Web cookies (also called HTTP cookies, browser cookies, or simply cookies) are small pieces of data that websites store on your device (computer, phone, etc.) through your web browser. They are used to remember information about you and your interactions with the site.
Purpose of Cookies:
Session Management:
Keeping you logged in
Remembering items in a shopping cart
Saving language or theme preferences
Personalization:
Tailoring content or ads based on your previous activity
Tracking & Analytics:
Monitoring browsing behavior for analytics or marketing purposes
Types of Cookies:
Session Cookies:
Temporary; deleted when you close your browser
Used for things like keeping you logged in during a single session
Persistent Cookies:
Stored on your device until they expire or are manually deleted
Used for remembering login credentials, settings, etc.
First-Party Cookies:
Set by the website you're visiting directly
Third-Party Cookies:
Set by other domains (usually advertisers) embedded in the website
Commonly used for tracking across multiple sites
Authentication cookies are a special type of web cookie used to identify and verify a user after they log in to a website or web application.
What They Do:
Once you log in to a site, the server creates an authentication cookie and sends it to your browser. This cookie:
Proves to the website that you're logged in
Prevents you from having to log in again on every page you visit
Can persist across sessions if you select "Remember me"
What's Inside an Authentication Cookie?
Typically, it contains:
A unique session ID (not your actual password)
Optional metadata (e.g., expiration time, security flags)
Analytics cookies are cookies used to collect data about how visitors interact with a website. Their primary purpose is to help website owners understand and improve user experience by analyzing things like:
How users navigate the site
Which pages are most/least visited
How long users stay on each page
What device, browser, or location the user is from
What They Track:
Some examples of data analytics cookies may collect:
Page views and time spent on pages
Click paths (how users move from page to page)
Bounce rate (users who leave without interacting)
User demographics (location, language, device)
Referring websites (how users arrived at the site)
Here’s how you can disable cookies in common browsers:
1. Google Chrome
Open Chrome and click the three vertical dots in the top-right corner.
Go to Settings > Privacy and security > Cookies and other site data.
Choose your preferred option:
Block all cookies (not recommended, can break most websites).
Block third-party cookies (can block ads and tracking cookies).
2. Mozilla Firefox
Open Firefox and click the three horizontal lines in the top-right corner.
Go to Settings > Privacy & Security.
Under the Enhanced Tracking Protection section, choose Strict to block most cookies or Custom to manually choose which cookies to block.
3. Safari
Open Safari and click Safari in the top-left corner of the screen.
Go to Preferences > Privacy.
Check Block all cookies to stop all cookies, or select options to block third-party cookies.
4. Microsoft Edge
Open Edge and click the three horizontal dots in the top-right corner.
Go to Settings > Privacy, search, and services > Cookies and site permissions.
Select your cookie settings from there, including blocking all cookies or blocking third-party cookies.
5. On Mobile (iOS/Android)
For Safari on iOS: Go to Settings > Safari > Privacy & Security > Block All Cookies.
For Chrome on Android: Open the app, tap the three dots, go to Settings > Privacy and security > Cookies.
Be Aware:
Disabling cookies can make your online experience more difficult. Some websites may not load properly, or you may be logged out frequently. Also, certain features may not work as expected.
FOI #23-341 (07-13-23, 3:57 pm) - Subject - Sia AI
Name - Athena Hawkins
Affiliation - The Daily Dot
Under the Connecticut Freedom of Information Act, I’d like to make the following records request from University of Connecticut from January 1, 2018 to the date this request is processed:
- Any existing contracts between the University of Connecticut and OneOrigin Inc including, but not limited to, contracts between OneOrigin Inc and the university’s admissions office, recruitment office, financial aid office or enrollment office
- Any documents or reports related to the use of the AI tool Sia or SiaHigherEd in university activities, including admissions, recruitment, enrollment and financial aid
- Any documents or reports detailing anonymized datasets or inputs used to train AI tools, including Sia or SiaHigherEd
- Any documents or reports assessing the efficacy Sia or SiaHigherEd in processes such as admissions, recruitment, enrollment, or financial aid
- Any emails from the domain @uconn.edu mentioning the word “Sia”
- Any correspondence sent from the email domain @oneorigin.us to the email domain @uconn.edu
- Any correspondence sent from the email domain @uconn.edu to the email domain @oneorigin.us
I’d like to receive copies of these records in a digital format by email at athenafhawkins@gmail.com, if possible.
FOI #23-340 (07-13-23, 10:55 am) - Subject - AI tools
Name - Patrick Eaton-Robb
Affiliation - ASSOCIATED PRESS
Pursuant to the state open records law, Conn. Gen. Stat. Ann. Secs. 1-200 to 1-241, I write to request access to and an electronic copy of any reports or correspondence related to the use of artificial intelligence tools, including but not limited to Social Sentinel/Navigate 360 for the purpose of monitoring the social media activities of members of the UConn community. This includes the use of these tools by UCPD. Thank you.
Pursuant to the provisions of the freedom of information act, I am requesting the following:
A copy of all training materials and internal guides or policies currently adhered to detailing the circumstances under which a UConn Health maternity ward patient may be assigned a social worker.
A copy of all training materials and internal guides or policies by which UConn Health providers currently adhere that relates to the reporting of mothers of newborns to the Department of Children and Families (DCF).
A copy of all training materials and internal guides or policies by which UConn Health currently adheres that references the drug testing of pregnant women.
Does UConn Health require written consent before drug testing pregnant women as a matter of hospital policy? Please provide any relevant written materials as may be directly related to this question.
Does UConn Health, as a matter of hospital policy, inquire as to a pregnant woman's drug or alcohol use? If so, as a matter of hospital policy, is she informed that her responses may be shared with the Department of Children and Families (DCF)? Please provide any relevant written materials as may be directly related to these questions.
FOI #23-338 (07-12-23, 12:41 pm) - Subject - FOIA request
Name - Jim Haddadin
Affiliation -
Pursuant to the Connecticut Freedom of Information Act (the FOIA), C.G.S. Section 1-200, et. seq., Connecticut Public and I request access to and a copy of the underlying data used in production of CSP Data Audit 14-21 (6-28-23). CT Public prefers to receive the copies via email in any common electronic format, such as a spreadsheet or CSV file. As you know, the FOIA provides that if portion(s) of a record are exempt from disclosure, the remainder of the record still must be disclosed. To the extent that the university claims that any record or a portion of any record is exempt from disclosure, please provide the basis for this position including the specific exemption(s) upon which it relies.
Text messages sent to and from Daniel Toscano between 06/01/2021 and 12/31/2021 containing the keywords “vaccine,” and/or “Covid,” and/or “mask,” and/or “HEERF (or heerf),” and/or “tracing.”
FOI #23-336 - Subject - Text and Email Communications
Name - Jonthan Husky
Affiliation -
1) emails sent to and from Suzanne Onorato between 06/01/2021 and 11/01/2021 containing the keywords, “Covid” and/or “vaccine” and/or “mask” and/or “testing.”
2) text messages sent to and from Eleanor JB Daugherty between 06/01/2021 and 11/01/2021 containing the keywords, “Covid” and/or “vaccine” and/or “mask” and/or “testing.”
3) emails sent to and from Jeffrey Geoghegan between 07/01/2021 and 12/31/2021 containing the keyword “HEERF” (or “heerf”).
4) text messages sent to and from Jeffrey Geoghegan between 07/01/2021 and 12/31/2021 containing the keyword “HEERF” (or “heerf”).
5) emails sent to and from Debbie Carone between 07/01/2021 and 12/31/2021 containing the keyword “HEERF” (or “heerf”).
FOI #23-335 (07-10-23, 3:33 pm) - Subject - Investigation of Threat Against Sociology Department
Name - Johanna Alonso
Affiliation - Inside Higher Ed
Please provide any emails between university administrators, Department of Sociology staff or faculty, campus police or any other law enforcement agency, or any other relevant entity regarding threats made against the University of Connecticut Department of Sociology and/or its faculty or staff sent between April 1, 2023 and now. Please include the threatening email or any other communications from the sender.
Please also provide any campus police reports and internal investigative documents/records regarding the above incident.
FOI #23-334 (07-10-23, 1:07 pm) - Subject - RFP KA090122, Strategic Planning, Development, and Implementation
Name - Chris Blois
Affiliation - CampusWorks
I request that you make available to me the following records:
All proposals and associated documents, including pricing, and evaluation committee matrices/notes, submitted in response to RFP KA090122, Strategic Planning, Development, and Implementation, which was due September 12, 2022.
I request that the records responsive to my request be copied and sent to me at the following email address: cblois@campusworksinc.com
Please let me know in advance of any search or copying fees.
This request is for all body cam footage, texts, emails, videos associated with this loss. Per Officer Mark Welintukonis I would need to request all information/documents/evidence released to Amica for the DOL 1/20/2023 Case #2300005498. All information available should reference the Amica claim # 6001004783
In addition, I request a copy of the email sent by UConn’s records department to confirm receipt of this request as well as the email sent to the requestor to deliver the records.
Please return responsive records to this email via digital file, promptly