Danielle Nemeth Danielle Nemeth

GailBot: The Challenges of Internationalizing, Scaling Up, and Working With Other People’s Data

We check in with GailBot, the £15k Concept Grant winner. Combining ASR and ML to capture paralinguistic features, GailBot has been revamped for wider researcher use. After a week-long UCLA hack session, we’re addressing internationalization and user-driven feature requests, ensuring scalable and versatile transcription. Join our Slack Community for updates!

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Danielle Nemeth Danielle Nemeth

Public Administration Researchers Learn Research Skills

This blog by Nur Şat, Associate Professor at Hitit University, Türkiye discusses a project which bridged a critical gap in Public Administration (PA) research by offering a free, online training program on qualitative methods. Master's students and academics honed their skills in areas like proposal development and data analysis. The program attracted strong interest, with a mobile-friendly website garnering nearly 2,000 visits. Participants reported high satisfaction and a significant improvement in their research abilities. This experience offers valuable insights for academics seeking to organize similar projects.

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

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.

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

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.

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

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.

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

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.

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

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.

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