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.
Create a Personal Impact Development Plan
This practical article with help you reflect on your “impact competencies” and make a plan to make a difference.
Is Novelty in Science a Distracting Obsession?
In a survey of over 1,500 scientists, more than 70 percent of them reported having been unable to reproduce other scientists’ findings at least once. Roughly half of the surveyed scientists ran into problems trying to reproduce their own results. No wonder people are talking about a “reproducibility crisis” in scientific research...
Want to Generate Impact? Get Creative.
... For researchers, this matters more than one thinks because funders are increasingly looking for a real return on their research dollars, euros and pounds. For example, the Ford Foundation, the second largest in the US, expects grantees to “achieve the greatest possible impact”; EU Horizon 2020 Proof of Concept grant applicants must outline the economic and/or societal impact expected from the project; and the UK’s REF, in assessing applications, gives a 25 percent weighting to the ‘reach and significance’ of impact. But what is impact and how can you generate it?
What Does Research Impact Actually Do?
Kristel Alla, Wayne Hall, Harvey Whiteford, Brian Head and Carla Meurk find that academic literature discusses research impact but often without properly defining it. The authors highlight four core elements that comprise most research impact definitions and propose a new conceptualization of research impact relevant to health policy.