Open Data Week Events (2017–Present)

Understanding the Urban Forest in New York City through Open Data

<span data-contrast="none">The Nature Conservancy in New York’s Cities Program recently released </span><a href="https://www.nature.org/content/dam/tnc/nature/en/photos/TheStateoftheNYCUrbanForest.pdf"><i><span data-contrast="none">The State of the Urban Forest in New York City</span></i></a><span data-contrast="none">, a report that provides a holistic, point-in-time understanding of the urban forest citywide. The report built primarily on a wealth of Open Data and published research to characterize trees and their canopy across NYC, and the physical and social infrastructure that support them, across public and private property. </span><span data-ccp-props="{}"> </span>

<span data-contrast="none">In this Open Data Week event, we will highlight key findings of </span><i><span data-contrast="none">The State of the Urban Forest in New York City</span></i><span data-contrast="none">, showcase summary datasets released with the report, and discuss some of the Open Data used in this work. This event will consist of a presentation followed by a short workshop. </span>

<b><span data-contrast="none">Participants!! Please answer <a href="https://forms.office.com/r/pe08JvA3cZ">these questions</a> to help us better design the event to participant interests. </span></b><span data-ccp-props="{}"> </span>

While we plan to adapt specifics of this event to participant interests, the general format will be as follows (with a 15-minute break between the presentation and the workshop): <span data-contrast="none"> </span><span data-ccp-props="{}"> </span>

<span data-contrast="none">A presentation (~1 hour total including Q&amp;A) in which we: </span><span data-ccp-props="{&quot;134233279&quot;:true,&quot;469777462&quot;:[720],&quot;469777927&quot;:[0],&quot;469777928&quot;:[1]}"> </span>
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<li data-leveltext="" data-font="Symbol" data-listid="2" data-aria-posinset="1" data-aria-level="1"><span data-contrast="none">Highlight key findings from </span><i><span data-contrast="none">The State of the Urban Forest in New York City</span></i><span data-contrast="none">, including aspects of the distribution of the urban forest across the city and changes through time, benefits it offers, equity of the resource, public funding, policy, and social dimensions related to it. </span><span data-ccp-props="{&quot;134233279&quot;:true,&quot;469777462&quot;:[720],&quot;469777927&quot;:[0],&quot;469777928&quot;:[1]}"> </span></li>
<li data-leveltext="" data-font="Symbol" data-listid="2" data-aria-posinset="2" data-aria-level="1"><span data-contrast="none">Review publicly available datasets and key research that we were able to build on in developing the report and understanding various aspects of the urban forest in New York City. </span><span data-ccp-props="{&quot;134233279&quot;:true,&quot;469777462&quot;:[720],&quot;469777927&quot;:[0],&quot;469777928&quot;:[1]}"> </span></li>
<li data-leveltext="" data-font="Symbol" data-listid="2" data-aria-posinset="3" data-aria-level="1"><span data-contrast="none">Discuss summary datasets from the report that are now publicly available to be used by others (datasets available at </span><a href="https://protect-us.mimecast.com/s/b74SCM8KXjIYxXoBiW0m-E?domain=zenodo.org"><span data-contrast="none">https://zenodo.org/record/5210261</span></a><span data-contrast="none">). These datasets include information about tree canopy, land area, and street trees aggregated by multiple geographic units, as well as information about land use, canopy in natural areas, and socioeconomic metrics. </span></li>
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A workshop (1 hr 15 minutes) in which we walk through some of the specific datasets we used or released as part of the work. Some of the content will be adjusted based on participant interests expressed, though we’ll generally include the following:
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<li data-leveltext="" data-font="Symbol" data-listid="2" data-aria-posinset="1" data-aria-level="1">Showcase of a new Storymap developed by the NYC Parks to visualize urban forestry data (presented by NYC Parks staff)</li>
<li data-leveltext="" data-font="Symbol" data-listid="2" data-aria-posinset="2" data-aria-level="1">Where or how to find datasets related to the NYC urban forest</li>
<li data-leveltext="" data-font="Symbol" data-listid="2" data-aria-posinset="3" data-aria-level="1">Walk-through of datasets as spreadsheets (e.g., in Microsoft Excel) or in GIS</li>
<li data-leveltext="" data-font="Symbol" data-listid="2" data-aria-posinset="3" data-aria-level="1">Discussion of key nuances and intricacies users should be aware of</li>
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Material will be presented by Michael Treglia, Alaina Van Slooten, and Natalia Piland of the Cities Program with The Nature Conservancy in New York, and Fiona Watt, Uma  Bhandaram, and Kurt Cederholm of the NYC Parks Division of Forestry, Horticulture, and Natural Resources.</li>
</ul>

The Nature Conservancy

2022

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Barnard CSC x Cyber Collective on the Ethical Use of Public Data

<span style="font-weight: 400;">While we celebrate public data and its use for good, we also acknowledge that some use cases of public data can have harmful, unintended consequences. For example, someone can socially engineer, reverse engineer, or develop narratives about neighborhoods or communities that create inferences around sets of data that aren’t accurate or representative. The goal of this panel and workshop is to arm attendees with sets of questions and knowledge to ask themselves when working with public data sets.  As part of NYC Open Data Week, this event brings together members from the Barnard College </span><a href="http://www.csc.barnard.edu/"><span style="font-weight: 400;">Computational Science Center (CSC)</span></a><span style="font-weight: 400;"> and </span><a href="https://www.cybercollective.org/"><span style="font-weight: 400;">Cyber Collective</span></a><span style="font-weight: 400;"> to think through the ethics of using public data. We will begin with a panel discussion dedicated to understanding: 1) language and how data are categorized and described and 2) using deductive reasoning to identify unintended consequences when using publicly available data. The second half of the session will be dedicated to guiding participants through a dataset on </span><a href="https://opendata.cityofnewyork.us/"><span style="font-weight: 400;">NYC Open Data</span></a><span style="font-weight: 400;"> and co-creating a set of questions rooted in principles of racial justice and ethics, which people can ask themselves when sifting through public data. </span>

Vagelos Computational Science Center (CSC) at Barnard College, Cyber Collective, Columbia University

2022

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Analyzing Public Comments 101: A Workshop for Public Sector Leaders

<span style="font-weight: 400;">Public comments and feedback are critical to gather to inform policy, however there is no best practice for how to transform "public comments as a dataset" into insights.</span>

<span style="font-weight: 400;">co:census specializes in this work and we are hosting this workshop to support agencies in understanding methods to harness to voice of a community in order to transform their feedback to insights. </span>

<span style="font-weight: 400;">For Open Data Week, we will collaborate with public sector leaders in a small group workshop to uncover methods on how to transform NYC Open Data from Community Boards to insights for policy recommendations.</span>

<span style="font-weight: 400;">This event will be ideal for Communications Managers, Public Affairs or Public Information Leaders, and Directors of Outreach &amp; Community Initiatives. </span>

Seam Social Labs

2022

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Recommending Schools using NYC Open Data on School Quality

As a parent of a child in the application process for Kindergarten admissions in New York City, I found myself researching school quality surveys to evaluate and compare schools in order to rank school choices. Inspired by the vast amount of school quality <span class="il">data</span> on NYC <span class="il">Open</span> <span class="il">Data</span>, I developed a recommendation system using machine learning models to select schools.

The <span class="il">data</span> tool starts with the <span class="il">data</span> acquisition from NYC <span class="il">Open</span> <span class="il">Data</span> using the <span class="il">Open</span> <span class="il">Data</span> API, then proceeds to <span class="il">data</span> processing to create the relevant features for the model. Using collaborative filtering, with individual schools and individual attributes, and the application of unsupervised machine learning models, I identify schools which are similar to each other and can be recommended potentially to applicants in the school admissions process. I will also discuss some potential drawbacks to this approach to school ranking recommendation and how other sources of information should support applicants' school ranking decisions.

Please find presentation slides for this event <a href="https://docs.google.com/presentation/d/12zYczNxI25qfSUafN2HuiDc_MY8uXFLMdhumzGZb4t0/edit#slide=id.g118eaa81382_0_12">here</a>:

Daniel Alvarez, UNICEF, Workday

2022

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Contextualizing NYC Community Districts: Fusing 311 complaints and community board meetings to identify community challenges

<span style="font-weight: 400;"><a href="https://blockparty.studio/">Block Party</a>  is a platform to explore local policy information, our mission is to make community engagement more accessible and byte-sized. By creating a publicly searchable archive of NYC community board meeting full transcript, highlights and topics. The initiative started in April 2020 as virtual meetings became ubiquitous and community boards adapted by digitizing their meeting recordings on YouTube.</span>

<span style="font-weight: 400;">This presentation will showcase how the data that is created by Block Party's transcript engine can be connected with other sources of public engagement such as New York City 311 service requests. We will contextualize how the two datasets can help inform different perspectives of community challenges, needs, and activities. A comparison between the topics voiced by 311 service requests might relate to what is discussed in community board meetings.</span>

Presented by

Sarah Sachs, Data Scientist

Brandon Pachuca, Urban Data Scientist + Web Developer

Brandon Pachuca + Sarah Sachs, Block Party

2022

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Measuring Equity using Open Data: Building Evidence Based Policy and Reparation Advocacy

Learn how NYC Open Data can help community advocates, capital providers, and policymakers quantify the harmful impact of historical redlining by banks and other private-sector financial services companies.

A detailed case study will highlight how open data cross-pollinates local reparations initiatives include Evanston, IL where open data is a critical input to building a groundbreaking reparations program.

The session will include a ‘get started’ action plan, best practices and other resources for anyone interested in housing, educational, environmental and healthcare reparations work in jurisdictions around the country.

<strong>Presentation Moderator:</strong>

David Scatterday, Managing Director, Scatterday &amp; Associates

<strong>Presenters:</strong>
<ul>
<li>Enith Williams
Executive Director, Reparations Finance Lab</li>
<li>Robin Rue Simmons
Founder, First Repair</li>
<li>Linda J. Mann
Adjunct Associate Professor, Columbia University, School of International &amp; Public Affairs</li>
</ul>

Scatterday & Associates, Reparations Finance Lab

2022

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It Will Rain Again: Data Needs and Opportunities in a Post-Ida New York City

<span style="font-weight: 400;">With the summer of 2021 still fresh in many people's minds, NYC’s practitioners and researchers are still navigating the challenges of extreme rain events like Hurricane Ida, which brought record-shattering amounts of rainfall causing severe flooding, loss of life, and damages to property/infrastructure. Shortly before Ida, the City released its first-ever <a href="https://www1.nyc.gov/assets/orr/pdf/publications/stormwater-resiliency-plan.pdf">Stormwater Resiliency Plan</a>. With the plan, pluvial (rainfall) flood risk maps were made publicly available, filling a critical data gap. However, other types of data that are still missing may be needed to support urban resilience against flash flooding such as social media, on-site sensor networks, and other crowdsourcing tools to allow communities to report their own experiences and advocate for new interventions. The use of new data types also surface new questions regarding their potential benefits and challenges. This event will convene a conversation between researchers and practitioners concerning the challenges, needs, and opportunities presented by novel data sourcing, processing, and visualization techniques to advance urban climate resilience. </span>

Participants include:

<b>Annie Carforo</b><span style="font-weight: 400;"> is the Climate Justice Organizer at WE ACT for Environmental Justice. She is responsible for engaging WE ACT members and residents of Northern Manhattan in the organization’s climate policy initiatives. Prior to joining WE ACT, Annie organized alongside New Yorkers experiencing homelessness on City and State legislation designed to improve access to high quality affordable housing. All of Annie’s organizing and policy experience is grounded in community led activism. She holds a Bachelor’s of Science degree in Human and Organizational Development with a focus on Community Development from Vanderbilt University and is currently pursuing a Master of Urban Planning degree at Hunter College with a focus on equity and sustainability in city planning.</span>

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<b>Katie Graziano</b><span style="font-weight: 400;"> is the New York Sea Grant (NYSG) Coastal Resilience Extension Specialist based at the Institute. Her work focuses on shoreline management in New York City and State, community flood resilience, and building shared knowledge about Jamaica Bay. Prior to joining the Institute, she worked in the Commonwealth of the Northern Mariana Islands, the Philippines, Washington State and Rhode Island, doing coastal watershed research, management and restoration. She holds a B.A. in Natural Resources from Cornell University and a Masters in Marine and Environmental Affairs from the University of Washington. Katie co-leads the NYC Community Flood Watch Project, which engages residents, scientists and decision makers in documenting tidal flooding, sharing knowledge and building resilience. </span>

<b>Pablo Herreros Cantis</b><span style="font-weight: 400;"> is a Research Fellow at the Urban Systems Lab, The New School. He studied environmental engineering at the Polytechnic University of Madrid, Spain, where he specialized in environmental impact assessment. Interested in using his knowledge of Geographic Information Systems and ecology for the benefit of society, he moved to Wageningen University in the Netherlands to complete an MSc in urban environmental management. He is now applying socio-ecological analysis to urban ecosystem services and environmental risks, with special focus on their spatial attributes and their links to social justice. He aims to provide policymakers with evidence-based information for spatial planning and design.</span>

<b>Maddalena Romano</b><span style="font-weight: 400;"> is the Director of the Data/Asset Management Unit at New York City Department of Transportation NYC DOT.  This unit, part of the Performance and Asset Management Unit in the Commissioner’s Office, uses data engineering to transform data into information for decision makers at NYC DOT.  She is one of the NYC DOT liaisons to the FloodNet project.  </span>

<b>Andrea Silverman</b><span style="font-weight: 400;"> is an Assistant Professor of Environmental Engineering at the NYU Tandon School of Engineering, in the Department of Civil and Urban Engineering. Dr. Silverman’s research focus is on water quality, wastewater treatment, urban flooding, and monitoring and disinfection of waterborne pathogens. Dr. Silverman is a co-director of the FloodNet project (</span><a href="http://www.floodnet.nyc"><span style="font-weight: 400;">www.floodnet.nyc</span></a><span style="font-weight: 400;">), which is working to design, build, and deploy low-cost, real-time flood sensors across NYC. </span>

Urban Systems Lab, The New School

2022

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Waste Calculator – Data as a Tool for NYCHA’s Zero Waste Future

In 2021, the NYC Housing Authority (NYCHA) released its Sustainability Agenda - committing to re-envisioning waste management and recycling, including new tools such as the waste calculator.

NYCHA’s waste calculator, based on the model developed for the Zero Waste Design Guidelines for New York City, is helping improve cleanliness and provide access to composting and recycling for residents. NYCHA’s calculator estimates waste storage needs at developments broken down by material type and projected levels of resident participation.

During this workshop, we will discuss:
<ul>
<li>Background on zero waste in NYC and NYCHA</li>
<li>Overview of data sources, analysis, and methods</li>
<li>Video demonstration of NYCHA's Waste Calculator</li>
<li>Discussion about the development and use of waste calculators by public &amp; private entities</li>
<li>Q&amp;A session</li>
</ul>

Debora Lopes, New York City Housing Authority; Clare Miflin, Center for Zero Waste Design; Carmelo Freda, New York City Department of Sanitation (DSNY)

2022

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Civic Analytics Using Open Data

<span style="font-weight: 400;">This workshop will inform and engage the audience in using NYC open data and civic analytics to address issues of social justice, public health, and climate action in NYC and other cities. We will show and explain how data-driven approaches can be applied to understand neighborhood change, support evidence-based policy and planning decisions, and empower residents through the democratization of data. Specific attention will be given to algorithmic fairness and the bias embedded in many existing datasets. Examples will include research and applied data projects using open data related to energy use and audits (LL84 and LL87), NYC311 reports, land use (PLUTO), mobility, and COVID-19.</span>

Individuals: Constantine E. Kontokosta, Boyeong Hong, Bartosz Bończak | Organizations: NYU Marron Institute of Urban Management Civic Analytics Program, Marron Institute and Center for Urban Science and Progress

2022

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Introduction to Data Visualization using NYC Open Data

This workshop will give attendees the tools they need to create complex and beautiful data visualizations with NYC Open Data using the Altair library, while also serving as an introduction to coding in Python. We’ll cover Python basics before diving into DataFrames, HTTP requests, JSON, and other data storage styles, and data visualizations.

We welcome anyone who wants to create simple to make, yet beautiful and professional-looking data visualizations. No prior coding experience needed.

Vagelos Computational Science Center (CSC) at Barnard College

2022

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DSNY’s Monthly Tonnage Data

The <a href="https://www1.nyc.gov/assets/dsny/site/home">NYC Department of Sanitation</a> (DSNY) is the world’s largest sanitation department. DSNY collects more than 10,500 tons of residential and institutional garbage and 1,760 tons of the recyclables – each day.

<a href="https://data.cityofnewyork.us/City-Government/DSNY-Monthly-Tonnage-Data/ebb7-mvp5">DSNY's Monthly Tonnage dataset</a> on <a href="https://opendata.cityofnewyork.us/">NYC OpenData</a> provides monthly tonnage data by community district of the following materials: refuse, paper recyclables, metal/glass/plastic recyclables, residential organics, school organics, leaves, and Christmas trees.

DSNY Superintendent John Melchiorre from the Operations Assistance Unit, who has 21 years of dedicated DSNY service, will explain how to understand this popular dataset and how DSNY collects and records each material listed.

NYC Department of Sanitation (DSNY)

2022

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Exploring NYC’s Open Data on Early Care and Education

Join Citizens' Committee for Children of New York for a deep dive on the publicly funded early care and education system, which serves around 127,000 children under the age of five in New York City. You will learn how CCC makes the data open to the public and easy to explore on <a title="https://data.cccnewyork.org/" href="https://data.cccnewyork.org/" target="_blank" rel="noreferrer noopener">data.cccnewyork.org</a>.

During the presentation, we will cover many aspects of publicly funded early care and education that pertains to availability of seats for children of different ages; enrollment patterns across centers, schools and family-based settings and across different programs including universal pre-K and 3-K; availability of full-day, year-round care essential for working families; and prohibitively high child care cost and affordability crisis for families across income spectrum.

After the presentation, there will be a demo of our online database which allows <a title="https://data.cccnewyork.org/data" href="https://data.cccnewyork.org/data" target="_blank" rel="noreferrer noopener">exploration</a> of all the early care and education data by borough, community district, and zip code, as well as site-level data on our '<a title="https://data.cccnewyork.org/assetmapping#?domain=1245&amp;assets=bank&amp;communities=3%7c16" href="https://data.cccnewyork.org/assetmapping#?domain=1245&amp;assets=Bank&amp;communities=3%7C16" target="_blank" rel="noreferrer noopener">Map Community Resources' tool</a>.

<strong>Presenter:</strong> Marija Drobnjak, Senior Research Associate for Data Resources

&nbsp;

Citizens Committee for Children of New York

2022

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Civic Capacity and Stewardship Mapping Hack-a-thon (Session 2 of 2)

<span style="font-weight: 400;">This session is for the team to show results from the Civic Capacity and Stewardship Mapping Hack-a-thon. All are welcome to join this presentation.</span>

<span style="font-weight: 400;">The hack-a-thon plans to tackle a set of data visualization and data infrastructure problems related to the Stewardship Mapping and Assessment Project dataset for NYC (</span><a href="https://www.nrs.fs.fed.us/STEW-MAP/nyc/"><span style="font-weight: 400;">https://www.nrs.fs.fed.us/STEW-MAP/nyc/</span></a><span style="font-weight: 400;">). STEW-MAP surveys civic environmental stewardship groups to provide digital maps and organizational network diagrams that show where, with whom, and how groups are taking care of the local environment in NYC. Civic stewardship groups are not only environmentally focused, they include community development organizations, youth groups, public health groups, and more; all of them play a role in conservation, management, monitoring, education, advocacy, and transformation of NYC’s land, air, and water. STEW-MAP was designed to identify active agents of change working in all communities, to acknowledge the work of informal and grassroots groups, and to extend potential partnerships “beyond the known knowns”. It can also be used to identify “stewardship gaps” -- areas that are underserved by active environmental stewardship and engagement. STEW-MAP utilizes methodologies to identify new and existing organizations working across a landscape and depicts strategic networks, stewardship gaps, and overlaps in activity.</span>

USDA Forest Service, NYC Urban Field Station

2022

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Modeling NYC Stormwater Drainage Areas: Working with MS4 spatial datasets

<strong>NYC Department of Environmental Protection</strong> has led the mapping efforts to model stormwater drainage areas citywide since the City received the Municipal Separate Storm Sewer System (MS4) Permit requiring the City to implement measures to reduce pollution in stormwater runoff. NYC Department of Environmental Protection provides MS4 spatial data as open datasets: MS4 outfalls and MS4 drainage areas along with additional data relevant to the MS4 permit such as Bluebelt BMPs, MSW Facilities and SPDES Permits.  NYC Department of Environmental Protection also maintains the datasets for DEP catch basins, citywide outfalls and DEP hydrants.

This talk delves into these open datasets and their use as part of an overview of the methodologies utilized for modeling NYC’s stormwater drainage areas.

<span style="font-size: 12pt;"><strong>Presenters:</strong> </span>
<ul>
<li><span style="font-size: 12pt;">Andreea Vlaiconi, NYC Department of Environmental Protection </span></li>
<li><span style="font-size: 12pt;">Silvia Maria Lorenzo, NYC Department of Environmental Protection </span></li>
<li><span style="font-size: 12pt;">William Morris, NYC Department of Environmental Protection</span></li>
</ul>

NYC Department of Environmental Protection

2022

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NYC Taxi & Limousine Commission Open Data: Overview and Data Hub Demo

The New York City Taxi &amp; Limousine Commission (TLC) is the nation’s largest municipal taxi and for-hire vehicle regulator. The agency licenses over 100,000 vehicles and 175,000 drivers that make over one million trips per day. This session will provide attendees an overview of our extensive Open Data, the ways in which the industry utilizes the data, and a demonstration of the TLC Data Hub: an interactive portal that provides visualizations of our Open Data.

Presenters: Ted Metz, Policy Analyst and Nikita Voevodin, Senior Data Engineer

NYC Taxi and Limousine Commission (TLC)

2022

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Using open election participation data to inform voter outreach in NYC

In 2020, the NYC Campaign Finance Board (CFB) published an open data set containing a table of the 10-year election participation of every active registered voter in NYC as of the general election in 2018 (<a href="https://linkprotect.cudasvc.com/url?a=https%3a%2f%2fdata.cityofnewyork.us%2fCity-Government%2fVoter-Analysis-2008-2018%2fpsx2-aqx3&amp;c=E,1,R5NkhrX76Tm8V-FGjOZCJukTQOPk4J9iEArKYBwRfBfCn2_0DAgRLVnxip3PsR9Ndig9nF5kQsEShsR-Gmcyvzss3afQRcY8VhJzQCubN65qvJNcghAS8LkqY-7J&amp;typo=1" target="_blank" rel="noopener noreferrer" data-auth="NotApplicable" data-linkindex="4">https://data.cityofnewyork.us/City-Government/Voter-Analysis-2008-2018/psx2-aqx3</a> ). This table includes a “participation score”, a score determined by the number of elections a person voted in over the number of elections they were eligible to vote in over the 10-year period of 2008-2018. The goal was to enable the CFB and other community groups to more effectively target GOTV outreach to areas in the city with lower voter participation.

As part of the GoVote NYC initiative, a nonpartisan initiative to strengthen democracy in New York City through civic engagement via community organizations sharing resources, information, and lessons from their Get Out The Vote (GOTV) efforts, Hester Street created an interactive GoVote NYC map (<a href="https://linkprotect.cudasvc.com/url?a=http%3a%2f%2fbit.ly%2fGoVoteMap&amp;c=E,1,yn2fW0i6n_8FG6A54lrOV2i8b1yw3ghxkfHsKgASZk7cjY2tuhb2AMczpg62HSbo5vjProrOJ9MXwUnsOBhICrfF27o1cI2dRsjc_8li&amp;typo=1" target="_blank" rel="noopener noreferrer" data-auth="NotApplicable" data-linkindex="5">Bit.ly/GoVoteMap</a>). The map includes layers of demographic information, community assets, and election information, including turnout and election participation data provided by the NYC Campaign Finance Board.

This event provides more information on why and how the CFB put together the participation table, how Hester Street incorporated this data into their interactive map, and how the CFB, Hester Street, and their partner organizations use it to perform outreach and envision how participation data can continue to support on-the-ground efforts to increase voter participation in future elections.

Presenters:
Jaime Anno, Data Manager, NYC Campaign Finance Board
Michael Perles, Project Manager, Hester Street
Devin Fields, Senior Project Associate, Hester Street

Jaime Anno, NYC Campaign Finance Board (CFB); Michael Perles, Hester Street; Devin Fields, Hester Street

2022

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Getting to Know Checkbook

This session will include a broad overview of the type of data that Checkbook (https://www.checkbooknyc.com/) offers and a guided tour of the site's functionality. We will walk through the Spending and Contracts domains; the M/WBE and Subvendor Featured Dashboards; review the various search capabilities; ways to export data and creating customized alerts.

New York City Comptroller's Office

2022

{"url":"https://www.youtube.com/watch?v=Kl5uGqUbSpY","description":"https://www.youtube.com/watch?v=Kl5uGqUbSpY"}

The A-Train to Knicks Pain: Social Media Analysis of NYC Basketball Fans

<span style="font-weight: 400;">If there’s one thing about New York, the basketball fans here are generally more “passionate” than most. Unfortunately, that passion can turn to pain, especially as a Knicks fan. They have often been disappointed over the course of the last four decades, which brings us to this project. We at "Rambles from The Garden" aim to understand how New York Knicks fans really feel about their team, players, and coach, through analysis using the coding languages Python and R. We will pull hundreds of thousands of Knicks-related tweets to create time series, lexicon, sentiment, and other such analyses. </span>

<span style="font-weight: 400;">By pairing Twitter data with NBA stats such as wins, losses, player's points per games (PPG), etc., our end goal will be to gauge the reactions of the fanbase across social media with a fine lens (for instance, getting a grasp on the Knicks fans’ love-hate relationship with their former All-Star, Julius Randle).</span>

<span style="font-weight: 400;">We're also going to have a little fun by trying to settle who has the better fan base in New York City: Knicks or Nets by doing a comparison of tweets to see who has a generally more positive response to their respective team(s).</span>

Christian Martinez, Rambles From The Garden, Robert Brunswick, Nicholas Rinaldi

2022

{"url":"https://www.youtube.com/watch?v=SKQ7WBAZJdc","description":"https://www.youtube.com/watch?v=SKQ7WBAZJdc"}

Making 311 data more accessible for small business communities

<p class="p1"><a href="http://www.ginkgo.city">Ginkgo</a> helps local community organizations to take coordinated action to resolve issues for local businesses using the city’s 311 dataset.<span class="Apple-converted-space"> Join us for a discussion about how Business Improvement Districts and other local leaders are accessing 311 data to serve their community stakeholders. We will be joined by two Business Improvement District staff members to talk about their use of this data today, as well as engage in an open discussion about how the city's open data resources for the 311 system might be used to improve quality of life around the city in the future.  <strong>This event will be online only.</strong></span></p>

Ginkgo.city

2022

{"url":"https://www.youtube.com/watch?v=DLsOkmIKWCU","description":"https://www.youtube.com/watch?v=DLsOkmIKWCU"}

OpenStreetMap & Open Data: Mapping for Mobility in NYC (1 of 2)

This virtual workshop by TeachOSM is an introduction to open mapping using the OpenStreetMap platform. As a participant in this one-hour workshop, you will get an overview of how to add data to OpenStreetMap and then dive into adding bike racks &amp; pedestrian safety features to improve mobility in NYC.

OpenStreetMap US, TeachOSM

2022

{"url":"https://www.youtube.com/watch?v=kTfFm9OtOC4","description":"https://www.youtube.com/watch?v=kTfFm9OtOC4"}

Applications of NYC Open Data by the Geospatial Community: Tips and Tricks

Come join us on Thursday March 27th @ 4:00-6:30pm. GISMO is hosting a lightning talk hybrid event to explore how NYC Open Data is being used by the NYC GIS and geospatial community, specifically GISMO members. GISMO ( NYC Geospatial Information Systems and Mapping Organization) is a professional development and networking organization, founded in 1990. We have a diverse group of speakers, both students and professionals, across NYC government agencies, universities, and public and private organizations, including NYPD, Arup, DNM Geospatial, and New York University. The topics range from NYPD Open Data Coordinator updates, diving into DEP's Citywide Parcel-Based Impervious Area GIS study, mapping NY Harbor water quality, citizen science data analysis in Jamaica Bay, to understanding women's safety in walkability around NYC. Speakers will include tips and tricks to work with the data sets and for conducting research. The lightning talks and Q&A will occur between 4:30-5:30pm. Stick around for some fun social networking with The Mappy Hour following the talks! Light snacks and refreshments for in-person attendees.

GISMO (NYC Geospatial Information Systems and Mapping Organization)

2022

DEP's Citywide Parcel-Based Impervious Area GIS Study [https://data.cityofnewyork.us/d/uex9-rfq8]

Toward a Third Wave of Open Data for New York City

<i><span style="font-weight: 400;">Identifying Ways to Promote More Purpose Led, Collaborative, and Responsible Data Openness</span></i>

<b>About this event</b>

<span style="font-weight: 400;">The NYC Open Data Program is an example for cities around the world. While the city’s work is commendable, there is much work that city leaders can still do to improve lives, be transparent, and support action toward those issues that New Yorkers care most about. Much of this work can be achieved by embracing the </span><a href="https://opendatapolicylab.org/third-wave-of-open-data/"><span style="font-weight: 400;">Third Wave of Open Data</span></a><span style="font-weight: 400;">.</span>

<span style="font-weight: 400;">Coined by the Open Data Policy Lab, a collaboration between The GovLab and Microsoft, The Third Wave of Open Data comprises a set of actions and priorities that goes beyond the initial first wave focused on freedom of information, and the second wave that sought to establish a platform for data release. It involves an approach to open data not simply for the sake of opening data but to enable impactful and responsible re-use of data to tackle societal challenges and to provide for equity and opportunity, especially through inter-sectoral collaborations and partnerships. The Third Wave seeks to build upon the existing foundation of open data and integrate priorities such as: publishing with purpose; initiating data collaboratives; and prioritizing data rights and responsibilities.</span>

<span style="font-weight: 400;">As part of </span><a href="https://www.open-data.nyc/"><span style="font-weight: 400;">Open Data Week 2022</span></a><span style="font-weight: 400;">, The GovLab will host a virtual panel conversation to discuss these issues. Relying on the framework provided by the Third Wave of Open Data and examples of ongoing data work across New York and other municipalities, we will discuss ways the city can promote responsible and effective reuse of data to meet the needs of its residents. Panelists will review current trends, challenges, and opportunities regarding NYC open data, and the ways that data (re)use and the Third Wave has changed over the course of the pandemic.</span>

&nbsp;

<b>Panelists:</b>
<ul>
<li style="font-weight: 400;"><a href="https://thegovlab.org/stefaan-verhulst.html"><span style="font-weight: 400;">Stefaan Verhulst</span></a><span style="font-weight: 400;">, Co-Founder and Chief Research and Development Officer, The GovLab</span></li>
<li style="font-weight: 400;"><a href="https://www.linkedin.com/in/oscar-romero-ei"><span style="font-weight: 400;">Oscar Romero</span></a><span style="font-weight: 400;">, Program Director, NYC Mayor’s Office of the Chief Technology Officer</span></li>
<li style="font-weight: 400;"><a href="https://www.linkedin.com/in/tarapham/"><span style="font-weight: 400;">Tara Pham</span></a><span style="font-weight: 400;">, Founder and CEO, Numina</span></li>
<li style="font-weight: 400;"><a href="https://www.linkedin.com/in/megyoung0/"><span style="font-weight: 400;">Meg Young</span></a><span style="font-weight: 400;">, Postdoctoral Fellow at Cornell Tech's Digital Life Initiative and Fellow in the Mayor's Office of the Chief Technology Officer, City of New York</span></li>
<li><a href="https://gcc02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.eventbrite.com%2Fe%2Ftoward-a-third-wave-of-open-data-for-new-york-city-nyc-open-data-week-2022-tickets-276810867757%3Fref%3Destw%23%3A~%3Atext%3DSam%2520Roberts%252C%2520Head%2520of%2520Open%2520Data%2520%2526%2520Open%2520Government%252C%2520UK%2520Cabinet%2520Office&amp;data=04%7C01%7CZFeder%40analytics.nyc.gov%7C267336cb0f644ab1926c08d9fbc1d358%7C35c828166c56443bbaf68312163cadc1%7C0%7C0%7C637817632181158190%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000&amp;sdata=tmII84ge9elMeu9tqBTf3ieK60LBc%2BZk15plhfkKxhg%3D&amp;reserved=0">Sam Roberts</a>, Head of Open Data &amp; Open Government, UK Cabinet Office</li>
</ul>
&nbsp;

<b>Goals</b>

<span style="font-weight: 400;">This goal will give attendees a clear understanding of recent developments and future priorities around open data and data re-use in the City of New York. It will also identify productive avenues for building on New York City’s current accomplishments and realizing the promise of the Third Wave of Open Data.</span>

<span style="font-weight: 400;">This will be a 90-minute event. The final 20 minutes will be reserved for audience questions and answers.</span>

The GovLab

2022

{"url":"https://www.youtube.com/watch?v=a1nnrXr9pOA","description":"https://www.youtube.com/watch?v=a1nnrXr9pOA"}

What’s New? NYC Agency Maps, Tools, & Geospatial Data for 2022

New York City agencies create and publish a huge volume of geospatial data about land use, emergency preparedness, and public health.  We use Geographic information Systems (GIS), computer-based tools to store, visualize, and analyze this geographic data.  This panel will review publicly-available tools and data sets, discuss the state of GIS technology in the city, and consider how the City uses geospatial data to serve NYC residents.  Join this conversation with agency GIS leaders about new maps &amp; tools, geospatial data, and initiatives for 2022.

Panelists:
<ul>
<li>Lee Ilan, Chief of Planning, Mayor's Office of Environmental Remediation</li>
<li>Jiin Wen, Director of Multimedia &amp; Geospatial Information Service Unit, NYC Economic Development Corporation</li>
<li>Joshua Friedman, Executive Director of GIS, NYC Emergency Management</li>
<li>Matt Croswell, GIS Team Lead and Open Data Coordinator, NYC Department of City Planning</li>
<li>Matthew Montesano, Director of Data Communication, Bureau of Environmental Surveillance and Policy, NYC Department of Health &amp; Mental Hygiene</li>
<li>Tom Swanson, Executive Director of  Citywide GIS, NYC Office of Technology and Innovation (OTI), formerly DoITT</li>
</ul>

Lee Ilan, NYC Mayor's Office of Environmental Remediation

2022

{"url":"https://www.youtube.com/watch?v=PiE8J3P40BM&t=1080s","description":"https://www.youtube.com/watch?v=PiE8J3P40BM&t=1080s"}

DATA2GO.NYC Scavenger Hunt from Home Winner Announcement

<strong> Join our DATA2GO.NYC Scavenger Hunt from Home for a chance to win $500 for your favorite nonprofit!</strong>

Throughout the week, Measure of America (MOA) will be sending out challenges on our <a href="https://twitter.com/moa_org">Twitter</a> page. <strong>Challenges will begin on Monday, March 7th</strong>, and will require you to use <a href="https://www.data2go.nyc/">DATA2GO.NYC</a>, our free interactive social science data tool. You must be following us (@MOA_org), and include @MOA_org, the challenge number, and the hashtag #DATA2GO in each submission post on Twitter to qualify. The winner will be selected based on the completion of the most challenges according to their guidelines. <em>The deadline to send in your challenge submissions via Twitter is Friday, March 11 at 10 AM EST.</em>

The winner will be announced during a Zoom event on <strong>Friday, March 11th at 12 PM EST</strong>. The <strong>$500 PRIZE</strong> will be in the form of a <strong>donation to a nonprofit of your choice</strong>. We'll also be joined by Kristen Lewis, director of MOA, and Laura Laderman, MOA's chief statistician, who will be showing powerful ways to share and visualize data. Anyone interested is welcome!

<strong>Visit our <a href="https://twitter.com/moa_org">Twitter</a> page on the morning of Monday, March 7 to begin the challenge!</strong>

&nbsp;, <strong>Join Measure of America for the announcement of our DATA2GO.NYC Scavenger Hunt winner. You could win $500 for your favorite non-profit!</strong>

Throughout the week, MOA will be sending out challenges on our <a href="https://twitter.com/moa_org">Twitter</a> page. <strong>Challenges will begin on Monday, March 7th</strong>, and will require you to use <a href="https://www.data2go.nyc/">DATA2GO.NYC</a>, our free interactive social science data tool. You must be following us (@MOA_org), and include @MOA_org, the challenge number, and the hashtag #DATA2GO in each submission post on Twitter to qualify. The winner will be selected based on the completion of the most challenges according to their guidelines. <em>The deadline to send in your challenge submissions via Twitter is Friday, March 11th at 10 AM EST.</em>

The winner will be announced during this Zoom event on <strong>Friday, March 11th at 12 PM EST</strong>. The <strong>$500 PRIZE</strong> will be in the form of a <strong>donation to a nonprofit of your choice</strong>. We'll also be joined by Kristen Lewis, director of MOA, and Laura Laderman, MOA's chief statistician, who will be showing powerful ways to share and visualize data. Anyone interested is welcome!

&nbsp;

Measure of America

2022

{"url":"https://www.youtube.com/watch?v=UBQO-Fqbsa4","description":"https://www.youtube.com/watch?v=UBQO-Fqbsa4"}

Obsessed with Boba? Analyzing Bubble Tea Shops in NYC Using the Yelp Fusion API

In this workshop, we explore and develop insights about NYC's Bubble Tea Shops using the Yelp Fusion API. Sections include:
<ul>
<li>How to use the Yelp Fusion API,</li>
<li>Data Cleaning, Wrangling and Visualizations in Python,</li>
<li>A demo of our web app created in Jupyter Book and Streamlit</li>
</ul>
Additionally, questions we explore include bubble tea locations, Yelp ratings, review counts and price.

After an initial introduction of each section, participants will join break-out groups depending on which topic they would like to learn more about. These break-out sessions will be hands-on and interactive. Participants will then reconvene for a Q&amp;A and final thoughts. Attendees will gain a better understanding of the data analysis workflow and will leave with skills and a template to uncover insights with any dataset.

This workshop recommends beginner-level proficiency with Python and is focused on applying Python to data analysis; however, those new to Python are gladly welcome!

Tools included in the workshop include:
<ul>
<li>Python</li>
<li>Jupyter Notebook</li>
<li>Streamlit or Dash</li>
<li>Yelp Fusion API (this is a free API that only requires registration)</li>
</ul>
A preview of the workshop can be found on GitHub here: https://github.com/mebauer/boba-nyc. For more information about requirements and library dependencies, please visit our GitHub page under the section Dependencies.

Ho Hsieh, Nathan Williamson, Chidi Ezeolu, Mark Bauer

2022

{"url":"https://www.youtube.com/watch?v=0Ndmhwu8Dbg","description":"https://www.youtube.com/watch?v=0Ndmhwu8Dbg"}

Polemical Mapping - Inclusion and Omission in Maps of Homeless Services (2017-21), Polemical Mapping - Inclusion and Omission in Maps of Homeless Services (2017-21)

With the release of the report "Turning the Tide on Homelessness in New York City" the Mayor and NYC's Department of Homeless Services (DHS) proposed a new approach to address the homeless crisis. Near the end of this landmark report was the map: "Cluster Sites and Hotels Used for Shelter by Community District" which served as evidence of shelter distribution in 2017 and as the baseline the administration intended to change.

This NYC Open Data Week presentation will examine the polemical subtext of this map by comparing it to contemporaneous maps produced by the New York City Council, a subsequent 2021 DHS map, as well as other maps created from New York City's Open Data portal. By questioning and comparing the cartographic choices that shaped the "Cluster Sites and Hotels" map, this map can be better understood not only in terms of what it visualized but also what it obscured, and serve as a case study of how interrogating maps and cartographic choices should be part of the toolkit an informed citizenry brings to all received data visualizations.

&nbsp;

Shawn Hill, Silicon Harlem, Fordham University

2022

{"url":"https://www.youtube.com/watch?v=oH_LKo3OD7I","description":"https://www.youtube.com/watch?v=oH_LKo3OD7I"}

Science in Your Neighborhood

Our overarching goal is to look at the wide array of publicly available data to offer ideas on how science and scientists can lend input to key challenges the City faces. We will present our recent efforts to overlay various sources of City data to gain a more detailed understanding of science policy issues across NYC's 59 community districts. Some of the key issues we focus on, but are not limited to, include climate change, sanitation, composting, air quality, access to clean water, STEM &amp; broadband access, etc. Our analysis gives more of an overview of the relative impact of these issues on each community board district than a detailed review of any of them in particular.

Our event will cover:
1. An overview of the creation of our map, including the "how" and "why."
2. A walk-through of the map, highlighting “lessons learned.”
3. A case study in using the map to address local science policy issues.
4. How this type of analysis can be applied going forward.
5. The value we think scientists can add to local policy.
6. Ideas for how to build policy engagement with NYC’s local scientific community.

Science for New York (Sci4NY)

2022

{"url":"https://www.youtube.com/watch?v=Ab92R4jo8iE","description":"https://www.youtube.com/watch?v=Ab92R4jo8iE"}

Localized hunger research applications of federal data and national open data sets

<span style="font-weight: 400;">Hunger Free America (HFA) is a nonpartisan, national nonprofit group working to enact the policies and programs needed to end domestic hunger and ensure that all Americans have sufficient access to nutritious food. HFA’s Data Director, Angelica Gibson, and DevOps Engineer, Atticus Rains, will discuss how the organization leverages their open data national database of feeding programs in conjunction with government data to produce hunger research that advocates for more progressive local and national policies. By synthesizing data from the USDA, Census Bureau, and survey results from feeding programs, HFA is able to gain a fuller understanding of hunger directly from those most impacted by the issue. </span><span style="font-weight: 400;">
</span><span style="font-weight: 400;">
</span><span style="font-weight: 400;">Part of HFA’s analysis is a NYC-specific report that breaks the federal hunger data down by borough along with NYC feeding program data. This presentation will focus on analyzing federal data at the county level to produce our annual NYC hunger report, along with a brief introduction of our national database of feeding programs and its research applications. Our database is open source and follows Open Referral’s Human Service Data Specification. Attendees will learn about hunger data, analyzing federal data at the county-level, and using open source databases for localized research.</span>

Hunger Free America, Angelica Gibson, Atticus Rains

2022

{"url":"https://www.youtube.com/watch?v=a66C9v-s4tA","description":"https://www.youtube.com/watch?v=a66C9v-s4tA"}

Using Local Data to Drive Housing Loss Decision-Making

Access to safe and affordable housing is a crucial determinant of well-being and resilience for individuals and families. Yet every year, five million Americans lose their homes through evictions and mortgage foreclosures. This displacement is linked to poor outcomes, including adverse health impacts, gaps in educational attainment, and chronic homelessness.

While many social organizations aim to reduce housing loss, they are often limited by piecemeal and low-quality data. Across the United States, the ability to access and understand housing loss varies widely by community. Data availability varies by locality and an individual’s ability to interpret it.

DataKind and New America Future of Land and Housing have teamed up to create and release an eviction and foreclosure data tool for the public good. As an open source, open access digital toolkit, this solution is intended to make digesting and analyzing jurisdiction-level eviction and foreclosure data easier for any actor. By making this information accessible to policymakers and direct service institutions, these actors can make data-driven decisions to combat housing insecurity. In this scenario, locally collected data can provide early indicators of housing insecurity that are likely or known to be predictors of vulnerability or eventual housing loss such that interventions can be deployed.

This event will include presenters and panelists from the technology and policy sectors to discuss this toolkit and demonstrate insights derived from NYC Open Data. Curious individuals will be encouraged to recreate the NYC Open Data solutions using the toolkit and NYC Open Data on their personal computers.

DataKind, New America Future of Land and Housing

2022

{"url":"https://www.youtube.com/watch?v=qKQ5wQtKEJo","description":"https://www.youtube.com/watch?v=qKQ5wQtKEJo"}

The Tip of the Iceberg of Domestic Violence

Last year's stay-at-home orders saved an untold number of lives. But they also may have fueled an increase in domestic violence in the United States. Learn about student work at Cornell Tech leveraging <a href="https://www1.nyc.gov/site/nypd/stats/reports-analysis/domestic-violence.page">NYPD domestic violence complaints data</a> to assess trends and patterns of domestic violence in New York City.

This session is organized by Cornell Tech's <a href="https://urban.tech.cornell.edu">Urban Tech Hub</a>.

Moderated by: Anthony Townsend

Presentations by:
<ul>
<li><span data-sheets-value="{&quot;1&quot;:2,&quot;2&quot;:&quot;Preksha Agarwal, Eesha Khanna, Jenny Liu&quot;}" data-sheets-userformat="{&quot;2&quot;:897,&quot;3&quot;:{&quot;1&quot;:0},&quot;10&quot;:0,&quot;11&quot;:4,&quot;12&quot;:0}">Preksha Agarwal</span></li>
<li><span data-sheets-value="{&quot;1&quot;:2,&quot;2&quot;:&quot;Preksha Agarwal, Eesha Khanna, Jenny Liu&quot;}" data-sheets-userformat="{&quot;2&quot;:897,&quot;3&quot;:{&quot;1&quot;:0},&quot;10&quot;:0,&quot;11&quot;:4,&quot;12&quot;:0}">Eesha Khanna</span></li>
<li><span data-sheets-value="{&quot;1&quot;:2,&quot;2&quot;:&quot;Preksha Agarwal, Eesha Khanna, Jenny Liu&quot;}" data-sheets-userformat="{&quot;2&quot;:897,&quot;3&quot;:{&quot;1&quot;:0},&quot;10&quot;:0,&quot;11&quot;:4,&quot;12&quot;:0}">Jenny Liu</span></li>
</ul>

Cornell Tech Urban Tech Hub

2022

Community-driven extreme weather preparedness planning in Northern Manhattan: a multi-sector conversation about data, information, and resource needs

<span style="font-weight: 400;">New York City is a recognized leader in open data and is at the forefront of climate disaster planning and mitigation which impacts all residents and a range of communities facing situations leading them to be particularly vulnerable. Environmental justice organizations are mobilizing residents in these communities to better plan and adapt to the climate emergency. In doing so, they are consulting residents to determine their information and resource needs in order to develop educational campaigns and tools to strengthen resilience and preparedness at a local and neighborhood scale. A recognized national leader in environmental justice and climate action, Harlem-based WE ACT for Environmental Justice, along with local partners in the Northern Manhattan area, identified different types of resources and information needs in the event of extreme heat and flooding scenarios, including health and emergency services, evacuation zones, emergency shelters, access to certain supplies and resources, energy sources, and transportation services. Data quality, interoperability, availability, access, granularity, analysis, and comprehensiveness issues are anticipated and represent an opportunity for inter-sectoral collaboration and impactful data sharing. With different perspectives from academia, elected representatives, city government, and civil society, this online panel discussion will provide insights into different mindsets, expectations, uses, and responsibilities related to climate emergency planning and the preparedness data ecosystem. Framed around WE ACT’s extreme weather preparedness planning, we hope to draw lessons from this community and data-driven experience in North Manhattan for the benefit of other initiatives elsewhere in the New York City area while gaining a better understanding of the City’s climate disaster planning and mitigation investments and data assets.</span>

<strong>Moderator</strong>:

Jean-Noé Landry, Obama Scholar, Former Executive Director of Open North

<strong>Speakers</strong>:

Annie Carforo, Climate Justice Organizer, WE ACT for Environmental Justice

Andrew Kruczkiewicz, Senior Staff Associate, International Research Institute For Climate and Society, Columbia University

Eunice Ko, Deputy Chief of Staff &amp; Senior Policy Advisor for Equity, NYC Mayor’s Office of Climate and Environmental Justice

Adrienne Schmoeker, Advisor, Urban AI; and Senior Fellow, The GovLab at NYU

Mark D. Levine, Manhattan Borough President

&nbsp;

&nbsp;

&nbsp;

Individuals: Jean-Noe Landry | Organizations: Obama Foundation, WE ACT, Columbia University in New York, City of New York

2022

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Hands-On Workshop: Exploring NYC Open Data

Come join this hands-on workshop exploring publicly available datasets using the Python programming language.  No previous programming experience is needed, just a browser and willingness to try.  We'll start with Python basics to make maps of NYC locations and landmarks, and then use standard libraries to explore two canonical NYC Open Data data sets:  WiFi locations and 311 calls.

Organized by the Department of Computer Science, Hunter College, City University of New York.

Katherine St. John, Susan Sun, Hunter College, City University of New York

2022

Applications of MTA Data, Past and Future: Global Standards, Local Pathways

This talk will discuss how open data is used to build applications. Specifically, it will discuss how the use of MTA open data can be used to build iPhone apps for users who ride the subway or bus. Mike Sanderson has been an iPhone app developer building apps for consumers in different settings for 9 years. In 2013, when just starting, Mike won third in the "AppQuest" hackathon held by the MTA, and also released 3 independent subway apps in 2013 and 2014, using materials and open data from the MTA. Since then Mike has worked on iPhones for range of startups and large brands.

This talk will look specifically at how Open Data makes specific applications possible. It will extensively discuss the GTFS format--the standard General Transit Feed Specification-- and how it has evolved over time. The talk will be in three parts. First, it will look at the MTA's contest and Mike's subway apps from 2013 and 2014, and find out what became of this first generation of subway app. What benefits were realized, and what didn't pan out? Second, the structuring of data for transit will be discussed in "Systems Theory" approach, looking at the goals and interactions of transit agencies, tech platforms, app developers, users, and others. Third, the GTFS format itself will be looked at. This includes both GTFS "static" or "scheduled" and the "realtime". A new way of thinking about transit questions is suggested, the concept of "horizon". Finally, and still part of the GTFS discussion, a new way of visualizing and navigating stations is suggested, by thinking about navigation not as coordinates in space but as access pathways.

Mike Sanderson

2022

Civic Capacity and Stewardship Mapping Hack-a-thon (Session 1 of 2)

<b>Civic capacity and stewardship mapping hack-a-thon</b>

<span style="font-weight: 400;">This hack-a-thon will tackle a set of data visualization and data infrastructure problems related to questions of civic capacity and environmental stewardship in New York City. The Stewardship Mapping and Assessment Project (STEW-MAP) dataset for NYC (</span><a href="https://www.nrs.fs.fed.us/STEW-MAP/nyc/"><span style="font-weight: 400;">https://www.nrs.fs.fed.us/STEW-MAP/nyc/</span></a><span style="font-weight: 400;">) surveys civic environmental stewardship groups to provide digital maps and organizational network diagrams that show where, with whom, and how groups are taking care of the local environment in NYC. </span>

You will be joined by the STEW-MAP team:
<ul>
<li>Michelle Johnson, Research Ecologist, USDA Forest Service</li>
<li>Can Sucuoglu, Interim Director, Spatial Analysis and Visualization Initiative, Pratt Institute</li>
<li>Erika Svendsen, Research Social Scientist, USDA Forest Service</li>
<li>Lindsay Campbell, Research Social Scientist, USDA Forest Service</li>
</ul>
<span style="font-weight: 400;">Come join our efforts to advance our understanding of civic capacity and stewardship in NYC. Possible topics to advance in the hack-a-thon include the following:</span>
<ul>
<li style="font-weight: 400;"><span style="font-weight: 400;">Identifying new stewardship groups and updating group data in real-time </span></li>
<li style="font-weight: 400;"><span style="font-weight: 400;">Network visualizations and spatial mapping with other NYC Open Data sets</span></li>
<li style="font-weight: 400;"><span style="font-weight: 400;">Textual analysis and visualization, with sentiment or topic analysis. </span></li>
<li style="font-weight: 400;"><span style="font-weight: 400;">Combining STEW-MAP with other NYC Open Data datasets to map civic capacity and climate change risks</span></li>
</ul>
<span style="font-weight: 400;">We will start the virtual hack-a-thon at 7 pm on Thursday March 10 with a kickoff meeting to present these topics, point you to datasets and other resources, and discuss logistics. Work will continue in groups until Saturday afternoon at 4 pm, when participants will demo their hack-a-thon efforts to the STEW-MAP team.</span>

<span style="font-weight: 400;">If you have experience with GIS mapping, network analysis, R/python coding, cartography, databases, text analysis, or are just interested in the topic, please join us. All skillsets and experience levels are welcome!</span>

USDA Forest Service, NYC Urban Field Station; Pratt Institute, Spatial Analysis and Visualization Initiative (SAVI)

2022

{"url":"https://www.youtube.com/watch?v=rVvsioX8FBM","description":"https://www.youtube.com/watch?v=rVvsioX8FBM"}

Exploring and Mapping NYC's Building Energy Data Through Programming

<div>

We've all seen the energy grades posted at the entrances of large buildings in New York City. But how one building compare to its neighbor, or to buildings in other parts of the city? And how is the city doing overall? Are grades improving from year to year? Do newer buildings outperform older ones? Are there any interesting stories buried in the data?

This workshop will teach you mapmaking through programming — Python will be our language of choice, and we will introduce powerful packages like Pandas, Geopandas and Altair to explore geographic data. Our final product will be a Colab Notebook (similar to a Jupyter Notebook) with maps and graphs exploring the distribution of energy grades from 2020 and 2021 across the city and highlighting specific investigative leads.

This session will be led by <a href="https://brown.columbia.edu/portfolio/juan-francisco-saldarriaga-2/">Juan Francisco Saldarriaga</a>, Senior Data &amp; Design Researcher at the <a href="https://brown.columbia.edu/">Brown Institute for Media Innovation</a> at Columbia University's School of Journalism.

No prior programming experience is required!

</div>

Brown Institute for Media Innovation, Columbia University

2022

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Low-code visual data exploration with NYC public data

Have you ever felt trapped by only having a few chart types to choose from in your spreadsheets, and not having the time, budget, or experience to realize the visualization of your dreams?

In this session, you will learn to use free web-based and open source low-code tools from industry and academia. When these tools are combined, you'll have a powerful toolkit be able to uncover and organize visual insights from relatable public NYC datasets in dozens of creative ways.

<strong>Featured Datasets:</strong>
<ul>
<li>If you pay taxes, you may be interested in how your dollars are spent in the <a href="https://data.cityofnewyork.us/City-Government/Citywide-Payroll-Data-Fiscal-Year-/k397-673e">Citywide Payroll.</a></li>
<li>If you know someone who had a child in the past decade, you may be interested in <a href="https://data.cityofnewyork.us/Health/Popular-Baby-Names/25th-nujf">NYC Baby Names.</a></li>
<li>If you breathe, you may be interested in <a href="https://a816-dohbesp.nyc.gov/IndicatorPublic/AQHub/realtime.html">real-time air quality.</a></li>
<li>If you eat out, you may be interested in <a href="https://data.cityofnewyork.us/Health/DOHMH-New-York-City-Restaurant-Inspection-Results/43nn-pn8j">Restaurant Inspections.</a></li>
<li>If you go shopping, you may be interested in <a href="https://data.cityofnewyork.us/Business/Legally-Operating-Businesses/w7w3-xahh">Legally Operating Businesses.</a></li>
<li>If you have ever struggled to find outdoor public seating in the city to eat, you may be interested in <a href="https://www1.nyc.gov/site/planning/plans/pops/pops.page">POPs</a>.</li>
</ul>
<strong>Featured Tools:</strong>
<ul>
<li>Graphpad (Vega-Lite) and Excalidraw (Free and open source) plugins for Figjam (closed source, but has free plan)</li>
<li>Rawgraphs (Free and open source)</li>
<li>Voyager2 (Free and open source)</li>
<li>Kepler.gl (Free and open source)</li>
<li>Sanddance (Free and open source)</li>
<li>Datasette (Free and open source)</li>
</ul>
For best results, please join the session from a computer. These tools will not work as well from a tablet or mobile phone.

Cameron Yick, Datadog

2022

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Youth Data, Youth Voices: SMS Data Collection to Survey Young People in NYC

In February 2021, youth advocates and Citizens’ Committee for Children of New York (CCC) launched a survey that collected responses from more than 1,300 young people (ages 14 to 24) across New York City. The survey was designed and distributed as part of an initiative called <a href="https://cccnewyork.org/voicing-our-future-surveying-youth-on-their-priorities-for-2021-and-beyond/"><em>Voicing Our Future</em></a>, a collaboration with hundreds of youth who wanted to hear from their peers on the issues that matter most to them in the build up to the 2021 municipal elections for mayor, city council, and borough president. While youth are a typically ‘hard-to-reach’ survey demographic, this project succeeded due to its inclusive design and methods of reaching young people.

Join CCC and its Youth Action Members to learn about this project's approach to participatory research and use of SMS technology to collect data from a broad sample of youth in New York City, and promote lessons for applying this approach in other settings.

Citizens Committee for Children of New York

2022

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Citi Map: Create Your Own Data Maps

<p class="part in-view" title="" data-startline="12" data-endline="12" data-position="271" data-size="0" data-original-title="" aria-describedby="popover759899"><span data-position="271" data-size="468">Urban data collection tools can take many forms, from clickers &amp; click boards to AI-enabled sensing devices. Each of these options present trade-offs between efficiency, accessibility, and privacy. Citi Map offers an open source, privacy-preserving digital tool for personal data collection that can be used while moving about a city. The goal of the project is to facilitate collecting real-time or time sensitive urban data that can be shared with other NYC residents.</span></p>
<p class="part in-view" data-startline="14" data-endline="14" data-position="743" data-size="0"><span data-position="743" data-size="407">Users choose their urban objects or behaviors of interest to customize the web app for their purposes. As an example, Mask Map is a Citi Map created to collect mask behavior data in NYC. Depending on what they observe around them, users click the emoji representing “mask”, “half-masked”, or “no mask”. This open dataset can be used to visualize how mask behavior has changed over time and across the NYC - </span><a href="https://maskmap.us/" target="_blank" rel="noopener"><span data-position="1150" data-size="19">https://maskmap.us/</span></a><span data-position="1169" data-size="1">.</span></p>
<p class="part in-view" data-startline="16" data-endline="16" data-position="1172" data-size="0"><span data-position="1172" data-size="380">After an introduction to the project and Github repo, workshop participants will have the opportunity to adapt Citi Map for their own projects, through an interactive coding session. Potential projects include: tracking different kinds of trash on the street, blooming cherry blossom trees, or public bench locations. Please log your item of interest ahead of the workshop here - </span><a href="https://github.com/dingaaling/citi-map/issues/5" target="_blank" rel="noopener"><span data-position="1552" data-size="47">https://github.com/dingaaling/citi-map/issues/5</span></a><span data-position="1599" data-size="1">.</span></p>
<p class="part in-view" data-startline="18" data-endline="18" data-position="1604" data-size="0"><span data-position="1604" data-size="206">The event will be lead by Citi Map &amp; Mask Map co-developers Jennifer Ding (Research Application Manager @ The Alan Turing Institute | @jen_gineered) and Marco Berlot (Software Engineer @ IBM | @MarcoBerlot).</span></p>

Jennifer Ding, The Alan Turing Institute; Marco Berlot, IBM

2022

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Between Physarum lattices and NYC recycling data

"3d printers add materials in layers; nature doesn't. Nature grows."- Neri Oxman, an Israeli-American Designer and professor at the MIT media lab.

Rather than exploring how multiple materials can assemble an object, our exploration started by looking to nature and searching for a model that bears growth using a single material.
We explore the Physarum. It is a slime mold popularly known as "the blob." Our research consists of establishing a mathematical model that describes the growth and decay of the Physarum over time. The model is then harnessed to produce data visualizations using decay, density, color, speed, 3d space, and time to portray a rich, insightful picture.

The proposed framework would allow artists and designers to leverage a unique generative model we developed. We will showcase the model on NYC recycling data. Our exploration will help users understand how much we are contributing to the communal effort of recycling and keeping our planet green and clean and improving our waste management and daily habits.

Moshe Borouchov, Cornell Tech University

2022

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Discover and Connect Urban Data with Artificial Intelligence

Individual datasets are like isolated islands, wouldn't be great if you can navigate the sea of open data intuitively and connect multiple datasets together for in-depth analysis?

In this presentation/workshop, we will demonstrate an AI-powered data exploration platform where you can discover and connect datasets on NYC Open Data. During and after the event, you will have hands-on opportunities to play with NYC Open Data and generate your own data network.

Brought to you by data enthusiasts at Columbia University Data Science Institute: Tim Wu, Connie Liu, and Skye Chen.

Guangyu Wu, Shiyue Liu, Zhengyi Chen, Columbia University

2022

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Managing Messy Data

Library workers can make great use of NYC Open Data to both answer questions from patrons and conduct their own research. Once you've got the dataset, though, the process has only just begun. The next step? Ensuring the data is uniform so you can begin to answer those research questions as accurately as possible.

In this one-hour workshop, hosted by METRO and led by Katie Wolf, Science and Technology Librarian at Fordham University Libraries, attendees will learn the basics of working with OpenRefine utilizing a Squirrel Census dataset from NYC Open Data. Attendees will get an overview of features and functions of OpenRefine, and will learn how to create a new project, manipulate data fields, and split and create columns. After completing the workshop, participants should feel confident about working with OpenRefine on their own projects.

For a deeper dive into OpenRefine, be sure to register for Part 2 of this webinar: https://tinyurl.com/MessyDataPt2

&nbsp;

<strong>** Important! ** Please use the following link to RSVP for this event: </strong>&lt; <a href="https://us02web.zoom.us/webinar/register/WN_og-LRqaST9yLwN-gCNL5Ig">https://us02web.zoom.us/webinar/register/WN_og-LRqaST9yLwN-gCNL5Ig</a> &gt;

&nbsp;

Metropolitan New York Library Council (METRO)

2022

Building NYC Stories with Data Kits

<strong><a href="https://www.datastories.cc/">Data Stories</a></strong> team members <a href="https://www.linkedin.com/in/cameronfadjo/">Cameron Fadjo</a>, <a href="https://www.linkedin.com/in/jhttps://www.linkedin.com/in/jordan-creenaune/ordan-creenaune/">Jordan Creenaune</a> and <a href="https://www.linkedin.com/in/allenhillery/">Allen Hillery</a> will host a 90 minute long session where the audience will create a data visualization or data <span class="il">story</span> from the following NYC inspired data kits:

1. <a href="https://data.cityofnewyork.us/browse?Data-Collection_Data-Collection=2018+Central+Park+Squirrel+Census" target="_blank" rel="noopener" data-saferedirecturl="https://www.google.com/url?q=https://data.cityofnewyork.us/browse?Data-Collection_Data-Collection%3D2018%2BCentral%2BPark%2BSquirrel%2BCensus&amp;source=gmail&amp;ust=1645902288488000&amp;usg=AOvVaw0-A7VZ-pEnVLi6xl4pyHtH"><span class="il">NYC</span> Squirrel Census</a>

2.  <a href="https://data.cityofnewyork.us/City-Government/NYC-Wi-Fi-Hotspot-Locations/yjub-udmw" target="_blank" rel="noopener" data-saferedirecturl="https://www.google.com/url?q=https://data.cityofnewyork.us/City-Government/NYC-Wi-Fi-Hotspot-Locations/yjub-udmw&amp;source=gmail&amp;ust=1645902288488000&amp;usg=AOvVaw1aGB04wVM5OV-acouWXDJF"><span class="il">NYC WiFi</span> Hotspots</a>

3.  <a href="https://data.cityofnewyork.us/Social-Services/LinkNYC-Locations/s4kf-3yrf" target="_blank" rel="noopener" data-saferedirecturl="https://www.google.com/url?q=https://data.cityofnewyork.us/Social-Services/LinkNYC-Locations/s4kf-3yrf&amp;source=gmail&amp;ust=1645902288488000&amp;usg=AOvVaw2MS_VrUml8tRILK0a4hcvw">LinkNYC</a> hub locations

4.  <a href="https://data.cityofnewyork.us/Health/Popular-Baby-Names/25th-nujf" target="_blank" rel="noopener" data-saferedirecturl="https://www.google.com/url?q=https://data.cityofnewyork.us/Health/Popular-Baby-Names/25th-nujf&amp;source=gmail&amp;ust=1645902288488000&amp;usg=AOvVaw3t_sHiwHv_D1GRBDtUqQ_R">Popular Baby Names</a> in <span class="il">NYC</span>

<strong><a href="https://www.datastories.cc/">Data Stories</a> empowers people and communities around the world</strong> to eliminate misinformation and create positive change using words, data, and visualizations. We recognize that no comprehensive programs exist to develop the data literacy skills needed for communities and the workplace; especially for teenagers and early career adults. Our solution is to build a hybrid in person/online experience where teachers, teenagers and early career adults can: 1. <strong>Develop skills</strong> in data and storytelling 2. <strong>Build connections</strong> with peers 3. <strong>Create change</strong> through impact focused data storytelling.

Individuals: Cameron Fadjo, Allen Hillery, Jordan Creenaune | Organizations: Data Stories

2022

Workshop

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MTA BusTime: Big, Streaming Open Data 101

Some open data sets are sparse and infrequent. Real-time transit data is the opposite—copious and incessant. This workshop will dive into the details of dealing with big, streaming urban data with code examples that let you interact with the MTA New York City Transit BusTime API.

This virtual session is organized by the Cornell Tech <a href="https://urban.tech.cornell.edu">Urban Tech Hub</a>.

Cornell Tech Urban Tech Hub

2022

Using Open Data for a Safer and Improved Cycling Network in NYC

<strong>Did you know New York City has the oldest bike lane in America, and one of the largest bike networks, plus bike share programs in North America? 🚲
</strong>

The Covid-19 pandemic introduced hundreds of thousands of New Yorkers to this bicycle infrastructure for the first time. This session highlights student research from Cornell Tech that explores the intersection of open data and how the City can enhance multiple generations of infrastructure improvements with a focus on safety. Join us to learn how to use open data to understand the past and present, while building a safer future for all in New York City.

<em>This hybrid session will be introduced by the City's Chief Analytics Officer, Martha Norrick, and is organized by the Cornell Tech <a href="https://urban.tech.cornell.edu">Urban Tech Hub</a>.</em>
<h4>** Important re: Registration **</h4>
To attend this session <span style="text-decoration: underline;">I<strong>N-PERSON</strong></span>, register for an "In-Person Attendee" ticket. Please be prepared to provide proof of vaccination and to wear a mask. See you on campus at the <a href="https://goo.gl/maps/R8BxjeFhDSeaCgJJ9">Verizon Executive Educaiton Center, 2 W Loop Rd, New York, NY 10044</a>

&nbsp;

To attend this session <strong><span style="text-decoration: underline;">VIRTUALLY</span></strong>, register for a "virtual attendee" ticket.
<h4></h4>
<h4>Join us after the event!</h4>
All in-person attendees are invited to join us for a<strong> closing reception</strong> at <strong>Granny Annie’s Bar &amp; Kitchen</strong>, 425 Main St, New York, NY 10044 (on Roosevelt Island).

We look forward to seeing you!

Cornell Tech Urban Tech Hub

2022

NYC Planning's Data Engineering team year in review

NYC Planning's Data Engineering team continues to innovate and refine its existing infrastructure and data products, and work on new projects. This past year we broadly adopted GitHub Actions, incorporated 2020 census data, improved the data quality of core datasets, explored the viability of establishing a cloud based data ecosystem, and started to broaden our scope to enhance the work of other teams within DCP. During this presentation we'll give an overview of some of the core work we've done in 2021, introduce our new team members, and outline the work we have planned for 2022.

Amanda Doyle, NYC Department of City Planning (DCP)

2022

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Open contracting underpins smart cities – the why and how

Cities run on public contracts. Open contracting is about city administrations working with businesses and civil society to use the power of open data to transform public procurement - to deliver better goods, services, and public works for everyone. And, nearly two-thirds of public procurement spend is handled by cities or other sub-national entities (OECD).

The G20 Global Smart Cities Alliance developed an Open Contracting Model Policy that aims to provide cities with the ideas, methodologies, and tools needed to explore and embed open contracting in public procurement. We will present 'the why and how' behind this policy using examples from around the globe, including contracting data sets on NYC Open Data. We'll also use global examples related to infrastructure spending, which is becoming increasingly relevant as money from the U.S. Federal infrastructure bill starts to be dispersed across the nation.

Open Contracting Partnership

2022

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Data Cleaning Techniques

You've got your data loaded, you start on your analysis, and… WHAM, missing values. WHAM, junk entries. WHAM, capitalization inconsistencies.

Data cleaning often feels like a chore, and we will often do as little as necessary. What if we took a more systemic approach? In this hands-on workshop, we'll explore some common data issues to look for, tools, and techniques for cleaning it up, giving us better understanding of our data in the process and clearing the path for smoother data analysis and manipulation.

The session will be led by <a href="https://api.afeld.me/">Aidan Feldman</a>, who has been a technologist working with government and non-profits for the past seven years. He also teaches about code and data to public policy students at NYU.

Aidan Feldman

2022

Class / Training

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Checkbook NYC Advanced Searches

This will contain an overview of the  Smart Search, Advanced Search, Narrow Down Faceted Search and Datafeeds search mechanisms within Checkbook (https://www.checkbooknyc.com/). The objective of this session is to expand user understanding of what type of search technique is best suited for your query. We will use some sample searches and take actual user examples to understand how to refine your inquiry. We will also review how to gain insight from the contract detail pages.

New York City Comptroller's Office

2022

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Covid-19 Data Standards in Local and Global Contexts

At the beginning of the pandemic, the need for transparency was clear and evidenced in the rapid uptake of data visualizations by governments and media to communicate disease statistics and public measures. However, a lack of coordination has left it difficult for us to compare the situation from one country to another. Driven by testimonials from the Open Data Charter Adopter Network and across the global open data community, we developed a data taxonomy for pandemic preparedness to address gaps in data infrastructure.

With support from the Development Bank of Latin America development bank (CAF), the Open Data Charter partnered with the Center for Sustainable Development (CDS) to create the first version of a COVID-19 Taxonomy, which has now seen the light for a couple of months now. In this session we share the process and experiences of creating the taxonomy, and discuss opportunities to expand on this work.

We hope this framework (available in <a href="https://docs.google.com/document/d/12mW3EInANj6m7DKz60dwONvutk95r5_KPuFll-AnFok/edit?usp=sharing">English</a> and <a href="https://docs.google.com/document/d/1GcsR_vuuOSMS53BX-Qy72di0dbz9j_ubwCe2rFKVqs8/edit?usp=sharing">Spanish</a>) can act as the foundation towards building greater consistency around pandemic data release, and flag areas for better cooperation and standardization within and between governments and communities around the world.

Open Data Charter

2022

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Open Data for Urban Forestry: From 311 to LIDAR

Street trees are one of the most important forms of infrastructure for cities facing rising temperatures from climate change. But we know relatively little about trees and the benefits they provide. During this session, we'll learn about projects that exploit open data such as 311 service requests to citywide LIDAR surveys improve our understand of New York City street trees, the work of caring for them, the their role in urban communities.

This session is organized by Cornell Tech's <a href="https://urban.tech.cornell.edu">Urban Tech Hub</a>.

<strong>Moderated by: </strong>Anthony Townsend

<strong>Presentations by:</strong>
<ul>
<li>Nikhil Garg</li>
<li>Alex Kobald</li>
</ul>

Cornell Tech Urban Tech Hub

2022