10  Final Presentations

10.1 Complete course evaluations

The graduate programs asked that professors reserve time at the start of class for students to fill out their course evaluations. I will give everyone 10 minutes (5 minute check-in) to fill out the course evaluation.

10.2 Final presentations

The goal of this final is to develop and deliver a clear, concise, and engaging presentation on a topic of your choice within a strict 5-minute time limit, but your target audience will be randomized. This exercise will help you improve your research, organization, and public speaking skills.

The presentation topic can be anything you learned in this course. It can be on something you wrote, in class discussion, contents in the book or other materials you read/watched, as long as it relates back to security, privacy, ethics, and equity.

10.2.1 Target audience and presentation topic

Student Last Name Target Audience Presentation Topic
Black family-friends Security breaches.
Boes family-friends Is it ethical or not to terminate data.
Cohen family-friends Data security and privacy considerations when storing and/or sharing sports data.
Coleman government-policymaker* Texas secret ballot.
DeAngelo undergraduates-coworkers Noise infusion/injection and the tradeoff between privacy and data usability.
Duff family-friends* AI algorithms being used in hiring/recruiting process.
Flynn undergraduates-coworkers Data security in sports betting.
Gomez undergraduates-coworkers (EA) Electronic Arts and its efforts towards improving data security, protecting user privacy, and promoting ethical gaming practices.
Keohane family-friends Data warehouses and silos.
Kiely government-policymaker AI (in)equity in mental health data.
Larsson funders-media What funding is needed to meet General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA).
Lombardi government-policymaker The inequity of facial recognition.
Macro funders-media Advantages and disadvantages of using partially and fully synthetic data.
Mathews government-policymaker How the supreme court justices should be viewing surveys in AMICUS (“friend of the court”) briefs through the lens of equity.
Meslin family-friends Google Incognito lawsuit.
Norton family-friends How does GDPR differs from US policies?
Novakoski undergraduates-coworkers Why privacy is a factor in no public Spotify data.
Russell government-policymaker AI in healthcare (e.g., patient data).
Schreifels undergraduates-coworkers Urban vs Rural internet connectivity could impact social inequalities either in a positive or negative way.
Scully undergraduates-coworkers Algorithmic data collection needing filters to spur negative content.
Sokolova funders-media Email phishing.
Weir funders-media The ethical implications of cross border data transfers within emerging technologies.
Williams family-friends How much data apps collect and what steps one can take better protect personal information.

* == indicates students swapped target audience.

10.2.2 Evaluation of the presentation

The following is how I will evaluate your presentations. Each part will be scored from 1 to 10, as detailed below.

  1. Content and audience (10 points)

    • 10: Clear purpose and content that addresses the target audience.
    • 5: Moderate clarity and relevance to the target audience.
    • 1: Unclear purpose and irrelevant to the target audience.

  2. Organization and structure (10 points)

    • 10: Well-organized with a clear and strong flow (introduction, middle, and conclusion).
    • 5: Moderately organized with adequate flow.
    • 1: Poorly organized, missing key structural elements.

  3. Delivery and timing (10 points)

    • 10: Enthusiastic and engaging, with good pacing, within 30 seconds of the time limit.
    • 5: Some enthusiasm and minor pacing issues, within 30 seconds to 1 minute of the time limit.
    • 1: Lacks enthusiasm, poor pacing, over 1 minute off the time limit.

  4. Quality of slides or other visual aids (10 points)

    • 10: Enhances the presentation.
    • 5: Somewhat contributes to the presentation.
    • 1: Does not contribute to the presentation.

  5. Overall quality (10 points)

    • 10: Highly effective in achieving the goal.
    • 5: Somewhat effective in achieving the goal.
    • 1: Ineffective in achieving the goal.

10.2.3 Presentation order

set.seed(42)

library(tidyverse)

c("Black", "Boes", "Cohen", "Coleman", "DeAngelo", "Duff", "Flynn", "Gomez",
  "Keohane", "Kiely", "Larsson", "Lombardi", "Macro", "Mathews", "Meslin", 
  "Norton", "Novakoski", "Russell", "Schreifels", "Scully", "Sokolova", "Weir",
  "Williams") %>%
  sample(., replace = FALSE)
 [1] "Novakoski"  "DeAngelo"   "Black"      "Kiely"      "Coleman"   
 [6] "Russell"    "Williams"   "Norton"     "Meslin"     "Gomez"     
[11] "Flynn"      "Schreifels" "Keohane"    "Weir"       "Lombardi"  
[16] "Boes"       "Mathews"    "Cohen"      "Sokolova"   "Scully"    
[21] "Duff"       "Macro"      "Larsson"

10.2.4 Schedule

Time (EDT) Student Order
5:15 pm - 6:00 pm Scully**
– Novakoski
– DeAngelo
– Sokolova*
– Kiely
– Coleman
– Russell
6:00 pm - 6:15 pm Break
6:15 pm - 7:15 pm Williams
– Norton
– Meslin
– Gomez
– Flynn
– Schreifels
– Keohane
– Weir
– Lombardi
7:15 pm - 7:30 pm Break
7:30 pm - 8:15 pm Boes
– Mathews
– Cohen
– Black*
– Duff
– Macro
– Larsson

* == indicates students swapped time.

** == indicates moved student sooner to avoid conflict (all other students have been shifted).

10.2.5 Vote for your favorite presentation

Each year, I ask students to vote for their favorite presentation. The person with the most votes will receive a gift card to a local café or restaurant of their choice (or whatever business as long as is locally owned), paid for by me. You cannot vote for yourself.

After all the presentations are complete, please submit your vote here.