Resources Repository
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Teaching PackWeb Portal, Teaching Resource 2023Teaching Pack: Heuristics with Joe Pliskin
This teaching pack, curated by the Center for Health Decision Science, features videos introducing heuristics …
This teaching pack, curated by the Center for Health Decision Science, features videos introducing heuristics used in decision making. While these “mental shortcuts” can be useful in some circumstances, they can lead to more errors than deliberate, rational thinking. An awareness of these heuristics is useful to decision makers. This series of videos on heuristics was developed by Professor Joe Pliskin during his residency with the CHDS Media Hub led by Jake Waxman. They reflect…
Preferences/Values | Probability/Bayes | Decision Theory | Health/Medicine | Clinical Care | Decision Psychology | Chronic Disease/Risk | Business/Industry | Economics/Finance | High School | College | Graduate | Doctoral | Professional | Critical Thinking/Analysis | Decision Making/Leadership | Quantitative Literacy -
Resource PortalWeb Portal, Teaching Resource 2024Millennium Mathematics Project (MMP)
The Millennium Mathematics Project (MMP), a collaboration between the Faculties of Mathematics and Education at the …
The Millennium Mathematics Project (MMP), a collaboration between the Faculties of Mathematics and Education at the University of Cambridge, is a maths education and outreach initiative for ages 3 to 19 and the general public. The focus is on increasing mathematical understanding, confidence and enjoyment, developing problem-solving skills, and promoting creative and imaginative approaches to maths. The project consists of a family of complementary programmes, including the NRICH website, Plus online mathematics magazine, Wild Maths, and…
Probability/Bayes | Mathematical Models | Decision Analysis | Health/Medicine | Infectious Diseases | Test Performance | Risk Analysis | Child/Nutrition | Environmental Health | Science/Technology | Europe | High School | College | Graphics/Visualization | Quantitative Literacy -
Tools/ModelsInteractive, Teaching Resource 2020Interactive Graphic: Interpreting a COVID-19 Test Result
Currently, the most common diagnostic test for COVID-19 relies on reverse transcriptase polymerase chain reaction …
Currently, the most common diagnostic test for COVID-19 relies on reverse transcriptase polymerase chain reaction (RT-PCR), and most often uses samples obtained from the respiratory tract by nasopharyngeal swab. This interactive graphic demonstrates the influence of the prior probability of COVID-19, the test sensitivity (i.e., the probability of a positive test conditional on disease presence), and the test specificity (i.e., the probability of a negative test conditional on disease absence) on the post-test probability of…
Probability/Bayes | Health/Medicine | Clinical Care | Infectious Diseases | Test Performance | Science/Technology | High School | College | Graduate | Doctoral | Professional | Graphics/Visualization | Quantitative Literacy -
Lesson/ModuleWeb Portal, Teaching Resource 2017Translating Science Into Policy: The Role of Decision Science
This module introduces the basic techniques of “decision science” that are used in policy making. …
This module introduces the basic techniques of “decision science” that are used in policy making. The materials are mainly prescriptive, focusing on how to make good decisions, but also include examples of the systematic ways that people make poor decisions. The module: (1) surveys the meanings of utility; (2) examines decision making in conditions where risk is not an issue; (3) examines decision making in conditions where risk is an issue because the likelihood of…
Preferences/Values | Decision Analysis | Health/Medicine | Infectious Diseases | Decision Psychology | Policy/Regulation | Government/Law | Science/Technology | Global | North America | College | Graduate | Doctoral | Professional | Critical Thinking/Analysis | Decision Making/Leadership | Policy Translation -
Teaching PackPublication, Teaching Resource 2022Teaching Pack: Building Decision Trees
In this teaching pack on Building Decision Trees, students learn how to structure the elements …
In this teaching pack on Building Decision Trees, students learn how to structure the elements (e.g., objectives, alternatives, probabilities, and outcomes) of a problem into a decision tree model, conduct a baseline analysis of the expected value of different alternatives, assess the value of perfect information, and perform sensitivity analyses. Materials include an instructor's note, videos, companion slides, a glossary, an annotated bibliography, and sample exercises. Learning Objectives Integrate the core elements (alternatives,…
Decision Analysis | Health/Medicine | Infectious Diseases | Global | College | Graduate | Conceptual Mapping | Graphics/Visualization | Quantitative Literacy -
Resource PackPublication, Teaching Resource 2017Resource Pack: Disease Control Priorities
This resource pack, curated by the Center of Health Decision Science, showcases selected analyses produced …
This resource pack, curated by the Center of Health Decision Science, showcases selected analyses produced by the Disease Control Priorities 3 (DCP3) to inform program design and resource allocation at the global and country levels. Analyses focus on the effectiveness, cost, and cost-effectiveness of priority interventions. Learn more by visiting the DCP3 website.
Benefit-Cost Analysis | Health/Medicine | Infectious Diseases | Costing Methods | Evidence Synthesis | Cost-Effectiveness Analysis | Maternal/Reproductive Health | Child/Nutrition | Chronic Disease/Risk | Mental Health | Injuries/Accidents | Health Systems | Economics/Finance | Global | College | Graduate | Doctoral | Professional | Critical Thinking/Analysis | Policy Translation | Quantitative Literacy -
Lesson/ModuleWeb Portal, Teaching Resource 2011Epidemics: Modelling with Mathematics
This learning module explores mathematically modeling disease epidemics. Through video clips, Dr. Julia Gog and …
This learning module explores mathematically modeling disease epidemics. Through video clips, Dr. Julia Gog and Dr. Andrew Conlan explain simple mathematical models for how disease spreads through populations, and how these models can be built upon for more complex modelling. These models can be used to predict epidemics, and in turn, help to mitigate their risks. Related resources, such as activities, worksheets, and presentations, are available to help students investigate mathematical modelling. These activities are…
Mathematical Models | Health/Medicine | Infectious Diseases | Science/Technology | Global | High School | College | Critical Thinking/Analysis | Decision Making/Leadership