1 of 14

Introduction to Projects

MMED 2024�Carl

https://doi.org/10.6084/m9.figshare.5038769.v3

000

2 of 14

Elements of Project Work

Report
Poster
Presentation

2

3 of 14

Elements of Project Work

Report
Poster
Presentation
OVERALL, but: we have mini-iteration on this in first week.

3

4 of 14

Pilot-Project Work

Reports: group + individual this week
Poster: due this week, present next
Presentation: end of this week
Intermediate check-ins this week

4

5 of 14

Pilot-Project Work

Reports: group + individual this week
Poster: due this week, present next
Presentation: end of this week
Intermediate check-ins this week
… but what is the project about?

5

6 of 14

Pilot-Project Work

Pose Public Health Modeling Question
Setup Infrastructure
Curate Relevant Data
Implement* Model
Generate Results => Present
Document Results + Process

6

7 of 14

Pilot-Project Work

Pose Public Health Modeling Question

Groups assigned either Measles or Ebola
Review references for possible questions

7

8 of 14

Pilot-Project Work

Setup Infrastructure

File sharing, code tracking, etc

8

9 of 14

Pilot-Project Work

Curate Relevant Data

suggest: from the reference papers
allowed: any other dataset on the two pathogens

9

10 of 14

Pilot-Project Work

Implement* Model

don’t create your own from scratch
copy => modify existing code
use within existing introductory analytical setups

10

11 of 14

Pilot-Project Work

Generate Results => Present

use that model to do minimal analysis
make plots / tables / etc, assemble to match “How to read paper” framing: Question, How, Answer, Valid?

11

12 of 14

Pilot-Project Work

Document Results + Process

write a report in typical intro, methods, results, conclusion format
also needs an individual contributions section

12

13 of 14

Questions?

13

14 of 14

000

This presentation is made available through a Creative Commons Attribution-Noncommercial license. Details of the license and permitted uses are available at� http://creativecommons.org/licenses/by/3.0/

Attribution:

Clinic on the Meaningful Modeling of Epidemiological Data