Csf Russo Seminar2
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This document discusses different levels of analysis in social science and causation. It distinguishes between individual-level analysis, which focuses on individual decisions and behaviors, and aggregate-level analysis, which looks at higher-level groups and systems. Multilevel modeling is presented as a way to reconcile these approaches by including variables from both the individual and aggregate levels. The document also cautions against two fallacies - ecological fallacy of making inferences about individuals based on aggregate data, and atomistic fallacy of inferring higher-level relationships from lower-level data. This is illustrated using an example of migration patterns in Norway.
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Linking Social Change and Developmental Change:
Shifting Pathways of Human Development
Patricia M. Greenfield
University of California, Los Angeles
P. M. Greenfield’s new theory of social change and human development aims to show how changing
sociodemographic ecologies alter cultural values and learning environments and thereby shift
developmental pathways. Worldwide sociodemographic trends include movement from rural resi-
dence, informal education at home, subsistence economy, and low-technology environments to
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frequent) movement of any ecological variable in a Gemeinschaft direction is predicted to move
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environments are not static either in the developed or the developing world and therefore must be
treated dynamically in developmental research.
Keywords: social change, culture, cognitive development, social development, learning
The goal in this article is to develop a theory that links social
change with developmental change. It therefore deals simulta-
neously with two scales of development: change within a lifetime
and change across succeeding generations. In the field of devel-
opmental psychology, one normally thinks of developmental tra-
jectories as a constant across historical time. Indeed, a theoretical
problem is that theory and research in cultural psychology, includ-
ing cultural developmental psychology, assume that cultures are
static rather than dynamic. This article, in contrast, presents a
theory that, paradoxically, sees change in developmental trajec-
tories as the constant. A major goal of the theory of social
change and human development is to explain how, as sociode-
mographic conditions change, cultural values and developmen-
tal patterns are transformed across generations. Because socio-
demographic conditions are changing throughout the world—in
the direction of greater urbanization, higher levels of formal
schooling, increasing commercialization, and ever higher levels
of technology—the influence of social change on developmen-
tal patterns is an important domain in which theory is needed to
guide empirical research and to understand children and youths
in the United States and around the world.
A major strength of the theory of social change and human
development is.
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Subject: Permission for data collection from the Bandhu organization for research on transgender health-seeking behavior.
Sir,
I'm conducting a research on transgender health-seeking behavior under the supervision of Avijit Chakrabarty Ayon (Assistant Professor, Sociology, SUST). Therefore, I need to collect data from the Bandhu Social Welfare Society.
For this purpose, I need to conduct this research and your permission to collect data from the Bandhu social welfare society.
Best regard,
Aset Ahmed Khan Oyon
Reg no: 2021222027
Department of Sociology
Shahjalal University of Science and Technology, Sylhet
The head of the Department, Sociology
Shahjalal University of Science and Technology, Sylhet
Subject: Permission for data collection from the Bandhu organization for research on transgender health-seeking behavior.
Sir,
I'm conducting a research on transgender health-seeking behavior under the supervision of Avijit Chakrabarty Ayon (Assistant Professor, Sociology, SUST). Therefore, I need to collect data from the Bandhu Social Welfare Society.
For this purpose, I need to conduct this research and your permission to collect data from the Bandhu social welfare society.
Best regard,
Aset Ahmed Khan Oyon
Reg no: 2021222027
Department of Sociology
Shahjalal University of Science and Technology, Sylhet
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BIAS AND EQUIVALENCE
In designing and evaluating cross-cultural research, no concepts are more important than equivalenceand bias. Bias refers to differences that do not have exactly the same meaning within and across cultures. Equivalence is a state or condition of similarity in conceptual meaning and empirical method between cultures that allows comparisons to be meaningful. These constructs go hand in hand; bias refers to a state of non-equivalence, and equivalence refers to a state of no bias.
In its strictest sense, if there is any bias in any aspect of a cross-cultural comparative study, then the comparison loses its meaning (and may in fact be meaningless). Bias (or lack of equivalence) in a cross-cultural study creates the proverbial situation of comparing apples and oranges. Only if the theoretical framework and hypotheses have equivalent meaning in the cultures being compared—and if the methods of data collection, management, and analysis have equivalent meaning—will the results from that comparison be meaningful. Apples in one culture can be compared only to apples in another.
Thus it’s important for cross-cultural researchers to understand the many aspects of their studies that may be culturally biased and work to establish equivalence in them. Below we discuss five major areas of bias: conceptual bias, method bias, measurement bias, response bias, and interpretational bias.
Conceptual Bias
A major concern of cross-cultural research is the equivalence in meaning of the overall theoretical framework being tested and the specific hypotheses being addressed in the first place. If these are not equivalent across the cultures participating in the study, then the data obtained from them are not comparable because they mean different things. If, however, the theoretical framework and hypotheses are equivalent across the participating cultures, the study may be meaningful and relevant.
For example, people trained to do research in the United States or Europe may be bound by a sense of “logical determinism” and “rationality” that is characteristic of such formal and systematic educational systems. In addition, because we are so used to drawing two-dimensional theories of behavior on paper, that medium affects the way we think about people and psychology. People of other cultures who have not been exposed to such an educational system or who are not used to reducing their thoughts about the world onto a two-dimensional space may not think in the same way. If this is the case, then a real question arises as to whether a theory created within a Western European or American cultural framework is meaningful in the same way to people who do not share that culture. If the theory is not meaningful in the same way, then it is not equivalent.
Method Bias
Sampling Bias
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Many of the differences in employee motivation, management styles, and
organizational structures of companies throughout the world can be
traced to differences in the collective mental programming
of people in different national cultures.
Motivation, Leadership,
and Organization:
Do American Theories
Apply Abroad?
Geert Hofstede
well-known experiment used in organiza-
tional behavior courses involves showing the
class an ambiguous picture—one that can be
interpreted in two different ways. One such
picture represents either an attractive young
girl or an ugly old woman, depending on the
way you look at it. Some of my colleagues
and I use the experiment, which demon-
strates how different people in the same situ-
ation may perceive quite different things.
We start by asking half of the class to close
their eyes while we show the other half a
slightly altered version of the picture—one in
which only the young girl can be seen—for
only five seconds. Then we ask those who
just saw the young girl's picture to close their
eyes while we give the other half of the class
a five-second look at a version in which only
the old woman can be seen. After this
preparation we show the ambiguous picture
to everyone at the same time.
The results are amazing—most of
those "conditioned" by seeing the young girl
first see only the young girl in the ambiguous
42
Organizational Dynamics, Surfimer 1980. © 1980, AMACOM, a division of
American Munagement Associations. All rights reserved. 0090-2616/80/0014-0042/$02.00/0
picture, and those "conditioned" by seeing
the old woman tend to see only the old
woman. We then ask one of those who per-
ceive the old woman to explain to one of
those who perceive the young girl what he or
she sees, and vice versa, until everyone
finally sees both images in the picture. Each
group usually finds it very difficult to get its
views across to the other one and sometimes
there's considerable irritation at how
"stupid" the other group is.
CULTURAL CONDITIONING
I use this experiment to introduce a discus-
sion on cultural conditioning. Basically, it
shows that in five seconds 1 can condition
half a class to see something different from
what the other half sees. If this is so in the
simple classroom situation, how much
stronger should differences in perception of
the same reality be between people who have
been conditioned by different education and
life experience—not for five seconds, but for
twenty, thirty, or forty years?
I define culture as the collective
mental programming of the people in an en-
vironment. Culture is not a characteristic of
individuals; it encompasses a number of
people who were conditioned by the same
education and life experience. When we
speak of the culture of a group, a tribe, a
geographical region, a national minority, or
a nation, culture refers to the collective
mental programming that these people have
in common; the programming that is differ-
ent from that of other groups, tribes,
regions, minor.
1. week 1
This document discusses descriptive and inferential statistics. Descriptive statistics involves collecting, organizing and summarizing data, while inferential statistics involves generalizing from samples to populations and making predictions. Examples of descriptive statistics include mean sales and discount rates, while examples of inferential statistics include predicting life satisfaction and the relationship between awareness and resiliency. The document also covers variables, levels of measurement, and types of data.
This is a homework example we are trying to do Please help!! PLE.pdf
This is a homework example we are trying to do Please help!!
PLEASE USE \"R\" SOFTWARE TO ANSWER
_____________________________________________________________________
In class this week, we have started analysing data from the General Social Survey, located at
GSS website.
For this week\'s homework, go over all variables in the GSS extract economical-status.csv, and
clean up the variables in the manner started in class. You will need to double-check with the GSS
website to find out more about levels and their interpretation. If unsure about how to proceed,
decide on the way that you think is the most appropriate and write a comment on it in your R
script.
Using graphical methods from the ggplot2 library to highlight a trend between variables that is
changing over the time frame. Write a paragraph on it (as R comment).
Browse through the variables available at the GSS website and identify up to three variables (at
least one), that is in your opinion a good measure of economical status, but not included in the
extract yet.
Solution
\'Sociology\' is the study of society. It is a social science (a term with which it is
sometimes synonymous) which uses various methods of empirical investigation[1] and critical
analysis[2] to develop a body of knowledge about human social activity. For many sociologists
the goal is to conduct research which may be applied directly to social policy and welfare, while
others focus primarily on refining the theoretical understanding of social processes. Subject
matter ranges from the micro level of individual agency and interaction to the macro level of
systems and the social structure. The traditional focuses of sociology have included social
stratification, social class, culture, social mobility, religion, secularisation, law, and deviance. As
all spheres of human activity are affected by the interplay between social structure and individual
agency, sociology has gradually expanded its focus to further subjects, such as health, medical,
military and penal institutions, the Internet, and the role of social activity in the development of
scientific knowledge. The range of social scientific methods has also expanded. Social
researchers draw upon a variety of qualitative and quantitative techniques. The linguistic and
cultural turns of the mid-twentieth century led to increasingly interpretative, hermeneutic, and
philosophic approaches to the analysis of society. Conversely, recent decades have seen the rise
of new analytically, mathematically and computationally rigorous techniques, such as agent-
based modelling and social network analysis. Sociology should not be confused with various
general social studies courses which bear little relation to sociological theory or social science
research methodology.
Public Health Prez Eng
1. Public health is an interdisciplinary concept that reflects the interaction between biological health and society. It is a multidimensional, two-component system with mass characteristics.
2. Public health can be measured using various indicators related to health needs, health activities, and health relations in a population. Valid indicators of public health should be measurable, reliable, sensitive, specific, applicable, and relevant.
3. There are different types of public health indicators including rates, ratios, and proportions to assess demographic characteristics, disease processes, physical health status, and social/environmental factors that influence population health. Both static and dynamic indicators are used.
H-AI-BRID - Thinking and designing Human-AI systems
H-AI-BRID - Thinking and designing Human-AI systemsUniversity of Amsterdam and University College London
Center for Cyber-Social Dynamcis Workshop, Department of Philosophy and Institute for Interdisciplinary Studies, UvATime in QCA: a philosopher’s perspective
This document discusses the role of time in qualitative comparative analysis (QCA). It makes three key points:
1) Including temporal information can help establish causal ordering and distinguish causal roles by breaking the symmetry of correlation in a longitudinal perspective.
2) When including time in QCA, it needs to be determined whether the configuration is static or dynamic, and if dynamic, whether it has evolved over time or is a new configuration to compare to previous ones.
3) While causal relations necessarily occur over time, with causes preceding effects, the temporal ordering of data used in QCA may not provide direct epistemic access and could be impacted by issues like data collection methods and latency.
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frequent) movement of any ecological variable in a Gemeinschaft direction is predicted to move
cultural values and developmental pathways in the opposite direction. In conclusion, sociocultural
environments are not static either in the developed or the developing world and therefore must be
treated dynamically in developmental research.
Keywords: social change, culture, cognitive development, social development, learning
The goal in this article is to develop a theory that links social
change with developmental change. It therefore deals simulta-
neously with two scales of development: change within a lifetime
and change across succeeding generations. In the field of devel-
opmental psychology, one normally thinks of developmental tra-
jectories as a constant across historical time. Indeed, a theoretical
problem is that theory and research in cultural psychology, includ-
ing cultural developmental psychology, assume that cultures are
static rather than dynamic. This article, in contrast, presents a
theory that, paradoxically, sees change in developmental trajec-
tories as the constant. A major goal of the theory of social
change and human development is to explain how, as sociode-
mographic conditions change, cultural values and developmen-
tal patterns are transformed across generations. Because socio-
demographic conditions are changing throughout the world—in
the direction of greater urbanization, higher levels of formal
schooling, increasing commercialization, and ever higher levels
of technology—the influence of social change on developmen-
tal patterns is an important domain in which theory is needed to
guide empirical research and to understand children and youths
in the United States and around the world.
A major strength of the theory of social change and human
development is.
Biostatics
This document discusses data collection techniques and statistics. It defines statistics and differentiates between descriptive and inferential statistics. It describes various sources of data, including primary and secondary sources. Techniques for collecting primary data are discussed, including observation, questionnaires, and interviews. It defines variables and different types of variables. Methods for revising and correcting data to avoid errors are also presented.
Research methodology & research designs & techniques
This document provides an overview of three research methodologies: idiographic research, probabilistic approaches, and descriptive research. Idiographic research focuses on understanding individual cases rather than making generalizations. Examples include case studies and biographical research. Probabilistic approaches use probability and statistics to model data and make inferences, as seen in Bayesian inference and Monte Carlo simulations. Descriptive research aims to describe situations accurately through classification and measurement in order to answer what, where, when and how questions.
Mesoudi et al
The document argues that culture can and should be studied within an evolutionary framework using scientific methodologies from biology. It outlines how concepts from fields like population genetics, molecular genetics, and evolutionary ecology can be applied to understand cultural evolution. While culture is more complex than biology, simplifying models have benefited biology and could also help cultural evolution sciences accumulate knowledge and progress. Key differences between biological and cultural inheritance must also be considered.
Introductory_Statistics_Masters student (1).ppt
The head of the Department, Sociology
Shahjalal University of Science and Technology, Sylhet
Subject: Permission for data collection from the Bandhu organization for research on transgender health-seeking behavior.
Sir,
I'm conducting a research on transgender health-seeking behavior under the supervision of Avijit Chakrabarty Ayon (Assistant Professor, Sociology, SUST). Therefore, I need to collect data from the Bandhu Social Welfare Society.
For this purpose, I need to conduct this research and your permission to collect data from the Bandhu social welfare society.
Best regard,
Aset Ahmed Khan Oyon
Reg no: 2021222027
Department of Sociology
Shahjalal University of Science and Technology, Sylhet
The head of the Department, Sociology
Shahjalal University of Science and Technology, Sylhet
Subject: Permission for data collection from the Bandhu organization for research on transgender health-seeking behavior.
Sir,
I'm conducting a research on transgender health-seeking behavior under the supervision of Avijit Chakrabarty Ayon (Assistant Professor, Sociology, SUST). Therefore, I need to collect data from the Bandhu Social Welfare Society.
For this purpose, I need to conduct this research and your permission to collect data from the Bandhu social welfare society.
Best regard,
Aset Ahmed Khan Oyon
Reg no: 2021222027
Department of Sociology
Shahjalal University of Science and Technology, Sylhet
case study
This document discusses case study research and provides definitions and examples to distinguish it from other research approaches. It defines a case study as an intensive approach that examines a specific instance or small number of instances of a social phenomenon in great depth using multiple sources of information. The goal is to provide an in-depth understanding of how the phenomenon develops within a specific case, which can provide insights and ideas for further research, rather than making broad generalizations. It contrasts this with an extensive approach, which collects standardized data from a large number of instances to identify patterns and correlations across many cases.
Berger ca8e lecch1
The document provides an overview of key concepts in developmental science, including:
1) Developmental science seeks to understand how and why people change over time using empirical research and the scientific method.
2) Development is influenced by both nature and nurture, as well as multiple contexts like family, history, culture, and society.
3) Researchers use various methods like observation, experiments, surveys and case studies to test hypotheses and further our understanding of human development.
COG_PSYCH_FINAL_PAPER
This document summarizes a proposed study that examines the impact of group immigration on the reminiscence bump phenomenon. The study would involve 120 Latin American immigrants aged 40-70 who would recall autobiographical memories from their earliest memory to present day. Participants would be divided based on whether they immigrated alone or with family, and at different ages (20-25, 26-30, 31-35). The study aims to determine if those who immigrated with family would recall more memories from the immigration period, compared to those who immigrated alone, due to increased social interaction and memory rehearsal among family members. Results would be analyzed to look for differences in memory detail, search strategies, emotion, and identification of transitional events
Cmss Vi Nations Units Analysis
The document discusses nation-states as units of analysis in social research. It distinguishes between aggregate, structural, and global properties of countries that can be measured as variables. Some key challenges are the small number of cases, lack of independence between units, and treating unequal units like countries as equivalent. Economic development is measured by GDP/GNP while social development uses indices like HDI. Political development is assessed using scales of democracy, regime types, and public perception.
When Two Worlds Finally Meet: Merging the Socio-Cognitive Perspective on Use...
1. The document discusses merging the uses-and-gratifications perspective on media consumption with domestication research to better understand how context affects audiovisual media use.
2. A large survey identified three clusters of consumers based on social and spatial viewing contexts, and structural equation models examined whether habits or expected outcomes better explained viewing behavior.
3. Follow-up ethnographic interviews provided insight into the quantitative results and found a lifespan perspective on viewing contexts and behaviors.
Hofstede and globe the ecological fallacy
The document discusses the ecological fallacy in relation to theories of national culture that depict cultures as uniform value dimensions. It argues that inferring characteristics of individuals or subgroups from aggregate national data is illogical and can lead to false results, as what is true at the national level is not necessarily true at lower levels within countries due to intra-country diversity. The document provides examples to illustrate the ecological fallacy and argues that claims of national culture determinism are implausible given causal complexity and varieties of culture, values, and individual psychology within countries. Overall, the document critically examines the common reliance on the ecological fallacy in theories of national culture.
Rotterdam 2013
This document discusses the ecological fallacy that occurs when characteristics observed at an aggregate level, such as the national level, are incorrectly assumed to apply to lower levels of analysis, such as individuals, groups, or organizations within that same nation. The document argues that depictions of "national culture" based on aggregate data, such as Hofstede's and GLOBE's cultural dimensions, cannot be validly applied to sub-national levels due to the ecological fallacy. While aggregate data may reveal national-level trends, very little variance in individual-level attributes is actually explained by nationality alone. Relying on the ecological fallacy can thus lead to false characterizations and invalid generalizations across levels of analysis.
BIAS AND EQUIVALENCEIn designing and evaluating cross-cultural r.docx
BIAS AND EQUIVALENCE
In designing and evaluating cross-cultural research, no concepts are more important than equivalenceand bias. Bias refers to differences that do not have exactly the same meaning within and across cultures. Equivalence is a state or condition of similarity in conceptual meaning and empirical method between cultures that allows comparisons to be meaningful. These constructs go hand in hand; bias refers to a state of non-equivalence, and equivalence refers to a state of no bias.
In its strictest sense, if there is any bias in any aspect of a cross-cultural comparative study, then the comparison loses its meaning (and may in fact be meaningless). Bias (or lack of equivalence) in a cross-cultural study creates the proverbial situation of comparing apples and oranges. Only if the theoretical framework and hypotheses have equivalent meaning in the cultures being compared—and if the methods of data collection, management, and analysis have equivalent meaning—will the results from that comparison be meaningful. Apples in one culture can be compared only to apples in another.
Thus it’s important for cross-cultural researchers to understand the many aspects of their studies that may be culturally biased and work to establish equivalence in them. Below we discuss five major areas of bias: conceptual bias, method bias, measurement bias, response bias, and interpretational bias.
Conceptual Bias
A major concern of cross-cultural research is the equivalence in meaning of the overall theoretical framework being tested and the specific hypotheses being addressed in the first place. If these are not equivalent across the cultures participating in the study, then the data obtained from them are not comparable because they mean different things. If, however, the theoretical framework and hypotheses are equivalent across the participating cultures, the study may be meaningful and relevant.
For example, people trained to do research in the United States or Europe may be bound by a sense of “logical determinism” and “rationality” that is characteristic of such formal and systematic educational systems. In addition, because we are so used to drawing two-dimensional theories of behavior on paper, that medium affects the way we think about people and psychology. People of other cultures who have not been exposed to such an educational system or who are not used to reducing their thoughts about the world onto a two-dimensional space may not think in the same way. If this is the case, then a real question arises as to whether a theory created within a Western European or American cultural framework is meaningful in the same way to people who do not share that culture. If the theory is not meaningful in the same way, then it is not equivalent.
Method Bias
Sampling Bias
There are two issues with regard to sampling bias, which refers to whether cross-cultural samples can be compared. One concerns whether the samples are appropriate representatives of t ...
Melissa Leach - Imagining and negotiating pathways in an age of anxiety and i...
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http://www.crassh.cam.ac.uk/events/1133
Many of the differences in employee motivation, management sty.docx
Many of the differences in employee motivation, management styles, and
organizational structures of companies throughout the world can be
traced to differences in the collective mental programming
of people in different national cultures.
Motivation, Leadership,
and Organization:
Do American Theories
Apply Abroad?
Geert Hofstede
well-known experiment used in organiza-
tional behavior courses involves showing the
class an ambiguous picture—one that can be
interpreted in two different ways. One such
picture represents either an attractive young
girl or an ugly old woman, depending on the
way you look at it. Some of my colleagues
and I use the experiment, which demon-
strates how different people in the same situ-
ation may perceive quite different things.
We start by asking half of the class to close
their eyes while we show the other half a
slightly altered version of the picture—one in
which only the young girl can be seen—for
only five seconds. Then we ask those who
just saw the young girl's picture to close their
eyes while we give the other half of the class
a five-second look at a version in which only
the old woman can be seen. After this
preparation we show the ambiguous picture
to everyone at the same time.
The results are amazing—most of
those "conditioned" by seeing the young girl
first see only the young girl in the ambiguous
42
Organizational Dynamics, Surfimer 1980. © 1980, AMACOM, a division of
American Munagement Associations. All rights reserved. 0090-2616/80/0014-0042/$02.00/0
picture, and those "conditioned" by seeing
the old woman tend to see only the old
woman. We then ask one of those who per-
ceive the old woman to explain to one of
those who perceive the young girl what he or
she sees, and vice versa, until everyone
finally sees both images in the picture. Each
group usually finds it very difficult to get its
views across to the other one and sometimes
there's considerable irritation at how
"stupid" the other group is.
CULTURAL CONDITIONING
I use this experiment to introduce a discus-
sion on cultural conditioning. Basically, it
shows that in five seconds 1 can condition
half a class to see something different from
what the other half sees. If this is so in the
simple classroom situation, how much
stronger should differences in perception of
the same reality be between people who have
been conditioned by different education and
life experience—not for five seconds, but for
twenty, thirty, or forty years?
I define culture as the collective
mental programming of the people in an en-
vironment. Culture is not a characteristic of
individuals; it encompasses a number of
people who were conditioned by the same
education and life experience. When we
speak of the culture of a group, a tribe, a
geographical region, a national minority, or
a nation, culture refers to the collective
mental programming that these people have
in common; the programming that is differ-
ent from that of other groups, tribes,
regions, minor.
1. week 1
This document discusses descriptive and inferential statistics. Descriptive statistics involves collecting, organizing and summarizing data, while inferential statistics involves generalizing from samples to populations and making predictions. Examples of descriptive statistics include mean sales and discount rates, while examples of inferential statistics include predicting life satisfaction and the relationship between awareness and resiliency. The document also covers variables, levels of measurement, and types of data.
This is a homework example we are trying to do Please help!! PLE.pdf
This is a homework example we are trying to do Please help!!
PLEASE USE \"R\" SOFTWARE TO ANSWER
_____________________________________________________________________
In class this week, we have started analysing data from the General Social Survey, located at
GSS website.
For this week\'s homework, go over all variables in the GSS extract economical-status.csv, and
clean up the variables in the manner started in class. You will need to double-check with the GSS
website to find out more about levels and their interpretation. If unsure about how to proceed,
decide on the way that you think is the most appropriate and write a comment on it in your R
script.
Using graphical methods from the ggplot2 library to highlight a trend between variables that is
changing over the time frame. Write a paragraph on it (as R comment).
Browse through the variables available at the GSS website and identify up to three variables (at
least one), that is in your opinion a good measure of economical status, but not included in the
extract yet.
Solution
\'Sociology\' is the study of society. It is a social science (a term with which it is
sometimes synonymous) which uses various methods of empirical investigation[1] and critical
analysis[2] to develop a body of knowledge about human social activity. For many sociologists
the goal is to conduct research which may be applied directly to social policy and welfare, while
others focus primarily on refining the theoretical understanding of social processes. Subject
matter ranges from the micro level of individual agency and interaction to the macro level of
systems and the social structure. The traditional focuses of sociology have included social
stratification, social class, culture, social mobility, religion, secularisation, law, and deviance. As
all spheres of human activity are affected by the interplay between social structure and individual
agency, sociology has gradually expanded its focus to further subjects, such as health, medical,
military and penal institutions, the Internet, and the role of social activity in the development of
scientific knowledge. The range of social scientific methods has also expanded. Social
researchers draw upon a variety of qualitative and quantitative techniques. The linguistic and
cultural turns of the mid-twentieth century led to increasingly interpretative, hermeneutic, and
philosophic approaches to the analysis of society. Conversely, recent decades have seen the rise
of new analytically, mathematically and computationally rigorous techniques, such as agent-
based modelling and social network analysis. Sociology should not be confused with various
general social studies courses which bear little relation to sociological theory or social science
research methodology.
Public Health Prez Eng
1. Public health is an interdisciplinary concept that reflects the interaction between biological health and society. It is a multidimensional, two-component system with mass characteristics.
2. Public health can be measured using various indicators related to health needs, health activities, and health relations in a population. Valid indicators of public health should be measurable, reliable, sensitive, specific, applicable, and relevant.
3. There are different types of public health indicators including rates, ratios, and proportions to assess demographic characteristics, disease processes, physical health status, and social/environmental factors that influence population health. Both static and dynamic indicators are used.
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This is a homework example we are trying to do Please help!! PLE.pdf
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Digital Marketing Trends in 2024 | Guide for Staying Ahead
https://www.wask.co/ebooks/digital-marketing-trends-in-2024
Feeling lost in the digital marketing whirlwind of 2024? Technology is changing, consumer habits are evolving, and staying ahead of the curve feels like a never-ending pursuit. This e-book is your compass. Dive into actionable insights to handle the complexities of modern marketing. From hyper-personalization to the power of user-generated content, learn how to build long-term relationships with your audience and unlock the secrets to success in the ever-shifting digital landscape.
Introduction of Cybersecurity with OSS at Code Europe 2024
I develop the Ruby programming language, RubyGems, and Bundler, which are package managers for Ruby. Today, I will introduce how to enhance the security of your application using open-source software (OSS) examples from Ruby and RubyGems.
The first topic is CVE (Common Vulnerabilities and Exposures). I have published CVEs many times. But what exactly is a CVE? I'll provide a basic understanding of CVEs and explain how to detect and handle vulnerabilities in OSS.
Next, let's discuss package managers. Package managers play a critical role in the OSS ecosystem. I'll explain how to manage library dependencies in your application.
I'll share insights into how the Ruby and RubyGems core team works to keep our ecosystem safe. By the end of this talk, you'll have a better understanding of how to safeguard your code.
Generating privacy-protected synthetic data using Secludy and Milvus
During this demo, the founders of Secludy will demonstrate how their system utilizes Milvus to store and manipulate embeddings for generating privacy-protected synthetic data. Their approach not only maintains the confidentiality of the original data but also enhances the utility and scalability of LLMs under privacy constraints. Attendees, including machine learning engineers, data scientists, and data managers, will witness first-hand how Secludy's integration with Milvus empowers organizations to harness the power of LLMs securely and efficiently.
Energy Efficient Video Encoding for Cloud and Edge Computing Instances
Energy Efficient Video Encoding for Cloud and Edge Computing Instances
Your One-Stop Shop for Python Success: Top 10 US Python Development Providers
Simplify your search for a reliable Python development partner! This list presents the top 10 trusted US providers offering comprehensive Python development services, ensuring your project's success from conception to completion.
HCL Notes and Domino License Cost Reduction in the World of DLAU
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-and-domino-license-cost-reduction-in-the-world-of-dlau/
The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this!
We’ll show you how to fix common misconfigurations that cause higher-than-expected user counts, and how to identify accounts which you can deactivate to save money. There are also frequent patterns that can cause unnecessary cost, like using a person document instead of a mail-in for shared mailboxes. We’ll provide examples and solutions for those as well. And naturally we’ll explain the new licensing model.
Join HCL Ambassador Marc Thomas in this webinar with a special guest appearance from Franz Walder. It will give you the tools and know-how to stay on top of what is going on with Domino licensing. You will be able lower your cost through an optimized configuration and keep it low going forward.
These topics will be covered
- Reducing license cost by finding and fixing misconfigurations and superfluous accounts
- How do CCB and CCX licenses really work?
- Understanding the DLAU tool and how to best utilize it
- Tips for common problem areas, like team mailboxes, functional/test users, etc
- Practical examples and best practices to implement right away
OpenID AuthZEN Interop Read Out - Authorization
During Identiverse 2024 and EIC 2024, members of the OpenID AuthZEN WG got together and demoed their authorization endpoints conforming to the AuthZEN API
みなさんこんにちはこれ何文字まで入るの？40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの？えこ...
ここ3000字までしか入らないけどタイトルの方がたくさん文字入ると思います。
TrustArc Webinar - 2024 Global Privacy Survey
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
- The top challenges for privacy leaders, practitioners, and organizations in 2024
- Key themes to consider in developing and maintaining your privacy program
Salesforce Integration for Bonterra Impact Management (fka Social Solutions A...
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on integration of Salesforce with Bonterra Impact Management.
Interested in deploying an integration with Salesforce for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Taking AI to the Next Level in Manufacturing.pdf
Read Taking AI to the Next Level in Manufacturing to gain insights on AI adoption in the manufacturing industry, such as:
1. How quickly AI is being implemented in manufacturing.
2. Which barriers stand in the way of AI adoption.
3. How data quality and governance form the backbone of AI.
4. Organizational processes and structures that may inhibit effective AI adoption.
6. Ideas and approaches to help build your organization's AI strategy.
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?
ABSTRACT: A prima vista, un mattoncino Lego e la backdoor XZ potrebbero avere in comune il fatto di essere entrambi blocchi di costruzione, o dipendenze di progetti creativi e software. La realtà è che un mattoncino Lego e il caso della backdoor XZ hanno molto di più di tutto ciò in comune.
Partecipate alla presentazione per immergervi in una storia di interoperabilità, standard e formati aperti, per poi discutere del ruolo importante che i contributori hanno in una comunità open source sostenibile.
BIO: Sostenitrice del software libero e dei formati standard e aperti. È stata un membro attivo dei progetti Fedora e openSUSE e ha co-fondato l'Associazione LibreItalia dove è stata coinvolta in diversi eventi, migrazioni e formazione relativi a LibreOffice. In precedenza ha lavorato a migrazioni e corsi di formazione su LibreOffice per diverse amministrazioni pubbliche e privati. Da gennaio 2020 lavora in SUSE come Software Release Engineer per Uyuni e SUSE Manager e quando non segue la sua passione per i computer e per Geeko coltiva la sua curiosità per l'astronomia (da cui deriva il suo nickname deneb_alpha).
AI 101: An Introduction to the Basics and Impact of Artificial Intelligence
Imagine a world where machines not only perform tasks but also learn, adapt, and make decisions. This is the promise of Artificial Intelligence (AI), a technology that's not just enhancing our lives but revolutionizing entire industries.
Columbus Data & Analytics Wednesdays - June 2024
Columbus Data & Analytics Wednesdays, June 2024 with Maria Copot 20
Driving Business Innovation: Latest Generative AI Advancements & Success Story
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
Recently uploaded (20)
Digital Marketing Trends in 2024 | Guide for Staying Ahead
Digital Marketing Trends in 2024 | Guide for Staying Ahead
Introduction of Cybersecurity with OSS at Code Europe 2024
Introduction of Cybersecurity with OSS at Code Europe 2024
Generating privacy-protected synthetic data using Secludy and Milvus
Generating privacy-protected synthetic data using Secludy and Milvus
Energy Efficient Video Encoding for Cloud and Edge Computing Instances
Energy Efficient Video Encoding for Cloud and Edge Computing Instances
Your One-Stop Shop for Python Success: Top 10 US Python Development Providers
Your One-Stop Shop for Python Success: Top 10 US Python Development Providers
HCL Notes and Domino License Cost Reduction in the World of DLAU
HCL Notes and Domino License Cost Reduction in the World of DLAU
みなさんこんにちはこれ何文字まで入るの？40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの？えこ...
みなさんこんにちはこれ何文字まで入るの？40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの？えこ...
Salesforce Integration for Bonterra Impact Management (fka Social Solutions A...
Salesforce Integration for Bonterra Impact Management (fka Social Solutions A...
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?
AI 101: An Introduction to the Basics and Impact of Artificial Intelligence
AI 101: An Introduction to the Basics and Impact of Artificial Intelligence
Driving Business Innovation: Latest Generative AI Advancements & Success Story
Driving Business Innovation: Latest Generative AI Advancements & Success Story
Csf Russo Seminar2
- 1. Levels of causation and the interpretation of probability Seminar 2 Federica Russo Philosophy, Louvain & Kent
- 9. Multilevel models response variable explanatory variable at the individual level explanatory variable at the group level i : index for the individuals j : index for the group those vary depending on the group Errors are independent at each level and between levels
- 10. Compare Classical multiple regression model Multilevel model
Editor's Notes
- Farmers have low chances of migration, however, as the percentage of farmers increases, they will start to migrate more thus raising the overall probability of migration in the whole population. The multilevel model allows the proportion of farmers in the population to be a cause of a particular farmer migrating.