Tag: Health

DataKind started 2024 with an ambitious goal: to create an open-access tool populated with data at a hyperlocal level that would foster a deeper understanding of community needs and the complex factors influencing them. Working with collaborators representing many facets of health and wellbeing, DataKind launched the community health indicators software, a tool which enables social service providers, practitioners, policymakers and community stakeholders to access standardized data on their communities of impact and take meaningful action. This resource harmonizes and makes accessible 11 different public data sources of community data at three geographic levels (tract, zip, and county), with 49 unique data indicators drawing from a database of six million rows of data. Users have the option to create a free, secure individual or team account and upload and analyze additional datasets alongside the data included. Users can export analysis, including maps, from the system. This free and open software makes data insights accessible to any end-user regardless of data maturity.

This session will discuss the community-centered software design process, demonstrate the software with several use cases, and offer a rich, facilitated conversation with end-users of the software from social impact and governmental institutions. We will provide an introduction to question formulation, asset mapping, and data interpretation.

Attendees can submit their data questions here for use in the session or for future follow-up: https://forms.gle/TsWfe4Dses3jzVHm8

Graphic with bright orange background and white text that reads School of Data.

NYC School of Data is a community conference that demystifies the policies and practices around open data, technology, and service design. This year’s conference helps conclude NYC Open Data Week and features 30+ sessions organized by NYC’s civic technology, data, and design community! Our conversations and workshops will feed your mind and inspire you to improve your neighborhood.

To attend, you need to purchase tickets. The venue is accessible, and the content is all-ages friendly! If you have accessibility questions or needs, please email us at schoolofdata@beta.nyc.

Thank you to Reinvent Albany and Esri for helping to cover conference costs and making it possible to meet in 2025.

And If you can’t join us in person, tune into the main stage live stream provided by the Internet Society New York Chapter. Follow the conversation #nycsodata on Bluesky.

Purchase your tickets here.

Annually, NYC community-based organizations and the City government work to supply millions of pounds of food directed toward people in need through the Community Food Connection Program. Determining how to distribute limited resources to where they are needed the most, the City leverages data-driven approaches to bring food to those in need using the Supply Gap Analysis. In this workshop, you’ll learn how data insights can shape decision-making, collaboration and support organizers like you to make more informed decisions that facilitate food security for our communities.

Led by the NYC Mayor’s Office of Food Policy, this session will include guests from the Mayor’s Office for Economic Opportunity & Community Food Connection Administrators, whose work supports over 700 food pantries and soup kitchens across the city, leveraging insights from the supply gap analysis in areas of unmet need.

Ideal for food security advocates, academics, students, data analysts and others interested in food-related issues and data, the workshop will provide answers to questions about neighborhood food security metrics, how need for emergency food is defined and measured, and how to leverage the dataset to support neighborhood and/or organizational strategies to close the gap. You will have a chance to interact with the Emergency Food Supply Gap dataset using NYC Open Data tools to pose your own strategic insights to support food security.

The Health Department provides interactive visualization tools, downloadable datasets, and rigorous research on New Yorkers’ health. Learn how to use these resources to support your own research, and to inform advocacy, programming, and policy.

Resources covered include:
* EpiQuery
* Environment and Health Data Portal                             
* Community Health Profiles
* NYC Open Data datasets from the Health Department
* Data pages on Covid-19 and Vital Statistics

A hour-long virtual seminar where master or Ph.D. students in Biostatistics at the NYU School of Global Public Health (GPH) will present ongoing research into New York City. The speakers’ list and title of their talks are (with a brief description for each):
– NATHANIEL MAXEY (A QUASI-EXPERIMENTAL STUDY OF NEW YORK CITY’S SODIUM WARNING REGULATION AND HYPERTENSION PREVALENCE, 2005-2020):
– In 2015, New York City required chain restaurants to label high-sodium menu items to raise awareness of health risks like high blood pressure and heart disease. This study analyzed community health data from 2005 to 2020 to assess whether hypertension rates changed after the regulation took effect in 2017.
– ZHIYUAN NING (RELATIONSHIP BETWEEN CYCLING AND THE PREVALENCE OF HYPERTENSION AMONG ADULTS IN NEW YORK CITY):
– Hypertension affects nearly half of U.S. adults, but regular physical activity, like cycling, may help manage blood pressure. This study analyzed New York City health data and found that people who cycle more frequently are less likely to have hypertension, highlighting cycling as a potential non-medication approach for blood pressure control and public health policy. (Data: NEW YORK CITY COMMUNITY HEALTH SURVEY)
– ANNIE QIU (ANALYZING POTENTIAL DIFFERENCES FROM INPATIENT AND OUTPATIENT SATISFACTION AMONG SEXUAL ORIENTATION AND GENDER MINORITY (SGM) ONCOLOGY PATIENTS BETWEEN 2021-2023 IN A LARGE SINGLE-CENTER, RESEARCH-ORIENTED, URBAN CANCER CENTER OF THE UNITED STATES NORTHEAST):
– This study aims to assess the experiences of sexual orientation and gender minority (SGM) oncology patients using HCAHPS and Press Ganey surveys to evaluate inpatient and outpatient care quality. By analyzing survey responses from 2021 to 2023 at a major urban cancer center, the study will use factor analysis, POMP scoring, and multiple regression to identify predictors of patient satisfaction, ultimately informing institutional improvements and addressing disparities in SGM patient care. (Data: HCAHPS questionnaire)
– ANGEL SINGH (TIMING OF NONCARDIAC SURGERY AND PERIOPERATIVE MAJOR ADVERSE EVENTS AFTER CARDIOVASCULAR INTERVENTIONS):
– Patients with heart disease face significant risks when undergoing noncardiac surgery, especially after recent heart procedures like stent placement or valve repair. This study examines the safest time to schedule surgery after these interventions and evaluates the risk of major heart complications at different time intervals, helping improve surgical guidelines and patient outcomes.
– ADEEBA TAK (ENERGY USAGE, ENERGY EFFICIENCY & GREENHOUSE GAS EMISSIONS IN NEW YORK CITY BUILDINGS)
– New York City’s buildings account for nearly two-thirds of its greenhouse gas emissions, contributing to air pollution and climate-related risks. Using machine learning models, this study analyzes energy usage and forecasts emissions in new constructions, highlighting the urgent need for stronger sustainability measures and improved energy policies.