Diversity in Computer Systems Research
Computer systems are the backbone of modern applications – from your operating system making the computer's hardware intelligent, to a machine learning framework like Tensorflow abstracting the details of how to turn a high-level idea into number crunching, or the massive systems that keep today's cloud data centers efficient. The science of building efficient, easy-to-use, and trustworthy computer systems is about discovering key ideas that help make people get more out of their computers. Computer systems research has contributed many key advances in recent decades, and great ideas in systems have had stunning practical impact on the industry.
But systems research, like much of CS research in general, suffers from a lack of diversity: only a handful of papers in the top systems conferences have non-male lead authors. This program seeks to improve diversity in systems research through a year-long program of research experience for undergraduate students in CS who identify as women and/or related marginalized genders. If you enjoy systems (or think you might!), this program gives you an opportunity to learn about careers in research, how people navigate graduate school and the publication process, and give you a chance to work on a systems research project of your own with faculty at Brown University. No prior research experience required!
Our goal is to expose students to what computing research can look like, to help them build self-efficacy and practical research skills, and to encourage them to pursue graduate studies in computer science. We are especially interested in applicants from colleges and universities that do not already offer extensive research opportunities.
Socially-Responsible AI for Computational Creativity
Artificial intelligence is often in the news for the wrong reasons: privacy-penetrating surveillance systems, "deepfakes," racial bias in predictive policing, and more. All hope is not lost, though: when used in a socially responsible manner, AI can be used for good. For example, it can be used to augment the creative capabilities of people, a process often called computational creativity. Creating images, 3D models, writing, games: in these domains and more, AI is offering new and exiting ways for people to realize their creative visions.
Brown CS is proud to partner with Google Research to offer exploreCSR: Socially-Responsible AI for Computational Creativity, a semesterlong immersive research experience program for undergraduate students which focuses on exactly these subjects. We encourage students from historically-underrepresented groups within computer science to apply, which includes, but is not limited to, students that identify as women, underrepresented minority (URM), first-generation college, low-income, and/or LGBTQ+. No prior research experience required! Our goal is to expose students to what computing research can look like, to help them build self-efficacy and practical research skills, and to encourage them to pursue graduate studies in computer science. We are especially interested in applicants from colleges and universities that do not already offer extensive research opportunities.