Organizing Committee
Abstract

The Social Justice and Data Science Summer Research Program at ICERM 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. In order to advance the mathematics community's understanding of the complexity of computational social justice work, the program will have four emphasis areas (1) networks, (2) policy, (3) education and (4) community-driven research. While the program itself is broadly computational and applied mathematics, researchers with expertise and interests in network science and analysis, open science and data, and computer science are particularly encouraged to apply. 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. The organizers are committed to working with humility and in solidarity with the local community. The program will include a long-term project 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. As such, organizers will also consider applications from researchers with specialties in digital humanities, computational social science, and data science education. 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.

Image for "Data Science and Social Justice: Networks, Policy, and Education"

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

Monday, June 13, 2022
Data Science and Social Justice: Networks, Policy, and Education
  • 9:00 - 9:30 am EDT
    Check In
    11th Floor Collaborative Space
  • 9:30 - 9:45 am EDT
    ICERM Director Welcome
    Welcome - 10th Floor Collaborative Space (Office 1001 side)
    • Brendan Hassett, ICERM/Brown University
  • 9:45 - 10:00 am EDT
    Organizer Welcome
    Welcome - 10th Floor Collaborative Space (Office 1001 Side)
    • Carrie Diaz Eaton, Bates College
  • 10:00 am - 12:30 pm EDT
    Scavenger Hunt (optional)
    Scavenger Hunt
  • 12:30 - 2:00 pm EDT
    Lunch - Discussion of week ahead - Lunch provided by ICERM
    Working Lunch - 10th Floor Collaborative Space (Office 1001 Side)
  • 3:00 - 3:30 pm EDT
    Coffee Break
    11th Floor Collaborative Space
  • 4:30 - 6:00 pm EDT
    Reception
    11th Floor Collaborative Space
Tuesday, June 14, 2022
Data Science and Social Justice: Networks, Policy, and Education
  • 3:00 - 3:30 pm EDT
    Coffee Break
    11th Floor Collaborative Space
  • 3:30 - 5:00 pm EDT
    Introductions/Broad Talks
    11th Floor Lecture Hall
Wednesday, June 15, 2022
Data Science and Social Justice: Networks, Policy, and Education
  • 9:00 - 10:00 am EDT
    AMS visit
    Offsite AMS visit - Address: 201 Charles St, Providence, RI 02904
  • 2:00 - 3:00 pm EDT
    Working group exploration discussion
    Problem Session - 11th Floor Lecture Hall
  • 3:00 - 3:30 pm EDT
    Coffee Break
    11th Floor Collaborative Space
Thursday, June 16, 2022
Data Science and Social Justice: Networks, Policy, and Education
  • 9:00 - 11:00 am EDT
    Research Group formation
    Group Work - 11th Floor Lecture Hall
  • 12:00 - 1:30 pm EDT
    Early career research and mentoring lunch
    Post Doc/Graduate Student Seminar - 11th Floor Conference Room
    Abstract
    Early career research and mentoring lunches will gather postdoctoral and graduate students across ICERM to discuss career development strategies. Each week, organizers will rotate topics and invite guest mentors and/or experts to participate in the discussion.
    Week 1 - Joy and productivity in research
  • 1:30 - 2:30 pm EDT
    Community-based research team
    Meeting - 11th Floor Lecture Hall
  • 3:00 - 3:30 pm EDT
    Coffee Break
    11th Floor Collaborative Space
  • 3:30 - 4:00 pm EDT
    Report Out
    Group Work - 11th Floor Lecture Hall
Friday, June 17, 2022
Data Science and Social Justice: Networks, Policy, and Education
  • 3:00 - 3:30 pm EDT
    Coffee Break
    11th Floor Collaborative Space
  • 3:30 - 4:00 pm EDT
    Community updates
    Meeting - 11th Floor Collaborative Space
  • 3:30 - 4:00 pm EDT
    Report Out
    Group Work - 11th Floor Lecture Hall
Tuesday, June 21, 2022
Data Science and Social Justice: Networks, Policy, and Education
  • 9:00 - 10:00 am EDT
    MM-Math
    Group Work - 10th Floor Classroom
  • 10:00 - 10:10 am EDT
    Group Photo
    11th Floor Lecture Hall
  • 10:00 - 11:00 am EDT
    Nobel
    Group Work - 10th Floor Classroom
  • 10:00 - 11:00 am EDT
    Perspectives
    Group Work - 11th Floor Conference Room
  • 11:00 am - 12:00 pm EDT
    AB-HC
    Group Work - 10th Floor Classroom
  • 11:00 am - 12:00 pm EDT
    Elite
    Group Work - 11th Floor Conference Room
  • 1:30 - 3:00 pm EDT
    #Rtime
    Group Work - 10th Floor Classroom
  • 3:00 - 3:30 pm EDT
    Coffee Break
    11th Floor Collaborative Space
  • 3:30 - 4:00 pm EDT
    Report Out
    Group Work - 11th Floor Lecture Hall
Wednesday, June 22, 2022
Data Science and Social Justice: Networks, Policy, and Education
  • 9:00 - 10:00 am EDT
    MM-Math
    Group Work - 10th Floor Classroom
  • 10:00 - 11:00 am EDT
    Nobel
    Group Work - 10th Floor Classroom
  • 10:00 - 11:00 am EDT
    Perspectives
    Group Work - 11th Floor Conference Room
  • 11:00 am - 12:00 pm EDT
    AB-HC
    Group Work - 10th Floor Classroom
  • 11:00 am - 12:00 pm EDT
    Elite
    Group Work - 11th Floor Conference Room
  • 1:15 - 2:30 pm EDT
    Lunch/Free Time
  • 3:00 - 3:30 pm EDT
    Coffee Break
    11th Floor Collaborative Space
  • 3:30 - 4:00 pm EDT
    Report Out
    Group Work - 11th Floor Lecture Hall
Thursday, June 23, 2022
Data Science and Social Justice: Networks, Policy, and Education
  • 9:00 - 10:00 am EDT
    MM-Math
    Group Work - 10th Floor Classroom
  • 9:00 - 10:00 am EDT
    Community Based Research Team - Virtual Call with the Swearer Center
    Meeting - 11th Floor Conference Room
  • 10:00 - 11:00 am EDT
    Nobel
    Group Work - 10th Floor Classroom
  • 10:00 - 11:00 am EDT
    Perspectives
    Group Work - 11th Floor Conference Room
  • 11:00 am - 12:00 pm EDT
    AB-HC
    Group Work - 10th Floor Classroom
  • 11:00 am - 12:00 pm EDT
    Elite
    Group Work - 11th Floor Conference Room
  • 12:00 - 1:30 pm EDT
    Early career research and mentoring lunch
    Post Doc/Graduate Student Seminar - 11th Floor Conference Room
    Abstract
    Early career research and mentoring lunches will gather postdoctoral and graduate students across ICERM to discuss career development strategies. Each week, organizers will rotate topics and invite guest mentors and/or experts to participate in the discussion. <Br> Week 2 - Work-life harmony
  • 1:30 - 3:00 pm EDT
    #Rtime
    Group Work - 10th Floor Classroom
  • 3:00 - 3:30 pm EDT
    Coffee Break
    11th Floor Collaborative Space
  • 3:30 - 4:00 pm EDT
    Report Out
    Group Work - 11th Floor Lecture Hall
Friday, June 24, 2022
Data Science and Social Justice: Networks, Policy, and Education
  • 9:00 - 10:00 am EDT
    MM-Math
    Group Work - 10th Floor Classroom
  • 10:00 - 11:00 am EDT
    Nobel
    Group Work - 10th Floor Classroom
  • 10:00 - 11:00 am EDT
    Perspectives
    Group Work - 11th Floor Conference Room
  • 11:00 am - 12:00 pm EDT
    AB-HC
    Group Work - 10th Floor Classroom
  • 11:00 am - 12:00 pm EDT
    Elite
    Group Work - 11th Floor Conference Room
  • 1:30 - 3:00 pm EDT
    Community Based Research
    Group Work - 10th Floor Classroom
  • 3:00 - 3:30 pm EDT
    Coffee Break
    11th Floor Collaborative Space
  • 3:30 - 4:00 pm EDT
    Community updates
    Meeting - 11th Floor Collaborative Space
Monday, June 27, 2022
  • 8:30 - 8:50 am EDT
    Check In
    11th Floor Collaborative Space
  • 8:50 - 9:00 am EDT
    Welcome
    11th Floor Lecture Hall
    • Brendan Hassett, ICERM/Brown University
  • 9:00 - 10:00 am EDT
    Mathematical and Computational Approaches to Social Justice: A Practical On-Ramp
    Tutorial - 11th Floor Lecture Hall
    • Chad Topaz, Institute for the Quantitative Study of Inclusion, Diversity, and Equity
    Abstract
    This tutorial provides an overview of some concepts, tools, and approaches relevant to quantitative work in the social justice sphere. We will work together to answer questions like the following: What does research at the interface of data science and social justice even look like? What are the theoretical underpinnings of this work? How can one acquire, clean, explore, visualize, and analyze relevant data? What are typical technical and theoretical challenges a researcher might encounter? What does ethical research look like? What opportunities exist for mathematical sciences researchers to apply their skills to promote justice?
  • 10:15 - 10:45 am EDT
    Coffee Break
    11th Floor Collaborative Space
  • 10:45 - 11:45 am EDT
    Mathematical and Computational Approaches to Social Justice: A Practical On-Ramp
    Tutorial - 11th Floor Lecture Hall
    • Chad Topaz, Institute for the Quantitative Study of Inclusion, Diversity, and Equity
    Abstract
    This tutorial provides an overview of some concepts, tools, and approaches relevant to quantitative work in the social justice sphere. We will work together to answer questions like the following: What does research at the interface of data science and social justice even look like? What are the theoretical underpinnings of this work? How can one acquire, clean, explore, visualize, and analyze relevant data? What are typical technical and theoretical challenges a researcher might encounter? What does ethical research look like? What opportunities exist for mathematical sciences researchers to apply their skills to promote justice?
  • 12:00 - 2:00 pm EDT
    Lunch/Free Time
  • 2:00 - 3:00 pm EDT
    Project Introductions
    Group Presentations - 11th Floor Lecture Hall
    • Nathan Alexander, Morehouse College
    • Philip Chodrow, University of California, Los Angeles
    • Michelle Feng, CalTech
    • Chad Topaz, Institute for the Quantitative Study of Inclusion, Diversity, and Equity
    Abstract
    Each group leader will be given 15 minutes to introduce their project.
  • 3:15 - 3:45 pm EDT
    Coffee Break
    11th Floor Collaborative Space
  • 3:45 - 5:00 pm EDT
    Group Work
    11th Floor Break Out Space - TBA
  • 5:00 - 6:30 pm EDT
    Reception
    11th Floor Collaborative Space
Tuesday, June 28, 2022
  • 9:00 - 10:00 am EDT
    An introduction to network analysis and modeling with applications to social contagion processes
    Tutorial - 11th Floor Lecture Hall
    • Juan Restrepo, University of Colorado Boulder
    Abstract
    Networks can be used to study and create models of social, engineering, and biological systems. In this tutorial I will introduce basic concepts and methods of network analysis and provide some examples of simple social system models. Some of the topics that will be discussed are methods of representing networks, basic characteristics of network structure, tutorials on importing network datasets and generating synthetic networks, and examples of various social contagion models. The goal of this tutorial is to give the audience the tools to create and explore basic models of social dynamics on synthetic or existing network datasets.
  • 10:15 - 10:45 am EDT
    Coffee Break
    11th Floor Collaborative Space
  • 10:45 - 11:45 am EDT
    An introduction to network analysis and modeling with applications to social contagion processes
    Tutorial - 11th Floor Lecture Hall
    • Juan Restrepo, University of Colorado Boulder
    Abstract
    Networks can be used to study and create models of social, engineering, and biological systems. In this tutorial I will introduce basic concepts and methods of network analysis and provide some examples of simple social system models. Some of the topics that will be discussed are methods of representing networks, basic characteristics of network structure, tutorials on importing network datasets and generating synthetic networks, and examples of various social contagion models. The goal of this tutorial is to give the audience the tools to create and explore basic models of social dynamics on synthetic or existing network datasets.
  • 12:00 - 2:00 pm EDT
    Lunch/Free Time
  • 2:00 - 3:00 pm EDT
    Group Work
    11th Floor Break Out Space - TBA
  • 3:00 - 3:30 pm EDT
    Coffee Break
    11th Floor Collaborative Space
  • 3:30 - 5:00 pm EDT
    Group Work
    11th Floor Break Out Space - TBA
Wednesday, June 29, 2022
  • 9:00 - 10:00 am EDT
    Policing police networks: An invitation
    11th Floor Lecture Hall
    • Tian An Wong, University of Michigan-Dearborn
    Abstract
    40 minutes for talk & 20 minutes for discussion
    In the summer of 2020, a large subset of the mathematical community agreed to boycott collaboration with the police. But how exactly have mathematicians collaborated with the police? In this talk, I will present a selective overview of predictive policing and predicting police, with a focus on network approaches, ranging from social network analysis of crime to network models of police misconduct, with a view towards a critical mathematical theory of policing. In doing so, I will make the case that there remains much interesting and urgent work to be done in this space.
  • 10:15 - 10:45 am EDT
    Coffee Break
    11th Floor Collaborative Space
  • 10:45 am - 12:00 pm EDT
    Group Work
    11th Floor Break Out Space - TBA
  • 12:00 - 2:00 pm EDT
    Lunch/Free Time
  • 2:00 - 3:00 pm EDT
    Data Feminism in Action
    11th Floor Lecture Hall
    • Virtual Speaker
    • Lauren Klein, Emory University
    Abstract
    40 minutes for talk & 20 minutes for discussion
    What is data feminism? How is feminist thinking being incorporated into data-driven work? And how are scholars in the humanities and social sciences, in particular, bringing together data science and feminist theory in their research? Drawing from her recent book, Data Feminism (MIT Press, 2020), coauthored with Catherine D’Ignazio, Klein will present a set of principles for doing data science that are informed by the past several decades of intersectional feminist activism and critical thought. In order to illustrate these principles, she will focus on a recent research project which involves the development of a model of lexical semantic change that, when combined with network analysis, tells a new story about antislavery activism and interracial solidarity (or the difficulties thereof) in the nineteenth-century United States. This example demonstrates how feminist thinking can indeed be operationalized into more ethical, more intentional, and more capacious data practices--particularly with respect to networks--in the digital humanities, computational social science, and beyond.
  • 3:15 - 3:45 pm EDT
    Coffee Break
    11th Floor Collaborative Space
  • 3:45 - 5:00 pm EDT
    Group Work
    11th Floor Break Out Space - TBA
Thursday, June 30, 2022
  • 9:00 - 10:00 am EDT
    Public Discourse on Twitter and the COVID-19 Pandemic: A Look at Two Case Studies on Black Maternal Health and #MyBodyMyChoice
    11th Floor Lecture Hall
    • Ashley Champagne, Brown University
    • Diana Grigsby-Toussaint, Brown University
    • Shahrzad Haddadan, Brown University
    • Bjorn Sandstede, Brown University
    • Justin Uhr, Brown University
    Abstract
    40 minutes for talk & 20 minutes for discussion
    How has public discourse changed on Twitter over the COVID-19 pandemic? This talk will offer two case studies: the first on #MyBodyMyChoice, a hashtag originally created to advocate for women's rights but that has now drifted towards conversations around Covid-19, and the second on how advocates for Black maternal health changed the focus of their tweets over the pandemic. co-presented by Diana Grigsby, Justin Uhr, Shahrzad Haddadan, Bjorn Sandstede
  • 10:15 - 10:45 am EDT
    Coffee Break
    11th Floor Collaborative Space
  • 10:45 - 11:45 am EDT
    Supporting Network Analysis at the Center for Digital Scholarship
    11th Floor Lecture Hall
    • Speakers
    • Ashley Champagne, Brown University
    • Patrick Rashleigh, Brown University
    • Virtual Speaker
    • Maiah Letsch, Utrecht University
    Abstract
    40 minutes for talk & 20 minutes for discussion
    The Center for Digital Scholarship at Brown University offers hands-on instruction on a variety of digital scholarship methodologies, including network analysis, and this presentation will offer a snapshot of our services. First, we will share one of the ways we introduce students to network analysis. Next, this presentation will demo how we have used network analysis for one of our projects, Stolen Relations: Recovering Stories of Indigenous Enslavement in the Americas, which is led by Professor Linford Fisher (Department of History, Brown University). The Stolen Relations project is a community-based effort to build a database of enslaved Indigenous people in order to promote greater understanding of the historical circumstances and ongoing trauma of settler colonialism. The team has used the biographical information related to enslaved Indigenous people to chart networks and relations. These are hard realities and difficult histories, but they need to be told fully so we can start to be more honest about the history of this country and think more clearly about how to make amends going forward. Network analysis is one such way we can tell part of this story.
  • 11:45 - 11:50 am EDT
    Group Photo
    11th Floor Lecture Hall
  • 12:00 - 2:00 pm EDT
    Lunch/Free Time
  • 2:00 - 3:00 pm EDT
    Group Work
    11th Floor Break Out Space - TBA
  • 3:00 - 3:30 pm EDT
    Coffee Break
    11th Floor Collaborative Space
  • 3:30 - 5:00 pm EDT
    Group Work
    11th Floor Break Out Space - TBA
Friday, July 1, 2022
  • 9:00 - 10:00 am EDT
    Promoting effective and enduring collaboration in networks
    11th Floor Lecture Hall
    • Speaker
    • Carrie Diaz Eaton, Bates College
    • Virtual Speaker
    • Jason Williams, Cold Spring Harbor Laboratory
    Abstract
    40 minutes for talk & 20 minutes for discussion
    We synthesize ideas and experience from research coordination networks to discuss how to foster success for the future of social justice research involving data science and computational methods. Together, we will lead discuss goals for the collaboration network. To achieve those goals, we consider conversations that the community should have as they move towards collaborative teams, introducing tools and techniques for both team communication and computational collaboration. We also ask that individuals reflect on how their personal goals and strengths will help the research team and the network.
  • 10:15 - 10:45 am EDT
    Coffee Break
    11th Floor Collaborative Space
  • 10:45 - 11:45 am EDT
    Big Challenges and Resources in Interdisciplinary Teams
    Panel Discussion - 11th Floor Lecture Hall
    • Panelists
    • Manuchehr Aminian, California State Polytechnic University, Pomona
    • Jude Higdon, QSIDE Institute
    • Katherine Kinnaird, Smith College
    • Sarah Shugars, NYU
  • 12:00 - 2:00 pm EDT
    Lunch/Free Time
  • 2:00 - 2:30 pm EDT
    Project 1 Presentation
    Group Presentations - 11th Floor Lecture Hall
    • Project Leader
    • Chad Topaz, Institute for the Quantitative Study of Inclusion, Diversity, and Equity
  • 2:45 - 3:15 pm EDT
    Project 2 Presentation
    Group Presentations - 11th Floor Lecture Hall
    • Project Leader
    • Philip Chodrow, University of California, Los Angeles
  • 3:15 - 3:45 pm EDT
    Coffee Break
    11th Floor Collaborative Space
  • 3:45 - 4:15 pm EDT
    Project 3 Presentation
    Group Presentations - 11th Floor Lecture Hall
    • Project Leader
    • Michelle Feng, CalTech
  • 4:30 - 5:00 pm EDT
    Project 4 Presentation
    Group Presentations - 11th Floor Lecture Hall
    • Project Leader
    • Nathan Alexander, Morehouse College
Tuesday, July 5, 2022
Data Science and Social Justice: Networks, Policy, and Education
  • 9:00 - 10:00 am EDT
    #Rtime
    Group Work - 10th Floor Classroom
  • 9:00 - 10:00 am EDT
    MM-JEDI
    Group Work - 11th Floor Conference Room
  • 10:00 - 11:00 am EDT
    Nobel
    Group Work - 10th Floor Classroom
  • 10:00 - 11:00 am EDT
    Perspectives
    Group Work - 11th Floor Conference Room
  • 11:00 am - 12:00 pm EDT
    Structural Racism & Healthcare
    Group Work - 10th Floor Classroom
  • 11:00 am - 12:00 pm EDT
    Elite
    Group Work - 11th Floor Conference Room
  • 1:30 - 3:00 pm EDT
    MM-Math
    Group Work - 10th Floor Classroom
  • 3:00 - 3:30 pm EDT
    Coffee Break
    11th Floor Collaborative Space
  • 3:30 - 4:00 pm EDT
    Report Out
    Group Work - 11th Floor Lecture Hall
Wednesday, July 6, 2022
Data Science and Social Justice: Networks, Policy, and Education
  • 9:00 - 10:00 am EDT
    MM- JEDI
    Group Work - 11th Floor Conference Room
  • 10:00 - 11:00 am EDT
    Nobel
    Group Work - 10th Floor Classroom
  • 10:00 - 11:00 am EDT
    Perspectives
    Group Work - 11th Floor Conference Room
  • 11:00 am - 12:00 pm EDT
    Structural Racism & Healthcare
    Group Work - 10th Floor Classroom
  • 11:00 am - 12:00 pm EDT
    Elite
    Group Work - 11th Floor Conference Room
  • 1:30 - 3:00 pm EDT
    MM-Math
    Group Work - 10th Floor Classroom
  • 3:00 - 3:30 pm EDT
    Coffee Break
    11th Floor Collaborative Space
  • 3:30 - 4:00 pm EDT
    Report Out
    Group Work - 11th Floor Lecture Hall
Thursday, July 7, 2022
Data Science and Social Justice: Networks, Policy, and Education
  • 9:00 - 10:00 am EDT
    MM-Math
    Group Work - 10th Floor Classroom
  • 9:00 - 10:00 am EDT
    #Rtime
    Group Work - 10th Floor Classroom
  • 9:00 am - 12:00 pm EDT
    Community Based Research Team: Meeting with the "Woonasquatucket Watershed Council" New Voices at the Water Table and a tour of the Woonasquatucket watershed
    Meeting - 45 Eagle St, Providence, RI
  • 9:00 - 10:00 am EDT
    MM - JEDI
    Group Work - 11th Floor Collaborative Space
  • 10:00 - 11:00 am EDT
    Nobel
    Group Work - 10th Floor Classroom
  • 10:00 - 11:00 am EDT
    Perspectives
    Group Work - 11th Floor Conference Room
  • 11:00 am - 12:00 pm EDT
    Structural Racism & Healthcare
    Group Work - 10th Floor Classroom
  • 11:00 am - 12:00 pm EDT
    Elite
    Group Work - 11th Floor Conference Room
  • 12:00 - 2:00 pm EDT
    Early career research and mentoring lunch
    Post Doc/Graduate Student Seminar - 11th Floor Conference Room
    Abstract
    Early career research and mentoring lunches will gather postdoctoral and graduate students across ICERM to discuss career development strategies. Each week, organizers will rotate topics and invite guest mentors and/or experts to participate in the discussion. <Br> Week 3 - Establishing collaboration and mentoring networks & Job search advice and career explorations
  • 3:00 - 3:30 pm EDT
    Coffee Break
    11th Floor Collaborative Space
  • 3:00 - 3:30 pm EDT
    Report Out
    Group Work - 11th Floor Lecture Hall
Friday, July 8, 2022
Data Science and Social Justice: Networks, Policy, and Education
  • 1:30 - 3:00 pm EDT
    Closing Remarks
    11th Floor Lecture Hall
  • 3:00 - 3:30 pm EDT
    Coffee Break
    11th 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 .

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Associated Program Workshops