IoP for the 99%
Nicki Dell
Cornell Tech
nixdell@cornell.edu www.nixdell.com
IoP for the 99% Nicki Dell Cornell Tech nixdell@cornell.edu - - PowerPoint PPT Presentation
IoP for the 99% Nicki Dell Cornell Tech nixdell@cornell.edu www.nixdell.com What is the Internet of People? 2 Who are the People in IoP? 80% of worlds population lives in so-called developing regions 3 4 How can we bridge
Cornell Tech
nixdell@cornell.edu www.nixdell.com
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80% of world’s population lives in so-called “developing” regions
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“Oh, just give them connectivity….”
Poverty Education Gender equality Infant mortality Maternal health Human rights Conservation Computers Cell phones Mobile devices Networks Connectivity Energy and power Transport Culture Gender Politics Language Literacy Social structures Communication
Infrastructure constraints Diverse communities Global problems
Technology is not enough!
Diversity of interaction modalities
Voice, text, web, etc.
“Offline first” approach Sustainability through partnerships Human-centered design and iteration
Values, culture, language, etc.
Work “backwards” from specific communities or “applications” to generalizable theory / design
Case study: Digital Privacy in the Global South
Hundreds of millions of people are adopting digital devices for the first time
Poor understanding of the risks Non-Western values and practices
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We need new privacy mechanisms that fit the needs and values of non-Western populations Personal computing paradigm doesn’t fit Rich reuse, recycle, repair ecosystems Patriarchal societies Serious consequences of privacy breaches Different values, cultures, regulations
Case study: The Use of Technology in Intimate Partner Violence (IPV)
IPV is a pervasive societal problem
Affects 30% of women, 25% of men
Technology plays a pivotal role in IPV
Stalking, harassment, tracking, etc.
Abuser often has physical access to devices and accounts
Characterize the use of tech in the IPV ecosystem Invent tools that combat or reduce IPV
Map out the (complex) role of tech in IPV (social, legal, physical) Create new threat models Develop a taxonomy to characterize tech-enabled abuse Technical tools to detect spyware
Cornell Tech
nixdell@cornell.edu www.nixdell.com