Miller

AALAC Workshop
Data Science in the Liberal Arts
June 28-29, 2023
Bryn Mawr College

Registration (is FREE). If interested, please fill out the Registration Form at the link: CLICK HERE.

Description: The goal of this workshop is to help define the role of Computer Science programs/departments in the emerging Data Science programs at AALAC institutions. The practice of Data Science, while currently grounded in Computer Science, Mathematics, and Statistics, spans and impacts intellectual enquiry in all disciplines across the campus.

This multi-day workshop will bring together faculty from Computer Science and other disciplines at AALAC colleges to examine, explore, and participate in the shaping of a vision for the education and scholarship of Data Science in liberal arts institutions. We invite faculty from colleges that have already implemented Data Science programs, as well as those who are either in the process of creating one, and those who are creating programs that are focused more on the Data Analytics domain.

This is a follow-up workshop to the 2021 DSLAC Workshop. Those who were unable to attend the 2021 workshop are also welcome.

Topics & Outcomes: We will primarily focus on curricular models, themes, and examplar courses implemented and/or planned in the near future.

Based on the discussions and deliberations we expect that an active working group or a community will be formed whose charge will be to create one or more white papers on the shape of Data Science curricula in the liberal arts with a particular eye toward the role of and impact on computer science programs.

Format/Dates/Times

This is an in-person only workshop for all attendees.

Co-Located Summer School in Data Science

The Foundations of Data Science Institute (FODSI) will be holding their Annual Summer School in Data Science at Bryn Mawr from June 27-28, 2023 (Link will appear here when available). All attendees to the DSLAC Workshop are also invited to attend any or part of the Summer School.

Logistics

All attendees will be provided with single occupancy dorm rooms from Wednesday, June 28-30 on campus (or earlier if planning to attend the Summer School as well). Cost of all lodging and meals will be covered.

Travel funds are available but limited. We will try to cover travel costs for most/several attendees. Please indicate interest during registration (see below).

Arrivals/Departures

Please take a look at the skeletal schedule and plan your arrival for the morning/early afternoon of Wednesday, June 28. Departures can be in the evening of Thursday, June 29 or on Friday, June 30.

Bryn Mawr, PA is located in the suburbs of Philadelphia, PA. If flying, please book travel to/from Philadelphia International Airport (PHL). The airport is ~22 miles from campus. If using Uber, please use the address:
Bryn Mawr College - New Dorm, 101 N. Merion Ave., Bryn Mawr, PA 19010.

Theere are two AMTRAK train stations: Philadelphia 30th Street Station, and Ardmore, PA). Local SEPTA Regional Line trains connect these to the Bryn Mawr station on Paoli-Thorndale Line which is a short walk to the dorms/campus.

SEPTA Regional Line trains also connect PHL airport via a train to 30th Street Station. From there you have to switch to the Paoli-Thorndale Line to go to the Bryn Mawr.

SEPTA Paoli/Thorndale Line: Schedule
SEPTA Airport Line: Schedule

Registration (is FREE). If interested, please fill out the Registration Form at the link: CLICK HERE.

Please note: Registration is an indication of interest. Space is limited. You will receive a formal confirmation of participation after registration.

Organizing Committee
Valerie Barr, Bard College
Sorelle Friedler, Haverford College
Deepak Kumar, Bryn Mawr College
Panagiotis Metaxas, Wellesley College
Eni Mustafaraj, Wellesley College
Richard Wicentowski, Swarthmore College

Workshop Primary Contact
Deepak Kumar
Professor of Computer Science
Bryn Mawr College
Bryn Mawr, PA 19010
dkumar at cs dot brynmawr dot edu

Participants

Nicholas Horton (Mathematics & Statistics)
Amherst College

Jordan Ayala (Data Analytics & Environmental Studies)
Bard College

Valerie Barr (Computer Science)
Bard College

Deepak Kumar (Computer Science)
Bryn Mawr College

Marc Schulz (Data Science & Psychology)
Bryn Mawr College

Randall Pruim (Mathematics & Statistics, Computer Science)
Calvin College

Sarah Supp (Data Analytics)
Denison University

Lynne Butler (Mathematics)
Haverford College

Sorelle Friedler (Computer Science)
Haverford College

Sara Mathieson (Computer Science)
Haverford College

Eric Miller (Biology)
Haverford College

Leslie Hebb (Physics)
Hobart & William Smith Colleges

Alex Lyford (Mathematics & Statistics)
Middlebury College

Joshua Davidson (Computer Science, Statistics & Data Science))
Oberlin College

Winston Ou (Mathematics & Data Science)
Scripps College

Michael Spezio (Data Science)
Scripps College

Michael Wehar (Computer Science)
Swarthmore College

Richard Wicentowski (Computer Science)
Swarthmore College

Brian Brubach (Computer Science)
Wellesley College

Panagiotis Metaxas (Computer Science)
Wellesley College

Eni Mustafaraj (Computer Science)
Wellesley College

Marina Ptukhina (Mathematics & Statistics)
Whitman College

Stephen Freund (Computer Science)
Williams College

 

Registration (is FREE). If interested, please fill out the Registration Form at the link: CLICK HERE.

Sessions/Agenda (Room 300 Dalton Hall)
All sessions are in-person only for attendees.

Co-located with Summer School in Data Science on June 27-28.

Session #1 Wednesday June 28, 2023

2:45 – 2:50 Welcome
2:50 – 3:45 Invited Talk: Veridical Data Science
Bin Yu (UC Berkeley)
3:45 – 4:00 Break
4:00 – 5:00 Invited Talk: Data Science for Discoverers
Slides: Link
Ani Adhikari (UC Berkeley)

Session #2 Thursday June 29, 2023

9:00 – 9:30 Coffee
9:30 – 10:30

Data Science Programs & Flavors
Led by: Deepak Kumar & Marc Schulz (Bryn Mawr)
10:30 – 10:45 Break
10:45 – 12:00 Example Courses + Open Discussion Presentations: Sarah Supp (Denison), Eric Miller (Haverford), Stephen Freund (Williams)
Topics: Overview of courses at Denison, Haverford, and others
Led by: Rich Wicentowski (Swarthmore)
12:00 – 1:30 Lunch
1:30 – 2:30 Data Science Ethics and Policy + Open Discussion Presentations: Michael Spezio (Scripps) & Sorelle Friedler (Haverford)
Topics: Integrating Fairness/ethics in core DS curriculum, connections between policy and DS. Led by: Sorelle Friedler
 2:30 – 2:45 Break
2:45 – 3:45 Project-Based Learning in Data Science + Open Discussion Presentations: Nicholas Horton (Amherst) & Alex Lyford (Middlebury), and others Led by: Eni Mustafaraj (Wellesley)
3:45 – 4:00 Break
4:00 – 5:00 Concluding Panel: As we build out our own data science initiatives, majors, minors, programs what can we do to simultaneously reaffirm the value of other forms of knowledge and the value of students engaging with those forms of knowledge in deep and thoughtful ways. Is there any way in which we can position our efforts as a counterpoint to those that are solely focused on just data.
Led by: Valerie Barr (Bard)
Panelists: Nicholas Horton (Amherst), Sarah Supp (Denison), Sorelle Friedler (Haverford), Alex Lyford (Middlebury), Windtos Ou (Scripps), Marc Schulz (Bryn Mawr)


AALAC: The Alliance to Advance Liberal Arts Colleges has the following members:

Amherst College, Barnard College, Bryn Mawr College, Carleton College, Colorado College, Davidson College, Denison University, Furman University, Grinnell College, Haverford College, Hobart And William Smith Colleges, Macalester College, Middlebury College, Mount Holyoke College, Oberlin College, Pomona College, Reed College, Rhodes College, Scripps College, Smith College, Swarthmore College, Vassar College, Wesleyan University, Wellesley College, and Williams College


This workshop is supported by funds from AALAC, the Center for Science of Information (an NSF Science & Technology Center grant NSF CCF-0939370), and Foundations Of Data Science Institute (FODSI). Thank you!