Presented at USENIX's 2022 Symposium on Usable Privacy and Security. Lightning talk describing how to ensure that your research participants are fully informed of how private data collected by underlying usability and user research software is handled by those entities. Recording is available at https://www.usenix.org/conference/soups2022/presentation/whysel
Who needs spwyare when you have COVID-19 apps?Megan DeBlois
With the current pandemic, privacy concerns have emerged around the large number of applications being published and promoted around the globe. From symptom tracking to contact tracing, the COVID-19 App Tracker Project (https://covid19apptracker.org) aims to automate detection of new and modified applications published on the Google Play Store.
Our session will discuss C19 app trends around the globe, emerging concerns, and what is required for greater transparency around the applications created and data collected by governments around the world.
My briefing from:
2012 5th Annual NIST & HHS Office of Civil Rights HIPAA Security Rule Conference
"Safeguarding Health Information: Building Assurance through HIPAA Security"
June 6, 2012
Enterprise Data Marketplace: A Centralized Portal for All Your Data AssetsDenodo
Watch full webinar here: https://bit.ly/3OLv0jY
Organizations continue to collect mounds of data and it is spread over different locations and in different formats. The challenge is navigating the vastness and complexity of the modern data ecosystem to find the right data to suit your specific business purpose. Data is an important corporate asset and it needs to be leveraged but also protected.
By adopting an alternate approach to data management and adapting a logical data architecture, data can be democratized while providing centralized control within a distributed data landscape. The web-based Data Catalog tool a single access point for secure enterprise-wide data access and governance. This corporate data marketplace provides visibility into your data ecosystem and allows data to be shared without compromising data security policies.
Catch this on-demand session to understand how this approach can transform how you leverage data across the business:
- Empower the knowledge worker with data and increase productivity
- Promote data accuracy and trust to encourage re-use of important data assets
- Apply consistent security and governance policies across the enterprise data landscape
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Broadly data science encompasses quantitative research, advanced analytics, predictive modelling and machine learning.
How reliably and sustainably can data science team deliver value for organizations?
Data Science Readiness Levels
How to make collaboration easier across organization?
Webcast Presentation: Accelerate Continuous Delivery with Development Testing...GRUC
With organizations under intense pressure to get products out to market quickly, they can’t afford to operate within operational silos. Yet communicating and collaborating across the organizational boundaries of QA and development can be difficult. Development is typically a black box to QA teams. QA has no visibility into the quality and security of the code until late in the lifecycle.
Watch this recorded webcast to learn how to break down the barriers and improve visibility and transparency by integrating development testing results into the IBM Rational Team Concert and providing QA and development with a unified workflow for ensuring code quality. Explore different development testing techniques and the types of defects and security vulnerabilities they can find.
About the Presenter:
James Croall, Director of Product Management, Coverity
Over the last 8 years, James Croall has helped a wide range of customers incorporate static analysis into their software development lifecycle. Prior to Coverity, Mr. Croall spent 10 years in the computer and network security industry as a C/C++ and Java software engineer.
SAP Technology Services Conference 2013: Big Data and The Cloud at Yahoo! Sumeet Singh
The Hadoop project is an integral part of Yahoo!'s cloud infrastructure and is at the heart of many of Yahoo!'s important business processes. Sumeet Singh, the Head of Products for Cloud Services and Hadoop at Yahoo!, explains how Yahoo! leverages Hadoop and Cloud Platforms to process and serve Internet- scale data.
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URL: http://www.saptechnologyservice.com/track1.html
Who needs spwyare when you have COVID-19 apps?Megan DeBlois
With the current pandemic, privacy concerns have emerged around the large number of applications being published and promoted around the globe. From symptom tracking to contact tracing, the COVID-19 App Tracker Project (https://covid19apptracker.org) aims to automate detection of new and modified applications published on the Google Play Store.
Our session will discuss C19 app trends around the globe, emerging concerns, and what is required for greater transparency around the applications created and data collected by governments around the world.
My briefing from:
2012 5th Annual NIST & HHS Office of Civil Rights HIPAA Security Rule Conference
"Safeguarding Health Information: Building Assurance through HIPAA Security"
June 6, 2012
Enterprise Data Marketplace: A Centralized Portal for All Your Data AssetsDenodo
Watch full webinar here: https://bit.ly/3OLv0jY
Organizations continue to collect mounds of data and it is spread over different locations and in different formats. The challenge is navigating the vastness and complexity of the modern data ecosystem to find the right data to suit your specific business purpose. Data is an important corporate asset and it needs to be leveraged but also protected.
By adopting an alternate approach to data management and adapting a logical data architecture, data can be democratized while providing centralized control within a distributed data landscape. The web-based Data Catalog tool a single access point for secure enterprise-wide data access and governance. This corporate data marketplace provides visibility into your data ecosystem and allows data to be shared without compromising data security policies.
Catch this on-demand session to understand how this approach can transform how you leverage data across the business:
- Empower the knowledge worker with data and increase productivity
- Promote data accuracy and trust to encourage re-use of important data assets
- Apply consistent security and governance policies across the enterprise data landscape
Agile development of data science projects | Part 1 Anubhav Dhiman
Broadly data science encompasses quantitative research, advanced analytics, predictive modelling and machine learning.
How reliably and sustainably can data science team deliver value for organizations?
Data Science Readiness Levels
How to make collaboration easier across organization?
Webcast Presentation: Accelerate Continuous Delivery with Development Testing...GRUC
With organizations under intense pressure to get products out to market quickly, they can’t afford to operate within operational silos. Yet communicating and collaborating across the organizational boundaries of QA and development can be difficult. Development is typically a black box to QA teams. QA has no visibility into the quality and security of the code until late in the lifecycle.
Watch this recorded webcast to learn how to break down the barriers and improve visibility and transparency by integrating development testing results into the IBM Rational Team Concert and providing QA and development with a unified workflow for ensuring code quality. Explore different development testing techniques and the types of defects and security vulnerabilities they can find.
About the Presenter:
James Croall, Director of Product Management, Coverity
Over the last 8 years, James Croall has helped a wide range of customers incorporate static analysis into their software development lifecycle. Prior to Coverity, Mr. Croall spent 10 years in the computer and network security industry as a C/C++ and Java software engineer.
SAP Technology Services Conference 2013: Big Data and The Cloud at Yahoo! Sumeet Singh
The Hadoop project is an integral part of Yahoo!'s cloud infrastructure and is at the heart of many of Yahoo!'s important business processes. Sumeet Singh, the Head of Products for Cloud Services and Hadoop at Yahoo!, explains how Yahoo! leverages Hadoop and Cloud Platforms to process and serve Internet- scale data.
Yahoo! operates one of the world's largest private cloud infrastructures. Learn how technologies scale out for building enterprise-wide trusted platforms with tight SLAs.
URL: http://www.saptechnologyservice.com/track1.html
Introduction to Digital Analytics for Apps
Presented by Benoit Weber, Digital Analytics Specialist
In this session we will have an overview and an introduction to Analytics for Apps (basics of digital analytics focusing on apps): how it works, how it is different from websites tracking (metrics and dimensions), how to implement it (firebase implementation versus GTM + Google Analytics). We will be exploring the 2 interfaces and review the different reports to learn about users and how they interacted with the app.
Building a Marketing Data Warehouse from Scratch - SMX Advanced 202Christopher Gutknecht
This deck covers the journey of starting with BigQuery, adding more data sources and building a process around your data warehouse. It covers the three phases greenfield, dashboards and operational analytics and the necessary data components.
The code for uploading your product feed can be found here:
https://gist.github.com/ChrisGutknecht/fde93092e21039299ab76715596eac01
If you have any questions, reach out to me on Linkedin!
You don’t need a big budget, weeks of time or special labs to get user insights quickly and inexpensively. We’ll discuss how you can meet your goals, improve your products and make informed decisions through user research. Usability testing (remote & in-person), interviews, surveys and analytics are a few methods we’ll review, particularly in the context of your own business challenges and user questions.
Intro slides for the EventLogging Workshop, introducing a new infrastructure built by the Wikimedia Foundation for web analytics and collaborative data modeling.
http://www.mediawiki.org/wiki/EventLogging/Workshop
How automation, AI, and dashboarding can help scale experimentation programs
If you are running 10+ experiments monthly across multiple teams, you know how important efficiency is. Moreover, available resources may not scale uniformly, making automation increasingly necessary to streamline processes. The challenge intensifies with execution quality when coordinating programs across diverse teams.
While having clear standards and disciplined workflows is beneficial, integrating automation, leveraging AI, and utilizing dashboards significantly enhances any experimentation program. This not only addresses scalability issues but also provides stakeholders with more time to focus on the core aspects of their work.
This webinar will be your script to plan and build automation, leverage AI and effective dashboarding to scale experimentation programs. Sign up now!
VWO - Mark de Winter - Run more experiments with fewer resources.pdfVWO
How automation, AI, and dashboarding can help scale experimentation programs
If you are running 10+ experiments monthly across multiple teams, you know how important efficiency is. Moreover, available resources may not scale uniformly, making automation increasingly necessary to streamline processes. The challenge intensifies with execution quality when coordinating programs across diverse teams.
While having clear standards and disciplined workflows is beneficial, integrating automation, leveraging AI, and utilizing dashboards significantly enhances any experimentation program. This not only addresses scalability issues but also provides stakeholders with more time to focus on the core aspects of their work.
This webinar will be your script to plan and build automation, leverage AI and effective dashboarding to scale experimentation programs. Sign up now!
Digital media analytics: web, mobile analytics - Ahmad Abdullah - GoogleJigserv Digital
Ahmad Abdullah from Google was at the ISB Digital Summit 2014 to conduct a session on 'Digital media analytics: web and mobile analytics' as part of the Digital Boot Camp workshop.
Unlocking AI Potential: Leveraging PIA Processes for Comprehensive Impact Ass...TrustArc
Artificial Intelligence (AI) has emerged as a transformative force in various industries, from healthcare to finance and beyond. While AI offers incredible opportunities, it also raises ethical, legal, and social challenges that must be addressed. To navigate this complex landscape in the world of privacy, it is crucial to conduct comprehensive Privacy Impact Assessments (PIAs).
Conducting PIAs in this dynamic and evolving world of AI has brought new challenges to the privacy world. With AI increasingly being integrated into different areas of our lives, understanding the intersection between AI and PIAs is essential for any organization to ensure they are privacy forward.
Take advantage of this opportunity to gain a comprehensive understanding of AI impact assessments and their role in shaping the future of AI. In this insightful webinar, our experts will explore the power of Privacy Impact Assessments (PIAs) in ensuring responsible AI development and deployment.
In this webinar, some key topics that will be covered include:
- Introduction to AI PIAs
- PIAs demystified (why they are essential in the context of AI)
- Explore the evolving legal and regulatory landscape governing AI and privacy, including GDPR, CCPA, and other international standards
- Best practices for conducting effective PIAs in AI projects
- Future outlooks for AI and PIAs
User Experience Research: Deriving Insights for Customer DevelopmentNoreen Whysel
Workshop on deriving insights for Customer Development with user experience research techniques. Presented to Project 2.8 cohort of entrepreneur women hosted by the Columbia Venture Community.
Your Personal Information is none of anyone’s Business. Information Architecture can help keep it that way.
Are you creating products that respect the needs and autonomy of your users? Would you like to learn how to evaluate your digital products for respectful behavior?
It’s possible to measure ethical behavior of technology and Information Architecture is a key component. Join Noreen Whysel and you will Learn:
-How can IA inform the design of safe and respectful apps and websites?
-What is the Me2B Safe Technology Specification?
-How can you get involved?
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In this session we will have an overview and an introduction to Analytics for Apps (basics of digital analytics focusing on apps): how it works, how it is different from websites tracking (metrics and dimensions), how to implement it (firebase implementation versus GTM + Google Analytics). We will be exploring the 2 interfaces and review the different reports to learn about users and how they interacted with the app.
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While having clear standards and disciplined workflows is beneficial, integrating automation, leveraging AI, and utilizing dashboards significantly enhances any experimentation program. This not only addresses scalability issues but also provides stakeholders with more time to focus on the core aspects of their work.
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How automation, AI, and dashboarding can help scale experimentation programs
If you are running 10+ experiments monthly across multiple teams, you know how important efficiency is. Moreover, available resources may not scale uniformly, making automation increasingly necessary to streamline processes. The challenge intensifies with execution quality when coordinating programs across diverse teams.
While having clear standards and disciplined workflows is beneficial, integrating automation, leveraging AI, and utilizing dashboards significantly enhances any experimentation program. This not only addresses scalability issues but also provides stakeholders with more time to focus on the core aspects of their work.
This webinar will be your script to plan and build automation, leverage AI and effective dashboarding to scale experimentation programs. Sign up now!
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Ahmad Abdullah from Google was at the ISB Digital Summit 2014 to conduct a session on 'Digital media analytics: web and mobile analytics' as part of the Digital Boot Camp workshop.
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Artificial Intelligence (AI) has emerged as a transformative force in various industries, from healthcare to finance and beyond. While AI offers incredible opportunities, it also raises ethical, legal, and social challenges that must be addressed. To navigate this complex landscape in the world of privacy, it is crucial to conduct comprehensive Privacy Impact Assessments (PIAs).
Conducting PIAs in this dynamic and evolving world of AI has brought new challenges to the privacy world. With AI increasingly being integrated into different areas of our lives, understanding the intersection between AI and PIAs is essential for any organization to ensure they are privacy forward.
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- Best practices for conducting effective PIAs in AI projects
- Future outlooks for AI and PIAs
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You’ve been there before. You thought you could trust someone with a secret. You thought it would be safe, but found out later that they blabbed to everyone. Or maybe they didn’t share it, but the way they used it felt manipulative. You gave more than you got and it didn’t feel fair. But now that it’s out there, do you even have control anymore?
Ok. Now imagine that person was your supermarket. Or your bank. Or your boss.
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Copyright 2018 Decision Fish LLC
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The Lean Startup Customer Development Model. At this day-long workshop hosted at the Soho office of Digital Ocean, we discussed how to implement lean customer discovery and validation in a startup. We learned about Steve Blank's Customer Development Model and did exercises including a lean business model canvas, empathy map and field research.
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Visit WikiProject:Information Architecture and join the movement: https://en.wikipedia.org/wiki/Wikipedia:WikiProject_Information_Architecture
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https://www.meetup.com/unstructured-data-meetup-new-york/
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First ever open hub for data enthusiasts to collaborate and innovate. A platform to explore, share, and contribute to a vast collection of datasets. Through robust quality control and innovative technologies like blockchain verification, opendatabay ensures the authenticity and reliability of datasets, empowering users to make data-driven decisions with confidence. Leverage cutting-edge AI technologies to enhance the data exploration, analysis, and discovery experience.
From intelligent search and recommendations to automated data productisation and quotation, Opendatabay AI-driven features streamline the data workflow. Finding the data you need shouldn't be a complex. Opendatabay simplifies the data acquisition process with an intuitive interface and robust search tools. Effortlessly explore, discover, and access the data you need, allowing you to focus on extracting valuable insights. Opendatabay breaks new ground with a dedicated, AI-generated, synthetic datasets.
Leverage these privacy-preserving datasets for training and testing AI models without compromising sensitive information. Opendatabay prioritizes transparency by providing detailed metadata, provenance information, and usage guidelines for each dataset, ensuring users have a comprehensive understanding of the data they're working with. By leveraging a powerful combination of distributed ledger technology and rigorous third-party audits Opendatabay ensures the authenticity and reliability of every dataset. Security is at the core of Opendatabay. Marketplace implements stringent security measures, including encryption, access controls, and regular vulnerability assessments, to safeguard your data and protect your privacy.
Levelwise PageRank with Loop-Based Dead End Handling Strategy : SHORT REPORT ...Subhajit Sahu
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Informed Consent-Are Your Participants-Aware-o- What-They-Share.pptx
1. Informed Consent: Are Your
Participants Aware of
What They Share?
Noreen Whysel
Director of Validation Research
Internet Safety Labs
August 7-9, 2022
SOUPS 2022: Eighteenth Symposium on
Usable Privacy and Security
6. What Are the
Risks of All
This Data
Sharing?
Participant
• Lack of Sufficient Notice
• Lack of Consent
Researcher
• Data Privacy Legal Violations
• Trust
User Testing Platform
• Data Privacy Legal Violations
• Trust
12. Google
Forms vs
Survey
Swap
Source: Tracker Map https://www.crownpeak.com/products/tag-monitoring-and-management
Google Forms
1 Tracker
0 Ad Networks
2 Widgets (Google)
SurveySwap.io
3 Trackers
4 Ad Networks
1 Analytics (Google)
3 Widgets (incl
Google Tag Manager)
13. Usability Hub
Usability Test
2 Trackers
1 Ad Network
1 Widget (Google Fonts)
1 Analytics (Google)
Usability Hub
First Click Test
2 Trackers
1 Ad Network
1 Widget (Google Fonts)
1 Analytics (Google)
Optimal Workshop
Tree Test
2 Trackers
1 Ad Network
1 Widget (Google Tag
Manager)
1 Analytics (Google)
Optimal Workshop
Card Sort
4 Trackers
1 Ad Network
1 Widget (Google Tag
Manager)
1 Analytics (Google)
Usability Tests
Source: Tracker Map https://www.crownpeak.com/products/tag-monitoring-and-management
14. TypeForm Form
0 Trackers
0 Ad Networks
1 Widget (first party)
0 Analytics
SurveyMonkey
0 Trackers
0 Ad Networks
1 Widget (Google Tag Manager)
1 Analytics (New Relic)
Survey Software
Source: Tracker Map https://www.crownpeak.com/products/tag-monitoring-and-management
15. Source: Tracker Map https://www.crownpeak.com/products/tag-monitoring-and-management
UserInterviews
5 Trackers (incl Facebook, Google and Microsoft
ad trackers)
3 Ad Networks (Bing, Facebook, Doubleclick)
7 Widgets (incl Google Tag Manager)
2 Analytics (Google Analytics, Mix Panel)
Prolific.io
3 Trackers (All
0 Ad Network
2 Widgets (incl Zendesk)
1 Analytics (Google Users)
17. What Can
Researchers
Do?
• Provide clear notice and consent
• Highlight any potentially hidden data sharing
by the testing software
• Name the software or testing platforms so
participants can read and consent to their
policies
18. What Can
User Testing
Software
Platforms
Do?
• Understand your data protection
responsibilities
• Make a greater effort to inform
participants and researchers of your
data sharing policy–every time they use
your software
19. Thank You!
Noreen Whysel
Director of Validation Research
Internet Safety Labs (formerly
the Me2B Alliance)
Noreen.whysel@internetsafetylabs.org
https://www.internetsafetylabs.org
https://www.me2ba.org
Editor's Notes
Hi. I'm Noreen Whysel from the Internet Safety Labs here to talk about informed consent and participant data privacy. Are Your Participants Aware of what they share?
We'd like to be sure that the data about our research participant stays between us and the test participant. But are our participants fully aware of the data sharing agreements underlying the participants’ use of these testing tools?
The confidentiality agreement they have with us is only part of the picture. In this short talk, I'll discuss how to ensure that your participants know how their data is collected and how it might be used or shared beyond the scope of the covered research project.
I'll focus on a mini audit of several user testing software packages that we performed based on the Ten Attributes for Respectful Me2B Commitments that underly the our Me2B Safe Technology Specification. Me2B is a term that flips the traditional shortcut B2C, or business to consumer relationship, by putting the individual first.
To understand the background of this talk, we take a brief look at the Data Privacy. I'm not a lawyer so this is really just a broad brush overview.
Data may get collected in a number of different ways like when you enter data directly into forms, your account profile if you have one, or via aggregated profile and behavioral data that may be collected from third party data brokers or your own app use.
Those of us who collect, use and share data from our research participants are becoming subject to a greater and greater number of data protection laws.
Each law has varying degrees of requirements, so you want to get your data governance policies right. And it's fair to expect the same from usability software that collects and controls data for you and your participants.
Researchers collect and store data with a number of different research tools, that in turn use underlying technology that may also access this data. Knowing who might be eavesdropping through the testing platform's relationship with these underlying tools helps you to evaluate whether you are exposing your team or your participants to risks that come with access by technologies.
Lack of notice and consent to share data is a significant risk. These are key components of many of the data privacy laws that govern which data we can and cannot save, use or share. While the risk to the researcher are similar to those of the user testing platform, the platform also bears responsibility for ensuring that anyone participating in a test on their platform has an appropriate level of notification of the data being collected and shared, as well as allowing the participant control over whether to continue.
So now let's look at our audit. Researchers collect and store data with a number of different research tools, creating what we call a Me2T relationship between the individual and the technology.
This is a non-scientific study: It's not randomized and reflects the software packages that we either have been using in our own research or those that we've documented from forums that we participate in. You'll note that most of the software we looked at share data with Google and other external vendors. At least one shared with Facebook and two shared with Amazon and Microsoft.
You can also see that just for these eight companies, there are a few dozen companies or company assets that are receiving data. The ones in bold are advertising or tracking software. Many of these tools aren't necessarily exploiting user data, but they are doorways to entities that now have some access to your participants' data.
We used a tool called TrackerMap which exposes paths for data sharing between entities. What you are seeing is a map of the underlying connections between the testing software and various first and third-party technologies. We were particularly interested in advertising networks noted in blue, analytics packages in red, and trackers in gold. We started with Google and Microsoft forms because they are popular, free tools and don't require a lot of expertise to set up. We expected to see sharing with their own advertising networks, but only found Microsoft shared with Bing Ads here in blue. Google's shares are to more functional programs.
What does this look like to the participant? Google Forms doesn't require it, but researchers can add a description at the top with information about the study, and details for informed consent if they choose to. A lot of studies don't have this much information and this short message is not sufficient for informed consent.
A savvy user may see that Google has it's own privacy policy at the bottom of the form and may note that it would be in addition to any data policy for the study itself. And notice that this study also has a line here that says "P.S. This survey contains a completion code for SurveySwap.io," This indicates that participants may come from an external panel recruiting site. So there is a couple of third party technologies in play here but no reference to privacy and consent practices for any of these underlying Me2T relationships.
So maybe google doesn't share much. But the SurveySwap data indicates that participants in this study are potentially being exposed to data sharing from the panel company.
We ran a few other tests. Here are the tracker maps from live tests at usability testing platforms we examined in our study. You can see that these platforms both share with Doubleclick and Google.
Survey vendors tended to have a relatively small number of tracking vendors.
And the third group we looked at was panel recruiters where we saw a lot of data sharing with entities like Facebook, Doubleclick, Microsoft Marketing and Adobe Metrics.
When you look at these you should be asking yourself whether your participants are aware that these entities may have access to their data. We feel it's a good idea to remind participants of any Me2T consent relationships they may have when they participate your study.
Product development is flawed. Often there is no consent when testing with potential users. Researchers should advocate for informed consent form that highlights all potential recipients of participant data including any additional data policies underlying the usability platform software or panel recruitment agencies.
Software testing platforms should take a close look at their data protection responsibilities and make a greater effort to inform participants and test creators of the data sharing policy – not just once but every time they participate.
So that's my PSA and I'd love to hear your questions. Enjoy the rest of SOUPS22!