Spring 2027

Addictions

In-depth exploration of substance use and behavioral addictions, examining how capitalism, colonialism, and globalization shape vulnerabilities and social responses like prohibitionism and treatment.

offering recorded3 credits
Recorded instructors · Spring 2027 Roberto Abadie

Summary

What you’ll be able to do

  • Examine the biological, socio-ecological, and structural factors that contribute to the development of both substance use and behavioral addictions.

  • Analyze the impact of capitalism, colonialism, and globalization on the emergence of addictions and the development of social responses, including prohibitionism, prevention strategies, and treatment approaches using Artificial Intelligence.

  • Develop written assignments reflecting on the role of socio-environmental and/or structural factors in contributing to a health disparity in a substance use disorder or behavioral addiction. In your assignments you might chose to follow on track based on the reliance of Large Language Models (LLMs) or a more traditional track that does not involve interactions with LLMs.

Source: UW Guide

Grade history

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average GPA
letter grades

No recorded grade history.

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Prerequisites

Course map

Junior standing

  • Junior standing
KINES 426

This is a best-effort interpretation; check the catalog requirements above.

Prerequisite text tree
  • Junior standing

Professors

Spring 2027
Historical instructors & teaching patterns

Recorded history may be incomplete and does not establish a future schedule.

Calendar & sections

Spring 2027

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SectionModeEnrolled / capacityWaitlist
LEC 001Classroom Instruction0 / 300

Times are Central. Select a meeting for details; export includes recorded dates for the selected sections. Enrollment reflects scan time.

Meeting source records
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Student experience

the class

Provides an in-depth exploration of addictions, encompassing substance use disorders (SUDs) and behavioral addictions from gaming, gambling, food, exercise, and work-related compulsions. Examines how capitalism, colonialism, and globalization disproportionately exposed minoritized and other vulnerable populations to addictions while shaping social responses to addiction, such as prohibitionism and other prevention and treatment strategies. Analyze cultural understandings and responses to addiction through the use of Artificial Intelligence.

difficulty & workload

No workload feedback recorded.

Topics

  • Substance use disorders and behavioral addictions including gaming, gambling, food, exercise, and work.
  • Impact of capitalism, colonialism, and globalization on vulnerable populations and addiction exposure.
  • Social responses to addiction, including prohibitionism, prevention, and treatment strategies.
  • Use of Artificial Intelligence to analyze cultural understandings and responses to addiction.

Skills

  • Examine biological, socio-ecological, and structural factors in addiction; analyze impacts of capitalism, colonialism, and globalization.
  • Apply AI and Large Language Models to analyze cultural understandings of addiction and complete related assignments.

Grades

Instructor

Grade distribution · % of letter grades

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Sources & history

UW–Madison

Catalog & offerings

Descriptions, prerequisites, and recorded course offerings.

Catalog observation history

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Selected offering source records
KINES 426 · Spring 2027

Addictions

Recorded 2026-10-14
Raw records 
[
  {
    "run_id": "20261014T203208-0851c9a1",
    "semester": "1274",
    "observed_at": "2026-10-14 17:50:09.728220+00:00",
    "offering_id": "1274:742:027242",
    "course_id": "KINES 426",
    "course_uid": "course_744fba4276794710089edb6f",
    "term_id": "1274",
    "source_course_id": "027242",
    "source_subject_id": "742",
    "title": "Addictions",
    "credits_min": 3,
    "credits_max": 3,
    "typically_offered": "Not Applicable"
  }
]
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Madgrades

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Dataset & model

Recorded 2026-10-14

View the dataset on Hugging Face
Model outputs & technical records
Qwen/Qwen3.8-27B
LLM outputs across runs
Download part 1
Full model traces

Recorded model configuration, reasoning, and tool conversations.

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Model & dataset provenance 
{
  "model": "Qwen/Qwen3.8-27B",
  "model_revision": "1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0",
  "task_version": "17",
  "output_id": "7f626b916c27b069015c29522adfbdddf8b6f6849d5133548b03c0bafec854d3",
  "requirements_status": "valid",
  "dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
  "observed_at": "2026-10-14 17:50:09.728220+00:00"
}