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Course Goals and Objectives π―
Course Goals and Objectives π―
One. Explore and understand the relevance and application of data and data science to modern legal practice and legal services delivery, including data sources, formats, and methods of analysis.
Two. Learn how to effectively explore, collect, manage, analyze, and communicate with data.
Three. Understand current issues surrounding the law and politics of data, including bias, access, privacy, and jurisdiction.
Four. Understand the mindsets of data scientists and how to effectively collaborate across the disciplines of law and data science. In the process, understand and practice the core principles of effective collaborative teamwork, a necessary element of modern law practice.
Weekly assignments π
Weekly assignments π
Weekly assignments may include articles, videos, and podcasts posted in both the course schedule and in the course Slack team.
Course Content + Structure π
Course Content + Structure π
Learning in the time of COVID π·
Learning in the time of COVID π·
While we've returned to in-person class session, we continue to live with many trappings of the pandemic, including masks and distancing. And, we continue to deal with new variant outbreaks that can impact our colleagues at VLS. As well as pandemic-related stressors that add to an already-demanding law school experience. It's a lot.
So, in this time of COVID, let us all have grace. Grace for ourselves and for each other, as we navigate the various challenges we may face over the course of the semester.
Class sessions: conversations, guest speakers, small group discussion, team exercises π£
Class sessions: conversations, guest speakers, small group discussion, team exercises π£
As part of the Program on Law and Innovation (PoLI) curriculum, this course is unique in its structure and execution. We aim to approach our work together as colleagues and βin-classβ time will be as interactive as possible.
Conversations and guest speakers. We will highlight important ideas and themes and use these to drive class-wide conversations centered on class session topics and bringing in weekly assignments. As well, to provide you with βboots on the groundβ insight into data in law practice, the course features many guest speakers during live class sessions over the course of the semester. Our expert guests will engage us in lively conversations, with each session focusing on a central theme in the course. Completing weekly assignments will prepare you to participate meaningfully in class discussions.
Colleague discussions. Throughout the semester you will break out into small teams to engage in guided discussions about the class session, to engage collaboratively with colleagues and then share back with the entire class.
Team exercises. In most class sessions, we'll break out into small teams to engage in activities that offer an opportunity to apply and more deeply explore themes and ideas covered in the session.
Course Work Product: Required Assignments π
Course Work Product: Required Assignments π
As with all PoLI courses, this course relies on a high level of in-class interaction, engagement, and collaboration in small teams β designed to be more like working in the law rather than like a typical law school course.
This course is pass/fail. To pass the course, timely* submission of the following work product is required. More detailed information about required assignments will be shared over the course of the semester.
Course survey: to be completed by Tuesday, January 25, the survey is designed to provide us with insight and information to help us deliver the best experience possible over the course of the semester.
Discussion posts: following certain class sessions (which will be noted in the Schedule and in Slack), you will share brief (around 250 words) discussion posts in the Slack #discussion channel in response to session-related prompts.
Questions for expert guests: you will prepare questions in advance for our expert guests
Resource contribution: for some class sessions, you will find and contribute a resource (article, report, book, podcast, video, etc.) relevant to that session's topic/themes to the course Resource Playlist (#resource_playlist channel in Slack). You can even contribute links to conversations/threads in Twitter that are relevant, like this one. Resource contributions will be part of weekly assignments and prompts will appear in the #weekly_assignment channel.
Colleague discussions: we will break out into small groups for discussion following guest experts during some class sessions. These provide an opportunity to engage in discussion with colleagues about the topics and themes our guest experts introduce. We will provide guides and prompts for discussions. It will be up to you to make the most of this opportunity, both to explore DLP ideas in greater depth and build stronger connections with your colleagues.
Team project using data science tools: details forthcoming!
Blog post: you will write a short (around 1,000 words) blog post focusing on an idea/issue/challenge/opportunity relevant to data in the practice of law, which will be published publicly.
*We expect you to meet posted deadlines for all assignments. If for any reason you anticipate missing a deadline, please contact Prof Moon in Slack as soon as possible.
Assessment π―
Assessment π―
You pass this course by completing all required assignments in a timely manner, including attending class sessions. See the Policies + Resources page for attendance requirements.
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