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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Moving From Praxis To Power: Innovative Pre-Institute Marks The Return of SICSS-Howard/Mathematica

The first Summer Institute in Computational Social Science held at a Historically Black College or University, returns to Howard University for its two-day pre-institute, Praxis to Power for graduate students, postdoctoral researchers, and beginning faculty who needed more time to practice computational methods.

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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 “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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From Princeton to London via Chicago: My Summer Institute in Computational Social Science journey

Continuing our series on the Summer Insitute in Computational Social Science, Joshua Becker traces his SICSS journey.

Before I get into this, you should know I’m a network researcher. So even though this is ostensibly about a summer program, it’s also about networking. I almost didn’t participate in the Summer Institute in Computational Social Science, or SICSS as I now know it fondly. At the time, I thought it was just about learning the skills — and I felt I had a solid methods foundation — and mainly just applied because it seemed like the kind of thing I was supposed to do as a grad student. Having never previously seen the gorgeous Princeton campus, I imagined the trip itself as little more than spending two weeks in suburban New Jersey rather than at home with my wife. Luckily, I applied. And luckily, I was accepted. Mileage may vary, but I made out well on the deal.

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