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Bring On the Boroughs!
Bob Lieber is Deputy Mayor for Economic Development. In February 2007, Lieber was named President of the New York City Economic Development Corporation (NYCEDC) and became Deputy Mayor in January 2008. Responsible for creating jobs and building capacity in the five boroughs, Lieber guides agencies including NYCEDC, Department of Small Business Services, Department of City Planning, Department of Finance, NYC & Company among others. He oversees job-creating area-wide redevelopment projects that include Willets Point, Lower Manhattan, Hudson Yards, 125th Street, Jamaica, and Coney Island. He also spearheads the effort to support a more vibrant and diverse City economy by growing varied sectors including tourism, media, bioscience, fashion, maritime support, film, and television. Lieber previously served as Managing Director at Lehman Brothers, where he was Global Head of Real Estate Investment Banking as well as a member of the Real Estate Private Equity business. In 1999, and again in 2003, Lieber was recognized by Institutional Investor Magazine for "Deal of The Year," and he was named "Financier of the Year" in 2005 by Commercial Property News. Lieber holds a BA from the University of Colorado and a Masters of Business Administration from The Wharton School at the University of Pennsylvania. He is Vice Chairman of the Zell-Lurie Real Estate Center at the Wharton School, and Trustee of the Urban Land Institute.
Question: What other U.S. cities can we learn from?
Bob Lieber: I've always loved San Francisco. I've looked at San Francisco and Denver both as cities if I ever left New York, where would I go? Those are great cities. It's interesting, though: when you go there, particularly San Francisco, and you see what's going on in California today, there are a lot of people in California and in San Francisco who want to get out of there because the quality of life and the costs of operating and living there have gotten so extraordinary. I mean, we -- the budget deficit and what's going on there is obvious.
We can learn things from San Francisco as well. I mean, looking at what San Francisco has done around the water, for example, and how they use ferries, and after the tragedy of the 1989 earthquake, when the Embarcadero freeway came down, and how that's reopened up all the waterfront and reconnected the people in the city to the waterfront and how they use the ferry service to Tiburon and the East Bay, et cetera, I think are all great examples. It's a spectacular city and a place I'd -- if I were going to move, that would be certainly one of the ones I'd consider.
Question: Why Denver?
Bob Lieber: Mountains. The Rocky Mountains and the natural component of that, the skiing, the things you can do in the summer, it's just -- it's a great place. And I went to college there. It's just the diversity of the economy in Denver is not what it is in New York, obviously, or even what it is in San Francisco. But it's a great city. It's a great place; great people. So another great place. There are lots of great cities in the country. I grew up in L.A. It probably doesn't register quite as high to me today as it did, but -- no, they're are great places.
Question: What’s your favorite spot in New York City?
Bob Lieber: I guess my favorite spot is Central Park. There's so much going on there all the time. It's such a kind of a melting pot of all different people. There's always stuff that's happening. I live nearby, so it's easy to get there. But to think about what Central Park was like back in the '70s and '80s, it was not a hospitable place. It's not the place you wanted to go. You'd never go in there when it was dark. But now it's terrific, and I think what the public sector's done, what the private sector's done, with the Central Park Conservancy and other parts to really energize and program it, it's just a spectacular resource for New York City, and there's so many different things to do. I run through there, not every day but often, and -- probably a bit of a creature of habit -- but every time I run through there, there's still new stuff that I haven't seen or haven't noticed before, and I just think it's a great asset for what we have in the city.
Question: What’s the next up-and-coming area of the city?
Bob Lieber: Well, I think that when you think about the opportunities in the future -- I don't know what you want to define as a hot area per se -- but I think when we look at the areas where we're going to see growth, I think it's not going to be in midtown Manhattan. There's already enough going on here. Other than what's going on the future in Hudson Yards, I think other really hot areas are Brooklyn, Greenpoint-Williamsburg, Long Island City. I think both of those areas have seen a lot of investment and a lot of activity, and I really think they're poised for significant growth going forward. It's the trendy place for people to live. Folks like you want to live there. There's lots of restaurants; there's plenty of things to do. It's priced a little differently than other parts of the city. So I think those are the hot trendy areas here. But I think -- you look at Staten Island; Staten Island's got some really competitive advantages there as well in terms of the land that they have, and it's a more suburban type of an environment, which is I think very attractive to people, to particularly be that proximate to Manhattan.
But the other borough that I think has got tremendous potential -- and we've seen a huge change -- is what's taking place in the Bronx. There's been over $1.5 billion of private investment that's been made there in terms of what the Yankees and the Steinbrenner family did to build the new Yankee Stadium, the world champion Yankees and other things with Gateway Center and other developments, because the Bronx has got -- it's the poorest Congressional district in the country, so there's a lot of things that can take place. We've had huge success there with affordable housing. And I think that the Bronx is also well poised going forward. I don't think it's in the same time frame. It's not exactly the same place where I described Long Island City or downtown Brooklyn, but I think when you look at these different areas, a lot of it's going to be focused around transportation. So you have terrific mass transit access in downtown Brooklyn, you've got terrific mass transit access in Long Island City, you've got great mass transit access up in Harlem on 125th Street, so -- in the Bronx as well. So where you -- I think those hot areas are going to be defined by where the real -- the best transportation networks are. That's where we're trying to concentrate activity for growth going forward in the city.
Recorded on November 20, 2009
With midtown Manhattan at capacity, Bob Lieber is focused on developing other parts of the city. Here’s why he thinks the Bronx is poised for growth.
If machines develop consciousness, or if we manage to give it to them, the human-robot dynamic will forever be different.
- Does AI—and, more specifically, conscious AI—deserve moral rights? In this thought exploration, evolutionary biologist Richard Dawkins, ethics and tech professor Joanna Bryson, philosopher and cognitive scientist Susan Schneider, physicist Max Tegmark, philosopher Peter Singer, and bioethicist Glenn Cohen all weigh in on the question of AI rights.
- Given the grave tragedy of slavery throughout human history, philosophers and technologists must answer this question ahead of technological development to avoid humanity creating a slave class of conscious beings.
- One potential safeguard against that? Regulation. Once we define the context in which AI requires rights, the simplest solution may be to not build that thing.
Duke University researchers might have solved a half-century old problem.
- Duke University researchers created a hydrogel that appears to be as strong and flexible as human cartilage.
- The blend of three polymers provides enough flexibility and durability to mimic the knee.
- The next step is to test this hydrogel in sheep; human use can take at least three years.
Duke researchers have developed the first gel-based synthetic cartilage with the strength of the real thing. A quarter-sized disc of the material can withstand the weight of a 100-pound kettlebell without tearing or losing its shape.
Photo: Feichen Yang.<p>That's the word from a team in the Department of Chemistry and Department of Mechanical Engineering and Materials Science at Duke University. Their <a href="https://onlinelibrary.wiley.com/doi/abs/10.1002/adfm.202003451" target="_blank">new paper</a>, published in the journal,<em> Advanced Functional Materials</em>, details this exciting evolution of this frustrating joint.<br></p><p>Researchers have sought materials strong and versatile enough to repair a knee since at least the seventies. This new hydrogel, comprised of three polymers, might be it. When two of the polymers are stretched, a third keeps the entire structure intact. When pulled 100,000 times, the cartilage held up as well as materials used in bone implants. The team also rubbed the hydrogel against natural cartilage a million times and found it to be as wear-resistant as the real thing. </p><p>The hydrogel has the appearance of Jell-O and is comprised of 60 percent water. Co-author, Feichen Yang, <a href="https://today.duke.edu/2020/06/lab-first-cartilage-mimicking-gel-strong-enough-knees" target="_blank">says</a> this network of polymers is particularly durable: "Only this combination of all three components is both flexible and stiff and therefore strong." </p><p> As with any new material, a lot of testing must be conducted. They don't foresee this hydrogel being implanted into human bodies for at least three years. The next step is to test it out in sheep. </p><p>Still, this is an exciting step forward in the rehabilitation of one of our trickiest joints. Given the potential reward, the wait is worth it. </p><p><span></span>--</p><p><em>Stay in touch with Derek on <a href="http://www.twitter.com/derekberes" target="_blank">Twitter</a>, <a href="https://www.facebook.com/DerekBeresdotcom" target="_blank">Facebook</a> and <a href="https://derekberes.substack.com/" target="_blank">Substack</a>. His next book is</em> "<em>Hero's Dose: The Case For Psychedelics in Ritual and Therapy."</em></p>
What would it be like to experience the 4th dimension?
Physicists have understood at least theoretically, that there may be higher dimensions, besides our normal three. The first clue came in 1905 when Einstein developed his theory of special relativity. Of course, by dimensions we’re talking about length, width, and height. Generally speaking, when we talk about a fourth dimension, it’s considered space-time. But here, physicists mean a spatial dimension beyond the normal three, not a parallel universe, as such dimensions are mistaken for in popular sci-fi shows.
An algorithm may allow doctors to assess PTSD candidates for early intervention after traumatic ER visits.
- 10-15% of people visiting emergency rooms eventually develop symptoms of long-lasting PTSD.
- Early treatment is available but there's been no way to tell who needs it.
- Using clinical data already being collected, machine learning can identify who's at risk.
The psychological scars a traumatic experience can leave behind may have a more profound effect on a person than the original traumatic experience. Long after an acute emergency is resolved, victims of post-traumatic stress disorder (PTSD) continue to suffer its consequences.
In the U.S. some 30 million patients are annually treated in emergency departments (EDs) for a range of traumatic injuries. Add to that urgent admissions to the ED with the onset of COVID-19 symptoms. Health experts predict that some 10 percent to 15 percent of these people will develop long-lasting PTSD within a year of the initial incident. While there are interventions that can help individuals avoid PTSD, there's been no reliable way to identify those most likely to need it.
That may now have changed. A multi-disciplinary team of researchers has developed a method for predicting who is most likely to develop PTSD after a traumatic emergency-room experience. Their study is published in the journal Nature Medicine.
70 data points and machine learning
Image source: Creators Collective/Unsplash
Study lead author Katharina Schultebraucks of Columbia University's Department Vagelos College of Physicians and Surgeons says:
"For many trauma patients, the ED visit is often their sole contact with the health care system. The time immediately after a traumatic injury is a critical window for identifying people at risk for PTSD and arranging appropriate follow-up treatment. The earlier we can treat those at risk, the better the likely outcomes."
The new PTSD test uses machine learning and 70 clinical data points plus a clinical stress-level assessment to develop a PTSD score for an individual that identifies their risk of acquiring the condition.
Among the 70 data points are stress hormone levels, inflammatory signals, high blood pressure, and an anxiety-level assessment. Says Schultebraucks, "We selected measures that are routinely collected in the ED and logged in the electronic medical record, plus answers to a few short questions about the psychological stress response. The idea was to create a tool that would be universally available and would add little burden to ED personnel."
Researchers used data from adult trauma survivors in Atlanta, Georgia (377 individuals) and New York City (221 individuals) to test their system.
Of this cohort, 90 percent of those predicted to be at high risk developed long-lasting PTSD symptoms within a year of the initial traumatic event — just 5 percent of people who never developed PTSD symptoms had been erroneously identified as being at risk.
On the other side of the coin, 29 percent of individuals were 'false negatives," tagged by the algorithm as not being at risk of PTSD, but then developing symptoms.
Image source: Külli Kittus/Unsplash
Schultebraucks looks forward to more testing as the researchers continue to refine their algorithm and to instill confidence in the approach among ED clinicians: "Because previous models for predicting PTSD risk have not been validated in independent samples like our model, they haven't been adopted in clinical practice." She expects that, "Testing and validation of our model in larger samples will be necessary for the algorithm to be ready-to-use in the general population."
"Currently only 7% of level-1 trauma centers routinely screen for PTSD," notes Schultebraucks. "We hope that the algorithm will provide ED clinicians with a rapid, automatic readout that they could use for discharge planning and the prevention of PTSD." She envisions the algorithm being implemented in the future as a feature of electronic medical records.
The researchers also plan to test their algorithm at predicting PTSD in people whose traumatic experiences come in the form of health events such as heart attacks and strokes, as opposed to visits to the emergency department.