Design of experiments is the most common Research design will wide reliability. It is mostly applicable in scientific lab type of research. This method is not applicable for descriptive research.
It involves both qualitative and quantitative data sets. The researchers can manipulate, control, replicate and randomize the experimental variables.
There are several types of experimental design depending on the selection of control, test and standard groups and their experimental setting.
The slides also show the guidelines regarding design of research proposal, Literature survey and important ethics in research. Guiding protocol to prepare a research and review article is also discussed.
Common Method Variance Detection in Business Research Renzo Del Giudice
Please cite the respective authors of this journal article: Fuller, C.M., et al. (2015). Common Method Variance Detection in Business Research. Journal of Business Research. DOI: 10.1016/j.jbusres.2015.12.008
Mixed methods are very important in the Education field.
In mixed methods, both approaches, quantitative & qualitative are used. In mixed methods, the researcher gets advantages of both approaches & the research becomes more meaningful & comprehensive. In this presentation, types of mixed methods, when to use mixed methods, and examples of different types of mixed methods are discussed. The information given is from the famous book written by J.W. Cresswell.
Design of experiments is the most common Research design will wide reliability. It is mostly applicable in scientific lab type of research. This method is not applicable for descriptive research.
It involves both qualitative and quantitative data sets. The researchers can manipulate, control, replicate and randomize the experimental variables.
There are several types of experimental design depending on the selection of control, test and standard groups and their experimental setting.
The slides also show the guidelines regarding design of research proposal, Literature survey and important ethics in research. Guiding protocol to prepare a research and review article is also discussed.
Common Method Variance Detection in Business Research Renzo Del Giudice
Please cite the respective authors of this journal article: Fuller, C.M., et al. (2015). Common Method Variance Detection in Business Research. Journal of Business Research. DOI: 10.1016/j.jbusres.2015.12.008
Mixed methods are very important in the Education field.
In mixed methods, both approaches, quantitative & qualitative are used. In mixed methods, the researcher gets advantages of both approaches & the research becomes more meaningful & comprehensive. In this presentation, types of mixed methods, when to use mixed methods, and examples of different types of mixed methods are discussed. The information given is from the famous book written by J.W. Cresswell.
How to Research
Everybody who want to write research papers , articles , review paper are need to learn some rules for it . These slides will help them alot.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Generating a custom Ruby SDK for your web service or Rails API using Smithyg2nightmarescribd
Have you ever wanted a Ruby client API to communicate with your web service? Smithy is a protocol-agnostic language for defining services and SDKs. Smithy Ruby is an implementation of Smithy that generates a Ruby SDK using a Smithy model. In this talk, we will explore Smithy and Smithy Ruby to learn how to generate custom feature-rich SDKs that can communicate with any web service, such as a Rails JSON API.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
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 the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
2. OUTLINE
Introduction
Causation in the Social Science
Validity and Causal Inference
Units of Analysis
The Time Dimension
How to Design a Research Project
The Research Proposal
3. 3
•Causation, units, and time are key elements in
planning a research study
•As social scientists, we seek to explain the causes
of some phenomenon (e.g., crime)
•Often, criminal justice researchers want to find out
something that involves questions of cause and
effect
4. 4
•Causation is the focus of explanatory research
•Cause in social science is inherently
probabilistic
•Certain factors make crime/delinquency more or
less likely within groups of people
•Two models of explanation
•Ideographic – Lists the many, perhaps unique
considerations behind an action
•Nomothetic – Lists the most important (and
fewest) considerations/variables that best explain
general patterns of cause and effect
5. 5
•Assessing an idiographic explanation – posited
by Maxwell (2005)
•How credible and believable it is
•Whether alternative explanations (“rival hypotheses)
were seriously considered and found wanting
•Assessing a nomothetic explanation – posited by
Shadish, Cook, & Campbell (2002)
•Empirical relationship between variables
•Temporal order (cause precedes effect)
•No alternative explanations – no spurious other
variable(s) affecting the initial relationship
•Any relationship that satisfies all these criteria is
causal
6. 6
•Within the probabilistic model, two types:
•Necessary cause – Represents a condition that
must be present for the effect to occur (being
charged before being convicted)
•Sufficient cause – Represents a condition that, if it
is present, will pretty much guarantee that the
effect will occur (pleading guilty before being
convicted)
7. 7
•Scientists assess the truth of statements
about cause by considering threats to validity.
•When we make a cause-and-effect statement,
we are concerned with its validity – whether it
is true and valid
•Certain threats to the validity of our inference
exist
•These are reasons why we might be incorrect
in stating that some cause produces some
effect
8. 8
•Refers to our ability to determine whether a
change in the suspected cause is statistically
associated with a change in the suspected
effect
•Are two variables related to each other?
•Researchers cannot have much confidence in
statements about cause if their findings are
based on a small number of cases
9. 9
•An observed association between two
variables has internal validity if the relationship
is, in fact, causal and not due to the effects of
one or more other variables
•Generally due to non-random or systemic
error
•The threat to IV results when the relationship
between two variables arises from the effect of
some third variable
•Example: drug users sentenced to probation
over prison recidivate less
10. 10
•Concerned with whether research findings in
one study can be replicated in another study,
often under different conditions
•Do the findings apply equally in different
settings (locales, cities, populations)?
•Kansas City evaluation found sharp reductions
in gun-related crimes in hot spots that had
been targeted for focused police patrols
•Indianapolis and Pittsburgh launched similar
projects
11. 11
•Concerned with how well an observed
relationship between variables represents the
causal process
•Refers to generalizing from what we observe
and measure to the real-world things in which
we are interested
•e.g., close supervision of officers more
tickets?
•e.g., Kansas City Preventive Patrol Experiment,
“police visibility”
12. 12
•The four types of validity threats can be
grouped into these two categories
•Bias – Internal Validity and Statistical
Conclusion Validity threats are related to
systematic and nonsystematic bias
•Generalizability – Construct Validity and
External Validity are concerned with
generalization to real-world behaviors and
conditions
13. 13
•Temporal order: which comes first?
•A statistical relationship exists, but underlying
causes affect both drug use and crime
(Internal Validity threat)
•What constitutes drug use? Crime?
(Construct Validity threat)
•How will policy affect drug use and crime?
•A crackdown on all drugs among all
populations will do little to reduce serious crime
14. •Bridges idiographic and nomothetic
approaches to explanation by seeking to
understand how causal mechanisms operate in
specific contexts
•Studies how such influences are involved in
cause-and-effect relationships
•Exhibits both ideographic & nomothetic
approaches to explanation
•"Can the design of streets and intersections be
modified to make it more difficult for street
drug markets to operate?"
15. 15
•What or who is studied
•Individuals - Police, victims, defendants,
inmates, gang members, burglars, etc.
•Groups - Multiple persons with same
characteristics (gangs, cities, counties, etc.)
•Organizations - Formal groups with established
leaders and rules (prisons, police departments,
courtrooms, drug treatment facilities, etc.)
•Social artifacts - Products of social beings and
their behavior (stories in newspapers, posts on
the Internet, photographs of crime scenes,
incident reports, police/citizen interactions)
16. 16
•Ecological fallacy - Danger of making
assertions about individuals based on the
examination of groups or aggregations
•Poor areas = more crime, therefore poor people
commit more crime
•Individual fallacy – Using anecdotal evidence to
make an argument
•O.J. Simpson court resources
•Reductionism - Failing to see the myriad of
possible factors causing the situation being
studied
17. 17
•Time sequence is critical in determining
causation
•Time is also involved in the generalizability of
research findings
•Observations can either be made more or less
at one point, or stretched over a longer period
•Observations made at more than one time point
can look forward or backward
18. 18
•Observing a single point in time (cross-section)
•Simple and least costly way to conduct
research
•Typically descriptive or exploratory in nature
•A single wave of the National Crime
Victimization Survey (NCVS) is a descriptive
cross-sectional study that estimates how many
people have been victims of crime in a given
time
19. 19
•Permit observations over time
•Trend – Those that study changes within
some general population over time (UCR)
•Cohort – Examine more specific populations
as they change over time (Wolfgang study)
•Panel – Similar to trend or cohort, but the
same set of people is interviewed on two or
more occasions (NCVS) (panel attrition)
20. 20
•Gun ownership and violence study by Swiss
researcher Martin Killias (1993)
•Compared rates of gun ownership as reported in
an international crime survey to rates of
homicide and suicide committed with guns
•May be possible to draw approximate
conclusions about processes that take place
over time, even when only CS data is available
•When time order of variables is clear, logical
inferences can be made about processes taking
place over time
21. 21
•Asks people to recall their past for the purpose
of approximating observations over time
•People have faulty memories; people lie
•Analysis of past records also suffer from
problems – records may be unavailable,
incomplete, or inaccurate
•Prospective research – longitudinal study that
follows subjects forward in time (Widom – child
abuse/drug use)
22. 22
•Cross-sectional study = snapshot – an image
at one point in time
•Trend study = slide show – a series of
snapshots in sequence over time, allows us to
tell how some indicator varies over time
•Panel study = motion picture – gives
information about individual observations over
time
23. 23
•Designing research requires planning several
stages, but the stages do not always occur in
the same sequence
•Beginning points for a line of research
•e.g., interests, ideas, theories, new programs
•Why does something occur?
•Why is this how it is?
•What about this possible program?
•These questions may lead to others you might
like to explore
24. 24
•Find out what research has been done
•Read newspaper stories, journal articles, check
out the Internet, talk to relevant people
•Figure out your objective & intended audience
•Generally, your purpose for undertaking
research can be expressed in a report
•You should be clear about the kinds of
statements you will want to make when the
research is complete
25. 25
•Specify what you mean by the term in your
research - this doesn't necessarily mean you
have to settle for a single definition
•What do you mean by the concept being
studied?
•If you are going to study fear of violent crime:
•What is considered “violent crime”?
•What is considered “fear”?
•You need to specify ALL the concepts you wish
to study
26. 26
•A variety are available, each has strengths and
weaknesses, choose one after considering the
specific concept you want to study
•Interviews, surveys, field research, content
analysis, official records
•The best studies utilize more than one research
method
27. 27
•Create concrete ways of actually measuring
your concept
•Fear and violent crime:
•Questionnaire item: how safe do you feel in
your house, downtown at night, etc.
•Official records of violent crime incidents in that
neighborhood, downtown, etc.
28. 28
•Exactly who or what will you study?
•Population – Group (e.g., of people) about
whom we want to be able to draw conclusions
•Since it is generally unfeasible to study ALL
members of that population, how will you take a
representative sample?
•Fear and violent crime: Will you include
elderly? Teenagers and kids? A particular race or
gender?
29. 29
•Collect the empirical data
•Make the observations that you will process,
analyze, interpret, apply, and review
30. 30
•You have amassed a volume of observations in
a form that usually is not easily interpretable
•How will you make sense of the observations?
•Code the data somehow
31. 31
•Manipulate the data
•Goal is to draw conclusions that reflect on the
interests, ideas, and theories which initiated our
research project
•Calculate percentages of those who have been
victimized by violent crime, those who fear
violent crime, differences among population
subsets, etc.
32. 32
•Utilize the research you’ve conducted and the
conclusions you’ve reached
•Make your findings known to others
•Develop policy to address your findings
•Determine what mistakes were made that
could be corrected in the future
•Determine how your research might feed into
future research
33. 33
•Begin by assessing:
•Your interests
•Your abilities
•The resources available to you
•What are you interested in studying?
•What information is needed & how to obtain it
•Review prior research in journals, books and
governmental reports
•“Triangulation”
34. 34
•Problem/Objective •Data Collection
Methods
•Literature Review
•Analysis
•Research Questions
•References
•Subjects for Study
•Schedule
•Measurement
•Budget