“Do you want a horrible ballot, or do you just want a terrible ballot, I guess is what you’re asking me,” Rubin replied to Barlas. “I would say, let’s go for a fair ballot.”
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In the News
NJ’s ballot design: What’s fair for all?
“Anything that’s not a clean ballot in terms of just a list of candidates in an office block style — nothing differentiating them — is not ideal,” said Julia Sass Rubin, a Rutgers associate professor who has done extensive research on the ballot design’s impact.
Members of the public chime in on lawmakers’ push to redesign ballots
“I think it’s still a very unfair ballot,” Rubin said. “I would say let’s go for a fair ballot.”
NJ Commute Relief May Hinge on US Election With Funds in Limbo
“The ball is really in Amtrak’s court,” said Michael Smart, associate professor of urban planning at the Edward J. Bloustein School of Planning and Public Policy at Rutgers University.
Tech Updates: Essential Technology Budgeting
Without a usable plan, you can’t manage your agency’s technology needs, resources, and risks. How you develop this plan depends on your specific circumstances, but it should balance spending, available time and effort, and competing priorities.
Rent-control measure’s changes to SF clear, but its effects aren’t
“Things like rent control are mainly going to redistribute profits from builders and existing landlords to tenants,” said Paul, who called San Francisco’s own measure a “common-sense approach” for boosting housing affordability.
Stamato Op-Ed: Immigrants can revive cities and towns across America
“New Jersey will benefit from a portion of what the Congressional Budget Office projects immigrants will contribute to the U.S. gross domestic product over the next decade — $8.9 trillion.”
Innovative Summer Climate Data and Literacy Workshop
Teachers learned about local climate change data, conditions and impacts and explored NJ ADAPT digital tools, with Rutgers experts Dr. Marjorie Kaplan of the Rutgers Climate and Energy Institute and NJ Climate Change Resource Center, and Lucas Marxen and Dr. James Shope of the New Jersey Climate Change Resource Center.
Age Bias and Algorithms Are Keeping Older Workers Out Of The Workforce
Public policy expert Carl Van Horn of Rutgers University highlights a big issue: automated tracking systems and hiring algorithms often work against older candidates.
Researchers Deploy Technology to Find High-Risk HIV Populations
“We use big data, including GPS, survey, network data, to identify optimal sets of venues for HIV prevention,” Chen told Medscape Medical News. Venue-based affiliation networks could help identify areas to reach the priority population or connect many other venues frequented by the priority population, she said.