The Uptake.org Data Fellows program is a six-month fellowship designed to connect data professionals at non-profits, foundations, and social enterprises to experts in data science and security. The fellowship begins with a week in Chicago where fellows meet with mentors, participate in workshops on topics in data science or security, and network with like-minded data-for-good professionals.
At social sector organizations, there’s often only one “data person” responsible for managing the organization’s data. Many are self-taught without much training or support from their resource-strained organizations. At Uptake.org, we aim to change that. We provide data-for-good professionals with the tools and community they need to solve big problems in the social sector.
Our Data Fellows program now has two tracks; Data Science and Data Security. Our Data Science fellows are focused on developing skills in machine learning and data product development; they’re trying to find ways to gain insight and build tools with data. Our Data Security fellows are focused on how to protect the sensitive data their organizations manage; they’re trying to ensure their systems, tools and operations are as secure as possible while overcoming the lack of resources or experience required to face today’s cyber threats.
The fellowship is for experienced data leaders employed by nonprofits, social enterprises, and government agencies who want to improve their data science or security knowledge, skills and methodologies.
We provide ongoing coaching and mentoring from Uptake’s core team as well as advisors from Uptake partners based on fellows’ needs, skills and preferences.
You’ll join a network of data leaders and connect with other professionals in the “data for good” ecosystem.
Uptake selects and mentors a cohort of Data Fellows biannually. The fellowship kicks off with a week of workshops,mentor meetings, and networking in Chicago and continues remotely for six months.. Fellows then re-convene for a Fellow Showcase Day in Chicago. Each fellow is expected to work on a project during the course of the fellowship, although we stress that this fellowship is primarily about skill development.
Fellows are matched with at least three experts from the Uptake team and from Carnegie Mellon University based on their needs. Mentor teams are data scientists, engineers and strategy gurus.
Fellows arrive for a week of workshops, networking events and one-on-one mentorings. Workshops include Agile Development in Data Science, Predictive Models in R, Protecting IoT, Hacking and Hunting, and more.
Mentors and fellows check in regularly for six months to continue their conversations and support that began in Chicago.
Fellows return to Chicago to present the progress they’ve made over the course of the fellowship to their mentors and to the incoming class of new fellows.
Data Science Fellows
We’re looking for data scientists, analysts, and leaders at nonprofits, social enterprises, or government agencies that’ve been operating for two years or more. While your organization is sure to interest us, most of this fellowship centers on helping you grow as an individual.
We want individuals who:
Data Security Fellows
With this new program, we’re looking for individuals tasked with ensuring the data your organization collects and manages is properly secured. While your organization is sure to interest us, most of this fellowship centers on helping you grow as an individual.
We’re seeking security leaders who:
National Council for Voluntary Organisations
Canadian Urban Institute
American Red Cross
Skid Row Housing Trust
Los Angeles, CA
412 Food Rescue
Cook County Health & Hospitals Systems
New York City Department of Education
New York, NY
Northern Rangelands Trust
San Francisco, CA
Noble Network of Charter Schools
Benefits Data Trust
Coordination of Healthcare for Complex Kids Program
Cesar Chavez Multicultural Academic Center
Koe Koe Tech
Chicago Transit Authority
UNHCR — UN Refugee Agency
City of Chicago
San Francisco, CA