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[av_heading heading=’Data Science Fellowships for Non-profits’ tag=’h1′ link_apply=” link=’manually,http://’ link_target=” style=’blockquote modern-quote’ size=” subheading_active=’subheading_below’ subheading_size=’18’ margin=” padding=’10’ color=’custom-color-heading’ custom_font=’#ffffff’ custom_class=” admin_preview_bg=” av-desktop-hide=” av-medium-hide=” av-small-hide=” av-mini-hide=” av-medium-font-size-title=” av-small-font-size-title=” av-mini-font-size-title=” av-medium-font-size=” av-small-font-size=” av-mini-font-size=” av_uid=’av-12n3qk7′]
We offer fellowships for non-profits working on humanitarian issues. Use the power of data science for good.
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[av_heading heading=’Why offer a fellowship to non-profit employees?’ tag=’h2′ link_apply=” link=’manually,http://’ link_target=” style=” size=” subheading_active=” subheading_size=’15’ margin=” margin_sync=’true’ padding=’10’ color=” custom_font=” av-medium-font-size-title=” av-small-font-size-title=” av-mini-font-size-title=” av-medium-font-size=” av-small-font-size=” av-mini-font-size=” av_uid=’av-k0gzequr’ custom_class=” admin_preview_bg=”][/av_heading]

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We believe data-driven insights can help non-profits working in the areas of women’s education and health, keeping kids in school, relief and disaster work and more. Unlike for-profit companies, non-profit organizations often do not have the resources to train their employees on cutting-edge data science skills in their day-to-day work. Data Science Dojo started this non-profit fellowship make a small contribution to educating non-profit organizations in the latest data science skills.

We started this fellowship program as a ‘student and non-profit fellowship’. There was a growing realization that the brightest minds of our generation are working on making people click on online ads, social media posts and videos. Most of the attendees coming to our data science bootcamp were coming from for-profit companies.

We firmly believe that data science skills can be used for making a social impact. Check out this talk on AI for Social Good.
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We offer fellowships to non-profit professionals dedicated to using data science to improve lives. Fellows are not required to become data scientists. Instead, they use the skills that they develop at our bootcamp to: enhance their research projects, increase efficiency, and highlight how data can help society.

Unlike other fellowships, Data Science Dojo fellows:

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At the end of the bootcamp or Online Data Science Certificate program, you will participate in a short interview describing your experience at the bootcamp and how you plan to apply data science in your future work.

You will write a blog post about how you plan to apply data science skills in your current non- profit work
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using the power of data science for…

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research and treatment for physical and mental wellbeing
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conservation and restoration of natural resoucres and habitats
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promoting social justice, education, public welfare and more
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[av_heading heading=’ Frequently Asked Questions ‘ tag=’h2′ link_apply=” link=” link_target=” style=’blockquote modern-quote modern-centered’ size=’40’ subheading_active=’subheading_below’ subheading_size=’17’ margin=” padding=’10’ color=” custom_font=” custom_class=” admin_preview_bg=” av-desktop-hide=” av-medium-hide=” av-small-hide=” av-mini-hide=” av-medium-font-size-title=” av-small-font-size-title=” av-mini-font-size-title=” av-medium-font-size=” av-small-font-size=” av-mini-font-size=” av_uid=’av-1l36mpj’][/av_heading]

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You must be employed at a non-profit organization, or make a strong case (backed up by your resume) as to how your current work will serve social good.

Post-doctoral researchers are also welcome to apply, but preference is given to non-profit employees.
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We select outstanding candidates with a passion for data science and a track record of community service.

Preference is also given to applicants that have clear goals about how to use data science to give back to their communities.
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We select fellows once per quarter. This is done on a “rolling deadline” basis, meaning that we will review applications in the order that they are submitted to us. Even if you apply in a different quarter, you may still be considered for the next quarter.

Selected fellows will be notified 3-4 weeks prior to the bootcamp.
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Applicants are encouraged to submit their fellowship application at least one month prior to their targeted bootcamp. For example, if you  want to go to the Seattle bootcamp starting March 28, you should apply before February 28.

If you are not selected for your targeted bootcamp, you remain eligible for the next bootcamp in your area. For example, if you are not selected for the March 28 Seattle fellowship, you remain eligible for the next Seattle bootcamp fellowship.
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At the end of the bootcamp, we ask our fellows to write a blog post describing their experience at the bootcamp and how they plan to apply their learning in the respective industry. Fellows are also encouraged to use social media during the bootcamp to describe their experience.

We also like to stay connected to Data Science Dojo fellows. 3-6 months after the bootcamp, we will ask you to explain how you used data science to solve any problems, especially those related to social good.
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If you are not selected for a fellowship, your application remains active. We will consider it again for the next fellowship selection.

You can also consider a paid bootcamp. Early bird prices start at $2,399. There is  also flex-pay, where you pay for the bootcamp over the course of year (interest free!).
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If you are selected as a fellow, Data Science Dojo may use your biographical/professional information on their corporate website, social media channels and outlets.
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Jacky Sawyer

Director of Data Services at Breaking Ground
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Rebecca Chapman

Program Manager at Equal Access International
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Shaena Montanari

Newton International Fellow at the University of Edinburgh
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Shaun Patel

Research Fellow at Harvard Medical School and Massachusetts General Hospital
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Shaun’s research is focused on understanding how neurons encode and process information to produce complex cognition and behavior. Shaun plans to apply the tools and skills learned in the bootcamp to rapidly prototype and deploy predictive analytics to distill complex patterns of neurophysiological activity into meaningful measures that can be used to strengthen our understanding of cognition and improve therapies to treat neurodegenerative and psychiatric illness.
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Wang Zhan

PhD in Environmental Engineering and Water Resources at Princeton University
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(Joyce) Wang’s research focuses on impacts of climate change and remote sensing of hydrologic systems. She wants to use the skills developed at the bootcamp to improve the estimation of hydrological and meteorological variables using data analytics and machine learning techniques.
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Emilia Gan

PhD in Pathobiology at the University of Washington
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Emilia’s research in Dr. Tim Rose’s lab at Seattle Children’s Research Institute involves managing and analyzing large sets of high throughput sequencing data. She plans to use the tools she learned at Data Science Dojo to help her team understand the changes produced in both viral and host cell gene expression when cells are infected with Kaposi’s Sarcoma-associated Herpes virus, the virus associated with the most common form of cancer affecting HIV+ patients.
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Michael DAndrea

Technology Program Manager – Data Science and Products at Sustainability Accounting Standards Board
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Michael manages and analyzes large, diverse and unstructured sustainability datasets for trends that support the greater disclosure of sustainability information for the public. He plans to use the knowledge and skills learned from the bootcamp to scale SASB’s machine learning pilot program, develop prediction models, and leverage big data cloud storage and compute resources.
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Ting Gao

PhD in Applied Math at Illinois Institute of Technology
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Ting’s research focuses on generating efficient algorithms for computing complex nonlinear systems and devising new techniques for uncertainty quantification on non-Gaussian data. She hopes to use what she learns in this workshop to do magic with big data: to gain more information hidden behind data during her future data analysis work.
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Noah William Burbank

PhD Candidate in Decision Analysis at Stanford University
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Noah’s research project revolves around helping individuals, institutions and governments make better decisions by subjecting the field of decision analysis to philosophical scrutiny. His hope is to make decision analysis clearer and better connected with the humanities and to produce empirically testable theories that ground decision analysis in reality.
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Christina Huang

Assistant Policy Analyst at RAND Corporation
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Christina works on population health and health services research, trying to understand health risk behaviors and identify levers for positive behavior change. With the tools learned in the bootcamp, she hopes to use big data to serve the public through policy research that informs social and health policy decision-making.
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