Daniel Jarratt
San Diego, California, United States
6K followers
500+ connections
About
Innovative program leader with a proven track record building, directing, and funding…
Activity
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Apply to be head of product strategy at Wikimedia, focusing on Wikidata and the linked open data portfolio! This is one of the most important…
Apply to be head of product strategy at Wikimedia, focusing on Wikidata and the linked open data portfolio! This is one of the most important…
Shared by Daniel Jarratt
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One of our wonderful collaborators, Dorottya (Dora) Demszky, is hiring for a Research Project Manager! This is a really cool role and a great…
One of our wonderful collaborators, Dorottya (Dora) Demszky, is hiring for a Research Project Manager! This is a really cool role and a great…
Liked by Daniel Jarratt
Experience
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Learning Engineering Virtual Institute
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Education
Publications
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Re-envisioning a K-12 Early Warning System with School Climate Factors
Proceedings of the Ninth ACM Conference on Learning@Scale
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Toward more effective and equitable learning: Identifying barriers and solutions for the future of online education
Technology, Mind, and Behavior
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Improving Online Education Through Technology, Research, And Data
National Science Foundation workshop report
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How Can Learning Management Systems Be Used Effectively to Improve Student Engagement?
Center on Reinventing Public Education
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Machine-learned School Dropout Early Warning at Scale
The 12th International Conference on Educational Data Mining
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"Where far can be close": Finding distant neighbors in recommender systems
Proceedings of the Workshop on Location-Aware Recommendations co-located with the 9th ACM Conference on Recommender Systems
Location and its corollary, distance, are critical concepts in social computing. Recommender systems that incorporate location have generally assumed that the utility of location-awareness monotonically decreases as entities get farther apart. However, it is well known in geography that places that are distant "as the crow flies " can be more similar and connected than nearby places (e.g., by demographics, experiences, or socioeconomic). We adopt theory and statistical methods from geography to…
Location and its corollary, distance, are critical concepts in social computing. Recommender systems that incorporate location have generally assumed that the utility of location-awareness monotonically decreases as entities get farther apart. However, it is well known in geography that places that are distant "as the crow flies " can be more similar and connected than nearby places (e.g., by demographics, experiences, or socioeconomic). We adopt theory and statistical methods from geography to demonstrate that a more nuanced consideration of distance in which "far can be close " that is, grouping users with their "distant neighbors"-moderately improves both traditional and location-aware recommender systems. We show that the distant neighbors approach leads to small improvements in predictive accuracy and recommender utility of an item-item recommender compared to a "near by neighbors" approach as well as other baselines. We also highlight an increase in recommender utility for new users with the use of distant neighbors compared to other traditional approaches.
Other authorsSee publication -
Alone: Voices in the Stillness...A Film on the Child in Religion and Ethics
National Conferences on Undergraduate Research
Academic project research assistant with an internationally-known author and theologian. Edited and wrote for significant volumes on children in religion and ethics. Traveled to major international conferences on theology in Chicago and Washington, D.C. Filmed and interviewed ethicists, theologians, and a U.S. Senator for a related feature-length documentary; premiered San Francisco (2007).
Projects
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Sports rankings and predictions
One of my college football ranking statistical models was a small part of the official National College Football Playoff selection process for two years. I presented on my work several times at MinneAnalytics and its SportCon conference.
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Wikimedian
I’ve contributed more than 130,000 edits and photos to Wikipedia, Wikimedia Commons, and Wikidata (a knowledge graph database). My photos have been used by universities, transit planners, the U.S. Department of State, and viewed more than 8.6 million times on Google Maps.
Honors & Awards
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Featured in White House Education Datapalooza keynote
White House and US Department of Education
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Winner of ed-tech College Knowledge Challenge
Bill & Melinda Gates Foundation, College Summit, Facebook, and the King Center Charter School
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Top 10 in 2012 Innovation Incubator
Software and Information Industry Association
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Brauer Museum of Art Award
Valparaiso University Brauer Museum of Art
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Outstanding Leadership and Service Award
Valparaiso University
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Lumina Award for Academic Excellence
Valparaiso University College of Arts and Sciences
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Honors Thesis Best of College
Valparaiso University Honors College
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Valparaiso University's highest merit-based scholarship
Valparaiso University
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Eagle Scout
Boy Scouts of America
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Robert C. Byrd Honors Scholarship
U.S. and Wisconsin Departments of Education
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Future City Competition 3rd place nationally
National Engineers Week
Organizations
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ACM, the Association for Computing Machinery
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American Educational Research Association
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Boy Scouts of America
Eagle Scout
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Phi Beta Kappa
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