Data Science in the Liberal Arts Workshop (June 2019)

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Event: Data Science in the Liberal Arts
Date & Location: June 6-7, 2019 at Washington and Lee University
Workshop Goals:

  • Agenda & Program (Background and Purpose)
  • Establishing a Think Tank on Data Science in the Liberal Arts
  • Taking hands on approaches to curating, developing, and sharing liberal arts pedagogies and teaching materials for data science that broadly engage and support our students across the disciplines.

Attendees: members and friends of the LACOL DS+ working group

Scroll down for workshop resources, slides, and video gallery

Keynote Talk:

https://www.stthomas.edu/cisc/faculty/amelia-mcnamara.htmlData Journalism as a Liberal Art
Prof. Amelia McNamara
Department of Computer & Information Sciences
University of St. Thomas

One of the main ways the general public encounters products of data analysis is through journalism. Data journalists strive to explain complex stories using visualization, statistics, and heavy use of contextualization. As we incorporate data science into the liberal arts, data journalism provides a case study as a field in which the sciences and the humanities are consciously linked. In this talk, I’ll discuss the history of data journalism, how I see it fitting into a liberal arts framework, and experiences from a class I taught on data journalism.

A. McNamara SLIDES

More Workshop Talks and Resources:

1. R. DeVeaux – Data Science for All? 

2. L. Heyer – Starting a Data Science Minor

(more…)

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Introduction to Data Science (shared course)

In Summer 2019 …

Introduction to Data Science (co-taught course, shared digitally)

Syllabus and FAQ: See course gateway

Learning Objectives:

  1. Familiarity and expertise in basic coding (R/RStudio).
  2. Understanding of theory and application of basic concepts in statistics.
  3. Ability to write and present technical material to diverse audiences.

Course Sequence:

  • Intensive 8-week course with data lab component (fully digital)
  • Student centered learning design including pre-recorded lectures, real-time lectures, and laboratory/supported work time
  • Course co-taught by instructors from LACOL schools 
  • Delivery is fully online with some scheduled and some asynchronous events.

Course Team: see course gateway

Lightning Talk – Learn about this project in just 6.5 minutes!


Presented May 22, 2019 at the Bryn Mawr Blended Learning Conference

Course Topics Include: (more…)

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Webinar: Data Science on ramps and scaffolds (Nov 9)

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Event: Data Science: On ramps and scaffolds
Location: ZOOM web conference
Date: Friday, November 9
Time: 1:00-2:00pm Eastern
Discussion Leads: 
⇒ Ming-Wen An, Assoc. Professor of Statistics, Vassar College
⇒ Ella Foster-Molina, Teaching Associate, Quantitative Skills Laboratory, Swarthmore College

Prework:

Related Event: Envisioning a “What is data science?” webinar for students (Oct 1, 2018)

Description: Following on from the lively July webinar focused on the NAS Data Science for Undergraduates report (nap.edu/25104), LACOL DS+ members are invited to join a follow up webinar .

(more…)

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Envisioning a “What is data science?” webinar (Oct 1)

Event: Envisioning a “What is data science?” webinar for students
Location: ZOOM web conference (rsvp to eevans@haverford.edu for a meeting invite)
Date: Monday, October 1
Time: 12:00 – 1:00 pm Eastern
Discussion Leads: 
⇒ Deborah Gross, Professor of Chemistry, Carleton College
⇒ Helen White, Assoc. Professor of Chemistry and Environmental Studies, Haverford College

Prework: add your topic ideas HERE

Related Event: Data Science on ramps and scaffolds (Nov 9, 2018)

Description: Following on from the lively July webinar focused on the NAS Data Science for Undergraduates report (nap.edu/25104), LACOL DS+ members are invited to join a follow up webinar.
(more…)

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Data Science for Undergraduates: Opportunities and Options … a liberal arts conversation

Event: Discussion of the NAS Data Science for Undergraduates Report
Location: ZOOM web conference
Date: Thursday, July 12
Time:
 1:00 PM – 2:00 PM Eastern
Discussion Leader: Professor Nicholas Horton, Amherst College

** Interested in collaboration around data science education for the liberal arts? Sign up to join the new LACOL Data Science+ Group.

Following on from the lively Data Science meets Environmental Studies meet up at the 2018 LACOL summer workshop, LACOL members are invited to join an online conversation to discuss faculty perspectives on the newly released Data Science for Undergraduates: Opportunities and Options report from the National Academies of Science. (More about the NAS report is here: http://nap.edu/25104)

Discussion of the report through a liberal arts lens will be lead by Dr. Nick Horton, Professor of Statistics at Amherst College.  Nick served as contributor to the report on the Committee on Envisioning the Data Science Discipline: the Undergraduate Perspective.   As he and colleagues at the summer workshop note, there is considerable potential to engage with each other as liberal arts colleges around curriculum development (see ASA Guideline, developed with AALAC) and other ways to support students learning to work with data.

Faculty and academic support specialists interested in data science education across the curriculum are encouraged to join this conversation!

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Data Science meets Environmental Studies at LACOL 2018

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Workshop Track: Data Science meets Environmental Studies – Exploration
Facilitators:

  • Cailin Huyck Orr, Assistant Director, Science Education Resource Center (SERC) at Carleton College
  • Kristin O’Connell, Evaluation and Education Specialist, SERC

Program: Session Agendas
Part 1: May 31, 9:30am, Weitz 136
Part 2: June 1, 10:30am, Weitz 230
OLI Discussion: May 31, 3:30pm, Weitz 136

ds diagramThe intersection between Data Science and Environmental Studies is emerging as an area of focus for LACOL as we explore opportunities for collaboration around digitally engaged modes of teaching and learning for the liberal arts.

Several colleges are currently developing programming under the umbrella of Data Science, including critical algorithm studies, big data, data visualization, and data privacy/security. Meanwhile, most LACOL schools have a data-intensive Environmental Studies concentration or major. Interdisciplinary by nature, these areas of study challenge students to understand and work with data from many angles. Students engage in analysis, problem solving, critical thinking, and modes of argument that are deeply connected to social, cultural, political, and aesthetic ideas. Considering such programs, LACOL is thinking about ways that digital collaboration might enrich teaching and learning in this arena.

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Student DataCon@WLU, networking for data analytics, big data and statistical computing

In November 2017, Washington and Lee University held its first DataCon, a new event for students. The two-day program was designed to highlight the impacts and career paths for data analytics, big data and statistical computing across a variety of industries.  The gathering brought together students, faculty, staff and alumni for a series of discussions and networking opportunities around data sciences in both academic and professional life, including ways that analytics are used in the fields of advertising, finance and technology.

DataCon-692x768Reflecting on the experience, DataCon co-organizer Professor Denny Garvis noted:

We can tell already that we are tapping into an existing but quiet network of students, faculty and alumni who are really doing interesting work

The inaugural conference was so successful that another DataCon will be held next year. (more…)

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