Skills, Teaching Methods Danielle Nemeth Skills, Teaching Methods Danielle Nemeth

Rethinking Inclusivity in Computational Social Science

This blog post is the second of nine 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.

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Skills, Teaching Methods Danielle Nemeth Skills, Teaching Methods Danielle Nemeth

Leveraging Data Science to Address Important Questions

This blog post is the first of nine 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.

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SICSS-Howard/Mathematica Alumni Receive Inaugural Excellence in Computational Social Science Research Awards

Summer Institute in Computational Social Science site sponsored by Howard University and Mathematica (SICSS-Howard/Mathematica) awards individuals and teams for the inaugural Excellence in Computational Social Science Research Fund as a unique and exclusive benefit offered to alumni of the site.

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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.

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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.

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Innovative “Praxis to Power” pre-institute marks the beginning of the first Summer Institute in Computational Social Science at a Historically Black University

This blog post is the second 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.

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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.

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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.

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Methods Innovation, Teaching Methods Chris Burnage Methods Innovation, Teaching Methods Chris Burnage

Two weeks at the Summer Institute for Computational Social Science

In June, I attended the second iteration of the Summer Institute for Computational Social Science (SICSS), an intensive two-week program held at Duke that was intended to bring together researchers from across the social science and data science disciplines to learn and discuss topics in computational social science (CSS). Each day, the organizers Chris Bail and Matt Salganik taught mini-lectures on different CSS topics, we split into groups to work on activities together, and a speaker came in to present their research.

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