Due: Monday 10/11
The purpose of this document is to prepare your team for success in the course project. Your proposal should contain at least three parts, which we define below. In terms of length, it should be 1-2 pages using standard margins (1 in.), font (11-12 pt), and line spacing (1-1.5). In addition to these three components, you should provide any additional context or information necessary to understand your vision for your project. You should convert your final document to a pdf and upload it to Gradescope under the assignment “Project Proposal” by the due date. Be sure to include your names and NetIds in your final document and use the group submission feature on Gradescope to include all of your group members on a single submission.
Part 1: Introduction and Research Questions
Your proposal should begin by introducing your topic in general and then defining one or more research questions. Research questions are the guiding questions you want to answer or problems you want to solve in your project. Your research question(s) should be (1) substantial, (2) feasible, and (3) relevant.
- Substantial research questions require more than a surface-level analysis (more than just computing basic summary statistics on readily available datasets, for example).
- Feasible research questions can actually be addressed by four or five team members over the course of approximately six weeks using data you can access.
- Relevant research questions address a subject of importance and interest within the scientific community or broader society.
You should provide a brief justification of your research question(s) with respect to each of these three points.
While you are welcome to study whatever topic you like, the following have been popular themes in previous years: health and medicine, business and economics, sports analytics, social media analysis, politics and/or policy, gender and/or race. The Project Ideas in the group formation post has many examples of topics.
Part 2: Data Sources
Your project should deal with real data. We provide pointers to some data sources in the Project Ideas section of the group formation post, but you are welcome and encouraged to look for your own data sources. After your introduction and research questions, your proposal should discuss the data you will use to answer your research questions. Be as specific as possible: name the datasets you will use and how you will access them or specify where you will look for the relevant datasets and why you expect to be successful in finding them. You should also briefly justify why the data you plan to obtain will be relevant and appropriate for addressing your research questions. Searching for data sources as you refine your research questions is likely to be the most time-consuming part of preparing your proposal and is crucial for a good start on your project, so do not put it off.
Part 3: Collaboration Plan
This is a collaborative course project pursued by a team of students who bring different strengths and interests to the table. This is reflective of the reality that significant real-world projects in data science are almost always pursued by teams. For the collaboration to be successful, it helps to establish some guidelines that serve as a starting point. Your collaboration plan should address the following:
- How will you divide responsibilities? Will some students be responsible for certain portions of the project, or will you be more integrated and decide responsibilities on a weekly basis?
- About how much time do you expect every group member to spend on the project each week, on average? It is ok if this number is higher toward the last couple of weeks of the semester.
- When and how will you meet? You should plan to meet at least once per week for at least 30 minutes to check in on one another’s progress, get help, and plan for what comes next. Identify a day of the week, a time, and the platform you will use to meet.
- What platform(s) will you use to communicate between meetings? Will you primarily use email, text, slack, or other chat apps? If you want a more professional enterprise tool, Duke provides free access to Microsoft Teams.
- Where will you store data, code, writing, etc., so that all group members have easy access to shared materials?* Duke provides free access to Box and GitLab which could serve these purposes, but you could also use external services like Google Drive or GitHub. Provide a link to the folder/repository in your proposal to demonstrate that it is created and ready.
* In addition to a common repository for data, you may find it useful to explore the Google colab which allows you to collaborate on Jupyter notebooks and execute them in the cloud (like a google doc for Jupyter notebooks).
Feedback and Grading Rubric
Proposals will be evaluated on the following criterion-based rubric. Proposals satisfying all criteria will receive full credit. Formative feedback (comments and suggestions) will also be provided for each proposal by a teaching assistant who will be assigned as a project group mentor.
- Satisfies general directions (length, on-time pdf submission, group submission, etc.)
- Includes a brief introduction to the topic of interest
- Poses one or more concrete research questions
- Provides a reasonable justification that research questions are substantial
- Provides a reasonable justification that research questions are feasible
- Provides a reasonable justification that research questions are relevant
- Includes one or more specific datasets or reasonable discussion of how to locate data
- Provides reasonable justification that data sources are appropriate for research questions
- Collaboration plan specifies how responsibilities will be divided and about how much time on average each group member should expect to spend per week
- Collaboration plan specifies when and how team will meet, at least weekly
- Collaboration plan specifies platform/technology for communication between meetings and provides a link to a folder/repository for sharing data, code, etc.