- Microsoft + MOPD: Startups Designing for Inclusion
Please join Microsoft for an inclusive-by-design workshop where tips and tricks will help you make your products/services accessible for 1 in 5 Americans with a disability. Led by Microsoft’s Accessibility Evangelist, Dr. Megan Lawrence and NYC's Mayor’s Office for People with Disabilities (MOPD), the workshop includes putting accessibility at the heart of inclusive design, increasing your marketshare and being recognized by the City of New York at the Mayor’s Annual ADA Sapolin Awards due to your innovation and leadership in accessible technology. This event is also in partnership with the Hub at Grand Central Tech, Civ:Lab and Smart Cities New York. About the Mayor's Office of People with Disabilities The Mayor's Office for People with Disabilities (MOPD), in operation since 1972, works to ensure that New Yorkers with disabilities can lead happy, healthy and productive lives. The MOPD staff work hand-in-hand with other City offices and over 50 agencies to ensure that the voice of the disabled community is represented and that City programs and policies address the needs of people with disabilities. The Office provides information on accessible programs, accessible transportation, employment, health services, activities and other resources to the nearly one million New Yorkers with disabilities and the 6.8 million people with disabilities visiting New York City every year. In addition, the Mayor's Office for People with Disabilities works with organizations on specific issues affecting people with disabilities, and aims to bring about dialogue that leads to meaningful outcomes for those living with disabilities. The dedicated staff of the Mayor’s Office for People with Disabilities works hard every day to make New York City the most accessible city in the world. Megan Lawrence PhD - Microsoft Accessibility Technical Evangelist Megan Lawrence is an Accessibility Technical Evangelist at Microsoft. She builds trusted relationships with customers, NGOs, and Assistive Technology partners to further Microsoft’s mission of empowering every person and organization to achieve more. This effort is approached through three principles; transparency, accountability, and inclusivity. She works with internal Microsoft teams to improve accessibility and usability of products and services by increasing the quality and quantity of feedback we get from users with disabilities. Dr. Lawrence has worked with the disability community for over 13 years conducting user research to not only provide accessibility solutions but to ensure that users with disabilities are an integrated part of the design, development, and testing process. Throughout her career, she brings together the disability community and key stakeholders to provide a feedback loop to make products and services accessible to the greatest number people possible.
- Roads of the future: robots & machine vision for street care
RoadBotics Dr. Ben Schmidt This session will discuss how machine learning is being combined to facilitate a new type of proactive, instead of reactive, community engagement by municipal mangers and citizens. Utilizing fleets of roving, cheap, ubiquitous sensors, the future of the smart city will come radically into focus. We will discuss some of the RoadBotics progress towards commercializing and engaging with municipal governments to better understand their road and signage infrastructure and how that is changing the way governments approach planning and action. RoadBotics Bio: RoadBotics provides engineers and pavement managers with an unprecedented means to monitor, identify and manage roadway surface problems and anomalies automatically and inexpensively. We have changed the cost/benefit ratio of monitoring roadways to a degree that regular, nearly continuous and precise monitoring is now readily affordable and feasible for everyone. This is done through the combination of RoadWay, our road data visualization platform, and RoadBot, our data collection service. RoadWay is our AI-driven and cloud-based platform for assessing and visualizing your roadways that can be accessed from anywhere, anytime to provide unprecedented transparency and detail on the status of your roads. The base Roadway Insights platform allows customers to view road data for their community which has been uploaded to the RoadBotics cloud by RoadBot. Customers usually have a RoadWay Pavement Assessment included, in which our proprietary machine-learning algorithms assesses each individual 3 meter segment of pavement and show these scores at their corresponding location (pictured above). We also offer RoadWay Object Geolocation, by which customers can choose to have various road-related objects (e.g. stop signs, fire hydrants) identified and geolocated, also automatically. The RoadWay platform is powered by high-definition video data covering the roads of interest for our customer. At the moment, RoadWay is only compatible with data provided by RoadBot either in its full-service form, or its fleet-provision form. Dr. Ben Schmidt Bio Dr. Ben Schmidt is passionate about using technology to solve real world challenges. Ben has been involved in everything from front-end web technologies to server and cloud infrastructures to real time big data analytics in a diverse array of application fields. Prior to Roadbotics, Ben was Chief Technology Officer of kWantera (https://kwantera.com/), a Pittsburgh-based venture backed startup that focuses on energy market forecasting and analytics. After moving from data scientist to CTO, he led the team on the technical due diligence that landed General Electric as a venture capital investor and subsequently scaled the team and the architecture to be able to compute thousands of pricing forecasts seamlessly on a cloud infrastructure and deliver them on a web-based platform to energy customers. Ben started his career with nearly a decade of work in bioengineering applying an array of advanced image and signal processing techniques. This was initially applied to stem cell therapies (http://www.emeraldinsight.com/doi/abs/10.1108/01439910810854601) and then transitioned to non-invasive brain imaging (http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3294084/) and network characterization (http://journal.frontiersin.org/article/10.3389/fnins.2014.00141/full) and prediction while he was pursuing a PhD in Bioengineering at the University of Pittsburgh. Today Ben leads the team at RoadBotics that is applying the latest advances in deep learning to road infrastructure monitoring and maintenance. Along with his team of software engineers, product specialists and data scientists they are changing the way people manage their roads.
- Neighborhoods by Design: data driven mapping
LIC is experiencing an unprecedented neighborhood transformation. On the surface, there is no doubting this, given the ubiquitous construction taking place across the city, but it’s less clear what that big change will ultimately be; what it will mean for the neighborhood and New York City in general. To understand how this transformation will affect LIC and how the changes will impact the city as a whole, analysts and decision makers need access to accurate on-the-ground insight about the area and ways to track and analyze local data. Citiesense works with Business Improvement Districts across New York City to help local communities drive decision making from the ground up with local insight about a neighborhood. Join us for a deep dive into the local data about how Long Island City is changing and how the data can create insight about the possible future for LIC and New York in general. Data-Driven Maps to Guide Neighborhood Development. Citiesense provides a knowledge management platform for neighborhood communities. The platform enables neighborhoods to create data-driven maps and dashboards that help real estate professionals, local stakeholders, and leaders of neighborhood Business Improvement Districts (BIDs) make smarter development decisions for their communities. These features organize the most accurate information about neighborhoods in cities -- such as storefront vacancy, sales, foot traffic, and more -- to better inform local market demand and neighborhood dynamics. Create your free account at citiesense.com (http://citiesense.com/) to keep track of areas that matter to you in your city. Star Childs, CEO, Citiesense Star Childs is the CEO and a co-founder of Citiesense, a technology company creating a map-based Neighborhood Knowledge Platform™ to provide the real estate industry with fresh data about neighborhoods in cities. Star has over 8 years of experience in the economic development industry as a landscape architect, urban designer and geographic information systems (GIS) expert. His understanding of the city building process as a designer, technologist, and consultant enables Star to consider the needs of the real estate industry at large and apply this understanding to focused products and solutions for the many groups involved. Star earned his Masters in Environmental Management from Yale University and his Bachelors of Science in Landscape Architecture from Cornell University. Star also rowed crew throughout high school and college and he loves getting back in a boat whenever he has the opportunity. Carl Cornilsen,COO, Citiesense Carl Cornilsen is the COO and a co-founder of Citiesense, a technology company creating a map-based platform to organize neighborhood-scale development in cities. With 10+ years experience in the real estate, design and building industry, spanning real estate development, investment, and project design, Carl is focused on place-making and urban growth strategies. Carl holds MBA & Master of Architecture degrees from Yale University and a Bachelors of Science in Architecture from the University of Michigan. Carl loves to ski, mountain bike and explore cities and all eras of architecture. Volkan Unsal, CTO, Citiesense Volkan Unsal is the CTO and a co-founder of Citiesense, a technology company creating a map-based platform to organize neighborhood-scale development cities. Volkan’s diverse background as a technologist and software engineer spans over 8 years of experience in digital marketing and 5+ years working with technology startups. Volkan brings a proven track record of implementing practical software solutions across a variety of industries. Volkan's list of accolades includes Best UX 2014 in CodeAcrossNYC, first place in the 2013 BigApps CleanTech Hackathon, and first place for Startup Weekend 3 years in a row from 2011 to 2013.
- SMART CITIES NYC '17 for Meetup Members
SMART CITIES NYC ‘17 is the first conference and expo that curates the intersection of technology and urban life. Coming to you from iconic public spaces across New York City and the revitalized canvas of the Brooklyn Navy Yard, this unprecedented event features three engagement platforms, world-renowned speakers, and a multitude of public events. Your ideas and innovations will reach an audience of millions during our four-day event from May 3-6, 2017. As we are the same organizers as Urban Data NYC, for members we would like to provide you opportunities to volunteer or discounted tickets. Please email [masked] Please see SmartCities.NYC (http://smartcitiesnyc.com)for the site and general registration - by registering to the Meetup, you are NOT registered for the conference
- Warm Bodies: Using Data to Measure Room Level Occupancy
Join us for a discussion on measuring room-level occupancy using temperature and CO2 data to better control building operations. buildsense.io (http://www.buildsense.io), a startup in Urban-X (https://urban-x.com/)’s cohort 2, is developing machine learning software that analyzes data from building HVAC automation systems already installed in office buildings to measure occupancy in any room, in real-time. No sensors to install means 10x lower costs to deploy than the next cheapest occupancy measurement solution. Understanding how many people are in a room in real-time enables responsive ventilation to improve indoor air quality for occupants and drive energy savings between 10% and 20%. Designers, property managers and owners get a high resolution view of how spaces are being used over time, without compromising occupant privacy. We will talk about some of the challenges inherent in parsing human presence from these existing environment sensors and hope to engage in an interactive discussion. Bio: Gabriel Peschiera has been working with buildings for the past seven years, first as a consultant focused on energy efficiency retrofits and operational improvements, then as Director of Energy Engineering for Ecorithm where he worked on algorithms to turn HVAC data into actionable insights to make buildings more comfortable for occupants and more energy efficient. Gabriel is a licensed Professional Mechanical Engineer, and holds a B.A. in Architecture as well as a B.S. and M.S. in Civil Engineering from Columbia University, where he led research on energy use behavior in buildings.
- Deluged.org: A Human Perspective on Sea Level Rise
Sea level rise is conventionally visualized from above on flood maps, but people live their lives upright and don't normally see the world from a bird’s eye view lacks. The Deluged project seeks to help remedy that by providing a more human-scaled approach to understanding rising sea levels. Deluged.org (http://deluged.org/) started with a data visualization of hurricane Sandy flood levels and projected sea level rise as lines on vertical surfaces in Google Streetview. In 2013, a real life installation of the project was realized at the one year remembrance of hurricane Sandy at Pioneer Works in Red Hook, Brooklyn, which is an at risk area because of its low elevation. This talk will cover the data that was used to create the initial visualization and explore possible ways for expanding and improving this project to optimize its impact. Klaar De Schepper Bio:Klaar De Schepper originally hails from The Netherlands, where sea level rise is a real and urgent threat for most parts of the country. Klaar has conducted information management research at IBM and the Columbia University Libraries. For the past 6 years, Klaar became a black belt utility bill data specialist as she implemented data feeds with data for millions of bills from thousands of utility companies across the country. This data was used in EnergyScoreCards, a web application that helps organizations manage energy and water consumption in apartment buildings. She is an active contributor to the efforts of Mission:data, which works with utility commissions around the country to give customers and their chosen third parties access to machine readable utility data. The Deluged project was Klaar's first data visualization that turned into a public art installation. Klaar holds a Bachelor of Science in Interdisciplinary Science and Sustainable Development from Columbia University.
- Agents of Mutation: The Evolution and Growth of Urban Innovation w/MIT DesignX
Agents of Mutation: The Evolution and Growth of Urban Innovation We live in an era of urban challenges. Transportation systems fraught with inefficiencies and emissions; sanitary water crises; food production cost versus sustainability; governance and social justice… urban imperatives rise as our cities grow larger and more diverse. But a powerful convergence of technology, innovation, and political will is bringing a groundswell of opportunity. The question, then, is twofold: first, how to generate urban innovation? and second, how to integrate that innovation into the archaic cities we have inherited? Answers are diverse, spanning a wide spectrum of stakeholders, actors, creators and consumers – the ‘agents of mutation’ that will shape the evolution and growth of cities. Future craft is a new model for enmeshing designers and the public to co-create cities. DesignX (http://designx.mit.edu/about/) ignites design pedagogy and re-directs innovation toward tangible implementation. Dynamic Policy Architecture implicates districts in a process of symbiotic regulatory and technical experimentation for metropolitan technologies. We are at a crossroads; the future of cities is being cast. Join the debate. Matthew Claudel is a designer, researcher and writer. He studied architecture at Yale, where he received the Sudler Prize – the highest award for creative arts. He has continued to work on applied research in architecture, innovation science, technology and art. He has been published widely, and co-authored two books: Open Source Architecture and The City of Tomorrow. Matthew has taught at MIT and the Politecnico di Torino e Milano, lectured at the Harvard Business school, was featured in the BBC Future series, serves on United Nation’s Digital Technologies for Sustainable Urbanization Network, and is an active protagonist of Hans Ulrich Obrist’s 89plus. Matthew is currently affiliated with the MIT Department of Urban Studies & Planning and the MIT Lab for Innovation Science & Policy as a PhD student, and is a founder of DesignX, a new initiative in the MIT School of Architecture + Planning that accelerates innovation for the built environment.
- From Reservoir to Drain: Analyzing Urban Water Flows w/Harvard School of Design
The Information Tool on Urban Water Systems (http://zofnass.gsd.harvard.edu/water_infotool)was developed at the Zofnass Program for Sustainable Infrastructure at the Harvard Graduate School of Design. The tool is the outcome of research on urban water management cases across US, from East to West Coast. It provides holistic information about the city’s water systems for non-expert stakeholders, such as city managers, policymakers, and the community. The first prototype was built for the City of Chelsea MA. The tool consists of two parts: the first can be summarized as “learn the system” and the second as “improve the system.” Through data visualization and system-based storytelling, the first part provides information about the urban water system, performance data, and geospatial synergies. The second part - through interactive modelling and scenario evaluation - highlights the opportunities to improve the system. Yannis Orfanos is a Research Associate at Harvard Graduate School of Design leading research at the intersection of the urban environment, infrastructure systems, and data analytics. He develops city management and planning tools that enable data-based decision making and can bring together different stakeholders. Prior to Harvard, Yannis has worked within a number of international design practices in London, Barcelona, and Athens, including KPF Associates and Pollalis Inc. where he was the project planner for a new city of 600,000 people in Asia. He holds a Diploma in Architectural Engineering from NTUA, and MArch in Architecture and Urbanism from AA Design Research Lab. Yannis is an Envision Sustainability Professional and Trainer.
- Open Data 2.0: The market place for public and private data w/Hitachi Insights
Peter Bjørn Larsen is the Director of the City Data Exchange for the Hitachi Insight Group and Hitachi Consulting in Copenhagen The City Data Exchange (https://www.citydataexchange.com/) is a marketplace where data suppliers and data consumers from both public and the private sector can buy and sell data. It is a central part of the smart city strategy in Copenhagen. In the past year Peter has spoken to 400 businesses, universities, organizations and cities in order to build up an data ecosystem around our marketplace for data. This has provided himself and Hitachi (https://www.hitachiinsightgroup.com/en-us/smart-cities.html) with a very good insight into why open data portals are failing, the barriers in companies for working with data, and what is needed to make data portals a success. Peter has 15 years’ experience with economic development in cities and has been working with the smart city concept for more than 6 years. He is a regular speaker at major conference and events around the world. Peter has been an involved as smart city advisor for the EU Commission, Danish Ministries, and several European cities and companies.
- Will 311 Respond to Your Call? Investigating Geographic Response Rates
Government data can often reveal surprising insights about the way communities are served. In this project, built only using open data such as weather history, census data and New York’s 311 call data, we are trying to determine wether some parts of the city were served faster than others. Then we built a model to predict - at the time of the call - if the response to it will end up late or not. The journey from the data collection to the predictive application will cover all the different steps of a data project such as data preparation or feature engineering. Several approaches to visualize the data will also be explored. A special focus will be on how to make different technologies (SQL, python, R) work together to get the best of all worlds. Speaker: Maxime Mouchet