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DTSTAMP:20260515T113248
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SUMMARY:Community Partners in Residence (CPR) Program - Orientation and Informal Meet & Greet
DESCRIPTION:On Thursday\, November 2\, 2023\, The NSF Center for Smart StreetScapes (CS3) held its inaugural Community Partners in Residence (CPR) Program workshop. We were excited to welcome our first group of Harlem CPRs to the program. Ester Fuchs\, Chief Social Impact Officer of the CS3 and Professor of International and Public Affairs and Political Science at Columbia University convened the workshop and moderated the discussion. Barbara Askins\, Senior Advisor to the CS3 and President of the 125th Street Business Improvement District opened the conversation with an overview of the role of CPRs at the Center. Barbara invited all CPRs and researchers to introduce themselves and discuss their interests. Sharon Sputz\, Industry Outreach Lead of the CS3 and Executive Director of Strategic Programs at Columbia’s Data Science Institute provided background on the Center and the type of technology it hopes to develop. Other researchers from Columbia and Rutgers briefly described their areas of focus\, which launched a lively discussion with community members and CS3 leadership. Lynda Hamilton\, the CPR Community Engagement Manager organized the workshop and has been working closely with community partners to ensure that the CPR program has effective community representation. \nThe Community Partners in Residence program is critical to the success of the Center’s work\, ensuring that research on solving streetscape problems is developed in partnership with the Harlem community. The workshops provide opportunities for interaction and collaboration\, where researchers will share their ideas for improving the quality of life on the streetscape and CPR’s will learn about transformative technology. The program is designed for continuous feedback\, so that CPRs will play an integrated and continuous role in determining what research gets done and whether research is transformed into practical applications to pilot at the streetscape. CPRs were recruited from community organization partners and are leaders in Harlem\, all are active in Harlem civic life\, and interested in technology as well as the various community needs that technology can address. \nCPR workshops will meet twice a month through mid-May 2024. It is the convergence between research\, community engagement\, and social impact that will ensure that all technological applications developed by researchers will adequately reflect and respond to the stated needs of\nHarlem residents. \nCPR workshops are invite-only. If you are interested in attending a workshop or learning more about CS3’s community engagement process\, please contact our team at streetscapes@columbia.edu.
URL:https://cs3-erc.org/event/community-partners-in-residence-program-orientation-and-informal-meet-greet/
LOCATION:Harlem\, NY\, United States
CATEGORIES:Community
ATTACH;FMTTYPE=image/jpeg:https://cs3-erc.org/wp-content/uploads/2024/11/PXL_20231102_224800406-1.jpg
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DTSTART;TZID=UTC:20231116T100000
DTEND;TZID=UTC:20231116T110000
DTSTAMP:20260515T113248
CREATED:20231019T205404Z
LAST-MODIFIED:20241126T213914Z
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SUMMARY:Panel Discussion: Scaling and Piloting Frontier Tech
DESCRIPTION:  \n\nView Event Recording \nTopic: The New York City Office of Technology and Innovation (OTI) has launched the Smart City Testbed Program to streamline and accelerate the citywide process for piloting emerging technologies in New York City. To find more information and to apply\, visit the Smart City Testbed website: nyc.gov/testbed \nModerator: Paul Rothman from NYC OTI  \nPanelists:  \n\nAndrew Smyth from the Center for Smart Streetscapes (CS3)\nJenny Tromski from the Brooklyn Navy Yard Development Corporation\nJohn Petinos from the New York City Economic Development Corporation (NYCEDC)\nLauren Wang from the Trust for Governors Island
URL:https://cs3-erc.org/event/testbeds-scaling-and-piloting-frontier-tech/
LOCATION:Center for Smart Streetscapes\, 2276 12th Ave\, New York\, NY\, 10027\, United States
CATEGORIES:Public Sector
ATTACH;FMTTYPE=image/png:https://cs3-erc.org/wp-content/uploads/2023/10/Testbed-Panel-Flyer-Small-1.png
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DTSTART;TZID=America/New_York:20231117T120000
DTEND;TZID=America/New_York:20231117T130000
DTSTAMP:20260515T113248
CREATED:20241210T232729Z
LAST-MODIFIED:20241210T232729Z
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SUMMARY:CS3 Monthly Research Exchange
DESCRIPTION:At each CS3 Monthly Research Exchange\, three faculty and student researchers in the field of smart urban planning will take the stage to share their latest findings\, breakthroughs\, and urban projects. \nAriana Galindo\, Undergraduate Student at Florida Atlantic University \n\nPresentation Abstract: This project investigates the development of scalable data processing tools for large-scale spatiotemporal data.\n\nDimitris A. Pados\, Professor and I-SENSE Fellow at Florida Atlantic University \n\nPresentation Abstract: We examine the problem of dynamically optimizing arbitrary multiple-input multiple-output (MIMO) wireless waveforms in potentially heavily utilized frequency bands with applications to near-field (or far-field) autonomous machine-to-machine communications. We look at the problem from the point of view of spectrum sharing and autonomous interference avoidance. In this context\, we seek the transmitter beam weight vector and the pulse code sequence that maximize the signal-to-interference-plus-noise ratio (SINR) at the output of the maximum SINR joint space-time receiver filter. We derive two novel model-based solutions: (a) Disjoint\, space first (transmit weight vector) then time (pulse code sequence) waveform optimization and (b) jointly optimal transmit weight vector and pulse code sequence optimization (a mixed integer programming problem.) The proposed formally derived algorithmic solutions are studied in extensive simulations under varying waveform code length\, near-field/far-field and spread-spectrum/non-spread-spectrum interference\, in light and dense interference scenarios. The findings highlight (a) the effectiveness of the described methods compared to static conventionally designed optimal-receiver MIMO links and (b) the remarkable ability of the joint space-time optimized waveforms to avoid heavy interference.\n\nNavid Salami Pargoo\, Ph.D. Student at Rutgers University \n\nPresentation Abstract: In this talk\, join me on a journey into transformative assistive technologies for the visually impaired\, crafting a synergy between interactive AI agents and the smart streetscape. Discover our innovative strides in machine learning\, deep learning\, computer vision\, and sensing\, forming the heartbeat of this human-centric AI agent. I will show how they harmoniously integrate into streetscapes\, enhancing safety\, inclusivity\, and enriched urban interactions.\n\nThe CS3 Monthly Research Exchanges are internal and open only to CS3 affiliated students\, faculty\, and staff. If you are interested in learning more about the research happening at CS3\, please contact our team at streetscapes@columbia.edu.
URL:https://cs3-erc.org/event/cs3-monthly-research-exchange-4/
LOCATION:Hybrid
CATEGORIES:SLC
ATTACH;FMTTYPE=image/png:https://cs3-erc.org/wp-content/uploads/2024/12/11.17.23-CS3-Monthly-Research-Exchange.png
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