends you need to make sense of digital in Albania in 2021. Includes the latest reported numbers for internet users, social media users, and mobile connections in Albania, as well as key indicators of ecommerce use. For more reports, including the latest global trends and individual data for more than 230 countries around the world, visit https://datareportal.com/
Everything you need to know about mobile, internet, social media, and e-commerce use in China in 2019. For more reports, including the latest global trends and individual data for more than 230 countries around the world, visit https://datareportal.com/
TRABAJO FIN DE MASTER EN SISTEMAS DE INFORMACIÓN GEOGRÁFICA. Transitabilidad ...José Antonio Morán Martín
El presente trabajo consiste en una investigación sobre los criterios que afectan al relieve en el marco de la transitabilidad así como un planteamiento de análisis a realizar con estos parámetros con una aplicación GIS en un área concreta.
Los parámetros considerados en el estudio de transitabilidad fueron: pendiente, suelo, vegetación, viales e hidrología. La herramienta seleccionada para el análisis de la información es ESRI ArcGIS 10.0. La zona de estudio, la Comunidad de Madrid.
La metodología empleada para llevar a cabo el estudio, es un álgebra de mapas a partir de capas ráster. El álgebra de mapas permite un amplio número de operaciones que se ejecutan sobre una o varias capas raster de entrada para producir una o varias capas raster de salida. En este estudio, cada capa raster es preparada con su grado de transitabilidad (individual, para ese factor en concreto) y posteriormente es superpuesta sobre el resto del conjunto, para acabar obteniendo un valor total del transitabilidad que es la suma de todos los factores.
Los resultados del análisis permiten detectar de una forma clara, expresado en un mapa temático de grados de transitabilidad, los espacios con mayor o menor traficabilidad en la zona de estudio, permitiendo de este modo, establecer rutas en el terreno en función de la dificultad del mismo.
Digital 2021 Sierra Leone (January 2021) v01DataReportal
All the data, statistics, and trends you need to make sense of digital in Sierra Leone in 2021. Includes the latest reported numbers for internet users, social media users, and mobile connections in Sierra Leone, as well as key indicators of ecommerce use. For more reports, including the latest global trends and individual data for more than 230 countries around the world, visit https://datareportal.com/
There are different ways to build a brand. It is different for each company and also depends on the situation. The presentation describes the different concepts related to the integration of marketing communications to build brand equity and how xgames was successful in achieving this.
International Journal of Modern Engineering Research (IJMER) is Peer reviewed, online Journal. It serves as an international archival forum of scholarly research related to engineering and science education.
International Journal of Modern Engineering Research (IJMER) covers all the fields of engineering and science: Electrical Engineering, Mechanical Engineering, Civil Engineering, Chemical Engineering, Computer Engineering, Agricultural Engineering, Aerospace Engineering, Thermodynamics, Structural Engineering, Control Engineering, Robotics, Mechatronics, Fluid Mechanics, Nanotechnology, Simulators, Web-based Learning, Remote Laboratories, Engineering Design Methods, Education Research, Students' Satisfaction and Motivation, Global Projects, and Assessment…. And many more.
Digital 2021 Albania (January 2021) v01DataReportal
All the data, statistics, and trends you need to make sense of digital in Albania in 2021. Includes the latest reported numbers for internet users, social media users, and mobile connections in Albania, as well as key indicators of ecommerce use. For more reports, including the latest global trends and individual data for more than 230 countries around the world, visit https://datareportal.com/
Everything you need to know about mobile, internet, social media, and e-commerce use in China in 2019. For more reports, including the latest global trends and individual data for more than 230 countries around the world, visit https://datareportal.com/
TRABAJO FIN DE MASTER EN SISTEMAS DE INFORMACIÓN GEOGRÁFICA. Transitabilidad ...José Antonio Morán Martín
El presente trabajo consiste en una investigación sobre los criterios que afectan al relieve en el marco de la transitabilidad así como un planteamiento de análisis a realizar con estos parámetros con una aplicación GIS en un área concreta.
Los parámetros considerados en el estudio de transitabilidad fueron: pendiente, suelo, vegetación, viales e hidrología. La herramienta seleccionada para el análisis de la información es ESRI ArcGIS 10.0. La zona de estudio, la Comunidad de Madrid.
La metodología empleada para llevar a cabo el estudio, es un álgebra de mapas a partir de capas ráster. El álgebra de mapas permite un amplio número de operaciones que se ejecutan sobre una o varias capas raster de entrada para producir una o varias capas raster de salida. En este estudio, cada capa raster es preparada con su grado de transitabilidad (individual, para ese factor en concreto) y posteriormente es superpuesta sobre el resto del conjunto, para acabar obteniendo un valor total del transitabilidad que es la suma de todos los factores.
Los resultados del análisis permiten detectar de una forma clara, expresado en un mapa temático de grados de transitabilidad, los espacios con mayor o menor traficabilidad en la zona de estudio, permitiendo de este modo, establecer rutas en el terreno en función de la dificultad del mismo.
Digital 2022: Essential Snapchat Stats for Q3 2022 v01DataReportal
This presentation contains DataReportal’s update on Snapchat adoption and use around the world in July 2022, including the number of Snapchat users by country, and insights into Snapchat’s audience demographics (i.e. Snapchat users by age and gender). Find similar reports for other top social platforms – and loads more great insights – at https://datareportal.com/social-media-platforms
Digital 2022 Saint Helena, Ascension and Tristan da Cunha (February 2022) v01DataReportal
All the data, statistics, and trends you need to make sense of digital in Saint Helena, Ascension and Tristan da Cunha in 2022. Includes the latest reported numbers for internet users, social media users, and mobile connections in Saint Helena, Ascension and Tristan da Cunha, as well as key indicators of ecommerce use. For more reports, including the latest global trends and individual data for more than 230 countries around the world, visit https://datareportal.com/
Pinterest coraz mocniej otwiera się na e-commerce w Polsce. Rośnie więc potrzeba poznania użytkowników tego medium. Jacy są polscy Pinnersi? Czy platforma ma potencjał sprzedażowy? Open Mobi przedstawia wnioski z przeprowadzonego niedawno badania.
Digital 2022 Trinidad and Tobago (February 2022) v01DataReportal
All the data, statistics, and trends you need to make sense of digital in Trinidad and Tobago in 2022. Includes the latest reported numbers for internet users, social media users, and mobile connections in Trinidad and Tobago, as well as key indicators of ecommerce use. For more reports, including the latest global trends and individual data for more than 230 countries around the world, visit https://datareportal.com/
Digital 2022 Canada (February 2022) v02DataReportal
All the data, statistics, and trends you need to make sense of digital in Canada in 2022. Includes the latest reported numbers for internet users, social media users, and mobile connections in Canada, as well as key indicators of ecommerce use. For more reports, including the latest global trends and individual data for more than 230 countries around the world, visit https://datareportal.com/
Digital 2022 Sierra Leone (February 2022) v01DataReportal
All the data, statistics, and trends you need to make sense of digital in Sierra Leone in 2022. Includes the latest reported numbers for internet users, social media users, and mobile connections in Sierra Leone, as well as key indicators of ecommerce use. For more reports, including the latest global trends and individual data for more than 230 countries around the world, visit https://datareportal.com/
Digital 2022 Kazakhstan (February 2022) v01DataReportal
All the data, statistics, and trends you need to make sense of digital in Kazakhstan in 2022. Includes the latest reported numbers for internet users, social media users, and mobile connections in Kazakhstan, as well as key indicators of ecommerce use. For more reports, including the latest global trends and individual data for more than 230 countries around the world, visit https://datareportal.com/
مقدمة نظرية مختصرة عن نعريف - مكونات - تطبيقات واستخدامات نظم المعلومات الجغر...Soha Ahmed د. سهــى أحمد
يتم القاء الضوء عن اهم تعاريف نظم المعلومات الجغرافية وكذلك مكوناته وعناصره الاساسية الاسئلة الخمسة التلى يجيب عنها مع بعض الامثلة واخيراً تطبيقات واستخدامات نظم المعلومات الجغرافية
Digital 2020 Global Digital Yearbook (January 2020) v01DataReportal
Essential headline data for mobile, internet, and social media use in more than 230 countries and territories around the world in January 2020. For more reports, including the latest global trends and individual data for more than 230 countries around the world, visit https://datareportal.com/
Digital 2022 Comoros (February 2022) v01DataReportal
All the data, statistics, and trends you need to make sense of digital in Comoros in 2022. Includes the latest reported numbers for internet users, social media users, and mobile connections in Comoros, as well as key indicators of ecommerce use. For more reports, including the latest global trends and individual data for more than 230 countries around the world, visit https://datareportal.com/
Digital 2020 France (January 2020) v01DataReportal
All the data, statistics, and trends you need in order to understand digital in France in 2020. Includes the latest reported numbers for internet users, social media users, and mobile connections in France, as well as key indicators of ecommerce use. For more reports, including the latest global trends and individual data for more than 230 countries around the world, visit https://datareportal.com/
AI should be Fair, Accountable and Transparent (FAT* AI), hence it's crucial to raise awareness among these topics not only among machine learning practitioners but among the entire population, as ML systems can take life-changing decisions and influence our lives now more than ever.
Not-so-obvious Online Data Sources for Demographic ResearchIngmar Weber
Slides from ICWSM'17 workshop on Social Media for Demographic Research (https://sites.google.com/site/smdrworkshop/program). Data sets include Facebook's ad audience estimates, Google Correlate, online genealogy and much more. Contact Ingmar directly to learn more.
Digital 2022: Essential Snapchat Stats for Q3 2022 v01DataReportal
This presentation contains DataReportal’s update on Snapchat adoption and use around the world in July 2022, including the number of Snapchat users by country, and insights into Snapchat’s audience demographics (i.e. Snapchat users by age and gender). Find similar reports for other top social platforms – and loads more great insights – at https://datareportal.com/social-media-platforms
Digital 2022 Saint Helena, Ascension and Tristan da Cunha (February 2022) v01DataReportal
All the data, statistics, and trends you need to make sense of digital in Saint Helena, Ascension and Tristan da Cunha in 2022. Includes the latest reported numbers for internet users, social media users, and mobile connections in Saint Helena, Ascension and Tristan da Cunha, as well as key indicators of ecommerce use. For more reports, including the latest global trends and individual data for more than 230 countries around the world, visit https://datareportal.com/
Pinterest coraz mocniej otwiera się na e-commerce w Polsce. Rośnie więc potrzeba poznania użytkowników tego medium. Jacy są polscy Pinnersi? Czy platforma ma potencjał sprzedażowy? Open Mobi przedstawia wnioski z przeprowadzonego niedawno badania.
Digital 2022 Trinidad and Tobago (February 2022) v01DataReportal
All the data, statistics, and trends you need to make sense of digital in Trinidad and Tobago in 2022. Includes the latest reported numbers for internet users, social media users, and mobile connections in Trinidad and Tobago, as well as key indicators of ecommerce use. For more reports, including the latest global trends and individual data for more than 230 countries around the world, visit https://datareportal.com/
Digital 2022 Canada (February 2022) v02DataReportal
All the data, statistics, and trends you need to make sense of digital in Canada in 2022. Includes the latest reported numbers for internet users, social media users, and mobile connections in Canada, as well as key indicators of ecommerce use. For more reports, including the latest global trends and individual data for more than 230 countries around the world, visit https://datareportal.com/
Digital 2022 Sierra Leone (February 2022) v01DataReportal
All the data, statistics, and trends you need to make sense of digital in Sierra Leone in 2022. Includes the latest reported numbers for internet users, social media users, and mobile connections in Sierra Leone, as well as key indicators of ecommerce use. For more reports, including the latest global trends and individual data for more than 230 countries around the world, visit https://datareportal.com/
Digital 2022 Kazakhstan (February 2022) v01DataReportal
All the data, statistics, and trends you need to make sense of digital in Kazakhstan in 2022. Includes the latest reported numbers for internet users, social media users, and mobile connections in Kazakhstan, as well as key indicators of ecommerce use. For more reports, including the latest global trends and individual data for more than 230 countries around the world, visit https://datareportal.com/
مقدمة نظرية مختصرة عن نعريف - مكونات - تطبيقات واستخدامات نظم المعلومات الجغر...Soha Ahmed د. سهــى أحمد
يتم القاء الضوء عن اهم تعاريف نظم المعلومات الجغرافية وكذلك مكوناته وعناصره الاساسية الاسئلة الخمسة التلى يجيب عنها مع بعض الامثلة واخيراً تطبيقات واستخدامات نظم المعلومات الجغرافية
Digital 2020 Global Digital Yearbook (January 2020) v01DataReportal
Essential headline data for mobile, internet, and social media use in more than 230 countries and territories around the world in January 2020. For more reports, including the latest global trends and individual data for more than 230 countries around the world, visit https://datareportal.com/
Digital 2022 Comoros (February 2022) v01DataReportal
All the data, statistics, and trends you need to make sense of digital in Comoros in 2022. Includes the latest reported numbers for internet users, social media users, and mobile connections in Comoros, as well as key indicators of ecommerce use. For more reports, including the latest global trends and individual data for more than 230 countries around the world, visit https://datareportal.com/
Digital 2020 France (January 2020) v01DataReportal
All the data, statistics, and trends you need in order to understand digital in France in 2020. Includes the latest reported numbers for internet users, social media users, and mobile connections in France, as well as key indicators of ecommerce use. For more reports, including the latest global trends and individual data for more than 230 countries around the world, visit https://datareportal.com/
AI should be Fair, Accountable and Transparent (FAT* AI), hence it's crucial to raise awareness among these topics not only among machine learning practitioners but among the entire population, as ML systems can take life-changing decisions and influence our lives now more than ever.
Not-so-obvious Online Data Sources for Demographic ResearchIngmar Weber
Slides from ICWSM'17 workshop on Social Media for Demographic Research (https://sites.google.com/site/smdrworkshop/program). Data sets include Facebook's ad audience estimates, Google Correlate, online genealogy and much more. Contact Ingmar directly to learn more.
APLIC 2014 - Social Observatories Coordinating NetworkAPLICwebmaster
NSF project looks to define social science research for the 21st century. The major objective of the SOCN is to continue exploration of ideas regarding the potential form and functioning of such a network of social observatories and to actively engage individuals and groups across the SBE research community in this process.
Invitational talk from the NSF/NCI workshop "Cyberinfrastructure in Behavioral Medicine" in San Diego on March 31st 2008, talking about what I call infodemiology / infoveillance work
IMPACTS OF JUCVENILE JUSTICE SYSTEM ON AFRICAN AMERICAN ADOLESCENTMalikPinckney86
IMPACTS OF JUCVENILE JUSTICE SYSTEM ON AFRICAN AMERICAN ADOLESCENT 7
Impacts of Juvenile Justice Systems for African Americans Adolescents.
The study on juvenile systems focuses on African American adolescents as they are the majority in the juvenile systems. Much research has been done focusing on why most blacks are in the juvenile and prison systems. The question boils down to racial injustices and many other factors. However, this study focuses on the impacts of juvenile systems on African Americans. Therefore, it is vital to understand the effects of juvenile systems on African American youths focusing on behavioral changes and widespread health impacts by comparing the detained and released juveniles to those never arrested. It is essential to understand behavioral changes among adolescents since they stay together at the school level, and deviant behaviors may harm themselves or even teachers. Study shows that African American youths are involved in higher juvenile cases than any other race (Voisin et al., 2016). Other studies relate societal aspects that push African American youths to deviant behaviors such as taking marijuana, drugs, and other harmful societal acts such as commercial sex (Voisin et al., 2016) (Voisin et al., 2016). Juvenile systems focus on changing youths' behaviors but do they also negatively impact youth’s behavior?
Purpose Statement
The study will help understand factors in the juvenile systems that cause behavioral changes among convicted youth. Thus, an ideal comprehension of the relationship between juvenile justice systems and their role in changing youth behaviors will help identify correct interventions to impact convicted youths and create a better future society positively.
Theoretical Framework and Hypothesis
The study focuses on African American adolescents by comparing blacks adolescents exposed to juvenile systems and those not yet convicted. By focusing on their behavioral differences, the study aims to show the role of juvenile systems in the well-being of adolescents. Do the juvenile systems have a positive role in adolescent behavior, or do they still show deviant behaviors even after release from juvenile systems?. The questions raise concerns about the part of juveniles in society. Besides, other researches focus on social determinants of behavioral changes such as environment, income, and family status where adolescents reside. It is vital to understand whether African American adolescents acquire their behaviors from the societal environment or the ineffective juvenile systems that determine their behavioral changes. Thus the study develops two hypotheses:
H1: Adolescents are mentally affected with juvenile systems programs as they show repetitive deviant behaviors after release.
H2: Socio-economic factors are a great contributor to deviant behaviors seen in African American youths.
Numerous studies have focused on why juvenile systems have more African American youths than othe ...
Digital Trace Data for Demographic ResearchIngmar Weber
Lecture given as part of the BIGSSS 2019 summer school on migration (https://bigsss-css.jacobs-university.de/migration2019/migration/). See https://ingmarweber.de/publications/ for related publications. Mostly joint work with Emilio Zagheni.
Psychological Testing on the InternetNew Problems, Old Issue.docxwoodruffeloisa
Psychological Testing on the Internet
New Problems, Old Issues
Jack A. Naglieri George Mason University
Fritz Drasgow University of Illinois at Urbana–Champaign
Mark Schmit SHL Litigation Support Group
Len Handler University of Tennessee
Aurelio Prifitera Harcourt Assessment
Amy Margolis Brooklyn Learning Center
Roberto Velasquez San Diego State University
The Internet has significantly changed the way people
conduct business, communicate, and live. In this article, the
authors’ focus is on how the Internet influences the practice
of psychology as it relates to testing and assessment. The
report includes 5 broad sections: background and context,
new problems yet old issues, issues for special populations,
ethical and professional issues, and recommendations for
the future. Special attention is paid to implications for
people with disabling conditions and culturally and lin-
guistically diverse persons. The authors conclude that eth-
ical responsibilities of psychologists and current psycho-
metric standards, particularly those regarding test
reliability and validity, apply even though the way in which
the tests are developed and used may be quite different.
At their spring and fall 2000 meetings, members ofthe Committee on Psychological Tests and As-sessment (CPTA) discussed issues related to psy-
chological testing and assessment on the Internet. They
recognized that as psychological test instruments become
more readily available via the Internet, issues arise con-
cerning, for example, test reliability, validity, administra-
tion, item security, and test-taker confidentiality. Members
of CPTA’s parent boards—the Board of Scientific Affairs
(BSA), the Board of Professional Affairs (BPA), the Board
of Educational Affairs, and the Board for the Advancement
of Psychology in the Public Interest—reviewed and en-
dorsed the idea of creating a task force to examine these
issues. Specifically, BSA and BPA members agreed that it
was important for the American Psychological Association
(APA) to be a leader in discussing new and emerging
technologies in psychological testing, assessment, and re-
search and in providing information about Internet-based
testing and related issues. They noted that a jointly spon-
sored BSA–BPA task force on Internet-based testing would
complement other APA groups focusing on related issues.
The Task Force on Psychological Testing on the Internet
was therefore formed, with a broad mission of reviewing
current practices on Internet-based psychological testing
and determining psychometric, ethical, legal, and practical
implications of this approach to testing particularly for
individuals from culturally and linguistically diverse
populations.
Task force members were chosen to reflect expertise
across a broad range of testing areas (e.g., educational,
school, employment, forensic, career–vocational, clinical,
cross-cultural, neuropsychological), to be knowledgeable
in Internet technology, and to represent the concerns ...
NISO Two Day Virtual Conference:
Using the Web as an E-Content Distribution Platform:
Challenges and Opportunities
Oct 21-22, 2014
Gregg Gordon, President and CEO, Social Science Research Network (SSRN)
Article one Lethal injection -electronic resource- -.docxnoel23456789
Article one
Lethal injection [electronic resource] : capital punishment in Texas during the modern era / Jon Sorensen and Rocky LeAnn Pilgrim ; foreword by Evan J. Mandery.
Language:
English
Authors:
(Jonathan Roger), 1965-
Publication Information:
Austin, TX : University of Texas Press, 2006.
Edition:
1st ed.
Publication Date:
2006
Physical Description:
xi, 222 p. : ill.
Publication Type:
Book; eBook
Document Type:
Bibliographies; Electronic; Non-fiction; Government documents; Electronic document
Subject Terms:
Content Notes:
The modern era -- Deterrence : does it prevent others from committing murder? -- Incapacitation : does it keep them from killing again? -- Retribution : do they deserve to die? -- Administration : is the death penalty carried out impartially, reliably, and efficiently? -- Conclusion.
Notes:
Includes bibliographical references (p. [203]-214) and index. Electronic reproduction. Ann Arbor, MI : ProQuest, 2015. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries.
Other Authors:
, 1978-
OCLC:
614534999
URL:
Note: Click to View
Accession Number:
wal.EBC3443247
Database:
Walden University Library Catalog
______________________________________________________________________________
Article two
STUCK BETWEEN GROWING UP AND GROWN UP: DELAYING THE SENTENCING PHASE FOR YOUNG ADULTS FACING CAPITAL PUNISHMENT IN TEXAS
Authors:
Source:
Texas Tech Law Review. Summer, 2021, Vol. 53 Issue 4, p843, 870 p.
Publisher Information:
Texas Tech University School of Law, 2021.
Publication Year:
2021
Subject Terms:
Subject Geographic:
Language:
English
ISSN:
0564-6197
Rights:
Copyright 2021 Gale, Cengage Learning. All rights reserved. COPYRIGHT 2021 Texas Tech University School of Law
Accession Number:
edsgcl.674607828
Database:
Gale OneFile: LegalTrac
2
“THE PROGRAM AND EVALUATION TOOL PLANNINGâ€
Angel Winslow
EDSD 7900
Module 3 Assignment
COURSE PROJECT PARTS 1 AND 2
Date Due: January 8, 2023
Part 1: The Program
Early childhood education is one of the specialization areas that had its issues presented in Mayo Keller’s taskforce. As a member of the taskforce specializing in early childhood education, I will present to the taskforce programs that need improvement for the ultimate goal of advancing the sector. One program that need to be evaluated and improved for change is the enrollment program into early childhood education. The goal of the program is to increase enrollment and improve participation of young learners in early childhood education. The enrollment of children aged 3 to 5 years into early childhood education has significantly been declining in the Grand City area. The situation therefore calls for the stakeholders to look into the causes and solutions (Walden University, 2016). Parents, district education officers, mayor’s office, and early childhood educators are some of the stakeholders concerned with the program.
Data
Within a span of 5 years the number of children aged 3 to 5 years .
Digital Gender Gaps Seen Through Social MediaIngmar Weber
Keynote given on September 25 at the 5th Annual International Conference on Data Science and Business Analytics (ICDSBA2021, http://www.icdsbaconference.com/2021/menu/keynotes). Based on joint work with Ridhi Kashyap (University of Oxford), Masoomali Fatehkia (Qatar Computing Research Institute), and others. Includes preliminary observations from changes in Afghanistan since the Taliban take-over. Details about published work at https://ingmarweber.de/publications/.
Different Hashtags, Different Opinions - Twitter Polarization in EgyptIngmar Weber
Slides for a flash talk given on July 12 at the online workshop on "Modeling and Measuring Social Cohesion using Methods of Computational Social Science" organized by the Bremen International Graduate School of Social Sciences (BIGSSS). Joint work with Kiran Garimella, Alaa Bateyneh, and others. Details at https://ingmarweber.de/publications/.
Data on Polarization, Peace, and PropagandaIngmar Weber
Slide deck used during a presentation at STI Forum side event on "Innovating for Peace", hosted by the UN missions of Turkey and Qatar, as well as UN DPPA. More about the STI Forum at https://www.un.org/ecosoc/en/events/2021/multi-stakeholder-forum-science-technology-and-innovation-sustainable-development-goals. The presentation features work by QCRI scientists, including Muhammad Imran and Preslav Nakov, and many others. See the last slide for references.
Using Advertising Platforms for Social GoodIngmar Weber
Presentation given as part of RMIT's Data Analytics of Social Impact event on December 1. More details about the work at https://ingmarweber.de/publications/. The work presented is led by the Qatar Computing Research Institute but involves many other collaborators and stakeholders.
Monitoring migration using social media data an introductionIngmar Weber
Webinar hosted by Georgetown Global Human Development Program. Recording of the session is available at https://georgetown.zoom.us/rec/play/vMElIrir-mg3HYWWtwSDVP4rW461Jqis2iAZ8qUEyErnBiQGNFqlb7tEM-ofDv5GgHLYljjfYoBR0852?continueMode=true&_x_zm_rtaid=8UtYz48MSICS36P_gsSTDg.1588250263912.a1e6098b19d99104d94a3a1063c22f70&_x_zm_rhtaid=503
Original eventbrite at https://www.eventbrite.com/e/monitoring-migration-using-social-media-data-an-introduction-tickets-102687830064
Not so-obvious social media analysis to study current affairsIngmar Weber
This instalment of the (un)data Seminar Series on Outrageous Questions will discuss topics related to studying political extremism and monitoring global development through social media analysis. Dr. Weber will explain the methods and analysis behind three case studies of political analysis and global development: first, how one can use Twitter to understand the antecedents of ISIS support by building a classifier that, in retrospect, predicts if a Twitter user will oppose or support ISIS. The features that are predictive (or not) of ISIS support help to understand potential motivations. Second, a methodology for monitoring political polarization and show how increases in this polarization measure tended to precede outbreaks in Egypt. Third, how publicly accessible advertising data from Facebook can de repurposed to monitor migration and track internet access gender gaps around the globe. The overarching goal is to illustrate how despite challenges around lack of representativeness, social media can provide useful signals to study current affairs.
Slides for presentation given at Immigration, Refugees and Citizenship Canada (IRCC) in Ottawa as part of the "Research Matters" series on Sep 25. Joint work with Emilio Zagheni, Kiran Garimella, Joao Palotti and others. See https://ingmarweber.de/publications/ for publications and citation information. The trip to Ottawa is supported in part by ACM's Distinguished Speakers Program (https://speakers.acm.org/speakers/weber_7123).
Digital advertising data for migration researchIngmar Weber
Presentation given at the International Metropolis Conference on June 25 in Ottawa. The conference trip was financially supported by the European Commission's Joint Research Center as well as by ACM's Distinguished Speakers Program.
Presentation given as part of a panel on "Innovative Applications of AI & Data Science" on Tuesday, May 28, 2019, as part of the ITU AI for Good Global Summit. See https://ingmarweber.de/publications/ for additional details about the work.
Using advertising data to model migration, poverty and digital gender gapsIngmar Weber
Talk given at the Machine Learning and Data Analytics Symposium (MLDAS 2019). https://qcai.qcri.org/index.php/events/mldas-2019/.
Contact me if you're interested in the topic of poverty mapping or data for development in general.
Correlated Impulses: Using Facebook Interests to Improve Predictions of Crime...Ingmar Weber
Presentation at the Annual Meeting of the Population Association of America (PAA 2019) in the Session Using Social Media in Population Research (http://paa2019.populationassociation.org/sessions/128). See https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0211350 for the full paper.
Tapping into advertising platforms to monitor ict usage and moreIngmar Weber
Examples for how to use publicly available, aggregate and anonymous data from online advertising platforms to monitor (i) digital gender gaps, (ii) international migration, and (iii) income inequalities. Details at https://ingmarweber.de/publications/. Joint work with Ridhi Kashyap, Masoomali Fatehkia, Joao Palotti, Emilio Zagheni and others.
Hate Speech, Polarization and Online DataIngmar Weber
Slides for keynote talk at workshop on hate speech detection and genocide/politicide prediction organized by Ben Goldsmith (https://researchers.anu.edu.au/researchers/goldsmith-b) and Marian-Andrei Rizoiu (https://cecs.anu.edu.au/people/marian-andrei-rizoiu) at the Australian National University (ANU) on November 26/27, 2018.
Presentation given during panel on "Closing inequalities and gender divides" at UNESCO Mobile Learning Week on March 28. Program at https://en.unesco.org/sites/default/files/unesco-mlw2018-programme-en.pdf#page=11. References at https://ingmarweber.de/publications/. Coming soon: http://www.digitalgendergaps.org/. Joint work with Ridhi Kashyap and Masoomali Fatehkia.
Estimating Migration and Quantifying Migrant Assimilation Using Internet Adve...Ingmar Weber
Presentation given at HBKU Colloquium on Big Data and the Law (https://hbku.edu.qa/en/academic-events/digital-humanities-big-data-law). Joint research with Emilio Zagheni and others on monitoring international migration using Facebook advertising data.
Using internet advertising data for studying international migrationIngmar Weber
Slides used at #BigData4Migration workshop. https://ec.europa.eu/jrc/en/event/workshop/big-data-and-alternative-data-sources-migration-case-studies-policy-support
See https://ingmarweber.de/publications/ for some related publications.
Social media analysis for better policy makingIngmar Weber
Slides for my presentation during the "Social Media and the Law" Symposium on Wednesday, October 18 (http://www.hbku.edu.qa/en/academic-events/colloquium-social-media-and-law). See https://ingmarweber.de/publications/ for a full list of my publications in computational social science.
Matching Methods and Natural Experiments - Examples of Causal Inference from ...Ingmar Weber
Invited talk given at Observational Studies Through Social Media workshop (OSSM, https://www.microsoft.com/en-us/research/event/ossm17/) at ICWSM'17. Includes both my own but, mostly, other people's work.
Studies covered:
"Detecting Emotional Contagion in Massive Social Networks", http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0090315
"Exercise contagion in a global social network", https://www.nature.com/articles/ncomms14753
"How Community Feedback Shapes User Behavior", https://www.aaai.org/ocs/index.php/ICWSM/ICWSM14/paper/view/8066
"A Warm Welcome Matters!: The Link Between Social Feedback and Weight Loss in /r/loseit", http://dl.acm.org/citation.cfm?id=3055131
See https://ingmarweber.de/publications/ for my own work.
A Warm Welcome Matters! The Link Between Social Feedback and Weight Loss in /...Ingmar Weber
Presentation in the Web Science track at WWW'17. Full paper https://ingmarweber.de/wp-content/uploads/2017/04/A-Warm-Welcome-Matters-The-Link-Between-Social-Feedback-and-Weight-Loss-in-r-loseit.pdf. Work led by Tiago Cunha (https://twitter.com/tocunha).
Abstract of paper:
Social feedback has long been recognized as an important
element of successful health-related behavior change. However, most of the existing studies look at the effect that online social feedback has. This paper fills gaps in the literature by proposing a framework to study the causal effect
that receiving social support in the form of comments in an
online weight loss community has on (i) the probability of
the user to return to the forum, and, more importantly, on
(ii) the weight loss reported by the user. Using a matching
approach for causal inference we observe a difference of 9
lbs lost between users who do or do not receive comments.
Surprisingly, this effect is mediated by neither an increase in
lifetime in the community nor by an increased activity level
of the user. Our results show the importance that a "warm
welcome" has when using online support forums to achieve
health outcomes.
(May 29th, 2024) Advancements in Intravital Microscopy- Insights for Preclini...Scintica Instrumentation
Intravital microscopy (IVM) is a powerful tool utilized to study cellular behavior over time and space in vivo. Much of our understanding of cell biology has been accomplished using various in vitro and ex vivo methods; however, these studies do not necessarily reflect the natural dynamics of biological processes. Unlike traditional cell culture or fixed tissue imaging, IVM allows for the ultra-fast high-resolution imaging of cellular processes over time and space and were studied in its natural environment. Real-time visualization of biological processes in the context of an intact organism helps maintain physiological relevance and provide insights into the progression of disease, response to treatments or developmental processes.
In this webinar we give an overview of advanced applications of the IVM system in preclinical research. IVIM technology is a provider of all-in-one intravital microscopy systems and solutions optimized for in vivo imaging of live animal models at sub-micron resolution. The system’s unique features and user-friendly software enables researchers to probe fast dynamic biological processes such as immune cell tracking, cell-cell interaction as well as vascularization and tumor metastasis with exceptional detail. This webinar will also give an overview of IVM being utilized in drug development, offering a view into the intricate interaction between drugs/nanoparticles and tissues in vivo and allows for the evaluation of therapeutic intervention in a variety of tissues and organs. This interdisciplinary collaboration continues to drive the advancements of novel therapeutic strategies.
Comparing Evolved Extractive Text Summary Scores of Bidirectional Encoder Rep...University of Maribor
Slides from:
11th International Conference on Electrical, Electronics and Computer Engineering (IcETRAN), Niš, 3-6 June 2024
Track: Artificial Intelligence
https://www.etran.rs/2024/en/home-english/
Observation of Io’s Resurfacing via Plume Deposition Using Ground-based Adapt...Sérgio Sacani
Since volcanic activity was first discovered on Io from Voyager images in 1979, changes
on Io’s surface have been monitored from both spacecraft and ground-based telescopes.
Here, we present the highest spatial resolution images of Io ever obtained from a groundbased telescope. These images, acquired by the SHARK-VIS instrument on the Large
Binocular Telescope, show evidence of a major resurfacing event on Io’s trailing hemisphere. When compared to the most recent spacecraft images, the SHARK-VIS images
show that a plume deposit from a powerful eruption at Pillan Patera has covered part
of the long-lived Pele plume deposit. Although this type of resurfacing event may be common on Io, few have been detected due to the rarity of spacecraft visits and the previously low spatial resolution available from Earth-based telescopes. The SHARK-VIS instrument ushers in a new era of high resolution imaging of Io’s surface using adaptive
optics at visible wavelengths.
Nutraceutical market, scope and growth: Herbal drug technologyLokesh Patil
As consumer awareness of health and wellness rises, the nutraceutical market—which includes goods like functional meals, drinks, and dietary supplements that provide health advantages beyond basic nutrition—is growing significantly. As healthcare expenses rise, the population ages, and people want natural and preventative health solutions more and more, this industry is increasing quickly. Further driving market expansion are product formulation innovations and the use of cutting-edge technology for customized nutrition. With its worldwide reach, the nutraceutical industry is expected to keep growing and provide significant chances for research and investment in a number of categories, including vitamins, minerals, probiotics, and herbal supplements.
Richard's aventures in two entangled wonderlandsRichard Gill
Since the loophole-free Bell experiments of 2020 and the Nobel prizes in physics of 2022, critics of Bell's work have retreated to the fortress of super-determinism. Now, super-determinism is a derogatory word - it just means "determinism". Palmer, Hance and Hossenfelder argue that quantum mechanics and determinism are not incompatible, using a sophisticated mathematical construction based on a subtle thinning of allowed states and measurements in quantum mechanics, such that what is left appears to make Bell's argument fail, without altering the empirical predictions of quantum mechanics. I think however that it is a smoke screen, and the slogan "lost in math" comes to my mind. I will discuss some other recent disproofs of Bell's theorem using the language of causality based on causal graphs. Causal thinking is also central to law and justice. I will mention surprising connections to my work on serial killer nurse cases, in particular the Dutch case of Lucia de Berk and the current UK case of Lucy Letby.
Introduction:
RNA interference (RNAi) or Post-Transcriptional Gene Silencing (PTGS) is an important biological process for modulating eukaryotic gene expression.
It is highly conserved process of posttranscriptional gene silencing by which double stranded RNA (dsRNA) causes sequence-specific degradation of mRNA sequences.
dsRNA-induced gene silencing (RNAi) is reported in a wide range of eukaryotes ranging from worms, insects, mammals and plants.
This process mediates resistance to both endogenous parasitic and exogenous pathogenic nucleic acids, and regulates the expression of protein-coding genes.
What are small ncRNAs?
micro RNA (miRNA)
short interfering RNA (siRNA)
Properties of small non-coding RNA:
Involved in silencing mRNA transcripts.
Called “small” because they are usually only about 21-24 nucleotides long.
Synthesized by first cutting up longer precursor sequences (like the 61nt one that Lee discovered).
Silence an mRNA by base pairing with some sequence on the mRNA.
Discovery of siRNA?
The first small RNA:
In 1993 Rosalind Lee (Victor Ambros lab) was studying a non- coding gene in C. elegans, lin-4, that was involved in silencing of another gene, lin-14, at the appropriate time in the
development of the worm C. elegans.
Two small transcripts of lin-4 (22nt and 61nt) were found to be complementary to a sequence in the 3' UTR of lin-14.
Because lin-4 encoded no protein, she deduced that it must be these transcripts that are causing the silencing by RNA-RNA interactions.
Types of RNAi ( non coding RNA)
MiRNA
Length (23-25 nt)
Trans acting
Binds with target MRNA in mismatch
Translation inhibition
Si RNA
Length 21 nt.
Cis acting
Bind with target Mrna in perfect complementary sequence
Piwi-RNA
Length ; 25 to 36 nt.
Expressed in Germ Cells
Regulates trnasposomes activity
MECHANISM OF RNAI:
First the double-stranded RNA teams up with a protein complex named Dicer, which cuts the long RNA into short pieces.
Then another protein complex called RISC (RNA-induced silencing complex) discards one of the two RNA strands.
The RISC-docked, single-stranded RNA then pairs with the homologous mRNA and destroys it.
THE RISC COMPLEX:
RISC is large(>500kD) RNA multi- protein Binding complex which triggers MRNA degradation in response to MRNA
Unwinding of double stranded Si RNA by ATP independent Helicase
Active component of RISC is Ago proteins( ENDONUCLEASE) which cleave target MRNA.
DICER: endonuclease (RNase Family III)
Argonaute: Central Component of the RNA-Induced Silencing Complex (RISC)
One strand of the dsRNA produced by Dicer is retained in the RISC complex in association with Argonaute
ARGONAUTE PROTEIN :
1.PAZ(PIWI/Argonaute/ Zwille)- Recognition of target MRNA
2.PIWI (p-element induced wimpy Testis)- breaks Phosphodiester bond of mRNA.)RNAse H activity.
MiRNA:
The Double-stranded RNAs are naturally produced in eukaryotic cells during development, and they have a key role in regulating gene expression .
A brief information about the SCOP protein database used in bioinformatics.
The Structural Classification of Proteins (SCOP) database is a comprehensive and authoritative resource for the structural and evolutionary relationships of proteins. It provides a detailed and curated classification of protein structures, grouping them into families, superfamilies, and folds based on their structural and sequence similarities.
What is greenhouse gasses and how many gasses are there to affect the Earth.moosaasad1975
What are greenhouse gasses how they affect the earth and its environment what is the future of the environment and earth how the weather and the climate effects.
This pdf is about the Schizophrenia.
For more details visit on YouTube; @SELF-EXPLANATORY;
https://www.youtube.com/channel/UCAiarMZDNhe1A3Rnpr_WkzA/videos
Thanks...!
2. The Next Three and a Half Hours
09:00 – 10h30: Part I: Overview of Traditional Demography (Bogdan)
● Standard models
● Standard data sources
10h30 – 11h00: Coffee Break and Network Opportunity
11h00 – 12h30: Part II: New Opportunities for Demography with Digital Data (Ingmar)
● Case studies about fertility, mortality and migration
● More about data sources
3. About Us: Bogdan
Sociology PhD (Stanford), focused on computational
sociology of social ties.
Currently: Graduate Student at Stanford (CS),
Data Scientist at Facebook.
Long-standing interest in migration research.
Articles on measurement of migration with big data,
focus on highly-skilled migration and on social
networks.
4. About Us: Ingmar
Research Director at QCRI.
Started working on demographics of web search
at Yahoo Research Barcelona (2009-2012).
Collaborating with Emilio Zagheni since 2010,
focusing on international migration.
Published seven articles on different aspects of
WWW and demographics.
Serving as ACM Distinguished Speaker,
http://www.dsp.acm.org/view_lecturer.cfm?lecturer_id=7123.
ACM financially supports travel expenses if you want to have me present at you
event.
5. Part II: New Opportunities for
Demography with Digital Data
6. The next 90 minutes
• 16 case studies, i.e. published peer-reviewed papers (~65 min)
- Breadth over depth
- Key idea over methodological details
- Organized by topic: fertility, mortality and migration
• Not-so-obvious data sets, in particular ad audience estimates (~15 min)
- How many Twitter users match criteria X?
• Where to from here and discussion (~10 min)
- What are you working on? How can we help you?
8. “Forecasting Births Using Google”
Francesco C. Billari, Francesco D’Amuri, Juri Marcucci
PAA Annual Meeting; 2013
http://paa2013.princeton.edu/papers/131393
9. Predict Monthly Fertility Rate
Does Google search intensity (GI) for “maternity”, “pregnancy” or “ovulation”
predict (with a lag) monthly birth rates?
New to Google Trends? Example: https://trends.google.com/trends/explore?geo=US&q=healthy%20diet
Looks somewhat promising Also incorporate external factors
10. Model Performance
Fit an autoregressive–moving-average (ARMA) model
Encouraging results, but lots of models were tried. Potentially risk of overfitting.
Correlation with birth rate. GI1 is the monthly average of the
google index for ‘maternity’, GI2 is the monthly average of
the GI for ‘ovulation’, and GI3 is the monthly average of the
GI for ‘pregnancy’. Error rates with and without Google Trends data.
11. “Falsification” Test
Lots of things correlate, either by chance or due to hidden factor
Temporal interest in “skiing” correlated with flu activity
Important: robust selection of key words
Used Google Correlate with 2004-2006 time series data to find most correlated
term. Turned out to be: “KXMB”
KXMB is a local affiliate of CBS (one of the major US commercial broadcasting
TVs) for central and western North Dakota
Tested for prediction power. Got poor results (unlike for their terms).
12. “Fertility and its Meaning: Evidence from Search Behavior”
Jussi Ojala, Emilio Zagheni, Francesco C. Billari, Ingmar Weber
ICWSM; 2017
https://arxiv.org/abs/1703.03935
13. Study Goals
(i) detect evidence for different contexts surrounding different types of fertility;
Teen, low/high income, (un-)married, …
(ii) model regional variation across states for different fertility levels;
What distinguishes Alabama from California from New York?
(iii) track temporal changes in fertility across time.
Train a model across space, predict across time.
15. Different Contexts of Fertility
Discover search terms correlated with different fertility rates across US states
https://www.google.com/trends/correlate/search?e=id:f7PU4mFDWV-&t=all
Remove terms with no conceivable link to sex, pregnancy or maternity
16. Predicting Spatial Variability
Performance of the regression models using
leave-one-out cross-validation. SMAPE is in [%], RMSE
values are multiplied by 1,000.
Use the previous terms to build models
predicting state-level fertility rates
All these models make predictions based on
linear combinations of search intensity
Goal: apply these spatial models across time
17. Learning Across Space, Predicting Across Time
Temporal trend when applying the “teen” model across
time. Values are rescaled to a maximum of 1.0.
Pearson r correlation across 2010-2015 when
using the spatial model to predict trends across
time.
18. “Seasonal Variation in Internet Keyword Searches: A Proxy
Assessment of Sex Mating Behaviors”
Patrick M. Markey, Charlotte N. Markey
Archives of Sexual Behavior; 2013
http://link.springer.com/article/10.1007/s10508-012-9996-5
19. Seasonality of Mating-Related Web Searches
Similar temporal patterns for searches
about (i) prostitution and (ii) dating sites
Births have a (weak) seasonal pattern
Can we detect seasonal mating interest?
20. “Measuring the impact of health policies using Internet search
patterns: the case of abortion”
Ben Y. Reis, John S. Brownstein
BMC Public Health; 2010
http://bmcpublichealth.biomedcentral.com/articles/10.1186/1471-2458-10-514
21. Searches for “abortion” vs. Abortion Rates
Recent data: https://www.google.com/trends/correlate/search?e=id:a-6K3jgcMLM&t=all#
22. The Impact of Policies on Search Behavior
“With regard to the abortion policies available for study, abortion search volume
was significantly higher in states having any of the following four restrictions:
(i) mandatory waiting period, (ii) mandatory counseling, (iii) mandatory parental
notification in the case of minors, and (iv) mandatory parental consent for minors.
Examining abortion availability, abortion search volume was significantly higher in
states where fewer than 10% of counties have providers.”
“These findings are consistent with published evidence that local restrictions on
abortion lead individuals to seek abortion services outside of their area.”
23. “#babyfever: Social and media influences on fertility desires”
Lora E. Adair, Gary L. Brase, Karen Akao, Mackenzie Jantsch
Personality and Individual Differences; 2014
http://www.sciencedirect.com/science/article/pii/S019188691400422X
26. “Data Mining of Online Genealogy Datasets for Revealing
Lifespan Patterns in Human Population”
Michael Fire, Yuval Elovici
ACM Transactions on Intelligent Systems and Technology; 2015
http://dl.acm.org/citation.cfm?doid=2753829.2700464
27. A Wiki Approach to Online Genealogy
Anonymized version available at:
http://proj.ise.bgu.ac.il/sns/wikitree.html
30. “Quantitative analysis of population-scale family trees using
millions of relatives”
Joanna Kaplanis, Assaf Gordon, Mary Wahl, Michael Gershovits, Barak Markus,
Mona Sheikh, Melissa Gymrek, Gaurav Bhatia, Daniel G MarArthur, Alkes Price,
Yaniv Erlich
bioRxiv; 2017
http://biorxiv.org/content/early/2017/02/07/106427
31. Online Genealogy Data - Again
13 million people, after
cleaning, in a single pedigree
Small sample of mitochondria
and Y-STR haplotypes (not
discussed)
Also location information.
Cleaned, de-identified data
available at:
http://familinx.org/
33. Mortality and City Growth
Their model (red) validated against
previous models (Oeppen & Vaupel, black)
34. Mobility Over Time
And a lot more! Check out the paper.
Median migration distance in North American
born individuals as a function of time.
Red: mother-offspring,
blue: father-offspring,
black: marital radius.
Dots represent the data before smoothing.
35. “A New Source of Data for Public Health Surveillance:
Facebook Likes”
Steven Gittelman, Victor Lange, Carol A. G. Crawford, Catherine A. Okoro,
Eugene Lieb, Satvinder S. Dhingra, Elaine Trimarchi
Journal of Medical Internet Research; 2015
http://www.jmir.org/2015/4/e98/
36. Zip-Level “Like” Counts for Different Categories
Data from Facebook’s advertising API.
Details about current API later.
37. Predict County-Level Life Expectancy
Map zip codes to counties
Used 214 counties in
the continental USA
So what are the factors?
38. What are the Nine
Factors?
Examples:
Factor 2 is good for you
Factor 8 is bad for you
39. “A novel web informatics approach for automated
surveillance of cancer mortality trends”
Georgia Tourassi, Hong-Jun Yoon, Songhua Xu
Journal of Biomedical Informatics; 2016
http://www.sciencedirect.com/science/article/pii/S1532046416300181
40. Crawling Cancer-Related Obituaries
Use a web search engine to get seeds
for queries such as “breast cancer
obituary, New York”
Example
Then post-filter
Then lung vs. breast cancer
Then infer age and gender
41. Cancer Mortality Rates from Online Obituaries
Percent of lung cancer deaths per age
group based on SEER data and
obituaries for both genders.
Annual female breast cancer death rates based on
obituaries and on National Vital Statistics Report
(NVSR) for 2008–2012.
42. “Online obituaries are a reliable and valid source of mortality
data”
M. L. Soowamber, J. T. Granton, F. Bavaghar-Zaeimi, S. R. Johnson
Journal of Clinical Epidemiology; 2016
http://www.jclinepi.com/article/S0895-4356(16)30183-4/abstract
43. Let Me Google if My Patient Died …
Discharged patients might die at home without the hospital knowing
Leads to underestimates of mortality for procedures and diseases
Search patients’ first and last names in online obituaries
44. Not Covered in this Tutorial: Digital Mourning
“"We will never forget you [online]": an empirical investigation of post-mortem
myspace comments”; J. R. Brubaker, G. R. Hayes; 2011
“Death and mourning as sources of community participation in online social
networks: R.I.P. pages in Facebook”; A. E. Forman, R. Kern, G. Gil-Egui; 2012
“Does the internet change how we die and mourn? Overview and analysis.”; T.
Walter, R. Hourizi, W. Moncur, S. Pitsillides; 2012
“Beyond the Grave: Facebook as a Site for the Expansion of Death and
Mourning”; J. R. Brubaker, G. R. Hayes, P. Dourish; 2013
46. “You are where you e-mail: using e-mail data to estimate
international migration rates”
Emilio Zagheni, Ingmar Weber
WebSci; 2012
http://dl.acm.org/citation.cfm?doid=2380718.2380764
47. IP Address => Approximate Geolocation
Any online service you
frequently use knows
your coarse-grained
mobility pattern
We used anonymized
data from Yahoo
https://www.maxmind.com/en/geoip-demo
48. Data Collection
Large sample of anonymized Yahoo email meta data (date, hashed user ID, inferred
country), including self-reported birth year and gender
Sent email between September 2009 and June 2011, at least once a month
43 million users, half from the US
Migration: different modal country for [Sep 2009, Jun 2010] and [Jul 2010, Jun 2011]
Also obtained internet penetration for (country, age, gender) group
And migration data for European countries from Eurostat (for calibration)
49. Internet => Young & Educated => More Mobile
Expect a particular type of selection bias:
Highly mobile people are early adopters for internet (and email) use
Introduce an ad-hoc correction factor (CF)
pgac = internet penetration for gender g, age group a and country c
k = factor that controls the strength of the selection bias
Find appropriate k using calibration data for European countries
50. Results for the United States
Red line: after applying correction factor. Top of gray area: estimates from raw data.
The US don’t have good
data on outgoing migration
flows.
Only some data from IRS
on stocks of expats.
51. Sensitivity for Low Internet Penetration Countries
Red line: using k=20 for CF. Gray area: Using k between 5 and 35 for CF.
52. “Studying inter-national mobility through IP geolocation”
Bogdan State, Ingmar Weber, Emilio Zagheni
WSDM; 2013
http://dl.acm.org/citation.cfm?doid=2433396.2433432
53. Data Collection
Anonymized Yahoo log-in information, covering July 2011 to July 2012
Geolocated using IP address, using an average of 100 log in events per user
~10^8 users, 97% in one country, 3% in two countries, 0.23% in more countries
Define migration: 2x 90 days in two countries (223 migrants after cleaning)
Use “outdated” (April 2012) self-declared country-of-residence to define the origin
Normalize out-edges for a given source country:
Given that I’m leaving country X, where do I go?
55. Visualization of Conditional Migration Flows
Black = origin, red = destination, solid lines = “no return”, dashed = some back-and-forth, dotted = pendular
56. “Inferring international and internal migration patterns from
Twitter data”
Emilio Zagheni, Venkata Rama Kiran Garimella, Ingmar Weber, Bogdan State
WWW; 2014
http://dl.acm.org/citation.cfm?doid=2567948.2576930
57. Data Collection
Used Twitter streaming API filter for geo-tagged tweets from OECD countries
Pick 3,000 users per country, get their tweets
Estimate out-migration and oversample countries where migration is rare
Get data for ~500K users
Activity thresholding: 3+ tweets in four-months windows, May 2011->April 2013
Left with ~15K users -> Small!
59. Difference-in-Differences
Out-migration rates clearly an overestimate
Non-representative user set
Selection bias is changing over time
Focus on between-country differences
D D
Also see: “Demographic research with non-representative internet data”, Zagheni & Weber, 2015
60. Results
(Soft) Validation: Ireland out-migration rate grew by 2.2% 2011 -> 2012, more than most
countries (Irish Central Statistics Office)
Mexico also sees a reduction in out-migration (Pew Research Center)
61. “Migration of Professionals to the U.S. - Evidence from
LinkedIn Data”
Bogdan State, Mario Rodriguez, Dirk Helbing, Emilio Zagheni
SocInfo; 2014
http://link.springer.com/chapter/10.1007%2F978-3-319-13734-6_37
62. Data Collection
Data for ~200 million LinkedIn Users
Complete with education level and city/country of education/job
No details about data cleaning/preprocessing included
64. “From Migration Corridors to Clusters: The Value of Google+
Data for Migration Studies”
Johnnatan Messias, Fabricio Benevenuto, Ingmar Weber, Emilio Zagheni
ASONAM; 2016
http://ieeexplore.ieee.org/document/7752269/
65. Beyond Origin-Destination Migration Analysis
I’m a German citizen living in Qatar. So did I migrate from Germany to Qatar?
Yes, according to Qatari border control.
But: Germany (78->99), United Kingdom (99->03),
Germany (03->07), Switzerland (07->09),
Spain (09->12), Qatar (12->now)
Use the “places lived” on Google+
In 2012, no “currently”, just set of places
Get tuples of co-lived countries
67. Expected Cluster Frequencies
Lots of migrant flows on (A,B), (A,C) and (B,C) => expect lots on (A,B,C)
“Expect” = rank clusters according to:
min(freqAB; freqAC; freqBC) * mean(freqAB; freqAC; freqBC)
Best performing ranking approximation (Kendall .565, Spearman .754)
Look at outliers and try to explain those
68. Outlier Frequencies
Look at “expected rank – actual rank”
Middle 20%: “close to expected”
Top 20%: “higher than expected”
Low 20%: “lower than expected”
69. Feature Analysis
More than expected:
(Spain, France, Italy)
(UAE, India, Singapore)
Less than expected:
(Brazil, Mexico, USA)
(Canada, China, UK)
Most discriminative features for 3-class distinction
70. Other Digital Mobility Data: Mobile Phone Data
Mostly used for studying mobility (within a country) rather than migration (across countries). Also
used for socio-economic estimates (such as income estimates).
See work by the following authors for examples (alphabetical order).
Joshua Blumenstock, https://scholar.google.com/citations?user=YpxRngIAAAAJ
Francesco Calabrese, https://scholar.google.com/citations?user=uoI2RgEAAAAJ
Nathan Eagle, https://scholar.google.com/scholar?q=author%3A%22nathan+eagle%22
Cesar Hidalgo, https://scholar.google.com/citations?user=xhCWdtMAAAAJ
Alex ‘Sandy’ Pentland, https://scholar.google.com/citations?user=P4nfoKYAAAAJ
Andrew Tatem, https://scholar.google.com/citations?user=wt8NpZgAAAAJ
71. More Data Sources
Ad Audience Estimates as Digital Census
Please consider citing this tutorial if you should use these data sets and tools. See
the proceedings for citation details. Stay tuned for forthcoming work using this data.
72. Targeted Advertising as a Digital Census
All the Internet giants make money with targeted advertising
It’s in their commercial interest to “understand” their users
Rich data on both demographic and behavioral attributes
Usually not available for outside researchers, but …
Some aggregate “audience estimates” available for advertisers:
How many users/impressions match criteria X?
Supported by (at least) Facebook, Twitter, and Google
73. Facebook’s Advertising Reach Estimates
https://www.facebook.com/ads/manager/creation/creation/
https://developers.facebook.com/docs/marketing-api/buying-api/targeting/v2.8
Easy-to-Use Python code
https://github.com/maraujo/pySocialWatcher
Created by Matheus Araujo at QCRI
Contact me if you want to (i) know about important
details, and (ii) know what’s in the pipeline.
74. Sneak Preview: Estimating Stocks of Migrants
Joint work with Emilio Zagheni and Krishna Gummadi. Currently under review.
77. Using Online Ads to Reach Migrants
Only described use as a passive data source. But can be used as an active
outreach channel. Examples below.
“Migrant Sampling Using Facebook Advertisements A Case Study of Polish:
Migrants in Four European Countries”; S. Pötzschke, M. Braun; 2016
“Using Internet to Recruit Immigrants with Language and Culture Barriers for
Tobacco and Alcohol Use Screening: A Study Among Brazilians”; B. H. Carlini, L.
Safioti, T. C. Rue, L. Miles; 2014
“Reaching and recruiting Turkish migrants for a clinical trial through Facebook: A
process evaluation”; B. Ü. Ince, P. Cuijpers, E. van 't Hof, H. Riper; 2014
78. Google Trends on Steroids
Google Trends does not provide demographic information
Get DMA-level demographic information (race, income, …)
Join with DMA-level Google Trends information
Can potentially give “average income of a web search query over time”
But often sparsity problems, with data only showing for bigger cities (=> bias)
See “The cost of racial animus on a black candidate: Evidence using Google
search data”, Seth Stephens-Davidowitz; Journal of Public Economics; 2014
Also: “Demographic information flows”, Ingmar Weber, Alejandro Jaimes; CIKM 2010
79. Recall: Previously Mentioned Data Sources
Online genealogy projects
Online obituaries
Google Correlate (= upload your own data, discover correlated search terms)
Geotagged tweets
Others?
Baby announcements? Wedding invitations?
80. Enriching Your Data
Demographic Inference 101
Please consider citing this tutorial if you should use these data sets and tools. See
the proceedings for citation details.
81. Demographic Inference – Name Dictionaries
First name gender dictionaries:
https://ideas.repec.org/c/wip/eccode/10.html
http://gender.io/
Contact me for dictionary in “International Gender Differences and Gaps in Online
Social Networks”
Ethnicity Dictionary:
https://www.census.gov/topics/population/genealogy/data/2010_surnames.html
Also see “Inferring Nationalities of Twitter Users and Studying Inter-National Linking”
83. Demographic Inference – Build Your Training Data
FollowerWonk by Moz
https://moz.com/followerwonk/bio
https://moz.com/followerwonk/bio/?q=(38-yr%7C38-yrs%7C38%20years)%20old%0A%0A
84. Where to From Here?*
*Other than lunch
Image from user rculwellmins on Pinterest
85. Where to Go From Here
Slides and references, including unused ones, will be posted at:
https://sites.google.com/site/digitaldemography/
(Annual?) Workshop at ICWSM: Social Media and Demographic Research,
https://sites.google.com/site/smdrworkshop/
Forthcoming special collection on “Social Media and Demographic Research” for
Demographic Research, edited by E. Zagheni (http://www.demographic-
research.org/info/default.htm)
86. Organizations
IUSSP “Big Data and Population Processes” Panel, http://iussp.org/en/panel/big-
data-and-population-processes
See their events
UN Global Pulse, http://unglobalpulse.org/
Data-Pop Alliance, http://datapopalliance.org/
Digital Demography email list at UW,
https://mailman12.u.washington.edu/mailman/listinfo/digital-demog