SICSS-Howard/Mathematica Alumni Receive 2023 Excellence in Computational Social Science Research Awards
This blog post is the eighth, and final, post in a follow-on to our 2021 “The future of computational social science is Black” series, about a Summer Institute in Computational Social Science organized by Howard University and Mathematica. It continues to bring the power of computational social science to the issues of systemic racism and inequality in America. This marks the third iteration of the successful SICSS model being hosted by a Historically Black College or University.
SICSS-Howard/Mathematica’s 2023 Annual New Frontiers in Research and Technology Panel focuses on “AI + Automation + Work”
This blog is the seventh, and penultimate post, in a follow-on to our 2021 “The future of computational social science is Black” series, about a Summer Institute in Computational Social Science organized by Howard University and Mathematica. It continues to bring the power of computational social science to the issues of systemic racism and inequality in America. This marks the third iteration of the successful SICSS model being hosted by a Historically Black College or University.
Latanya Sweeney, Harvard Professor and Founder of the Public Interest Technology Lab, Delivers Keynote Address at SICSS-Howard/Mathematica 2023
This blog post is the sixth of eight in a follow-on to our 2021 “The future of computational social science is Black” series, about a Summer Institute in Computational Social Science organized by Howard University and Mathematica. It continues to bring the power of computational social science to the issues of systemic racism and inequality in America. This marks the third iteration of the successful SICSS model being hosted by a Historically Black College or University.
Latanya Sweeney, scholar of technology science, Daniel Paul Professor of the Practice of Government and Technology at the Harvard Kennedy School and in the Harvard Faculty of Arts and Sciences, and director and founder of the Public Interest Tech Lab, delivered the keynote address for SICSS-Howard/Mathematica 2023.
Exploring Innovations in Computational Social Science: Highlights from SICSS-H/M's Bite-Sized Lunchtime Talks 2023
This blog post is the fifth of eight in a follow-on to our 2021 “The future of computational social science is Black” series, about a Summer Institute in Computational Social Science organized by Howard University and Mathematica. It continues to bring the power of computational social science to the issues of systemic racism and inequality in America. This marks the third iteration of the successful SICSS model being hosted by a Historically Black College or University.
Insights and Inspirations from Leading Scholars for Future Computational Social Scientists
This blog post is the fourth of eight in a follow-on to our 2021 “The future of computational social science is Black” series, about a Summer Institute in Computational Social Science organized by Howard University and Mathematica. It continues to bring the power of computational social science to the issues of systemic racism and inequality in America. This marks the third iteration of the successful SICSS model being hosted by a Historically Black College or University.
The Beauty in Nurturing Communal and Liberating Forms of Computational Social Science
This blog post is the third of eight in a follow-on to our 2021 “The future of computational social science is Black” series, about a Summer Institute in Computational Social Science organized by Howard University and Mathematica. It continues to bring the power of computational social science to the issues of systemic racism and inequality in America. This marks the third iteration of the successful SICSS model being hosted by a Historically Black College or University.
Rethinking Inclusivity in Computational Social Science
This blog post is the second of eight in a follow-on to our 2021 “The future of computational social science is Black” series, about a Summer Institute in Computational Social Science organized by Howard University and Mathematica. It continues to bring the power of computational social science to the issues of systemic racism and inequality in America. This marks the third iteration of the successful SICSS model being hosted by a Historically Black College or University.
Leveraging Data Science to Address Important Questions
This blog post is the first of eight in a follow-on to our “The future of computational social science is Black” series, about a Summer Institute in Computational Social Science organized by Howard University and Mathematica. It continues to bring the power of computational social science to the issues of systemic racism and inequality in America. This marks the third iteration of the successful SICSS model being hosted by a Historically Black College or University.
Finding Personal Restoration through Computational Social Science at Howard University
A SICSS-Howard Mathematica 2021 participant shares how he reconnected with others in a meaningful way and grew personally during his virtual SICSS experience.
Mathematica’s Paul Decker PhD Delivers Closing Plenary Address for SICSS-Howard/Mathematica 2021
Paul Decker PhD, president and chief executive officer of Mathematica and nationally recognized expert on policy research, delivered the closing plenary address on Friday, June 25th at SICSS-Howard/Mathematica 2021.
Timnit Gebru, PhD, one of Fortune’s Top 25 Leaders in the world, Delivers Keynote Address for SICSS-Howard/Mathematica 2021
Timnit Gebru, co-founder of Black in AI, advocate for diversity in the field of technology, and Fortune’s Top 50 Leaders in the World in 2021 delivered the keynote address for SICSS-Howard/Mathematica 2021.
Notable Scholars and Business Leaders share Research and Inspiration with Next Generation of Computational Social Scientists
The first Summer Institute in Computational Social Science hosted at a Historically Black College or University featured a panel of guest speakers who inspired participants with their research and professional trajectory. Lecture topics include re-entry into the job force for incarcerated people, financial statuses of small businesses in relation to the COVID-19 pandemic, social identities and systems of power, and discriminatory bias within technology.
Innovative “Bite-Sized Lunchtime Talks” Offer Unique Opportunity for SICSS-Howard/Mathematica Participants To See Data at Work
SICSS-Howard/Mathematica participants had the benefit of novel Bite-Sized Lunchtime Talks during the inaugural SICSS at a Historically Black College or University. The purpose of this SICSS-H/M specific site innovation was to introduce participants to people and organizations doing impactful and complementary work with data.
Wayne A.I. Frederick Delivers Opening Plenary Address for SICSS-Howard/Mathematica 2021
Wayne A.I. Frederick, seventeenth president of Howard University, delivered the opening plenary address on Sunday, June 13th at the end of SICSS-Howard/Mathematica 2021’s pre-institute, Praxis to Power.
The Future of Computational Social Science is Black: Welcome SICSS-Howard/Mathematica 2021
This blog post is the first of nine in a series called “The future of computational social science is Black” about SICSS-Howard/Mathematica 2021, the first Summer Institute in Computational Social Science held at a Historically Black College or University. As you go through this package of blogs you will experience the journey we took in 2021.
Uncovering new keys to countering anti-Black racism and inequity using computational social science
A new Summer Institute in Computational Social Science organized by Howard University and Mathematica promises to bring the power of computational social science to the issues of systemic racism and inequality in America. This marks the first time the successful SICSS model is being hosted by a Historically Black College or University.
Five principles to get undergraduates involved in real-world data science projects
As a D-Lab and Data Science Education Program Fellow at the University of California, Berkeley in Spring 2020, I helped to ensure and enhance the quality of more than 40 Data Science Discovery Projects, working with community partners and undergraduate research assistants. The goal of these projects was to connect undergraduates with community impact groups, entrepreneurship ventures, and educational initiatives across UC Berkeley and provide them with hands-on and team-based research opportunities outside the classroom.