Organizing Committee
Abstract

In Summer 2023, ICERM hosts the second of two summer programs entitled The Social Justice and Data Science Summer Research Program. This program aims to increase interest, research training, and capacity for data science for social justice, and to develop both quantitative and qualitative approaches to those professional practices that call for community engagement, critical inquiry, and interdisciplinary cooperation. Building off of Summer 2022's program, which included a workshop on network science and analysis as well as foundational conversations with community partners, the Summer 2023 program will advance the mathematics community's understanding of the complexity of computational social justice work through three emphasis areas (1) policy, (2) education, and (3) community-driven research.

As a new field emerges at the face of computational and applied mathematics and social justice, this requires new methods for working across community lines. In order to address the novel and interdisciplinary problems arising out of community needs, participants will work together to develop new or refine existing computational methods whose applications may be broader than the original problem. The organizers are committed to working with humility and in solidarity with one another and with the local community. The program will include engagement with the local community and invest in the education of the next generation of researchers by driving the development and direction of new computational methods for quantitative social justice research. Researchers with expertise and interests in using mathematical models and/or data science to examine social justice issues in policy and/or education are particularly encouraged to apply. The organizers also seek applications from researchers with specialties in digital humanities, computational social science, and data science education.

Image for "Data Science and Social Justice: Networks, Policy, and Education (Part II)"
This program is partially funded by an American Mathematical Society (AMS) donation.

Organizing Committee
Abstract

In Summer 2023, ICERM hosts the second of two summer programs entitled The Social Justice and Data Science Summer Research Program. This program aims to increase interest, research training, and capacity for data science for social justice, and to develop both quantitative and qualitative approaches to those professional practices that call for community engagement, critical inquiry, and interdisciplinary cooperation. Building off of Summer 2022's program, which included a workshop on network science and analysis as well as foundational conversations with community partners, the Summer 2023 program will advance the mathematics community's understanding of the complexity of computational social justice work through three emphasis areas (1) policy, (2) education, and (3) community-driven research.

As a new field emerges at the face of computational and applied mathematics and social justice, this requires new methods for working across community lines. In order to address the novel and interdisciplinary problems arising out of community needs, participants will work together to develop new or refine existing computational methods whose applications may be broader than the original problem. The organizers are committed to working with humility and in solidarity with one another and with the local community. The program will include engagement with the local community and invest in the education of the next generation of researchers by driving the development and direction of new computational methods for quantitative social justice research. Researchers with expertise and interests in using mathematical models and/or data science to examine social justice issues in policy and/or education are particularly encouraged to apply. The organizers also seek applications from researchers with specialties in digital humanities, computational social science, and data science education.

Image for "Data Science and Social Justice: Networks, Policy, and Education (Part II)"

Confirmed Speakers & Participants

Talks will be presented virtually or in-person as indicated in the schedule below.

  • Speaker
  • Poster Presenter
  • Attendee
  • Virtual Attendee

Program Schedule

Tuesday, June 20, 2023
  • 8:30 - 8:50 am EDT
    Check In
    Check In - 11th Floor Collaborative Space
  • 8:50 - 9:00 am EDT
    Welcome
    11th Floor Lecture Hall
    • Misha Kilmer, Tufts University
  • 9:00 - 9:50 am EDT
    Program Overview
    11th Floor Lecture Hall
    • Kevin Bales, U. of Nottingham
    • Ashley Greene, Keene State College
    • Joseph Hibdon, Northeastern Illinois University
    • Jessica Libertini, Joint Special Operations University
    • Jenny Mercado, Woonasquatucket River Watershed Council
    • Tamara Nopper, Rhode Island College
    • Albert Nyarko-Agyei, The Rights Lab
    • Victor Piercey, Ferris State University
    • Mary Kate Soliva, Guam Human Rights Initiative
    • Tian An Wong, University of Michigan-Dearborn
  • 9:50 - 10:30 am EDT
    Panel 1A
    Panel Discussion - 11th Floor Lecture Hall
    • Panelist
    • Cristopher Moore, Santa Fe Institute
  • 10:30 - 11:10 am EDT
    Panel 1B
    Panel Discussion - 11th Floor Lecture Hall
    • Panelist
    • Karen Saxe, American Mathematical Society
  • 11:10 - 11:20 am EDT
    Coffee Break
    11th Floor Collaborative Space
  • 11:20 - 11:50 am EDT
    Panel 1 Q&A 1
    Panel Discussion - 11th Floor Lecture Hall
    • Panelists
    • Cristopher Moore, Santa Fe Institute
    • Karen Saxe, American Mathematical Society
  • 11:50 am - 12:00 pm EDT
    Instructions
    Pre - Lunch Meeting - 11th Floor Lecture Hall
    • Jessica Libertini, Joint Special Operations University
    • Victor Piercey, Ferris State University
    • Tian An Wong, University of Michigan-Dearborn
  • 12:00 - 1:15 pm EDT
    Levels of Action Lunch & Learn
    Working Lunch - 11th Floor Collaborative Space
  • 1:15 - 1:55 pm EDT
    Panel 1C
    Panel Discussion - 11th Floor Lecture Hall
    • Panelist
    • Winnie Nakiyingi, African Institute for Mathematical Sciences (AIMS) Rwanda
  • 1:55 - 2:35 pm EDT
    Panel 1D
    Panel Discussion - 11th Floor Lecture Hall
    • Panelist
    • Illah Nourbakhsh, Carnegie Mellon University
  • 2:45 - 3:15 pm EDT
    Panel 1 Q&A 2
    Panel Discussion - 11th Floor Lecture Hall
    • Panelists
    • Winnie Nakiyingi, African Institute for Mathematical Sciences (AIMS) Rwanda
    • Illah Nourbakhsh, Carnegie Mellon University
  • 3:15 - 3:30 pm EDT
    Coffee Break
    11th Floor Collaborative Space
  • 3:30 - 4:30 pm EDT
    Leader Introduction and Breakout Groups
    Group Presentations - 11th Floor Lecture Hall
    • Speaker
    • Ashley Greene, Keene State College
    • Project Leaders
    • Kevin Bales, U. of Nottingham
    • Joseph Hibdon, Northeastern Illinois University
    • Jenny Mercado, Woonasquatucket River Watershed Council
    • Tamara Nopper, Rhode Island College
    • Albert Nyarko-Agyei, The Rights Lab
    • Victor Piercey, Ferris State University
    • Mary Kate Soliva, Guam Human Rights Initiative
    • Tian An Wong, University of Michigan-Dearborn
  • 4:30 - 5:00 pm EDT
    Report Out
    Group Work - 11th Floor Lecture Hall
  • 5:00 - 6:30 pm EDT
    Reception
    11th Floor Collaborative Space
Wednesday, June 21, 2023
  • 9:00 - 9:15 am EDT
    Welcome
    11th Floor Lecture Hall
  • 9:15 - 9:55 am EDT
    Panel 2 A
    Panel Discussion - 11th Floor Lecture Hall
    • Panelist
    • Selena Fisk, Dr Selena Fisk Pty Ltd
  • 9:55 - 10:35 am EDT
    Panel 2 B
    Panel Discussion - 11th Floor Lecture Hall
    • Panelist
    • Michael McGlasson, The Robotics Institute Carnegie Mellon University
  • 10:45 - 11:15 am EDT
    Panel 2 Q & A 1
    Panel Discussion - 11th Floor Lecture Hall
    • Panelists
    • Selena Fisk, Dr Selena Fisk Pty Ltd
    • Michael McGlasson, The Robotics Institute Carnegie Mellon University
  • 11:15 am - 12:15 pm EDT
    Group Work
    Assigned Group Space
  • 12:15 - 1:15 pm EDT
    Lunch/Free Time
  • 1:15 - 1:55 pm EDT
    Panel 2 C
    Panel Discussion - 11th Floor Lecture Hall
    • Panelist
    • Sorin Matei, Purdue University (Virtual)
  • 1:55 - 2:35 pm EDT
    Panel 2 D
    Panel Discussion - 11th Floor Lecture Hall
    • Panelist
    • Samuel Sinyangwe, Police Scorecard (Virtual)
  • 2:45 - 3:15 pm EDT
    Panel 2 Q & A 2
    Panel Discussion - 11th Floor Lecture Hall
  • 3:15 - 3:30 pm EDT
    Coffee Break
    11th Floor Collaborative Space
  • 3:30 - 4:30 pm EDT
    Group Work
    Assigned Group Space
  • 4:30 - 5:00 pm EDT
    Report Out
    Group Work - 11th Floor Lecture Hall
Thursday, June 22, 2023
  • 9:00 - 10:30 am EDT
    Group Work
    Assigned Group Space
  • 10:30 - 10:50 am EDT
    Coffee Break
    11th Floor Collaborative Space
  • 10:50 am - 12:00 pm EDT
    Group Work
    Assigned Group Space
  • 12:00 - 1:30 pm EDT
    Lunch/Free Time
  • 1:30 - 3:10 pm EDT
    Group Work
    Assigned Group Space
  • 3:10 - 3:30 pm EDT
    Coffee Break
    11th Floor Collaborative Space
  • 3:30 - 4:30 pm EDT
    Group Work
    Assigned Group Space
  • 4:30 - 5:00 pm EDT
    Wrap Up
    Closing Remarks - 11th Floor Lecture Hall
Friday, June 23, 2023
  • 9:00 - 10:00 am EDT
    Group Work
    Assigned Group Space
  • 10:20 - 11:00 am EDT
    Group Work (Presentation Preparation)
    Group Work - Assigned Group Space
  • 10:30 - 10:50 am EDT
    Coffee Break
    11th Floor Collaborative Space
  • 11:00 - 11:30 am EDT
    Pre-Lunch Activity
    Pre-Lunch Activity - 11th Floor Lecture Hall
  • 11:30 - 11:45 am EDT
    Group Photo (Immediately After Talk)
    11th Floor Lecture Hall
  • 11:45 am - 1:00 pm EDT
    Matrixed Cross-Pollination of Research Techniques Across Small Groups Working Lunch
    Working Lunch - 11th Floor Collaborative Space
  • 1:00 - 1:35 pm EDT
    Group Presentation - Human Trafficking
    Group Presentations - 11th Floor Lecture Hall
    • Project Leaders
    • Kevin Bales, U. of Nottingham
    • Albert Nyarko-Agyei, The Rights Lab
    • Mary Kate Soliva, Guam Human Rights Initiative
  • 1:35 - 2:10 pm EDT
    Group Presentation - Environmental Justice
    Group Presentations - 11th Floor Lecture Hall
    • Project Leaders
    • Joseph Hibdon, Northeastern Illinois University
    • Jenny Mercado, Woonasquatucket River Watershed Council
  • 2:10 - 2:45 pm EDT
    Group Presentation - Policing
    Group Presentations - 11th Floor Lecture Hall
    • Project Leaders
    • Tamara Nopper, Rhode Island College
    • Tian An Wong, University of Michigan-Dearborn
  • 2:45 - 3:20 pm EDT
    Group Presentation - Genocide
    Group Presentations - 11th Floor Lecture Hall
    • Speaker
    • Ashley Greene, Keene State College
    • Project Leader
    • Victor Piercey, Ferris State University
  • 3:20 - 3:40 pm EDT
    Coffee Break
    11th Floor Collaborative Space
  • 3:40 - 4:40 pm EDT
    Session on Opening Doors
    Tutorial - 11th Floor Lecture Hall
    • Jessica Libertini, Joint Special Operations University
    • Victor Piercey, Ferris State University
    • Tian An Wong, University of Michigan-Dearborn
  • 4:40 - 5:00 pm EDT
    Wrap up and Appreciation
    Closing Remarks - 11th Floor Lecture Hall
    • Jessica Libertini, Joint Special Operations University
    • Victor Piercey, Ferris State University
    • Tian An Wong, University of Michigan-Dearborn
Monday, June 26, 2023
Data Science and Social Justice: Networks, Policy, and Education (Part II)
  • 9:00 - 10:00 am EDT
    Kick Off
    Meeting - 10th Floor Collaborative Space
  • 2:30 - 3:00 pm EDT
    Coffee Break
    10th Floor Collaborative Space
Tuesday, June 27, 2023
Data Science and Social Justice: Networks, Policy, and Education (Part II)
  • 2:30 - 3:00 pm EDT
    Coffee Break
    10th Floor Collaborative Space
Wednesday, June 28, 2023
Data Science and Social Justice: Networks, Policy, and Education (Part II)
  • 2:30 - 3:00 pm EDT
    Coffee Break
    10th Floor Collaborative Space
Thursday, June 29, 2023
Data Science and Social Justice: Networks, Policy, and Education (Part II)
  • 2:30 - 3:00 pm EDT
    Coffee Break
    10th Floor Collaborative Space
Friday, June 30, 2023
Data Science and Social Justice: Networks, Policy, and Education (Part II)
  • 2:30 - 3:00 pm EDT
    Coffee Break
    10th Floor Collaborative Space
Monday, July 3, 2023
Data Science and Social Justice: Networks, Policy, and Education (Part II)
  • 2:30 - 3:00 pm EDT
    Coffee Break
    10th Floor Collaborative Space
Tuesday, July 4, 2023
Data Science and Social Justice: Networks, Policy, and Education (Part II)
  • 2:30 - 3:00 pm EDT
    Coffee Break
    10th Floor Collaborative Space
Wednesday, July 5, 2023
Data Science and Social Justice: Networks, Policy, and Education (Part II)
  • 2:30 - 3:00 pm EDT
    Coffee Break
    10th Floor Collaborative Space
Thursday, July 6, 2023
Data Science and Social Justice: Networks, Policy, and Education (Part II)
  • 9:00 - 10:00 am EDT
    Writing Accountability Group
    Meeting - 10th Floor Classroom
  • 10:00 - 11:00 am EDT
    Quantitative Reasoning for Social Justice
    Meeting - 10th Floor Classroom
  • 11:00 am - 12:00 pm EDT
    Vecines
    Meeting - 10th Floor Classroom
  • 2:00 - 3:00 pm EDT
    MetaMath
    Meeting - 10th Floor Classroom
  • 2:30 - 3:00 pm EDT
    Coffee Break
    10th Floor Collaborative Space
  • 3:30 - 4:00 pm EDT
    Report Out
    Meeting - 10th Floor Collaborative Space
Friday, July 7, 2023
Data Science and Social Justice: Networks, Policy, and Education (Part II)
  • 9:00 - 10:00 am EDT
    Writing Accountability Group
    Meeting - 10th Floor Classroom
  • 10:00 - 11:00 am EDT
    Quantitative Reasoning for Social Justice
    Meeting - 10th Floor Classroom
  • 11:00 am - 12:00 pm EDT
    Vecines
    Meeting - 10th Floor Classroom
  • 2:00 - 3:00 pm EDT
    MetaMath
    Meeting - 10th Floor Classroom
  • 2:30 - 3:00 pm EDT
    Coffee Break
    10th Floor Collaborative Space
Monday, July 10, 2023
Data Science and Social Justice: Networks, Policy, and Education (Part II)
  • 9:00 - 10:00 am EDT
    Writing Accountability Group
    Meeting - 10th Floor Classroom
  • 10:00 - 11:00 am EDT
    Quantitative Reasoning for Social Justice
    Meeting - 10th Floor Classroom
  • 11:00 am - 12:00 pm EDT
    Vecines
    Meeting - 10th Floor Classroom
  • 2:00 - 3:00 pm EDT
    MetaMath
    Meeting - 10th Floor Classroom
  • 2:30 - 3:00 pm EDT
    Coffee Break
    10th Floor Collaborative Space
Tuesday, July 11, 2023
Data Science and Social Justice: Networks, Policy, and Education (Part II)
  • 9:00 - 10:00 am EDT
    Writing Accountability Group
    Meeting - 10th Floor Classroom
  • 10:00 - 11:00 am EDT
    Quantitative Reasoning for Social Justice
    Meeting - 10th Floor Classroom
  • 11:00 am - 12:00 pm EDT
    Vecines
    Meeting - 10th Floor Classroom
  • 2:00 - 3:00 pm EDT
    MetaMath
    Meeting - 10th Floor Classroom
  • 2:30 - 3:00 pm EDT
    Coffee Break
    10th Floor Collaborative Space
  • 3:30 - 4:00 pm EDT
    Report Out
    Meeting - 10th Floor Collaborative Space
Wednesday, July 12, 2023
Data Science and Social Justice: Networks, Policy, and Education (Part II)
  • 9:00 - 10:00 am EDT
    Writing Accountability Group
    Meeting - 10th Floor Classroom
  • 10:00 - 11:00 am EDT
    Quantitative Reasoning for Social Justice
    Meeting - 10th Floor Classroom
  • 11:00 am - 12:00 pm EDT
    Vecines
    Meeting - 10th Floor Classroom
  • 2:00 - 3:00 pm EDT
    MetaMath
    Meeting - 10th Floor Classroom
  • 2:30 - 3:00 pm EDT
    Coffee Break
    10th Floor Collaborative Space
Thursday, July 13, 2023
Data Science and Social Justice: Networks, Policy, and Education (Part II)
  • 9:00 - 10:00 am EDT
    Writing Accountability Group
    Meeting - 10th Floor Classroom
  • 10:00 - 11:00 am EDT
    Quantitative Reasoning for Social Justice
    Meeting - 10th Floor Classroom
  • 11:00 am - 12:00 pm EDT
    Vecines
    Meeting - 10th Floor Classroom
  • 2:00 - 3:00 pm EDT
    MetaMath
    Meeting - 10th Floor Classroom
  • 2:30 - 3:00 pm EDT
    Coffee Break
    10th Floor Collaborative Space
  • 3:30 - 4:00 pm EDT
    Report Out
    Meeting - 10th Floor Collaborative Space
Friday, July 14, 2023
Data Science and Social Justice: Networks, Policy, and Education (Part II)
  • 9:00 - 10:00 am EDT
    Writing Accountability Group
    Meeting - 10th Floor Classroom
  • 10:00 - 11:00 am EDT
    Quantitative Reasoning for Social Justice
    Meeting - 10th Floor Classroom
  • 11:00 am - 12:00 pm EDT
    Vecines
    Meeting - 10th Floor Classroom
  • 2:00 - 3:00 pm EDT
    MetaMath
    Meeting - 10th Floor Classroom
  • 2:30 - 3:00 pm EDT
    Coffee Break
    10th Floor Collaborative Space
Monday, July 17, 2023
  • 9:00 - 9:10 am EDT
    Welcome
    11th Floor Lecture Hall
    • Brendan Hassett, ICERM/Brown University
  • 9:15 - 10:00 am EDT
    Data Skills and Justice in the Undergraduate Mathematics Curriculum
    11th Floor Lecture Hall
    • Speaker
    • Chad Topaz, Institute for the Quantitative Study of Inclusion, Diversity, and Equity
    • Session Chair
    • Ron Buckmire, Occidental College
    Abstract
    While the importance of data science training has been highlighted by stakeholders across the mathematical sciences, the fusion of data skills with core parts of the curriculum has yet to be fully realized. In parallel to this challenge, the mathematical sciences are struggling with issues of equity, diversity, and inclusion. This talk presents pathways for incorporating data skills into undergraduate mathematics education in ways that support social justice. One pathway is through the classroom. I will present selected examples of course activities such as creation of computational art designed to celebrate artists from marginalized identity groups. A second pathway is through undergraduate research. I will showcase data-intensive student projects related to criminal justice. Finally, I will highlight resources for instructors who themselves want to grow their data skills and/or their understanding of social justice.
  • 10:15 - 10:30 am EDT
    Coffee Break
    11th Floor Collaborative Space
  • 10:30 - 11:15 am EDT
    The Art of Skepticism in a Data-Driven World
    11th Floor Lecture Hall
    • Virtual Speaker
    • Jevin West, Center for an Informed Public Information School, University of Washington
    • Session Chair
    • Omayra Ortega, Sonoma State University
    Abstract
    Today’s world is more thoroughly quantified than ever before. We are awash in numbers, statistics, and data-hungry algorithms. Quantitative information is power: it is used to convey objectivity, to strengthen arguments, and to inform decisions—and all too often it is used by humans and human-like chatbots to impress, overwhelm, and persuade without any conviction to truth. Fortunately, one doesn’t need an advanced degree in data science (although quite helpful) to see through the vast majority of quantitative misinformation. Drawing on examples from current events of misleading claims and misuses of artificial intelligence, this talk aims to empower data scientists and the everyday information consumer to push back when confronted by numerical arguments and data-hungry technologies. By focusing attention on the data sources and their weaknesses, rather than on the complex and often obscure algorithms and statistical procedures, we can see through the hype and hold our own against those selling quantitative snake-oil.
  • 11:30 am - 12:30 pm EDT
    Project Introductions
    Program Overview - Virtual
    • Omayra Ortega, Sonoma State University
  • 12:30 - 2:30 pm EDT
    Networking Lunch
    Lunch/Free Time - 11th Floor Collaborative Space
  • 2:30 - 3:15 pm EDT
    Data Science for Social Justice – A Tool for Broadening Participation on Dual Fronts
    11th Floor Lecture Hall
    • Speaker
    • R. Uma, NC Central University
    • Session Chair
    • Katharine Ott, Bates College
    Abstract
    We use “Data Science for Social Justice” as a tool to broaden the participation of students from historically marginalized communities (HMC) in STEM by infusing social justice into STEM learning as well as to broaden the participation of students from non-STEM disciplines (where underrepresentation is not as big a problem) in data science by infusing data science into discussions on social justice issues relevant to their respective disciplines. In this talk I will discuss our methodology and experiences with past and on-going projects.
    This is joint work with faculty and researchers from NC Central University (Alade Tokuta, and Rakesh Malhotra), Cynosure Consulting (Rebecca Zulli Lowe, and Adrienne Smith), Fayetteville State University (Sambit Bhattacharya), Winston-Salem State University (Debzani Deb), and Worcester Polytechnic Institute (Elisabeth Stoddard, and Marja Bakermans).
  • 3:30 - 4:00 pm EDT
    Yellow Pig Day Break
    Coffee Break - 11th Floor Collaborative Space
  • 4:00 - 4:45 pm EDT
    Data, Justice, and K-16 Ed.
    11th Floor Lecture Hall
    • Speakers
    • Wynter Duncanson, MathWorks
    • Wesley Hamilton, MathWorks
    • Session Chair
    • Katharine Ott, Bates College
    Abstract
    In this presentation, the authors will talk about some of their strategies and approaches to incorporating justice-related themes in data science and math modeling education at the middle school, high school, and undergraduate (school) level. These include: developing extracurricular data science activities centering on climate change; developing community partnerships and involvement; engaging students through math modeling competitions; and hosting datathons centered on justice and activism.
  • 5:00 - 6:30 pm EDT
    Reception
    11th Floor Collaborative Space
Tuesday, July 18, 2023
  • 9:15 - 10:00 am EDT
    Histories of African Americans Connecting Mathematics and Society
    11th Floor Lecture Hall
    • Speaker
    • Nathan Alexander, Morehouse College
    • Session Chair
    • Omayra Ortega, Sonoma State University
    Abstract
    The world often looks to philosophy and the social sciences as opposed to the mathematical sciences to discuss and explore topics related to equity, collective action, and justice. Since the late 19th and early 20th centuries, however, African American scholars have taken social theories, which are strong in intuitive content, and expressed them in more formal terms using mathematics and data. Despite recent advances in discourses at the intersections of mathematics and social justice, the narratives and legacies of many of these African Americans who used mathematics and real-world data to understand society, especially in the American South, have been lost. This talk will explore the foundations of models used by African Americans to examine inequities in history with the intention of developing more just futures. More specifically, this talk will connect the intuitive aspects of a global experience to understand the means through which mathematics served as an integral tool for African Americans to not only speak to their experiences but also to the logic of democracy, race, and racism.
  • 10:15 - 10:30 am EDT
    Coffee Break
    11th Floor Collaborative Space
  • 10:30 - 11:15 am EDT
    Data Science Modules with Berkeley's American Cultures Classes - Lessons from 5 years of collaboration between American Cultures faculty and Data Science Undergraduate Studies
    11th Floor Lecture Hall
    • Speaker
    • Eric Van Dusen, University of California, Berkeley
    • Session Chair
    • Omayra Ortega, Sonoma State University
    Abstract
    This talk will cover the collaboration between a Data Science Student team and the faculty of the American Cultures courses. The Data Science Modules student team is group of students who build interactive computational notebooks for faculty members. The American Cultures requirement is a university-wide requirement at Berkeley that all students take a class within a set of classes on American Cultures. The 5 year collaboration has led to the creation of innovative pedagogy in student explorations of applied datasets on topics such as mass incarceration, environmental racism, redlining, labor movements. etc. The talk will be paired with workshop opportunities of getting participants to interact with the computational notebooks and reflect on the pedagogical implications.
  • 11:30 am - 12:15 pm EDT
    PIC Math – Enabling external partnerships for student research experiences in data analytics
    11th Floor Lecture Hall
    • Speaker
    • Suzanne Weekes, SIAM
    • Session Chair
    • Ron Buckmire, Occidental College
  • 12:30 - 2:30 pm EDT
    PIC Math lunch - Funded by MAA-SIAM PIC Math grant
    Lunch/Free Time - 11th Floor Collaborative Space
  • 2:30 - 3:00 pm EDT
    Participants form working groups
    Group Work - 11th Floor Lecture Hall
  • 3:00 - 3:30 pm EDT
    Coffee Break
    11th Floor Collaborative Space
  • 3:30 - 4:30 pm EDT
    Group Work
    Assigned Group Work Space
  • 4:30 - 5:00 pm EDT
    Report Out
    Meeting - 11th Floor Lecture Hall
  • 5:00 - 6:30 pm EDT
    (Optional) Skills Workshop: Teaching about social justice with interactive computing and Jupyter notebooks as pedagogical tools
    Tutorial - 11th Floor Lecture Hall
    • Eric Van Dusen, University of California, Berkeley
    Abstract
    The purpose of this workshop will be to give educators hands-on experience building and executing Jupyter notebooks for classroom use. Workshop participants can work through some example notebooks with social justice applications that have been used in UC Berkeley classrooms. Then workshop participants can practice building their own instructional notebooks. Using a cloud-based workshop hub, no set up is necessary and the workshop deployment will simulate the classroom environment.

    This is an optional event, ICERM staff including IT support will not be available for this event.
Wednesday, July 19, 2023
  • 9:00 - 9:45 am EDT
    Whose data science? Empowering students through authentic engagement
    11th Floor Lecture Hall
    • Speaker
    • Lily Khadjavi, Loyola Marymount University
    • Session Chair
    • Matt Salomone, Bridgewater State University
    Abstract
    In Mathematics and Democracy, Lynn Steen and collaborators called for a literacy that ``empowers people by giving them the tools to think for themselves, to ask intelligent questions of experts, and to confront authority confidently.'' This sets an inspiring goal for data science curricula infused with issues of social justice. We can engage and motivate students with entry points that include local or regional data and by encouraging students to raise questions of their own. In this session, we’ll touch on simple examples that can be introduced in the classroom as shorter exercises or scaled up for student projects and beyond, even taking the instructor on unexpected journeys. For traditionally-trained mathematical scientists, creating more open-ended assignments connected to societal issues also raises questions around assessment. We’ll invite a group discussion sharing ways to approach this, both of student work and of our own as instructors.
  • 10:00 - 10:15 am EDT
    Coffee Break
    11th Floor Collaborative Space
  • 10:15 - 11:00 am EDT
    Mathematics is the Gateway to Social Justice. Let’s quantify it.
    11th Floor Lecture Hall
    • Speaker
    • Juan Gutiérrez, University of Texas at San Antonio
    • Session Chair
    • Matt Salomone, Bridgewater State University
    Abstract
    The narrative of the mathematics profession is shaped by those elevated by institutions to leave a permanent record in the form of interviews, presentations, publications, reviews, etc. This begs the questions: Is access to this privileged discourse based on merit alone? If so, what are the pathways to gain such merit? Are they equitable? In this presentation, we will describe the effect of early access to mathematics on college performance. The analysis of national data describing access to Algebra II in high school, as well as the analysis of 5.5 million credit hours and 86k students over five years at The University of Texas at San Antonio, reveals that underperformance in mathematics is the single largest predictor of changing majors (including mathematics) or dropping out of college. This trend starts in K-12 with unevenness shaped by socioeconomic factors and continues through graduate education. These dynamics perpetuate a cycle of privilege and exclusion. A strategy based on data analytics was designed and implemented at UTSA. We will discuss substantial improvements in student performance and future directions that will guarantee that the face of success matches the face of society.
  • 11:00 - 11:15 am EDT
    Group Photo (Immediately After Talk)
    11th Floor Lecture Hall
  • 11:15 am - 12:30 pm EDT
    Group Work
    Assigned Group Space
  • 12:30 - 2:30 pm EDT
    Lunch/Free Time
  • 2:30 - 4:00 pm EDT
    Group Work
    Assigned Group Work Space
  • 4:00 - 4:30 pm EDT
    Coffee Break
    11th Floor Collaborative Space
  • 4:30 - 5:00 pm EDT
    Report Out
    Meeting - 11th Floor Lecture Hall
Thursday, July 20, 2023
  • 9:00 - 10:00 am EDT
    Group Work
    Assigned Group Work Space
  • 10:00 - 10:30 am EDT
    Coffee Break
    11th Floor Collaborative Space
  • 10:30 am - 12:30 pm EDT
    Group Work
    Assigned Group Work Space
  • 12:30 - 2:30 pm EDT
    Partnerships across industry, non-profits, and education Lunch
    Lunch/Free Time - 11th Floor Collaborative Space
  • 2:30 - 4:00 pm EDT
    Group Work
    Assigned Group Work Space
  • 4:00 - 4:30 pm EDT
    Coffee Break
    11th Floor Collaborative Space
  • 4:30 - 5:00 pm EDT
    Report Out
    Meeting - 11th Floor Lecture Hall
Friday, July 21, 2023
  • 9:00 - 10:00 am EDT
    Free Time / Final Group Work
    Group Work - Assigned Group Work Space
  • 10:00 - 10:30 am EDT
    Coffee Break
    11th Floor Collaborative Space
  • 10:30 am - 12:30 pm EDT
    Transforming institutional practices through equitable and inclusive data science education pathways, programs and practices
    Tutorial - 11th Floor Lecture Hall
    • Speaker
    • Padhu Seshaiyer, George Mason University
    • Session Chair
    • Ron Buckmire, Occidental College
    Abstract
    In the last few years, there has been increasing focus on integrating data science into a wide range of higher education curricula through programs and pathways building from foundations in mathematics, statistics and computer science with applications to real-world problems arising from sectors including business, industry, government, health, education and much more. Along with this integration, it is also important to incorporate the importance of the power of data science methods to tackle pressing social justice challenges that can help to not only gain insights but also to improve decision-making and creation of sustainable and scalable solutions that will impact the society in an equitable and inclusive way. In this talk, we will describe examples of sustainable data science programs and pathways for developing innovative multi-disciplinary research and education opportunities to solve societal challenges with some relevant examples using various technology tools and problem-solving frameworks. We will also discuss potential opportunities for students and faculty to collaborate on new developments in data science to engage the next generation workforce.
  • 12:30 - 2:30 pm EDT
    Lunch/Free Time
  • 2:30 - 4:00 pm EDT
    Group Presentations
    11th Floor Lecture Hall
    • Session Chair
    • Drew Lewis, University of South Alabama
  • 4:00 - 4:30 pm EDT
    Coffee Break
    11th Floor Collaborative Space
Monday, July 24, 2023
Data Science and Social Justice: Networks, Policy, and Education (Part II)
  • 9:00 - 10:00 am EDT
    Writing Accountability Group
    Meeting - 10th Floor Classroom
  • 10:00 - 11:00 am EDT
    Quantitative Reasoning for Social Justice
    Meeting - 10th Floor Classroom
  • 2:00 - 3:00 pm EDT
    MetaMath
    Meeting - 10th Floor Classroom
  • 2:30 - 3:00 pm EDT
    Coffee Break
    10th Floor Collaborative Space
Tuesday, July 25, 2023
Data Science and Social Justice: Networks, Policy, and Education (Part II)
  • 9:00 - 10:00 am EDT
    Writing Accountability Group
    Meeting - 10th Floor Classroom
  • 10:00 - 11:00 am EDT
    Quantitative Reasoning for Social Justice
    Meeting - 10th Floor Classroom
  • 1:00 - 2:00 pm EDT
    #disruptJMM
    Meeting - 11th Floor Conference Room
  • 2:00 - 3:00 pm EDT
    MetaMath
    Meeting - 10th Floor Classroom
  • 2:00 - 3:00 pm EDT
    QGIS Seminar
    Seminar - 11th Floor Conference Room
  • 2:30 - 3:00 pm EDT
    Coffee Break
    10th Floor Collaborative Space
Wednesday, July 26, 2023
Data Science and Social Justice: Networks, Policy, and Education (Part II)
  • 9:00 am - 3:00 pm EDT
    Data Science and Social Justice: Networks, Policy, and Education
    Meeting - 10th Floor Classroom
  • 2:30 - 3:00 pm EDT
    Coffee Break
    10th Floor Collaborative Space
Thursday, July 27, 2023
Data Science and Social Justice: Networks, Policy, and Education (Part II)
  • 9:00 - 10:00 am EDT
    Writing Accountability Group
    Meeting - 10th Floor Classroom
  • 10:00 - 11:00 am EDT
    Quantitative Reasoning for Social Justice
    Meeting - 10th Floor Classroom
  • 11:00 am - 12:00 pm EDT
    COVID-19 amplified racial disparities in the US criminal legal system
    10th Floor Classroom
    • Brennan Klein, Network Science Institute
  • 2:00 - 3:00 pm EDT
    Final project presentations
    Group Presentations - 10th Floor Classroom
  • 2:30 - 3:00 pm EDT
    Coffee Break
    10th Floor Collaborative Space
Friday, July 28, 2023
Data Science and Social Justice: Networks, Policy, and Education (Part II)
  • 2:30 - 3:00 pm EDT
    Coffee Break
    10th Floor Collaborative Space

All event times are listed in ICERM local time in Providence, RI (Eastern Standard Time / UTC-5).

All event times are listed in .

Request Reimbursement

This section is for general purposes only and does not indicate that all attendees receive funding. Please refer to your personalized invitation to review your offer.

ORCID iD
As this program is funded by the National Science Foundation (NSF), ICERM is required to collect your ORCID iD if you are receiving funding to attend this program. Be sure to add your ORCID iD to your Cube profile as soon as possible to avoid delaying your reimbursement.
Acceptable Costs
  • 1 roundtrip between your home institute and ICERM
  • Flights on U.S. or E.U. airlines – economy class to either Providence airport (PVD) or Boston airport (BOS)
  • Ground Transportation to and from airports and ICERM.
Unacceptable Costs
  • Flights on non-U.S. or non-E.U. airlines
  • Flights on U.K. airlines
  • Seats in economy plus, business class, or first class
  • Change ticket fees of any kind
  • Multi-use bus passes
  • Meals or incidentals
Advance Approval Required
  • Personal car travel to ICERM from outside New England
  • Multiple-destination plane ticket; does not include layovers to reach ICERM
  • Arriving or departing from ICERM more than a day before or day after the program
  • Multiple trips to ICERM
  • Rental car to/from ICERM
  • Flights on a Swiss, Japanese, or Australian airlines
  • Arriving or departing from airport other than PVD/BOS or home institution's local airport
  • 2 one-way plane tickets to create a roundtrip (often purchased from Expedia, Orbitz, etc.)
Travel Maximum Contributions
  • New England: $350
  • Other contiguous US: $850
  • Asia & Oceania: $2,000
  • All other locations: $1,500
  • Note these rates were updated in Spring 2023 and superseded any prior invitation rates. Any invitations without travel support will still not receive travel support.
Reimbursement Requests

Request Reimbursement with Cube

Refer to the back of your ID badge for more information. Checklists are available at the front desk and in the Reimbursement section of Cube.

Reimbursement Tips
  • Scanned original receipts are required for all expenses
  • Airfare receipt must show full itinerary and payment
  • ICERM does not offer per diem or meal reimbursement
  • Allowable mileage is reimbursed at prevailing IRS Business Rate and trip documented via pdf of Google Maps result
  • Keep all documentation until you receive your reimbursement!
Reimbursement Timing

6 - 8 weeks after all documentation is sent to ICERM. All reimbursement requests are reviewed by numerous central offices at Brown who may request additional documentation.

Reimbursement Deadline

Submissions must be received within 30 days of ICERM departure to avoid applicable taxes. Submissions after thirty days will incur applicable taxes. No submissions are accepted more than six months after the program end.

Associated Program Workshops