LACOL 2021 Keynote: Catherine D’Ignazio (June 23)

Featured Keynote Day 3:

Data Feminism
June 23 @ 1:30pm Eastern via Zoom

Dr. Catherine D’Ignazio
Assistant Professor, Department of Urban Studies
Massachusetts Institute of Technology
Author, Data Feminism (with L. Klein), @kanarinka

As data are increasingly mobilized in the service of governments and corporations, their unequal conditions of production, their asymmetrical methods of application, and their unequal effects on both individuals and groups have become increasingly difficult for data scientists–and others who rely on data in their work–to ignore. But it is precisely this power that makes it worth asking: “Data science by whom? Data science for whom? Data science with whose interests in mind? These are some of the questions that emerge from what we call data feminism, a way of thinking about data science and its communication that is informed by the past several decades of intersectional feminist activism and critical thought. Illustrating data feminism in action, this talk will show how challenges to the male/female binary can help to challenge other hierarchical (and empirically wrong) classification systems; it will explain how an understanding of emotion can expand our ideas about effective data visualization; how the concept of invisible labor can expose the significant human efforts required by our automated systems; and why the data never, ever “speak for themselves.” How can we operationalize intersectional feminist thinking in order to imagine more ethical and equitable data practices? This talk will focus in particular on examples of play, innovation and emancipatory pedagogy in data science. Read More

Data Science in the Liberal Arts Workshop (June 2019)

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:

Data 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

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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: Read More

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

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 .

Read More

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

Event: Envisioning a “What is data science?” webinar for students
Location: ZOOM web conference
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.
Read More

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

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!

Welcome to the Data Science+ Group Page

Based on conversations at the 2018 LACOL Summer Workshop, an active working group has emerged for Data Science, with a special interest in intersections with Environmental Studies as a data-intensive discipline.

Group Resource Page: Shared by/for Group Members  (submit resources here.)

Areas of collaboration:

  • A webinar series (see below) and study group on data science in the liberal arts.
  • Identifying key data science skills and information falling between curricular cracks at LACOL schools and provide existing resources to begin addressing them.
  • Developing a repository to share software tutorials, commentary, wrappers, assignments, etc., that help teach students to use important tools.
  • Developing a consortium-wide “Intro to Critical Data Collection and Analysis” course.
  • Exploring options for managing research data collections from sensors or data generated collaboratively with other researchers; design requirements or existing database solutions for data sharing, and analysis.

 

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Data Science meets Environmental Studies at LACOL 2018

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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