Data Science in the Liberal Arts: June 5-7

Event: Data Science in the Liberal Arts Workshop
Date: June 5-7
Location: Washington & Lee University
Hosts: Profs. Natalia Toporikova & Moataz Khalifa
Planning Group: Nick Horton (Amherst College), Jingchen (Monika) Hu (Vassar College), Moataz Khalifa (W&L), Natalia Toporikova (W&L)
Attendees: members and associates of the LACOL DS+ working group  (max 30 people)
Registration Page: coming soon
Agenda & Program:

  • Establishing a Think Tank on Data Science in the Liberal Arts: how do we imagine, design, and implement data science curriculums at small colleges; how do we more deeply connect data science to the liberal arts ethos.
  • 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.

About the Data Science+ Working Group: Sparked by conversations at the LACOL summer workshop at Carleton College in 2018, the Data Science + working group is an active forum for faculty and staff to explore the frontiers of data science education at liberal arts colleges – especially looking for ways that collaboration can help to advance shared goals. DS+ held a series of lively webinars in 2018 and also helped to incubate ideas for the LACOL “Introduction to Critical Data Science” class being offered online in Summer 2019.

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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.

(more…)

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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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