DASH

Mapping Environmental Jusice

This workshop is for everyone interested in topic such as community development, politics, racism, civil rights, industrialism, food security, or environmental discrimination. Spatial relationships help to define factors that diminish social equity, environmental safety, and ultimately, quality of life. Mapping Environmental Justice offers perspectives from invited speakers who will share their scholarly work surrounding the intersection of the environment and equity, as well as opportunities for participants to learn story mapping, and spatial data availability.

Human in the Data: Ece Kamar | The Real Promise of AI: How to Get AI-Human Collaboration to Work?

While many celebrated efforts in Artificial Intelligence aim at exceeding human performance, the real promise of AI in real-world domains, such as healthcare and law, hinges on developing systems that can successfully support human experts. In this talk, I'll share several directions of research we are pursuing towards effective human-AI partnership in the open world, including combining the complementary strengths of human and machine reasoning, addressing concerns around trust, transparency and reliability, and using AI to improve human engagement.

Tawanna Dillahunt | Designing for Employability: Envisioning Tools and Opportunities for Low-Resource Job Seekers

Information and Communication Technologies (ICTs) are designed to support job seekers’ ability to search for jobs, create resumes, highlight skills, and share employment opportunities. However, the benefits of employment tools and technologies are unequally distributed. ICTs lack advantages for individuals with limited knowledge, skills, or experience to leverage them. Without an understanding of how people from low-resource settings use ICTs for job seeking, the same employment inequalities that occur offline will be repeated in online contexts.

Can the Subaltern Genome Code? Envisioning Innovation & Equity in an Era of Personalized Medicine

This talk examines the relationship between scientific innovation and social inequity. Drawing on work that investigates how racial and caste distinctions shape genomic science in Mexico, South Africa, India, and the US, Dr. Benjamin argues that it is the epistemic and normative dexterity of the field — not its strict enforcement of social hierarchy — that makes it powerful, problematic and, for some, profitable. Linking this insight to a range of contemporary issues at the nexus of data and democracy, Dr.