June 26, 2022

There are no events currently scheduled for June 26th.

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.

  • Video Available Soon
  • Slides
• 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.

  • Video Available Soon
  • Slides
• 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

• 3:00 - 3:30 pm EDT

  Coffee Break

  11th Floor Collaborative Space

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.

  • Video Available Soon
• 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.

  • Video Available Soon
• 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

• 3:00 - 3:30 pm EDT

  Coffee Break

  11th Floor Collaborative Space

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

  • Video Available Soon
• 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

• 3:00 - 3:30 pm EDT

  Coffee Break

  11th Floor Collaborative Space
• 6:00 - 8:00 pm EDT

  Game Night

  - 10th Floor Collaborative Space

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

• 2:00 - 2:45 pm EDT

  Pattern avoidance in Parking Functions

  Virtual

  • Virtual Speaker
  • Ayo Adeniran, Colby College

  Abstract

  Parking functions have been well-studied in combinatorics. We extend the classical definition of patterns in permutations to parking functions. In particular, we study parking functions that avoid permutations of length 3. A number of well-known combinatorial sequences arise in our analysis, and this talk will highlight several enumeration results and conjectures. This project is joint work with Lara Pudwell(Valparaiso U.)
• 3:00 - 3:30 pm EDT

  Coffee Break

  11th Floor Collaborative Space

July 2, 2022

There are no events currently scheduled for July 2nd.