Happy 2nd Week of Classes!

Hello DSPers & DAQA Specializers,
A gentle reminder that the Registration deadline is on Friday, 9/12. We hope you're already finalizing your registration. For those who are still navigating, YOU GOT THIS!

We know the start of the semester can feel overwhelming, but planning ahead, staying curious, and discussing with your DSP/SIPA peers would definitely help. Also, your DSP team is here to support you. Don’t hesitate to reach out with questions as you settle in.

In case you're interested in navigating Gender Data for Gender Equality, we still have some seats available with the course below.

Fall Course with Seats Available

SIPA6645IA | Gender Data for Gender Equality

Prof. Emmanuel Letouzé
Counts for MIA and MPA Policy Skills II Core
In recent years, despite enhanced awareness about the magnitude and multifaceted nature of gender inequalities on the one hand, and the promises of the ‘Data Revolution’ including AI on the other hand, gaps remain in both data availability and usage of 'Gender Data' that aim to both capture the underlying dynamics, drivers and outcomes of gender inequalities, and promote gender equality. The #MeToo movement and the COVID-19 pandemic in particular highlighted both the salience and implications of gender inequalities, including the “shadow pandemic” of sexual and gender-based violence, and, indeed, the dearth of quality data on these issues. In this context, the goal of this course is to train advanced students on the historical and latest discussions, opportunities, challenges, requirements, and limitations of leveraging various types of data to fill ‘gender data gaps’ and promote gender equality, and equip them with practical resources and tools to shape current and future debates and policies.

Click Here to Read More and Register!

DSP Concentration and Minor Requirements and course lists can be found on our DSP Bulletin Page

Minor in Data Science for Public Policy (9 credits total)

This minor is designed for students without a background in coding who wish to apply data science methods to public policy questions.

To fulfill the requirements for this minor, students must complete Computing in Context (IA6000, 3 credits) and six (6) credits of Data Science electives, for a total of nine (9) credits.

Minor in Quantitative Analysis for Public Policy (9 credits total)

Minor in Program Evaluation for Public Policy (9 credits total) 

Fall is a perfect time to be in the city, so take advantage of what the city has to offer:

• The Met Museum: one of the world's largest and most comprehensive art museums, housing over 2 million works with an amazing rooftop garden. The garden is going to be closed this October till 2030, so catch it before it closes
• Central Park: We are sure that you probably visited the park already, but it is a must to visit it during Fall when the leaves turn orange for a pincic with friends, long run, or even a study break.
• Brooklyn Bridge: A breathetaking view of Manhattan skyline. Bonus point if you caught sunset or sunrise there.