fiscally conservative Does Your Phone Know Where You Live? Exploring Data Trails as a Tool for Property Rights

We live in an increasingly urban and networked world. As our social and economic lives move online, we are beginning to generate a wealth of data that can reveal important things about our movements and behaviors. The financial inclusion sector is already relying on digital footprints to offer banking services to populations previously deemed un-creditworthy. The humanitarian sector, meanwhile, is turning to social media and cell phone data to locate disaster survivors. Can these models be applied to land and property rights?

We think this idea is exciting, but there are a host of questions that need to be addressed before this idea can become a reality. New America’s Future of Property Rights program and Omidyar Network are hosting a closed-door workshop which will bring together policymakers, funders, advocates and technologists to explore how new forms of digital evidence can be harnessed to document land and property rights.

Join us on September 27th for an in-depth conversation about this overlooked but critically-important topic.

The event will begin with a series of presentations highlighting innovative approaches to using personal data to tackle humanitarian and development challenges, including disaster and post-conflict land restitution. The presentations will be followed by a catered lunch, after which attendees will engage in working groups to examine key questions raised by the presentations, and their application to property rights. In the final session, the working groups will present their findings for discussion. The goal is to determine the viability of using our data trails to prove where we live, to identify the biggest implementation barriers, and the most likely scenarios for first adoption.

Time: September 27th, 10:00 AM - 2:30 PM

Speakers:

Emmanuel Letouzé, @ManuLetouze
Director and co-Founder, Data-Pop Alliance
Emmanuel Letouzé is the Director and co-Founder of Data-Pop Alliance, a coalition on big data and development co-created in 2013 by the Harvard Humanitarian Initiative, MIT Media Lab, and the Overseas Development Institute.

Heather Dahl
CEO, Sovrin Foundation
Heather Dahl is CEO of the Sovrin Foundation, an international non-profit that was established to govern the Sovrin Identity Network, a public service utility enabling self-sovereign identity on the internet.

Xavier Vollenweider
Economist, Flowminder
Xavier Vollenweider is an economist at Flowminder, non-profit based in Stockholm, Sweden that analyzes data from mobile phones, satellites, and surveys to improve public health and welfare in low- and middle-income countries. Xavier’s interest lies in using novel data sources and techniques to characterise poverty dynamics, climate vulnerability and the adoption of mobile financial services.

Matthew Pritchard, @mfpritchard
Consultant, International Organization for Migration, South Sudan
Matthew Pritchard is a researcher who specializes in post-war and post-crisis land tenure reform, including the use of non-traditional digital evidence for post-conflict housing, land, and property restitution.

Follow the conversation online using #PropRightsData and following @NewAmericaFPR.


Omidyar Network uses the transformative power of people, markets, and technology to drive empowerment and accelerate solutions equal to today’s challenges. Established in 2004 by philanthropists Pam and Pierre Omidyar, founder of eBay, our efforts focus on society’s most pressing issues. We seek to create a more equitable economy, promote responsible technology, and discover emergent issues that will shape our future.​ To date, we have committed nearly $1.5 billion to for-profit companies and nonprofit organizations. To learn more, visit www.omidyar.com or follow on Twitter @omidyarnetwork.

When
Sep. 27, 2019
10:00 am - 2:30 pm
Where
New America
740 15th St NW #900 Washington, D.C. 20005
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fiscally conservative Does Your Phone Know Where You Live? Exploring Data Trails as a Tool for Property Rights
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