From Social Science to Data Science
How can you use data science in social science research? Find an interview with the Oxford Internet Institute’s Dr. Bernie Hogan and lots of useful resources in this post.
Howard University Provost Delivers Opening Plenary Address for SICSS-Howard/Mathematica 2022
The opening plenary of SICSS-Howard/Mathematica 2022 featured a fireside chat with Dr. Anthony K. Wutoh, the Provost of Howard University, and Dr. Amy Yeboah Quarkume, an Associate Professor of Africana Studies, to kick off the event.
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.
Data Science for Public Good
In this Methodspace interview Dr. Joel Thurston and Dr. Cesar Montalvo tell us about how data science can be used for social good, and how their program for young scholars is cultivating a next generation of data scientists.
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.
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.
When reading a visualization is what we see really what we get?
When reading a visualization, is what we see really what we get? There are a lot of ways that visualizations can mislead us, such that they appear to show us something interesting that disappears on closer inspection. Such visualization mirages can lead us to see patterns or draw conclusions that don’t exist in our data. We analyze these quarrelsome entities and provide a testing strategy for dispelling them.
In a pandemic, what use is Google?
This blog by Sam Gilbert explains how internet search data is being used in responses to the Covid-19 pandemic, and what search datasets and tools are available to researchers.
The ethics of AI and working with data at scale: what are the experts saying
If we were to do a text mining exercise on all the incredible discussions at last week’s conference 100+ Brilliant Women in AI & Ethics, education would beat all other topics by a mile. We talked about educating kids, we had teenagers share their thoughts on AI in poems and essays, and exchanged views on the nuances of teaching ethics in computing and working with large volumes of social data both for computer scientists and experts from other disciplines.
'A great measure of our success is the community that SICSS creates'. Chris Bail and Matt Salganik on the Summer Institute in Computational Social Science
As the participants gear up for the 2019 Summer Institute in Computational Social Science (SICSS), starting June 16th at Princeton and the 11 alumni-led partner locations situated right across the globe, we caught up with the founders of the SICSS, Chris Bail and Matt Salganik to find out how it all got going, the move to a data intensive society and the benefits of learning data science skills to make the most of this new data.
Tapping into the hidden power of big search data
Sam Gilbert demonstrates the value of big search data for social scientists, and suggests some practical steps to using internet search data in your own research.
SAGE Campus announces two new courses
SAGE Campus are pleased to announce that we are launching two new courses to our suite of online data science courses for social scientists. The new short courses, Research Design in Social Data Science and Collecting Social Media Data, are aimed at those studying, teaching or working in social science disciplines who are looking to take their first steps toward working with big-data driven approaches to social science research.