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collaboration/constraints.md

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<!-- this template is for inspiration, feel free to change it however you like! -->
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# 🧱 Constraints
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# Constraints
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Some boundaries around our project — these constraints helpus
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stay realistic, focused, and creative.
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Some boundaries around our project.
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---
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## External
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## 🌍 External Constraints
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<!--
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constraints coming from the outside that your team has no control over:
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- project deadlines
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- number of unit tests required to pass a code review
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- technologies (sometimes a client will tell you what to use)
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- power or connectivity
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- ...
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-->
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_Constraints outside of our control._
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## Internal: Involuntary
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- We have a fixed timeline (project must be completed by August 25).
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- Our project scope must remain within a data science context
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(no full-stack apps or hardware prototypes).
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- We may only use public or ethically sourced data.
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- All deliverables must follow the MIT Emerging Talent milestone structure and deadlines.
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- Group members are spread across different time zones and schedules.
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<!--
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constraints that come from within your team, and you have no control over:
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- each of your individual skill levels
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- amount of time available to work on the project
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-->
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---
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## Internal: Voluntary
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## ⛓️ Internal Constraints – Involuntary
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<!--
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constraints that your team decided on to help scope the project. they may include:
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- coding style & conventions
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- agree on a code review checklist for the project repository
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- the number of hours you want to spend working
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- only using the colors black and white
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-->
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_Constraints we didn’t choose, but still need to work with._
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- Team members have different levels of technical experience with data analysis
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and Git.
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- Internet stability and device access may vary for team members.
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- Limited access to proprietary datasets or paid tools/services.
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- English is not the first language for some members, which may
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affect communication pace or clarity.
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---
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## 🎯 Internal Constraints – Voluntary
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_Constraints we are choosing to adopt to help us focus and grow._
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- We will not aim to build a full product; instead, we’ll focus on strong research,
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analysis, and communication artifacts.
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- We will set a soft deadline of 48 hours before each milestone
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to allow for reviews and backups.
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- We will only include tools and code we understand and can explain clearly.
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- We will prioritize clarity over complexity in both data and code.
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---
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> Defining clear constraints helps us commit to achievable goals and encourages
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> creative, focused work.
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>

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