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 #25-472 (11-6-25, 3:23 pm) - Subject - NIL Transactions for University of Connecticut Basketball and Soccer Teams
Name - Gian Lombeyda
Affiliation - Student (Yale University)
Pursuant to the Connecticut Freedom of Information Act, I am requesting lists of Name, Image, and Likeness (NIL) transactions for the men’s and women’s basketball and soccer teams in 2023, 2024 and 2025.
FOI #25-471 (11-5-25, 3:17 pm) - Subject - UConn Athletics: Booze and Hot Dog Sales
Name - Matt Brown
Affiliation - Extra Points
I am writing to file a state Open Records request for the following document(s):
To assist in our newsgathering efforts, we are seeking the following documentation:
1) The *total number of units sold* for alcoholic beverages (including but not limited to beer, wine, cocktails, etc) sold at home football games in August, September and October of the 2025 season.
2) The *total revenue number generated* by the sale of alcoholic beverages (including but not limited to beer, wine, cocktails, etc) sold at home football games in August, September and October of the 2025 season.
3) If available, the total number of HOT DOGS sold at home football games in August, September and October of the 2025 season.
4) If available, the total number scanned tickets (as opposed to officially reported attendance figures) for home football games in August, September and October of the 2025 season.
This is for a national story to compare schools alcohol and hot dog sales across various geographic regions and stadium sizes over the course of the 2025 football season.
Please provide these documents in electronic format if possible. If there are any fees associated with this request, please contact me before proceeding if the cost will exceed $25. I am a member of the media, making this request for an editorial, and not commercial, purpose.
Should your office require additional information or need to reach out beyond this email address, I can be reached at:
Matt Brown
PO Box 411023
Chicago, IL 60641
cell: 740-817-1889
I look forward to your response within the statutory time frame.
FOI #25-470 (11-4-25, 4:26 pm) - Subject - Admissions and Performance Data
Name - Thomas Jones
Affiliation -
Recently in FOI 25-130 the university provided race, MCAT, GPA, Matriculation, and Acceptance data and provided it with a de-identified unique identifier for each applicant.
This request asks for similar data, including the initial data provided in 25-130, but including additional fields. Specifically the fields requested are:
Unique Individual ID | AMCAS Year of Application | Self-Identified Race-Ethnicity Category | Total Undergraduate GPA | Most Recent MCAT2015 Score | Acceptance Indicator | Matriculation Indicator | USMLE Step One Outcome (P/F) - First Attempt | USMLE Step Two Score - First Attempt | Clerkship Grade - Internal Medicine | Clerkship Grade - Surgery | Clerkship Grade - OB/GYN | Clerkship Grade - Family Medicine | Clerkship Grade - Psychiatry | Clerkship Grade - Neurology | Clerkship Grade - Ambulatory Pediatrics | Clerkship Grade - Inpatient Pediatrics | Clerkship Grade - Ambulatory Medicine | Clerkship Grade - Inpatient Medicine
As was provided in the previous request we are requesting that you include the same Unique Identifier that you included in the production from 25-130.
We are only requesting data on matriculants from the class that entered in 2016 through the most recent class for which there is any data in the USMLE related fields.
We would note that the provision of this information is vital for the public's understanding of the performance of applicants admitted under race conscious admissions policies. We would highlight scholarly reports which utilized similar data to that which we are requesting, specifically, "Signatures of medical student applicants and academic success", Tal Baron,Robert I. Grossman,Steven B. Abramson,Martin V. Pusic,Rafael Rivera,Marc M. Triola,Itai Yanai
Published: January 15, 2020 https://doi.org/10.1371/journal.pone.0227108, which analyzed a similarly deidentified, albeit larger, dataset.
As you did in the production of 25-130, we would agree to the redaction of race identifies for small groups that would allow the reidentification of individuals.
We have a XLS file that details the fields we are requesting that we can provide when you reply to and acknowledge this request.
FOI #25-469 (11-4-25, 11:38 am) - Subject - Video Footage
Name - Lorinda Owen
Affiliation - Law Offices of Mark E Salomone & Morelli
We are requesting security footage of an auto accident that occurred on East Main Street, Waterbury on 9/26/25 around 23:32. Video is of a firetruck v parked vehicle that was occupied by our client, Neveh Cross.
FOI #25-468 (11-4-25, 9:56 am) - Subject - Federal Government Correspondence
Name - Student Student
Affiliation -
I am requesting a copy of the materials that will be provided in fulfilling the request "FOI #25-440 (10-20-25, 9:25 am) - Subject - UConn communication/correspondence from the federal government"
FOI #25-467 - Subject - Investigation and Correspondence Records
Name - Abdollah Younesi
Affiliation -
I am writing to request access to information under the Freedom of Information Act. Specifically, I would like to obtain:
1- Any record of UConn, DOE, or FBI investigations involving my name (Abdollah Younesi).
2- Any record of correspondence of Professor Zongjie Wang and the UConn Administration involving my name (Abdollah Younesi).
I need the records between Jan. 2023 and today (Nov. 2025).
FOI #25-463 - Subject - Request for Investigation Report
Name - Student Student
Affiliation -
Pursuant to the Connecticut Freedom of Information Act (Conn. Gen. Stat. § 1-200 et seq.), I respectfully request access to and copies of any and all police reports, incident summaries, or related documents regarding:
1) Any incident involving a student or individual impersonating an officer or agent of U.S. Immigration and Customs Enforcement (ICE) on or near the University of Connecticut campus, from January 20, 2025, to October 29, 2025.
2) Any and all reports filed by or referencing University of Connecticut Dean of Students Fany Hannon that includes allegations or complaints involving student impersonation of ICE officers or harassment related to immigration enforcement or immigration status from January 20, 2025 to October 29, 2025.
For each responsive record, please include, when available: