Senior Machine Learning Engineer at DrivenData. He holds a BS in Operations Research from the U.S. Coast Guard Academy, and spent seven years as a Coast Guard officer serving in a variety of operational and quantitative roles. Katie holds a Master of Development Practice from the University of California, Berkeley, where she focused on data science for social good. She graduated magna cum laude from Princeton opportunities — all with an eye to your core objectives. for use on the front lines. Foundation, Stanford Center for International Development, and Brookings Institution. He earned his BA in English and East Asian Studies from Northwestern University in 2005. Shows that the provision of seemingly universal public goods is shaped by electoral priorities. Approaches include: Deep learning, computer vision, transfer learning, public playbook. In sum, this book offers researchers and students working on issues related to internet communication not only a thorough and up-to-date treatment of online privacy and the social web. In Boston, an algorithm helps determine “problem properties” where the city can target interventions. Emily holds a master's in International Development from The New School and a data Approaches include: Interactive dashboarding, GIS analysis, Tableau. Inferred information about what farmers are growing using daily satellite images, at a fraction of the ongoing cost of collecting this information in person, to promote financial inclusion through services like input loans or crop insurance. Isaac holds a master's in Computational Science and Engineering from Harvard’s We have deep roots in software engineering. By Peter Bull (co-founder, DrivenData). Automated recognition of agricultural entities (such as crops, pests, diseases, and chemicals) in WhatsApp and Telegram messages among plant doctors, enabling new ways to surface emerging trends and improve science-based guidance for smallholder farmers. Sherrie Wang Ciriacy-Wantrup Postdoc, UC Berkeley Verified email at berkeley.edu. Each capstone features a real-world dataset that focuses on an important issue in the social sector. She graduated summa cum laude from Washington University in St. Louis. Peter: Thanks, Hugo. We conduct top to bottom the problem solving global. The main goal of this book is to provide information about the different anesthetic agents used in experiments, and the proper standards to follow when using anesthetics on lab animals. • New edition provides new information on anesthesia ... Found inside – Page iThis collection of papers addresses alternative assets and cryptocurrencies from economic, financial, statistical, and technical points of view. DrivenData works on projects at the intersection of data science and social impact, in areas like international development, health, education, research and conservation, and public services. compete in finding the very best mathematical models, often pushing solutions to the Get certified as a professional data scientist and find your dream job. Need to run a competition with your own style, branding, or on San Francisco Bay Area. She previously worked at the Bill & Melinda Gates budget. 07812 635845 Southampton. The Registered Agent on file for this company is Christine Chung and is located at 85 Stowell Rd., Bedford, NH 03110. Peter holds a master's in Computational Science and Engineering from Harvard’s He previously worked as a software engineer at Microsoft and earned a bachelor’s in philosophy from Yale University. previously worked at Loon (Google X), Tableau Software, International Development Group, Peter is a co-founder at DrivenData, whose mission is to bring the power of data science to the social sector. Peter has 2 jobs listed on their profile. green-tech startup Blu Homes. Washington, DC 20433. Found inside – Page 572... Malaysia, November 11-13, 2009 Proceedings Halimah Badioze Zaman, Peter Robinson, ... J., Hong, W.: Model-Driven Data Acquisition in Sensor Networks. Found insideThis is an overview of the end-to-end data cleaning process. Katie holds a Master of Development Practice from the University of California, Berkeley, where she focused on data science for social good. March 25 th –27 th, 2019, Stanford University Lane History Corner (Bldg. He previously worked as a software engineer at Microsoft and earned a BA in philosophy from Yale University. November 2, 2018: Submissions due to organizers (unless otherwise noted) 2. Aaron Schur), and DrivenData (Peter Bull and Greg Lipstein), without whom the project described herein would not have been possible. ... At DrivenData, they want to bring cutting-edge practices in data science and crowdsourcing to some of the world's biggest social challenges and the organizations taking them on. We provide the technical expertise and manage effective data science projects That's exactly what Jules Polonetsky, Omer Tene, and Evan Selinger do. They bring together diverse views from leading academics, business leaders, and policymakers to discuss the opportunities and challenges of the new data economy. Startup’s goal: Stop food safety violations before they happen. Peter Bull. Found inside – Page 310Volume 2 Michael Gruneberg, Peter E Morris. Bishop, D.V.M. and Robson, ... 62 Carey, S. 98 Cariglia-Bull, T. and Pressley, M. 83 Carlsmith, J.M. et al. The team also works directly with organizations, … Roy F. Baumeister University of Queensland Verified email at uq.edu.au "Martin Seligman" University of Pennsylvania Verified email at psych.upenn.edu. Approaches include: Deep learning, computer vision, transfer learning, data science competition, crowdsourced data annotations, open source software. He earned a B.S.E. and Population Services International. All Rights Reserved. University of Chicago, where she served as a Mayoral Fellow with the City of Chicago. Presents case studies and instructions on how to solve data analysis problems using Python. Executive Operations 1 email found . Massachusetts at Amherst. This book trains the next generation of scientists representing different disciplines to leverage the data generated during routine patient care. If you ended up here, you may be more interested in DrivenData. A timely book containing foundations and current research directions on emotion recognition by facial expression, voice, gesture and biopotential signals This book provides a comprehensive examination of the research methodology of ... Roundtable on Data Science Postsecondary Education: A Compilation of Meeting Highlights. This volume contains 93 revised full papers, from a total of 281 presentations at the conference - carefully reviewed and selected from 832 initial submissions. Built algorithms that put apples-to-apples labels on school budget line items so that districts understand how their spending stacks up and where they can improve, saving months of manual processing each year. science certificate from Metis. View Peter Bull’s profile on LinkedIn, the world’s largest professional community. Approaches include: Machine learning challenge, natural language processing (NLP), open data, alternative data sources. Before DrivenData, he was a lead data scientist at Uptake, where he used machine This book is the new definitive reference on electroconvulsive and neuromodulation therapies. Additionally, the authors gratefully acknowledge the helpful comments of Benjamin Edelman, Anthony Goldbloom, Mitchell Weiss, and especially Susan Athey, Found insideThis book constitutes the post-conference proceedings of the 5th International Conference on Machine Learning, Optimization, and Data Science, LOD 2019, held in Siena, Italy, in September 2019. Peter Bull DrivenData Verified email at drivendata.org. What can you do with your data? is changing what organizations can do. job done right. and quickly deliver solutions to the field. and Aerospace Engineering from Princeton University. In recent years, the science of managing and analyzing large datasets has emerged as a critical area of research. Found inside – Page iThe books summarises and conceptualises ideas of this relatively young discipline for an audience of computer scientists and physicists from a graduate level upwards. Introducing Peter Bull Hugo: Hi there, Peter, and welcome to Data Framed. iteratively, working closely with your team to design modern web applications and Christine holds a master's in Computational Analysis and Public Policy from the He was previously the Head of Research at CargoMetrics, a maritime data science company, where he led their quantitative finance team. I'm happy to be here. He holds a BS in Operations Research from Peter Bull Data Scientist for Social Good. the U.S. Coast Guard Academy, and spent seven years as a Coast Guard officer serving Found insideReproducibility and Replicability in Science defines reproducibility and replicability and examines the factors that may lead to non-reproducibility and non-replicability in research. Greg holds an MBA from Harvard Business School. She earned her BA in Social Thought and Political Economy from the University of Peter Bull is the co-founder of DrivenData, which focuses on data science and engineering. learning to predict failures of industrial machines. Before DrivenData, he was a lead data scientist at Uptake, where he used machine learning to predict failures of industrial machines. Build a model that can automatically detect honey bees and bumble bees in images. Previously she worked with the Human Rights Campaign, Americorp’s American Conservation Experience, and the White House Office of Science and Technology Policy. 200), Rm. Something we hear all the time: “I get that my data can help me. Found inside – Page iThis book constitutes extended, revised and selected papers from the 20th International Conference on Enterprise Information Systems, ICEIS 2018, held in Funchal, Madeira, Portugal, in March 2018. This book is therefore of considerable interest to all students of biomedical informatics, from the newcomer to the professional informatician. packed plate. Found insideKeeping it fresh: Predict Restaurant Inspections—Competition from Yelp in Driven Data Sources: Peter Bull, Isaac Slavitt, and Greg Lipstein, ... Suggested Citation:"Appendix B: Meeting Participants." This groundbreaking book defines the emerging field of information visualization and offers the first-ever collection of the classic papers of the discipline, with introductions and analytical discussions of each topic and paper. robust and maintainable approach to help you make better decisions. Translated advances in machine learning research to practical software for clinical settings, building an open source application through a new kind of data challenge. For the thorniest predictive modeling problems — particularly Also pictured are co-founders Greg Lipstein (left) and Peter Bull (center). engineer at Microsoft and earned a BA in philosophy from Yale University where he met Free DataCamp access for schools and universities. Oakland, CA. Contribute to drivendata/data-science-is-software development by creating an account on GitHub. Peter Bull, co-founder at DrivenData, will speak on the ways in which statistics, computer science, and machine learning can be applied to the challenges in the social sector. Approaches include: Data challenge, deep learning, open source software, computer vision, predictive modeling, computer-aided diagnosis. doi: … Tammy holds a master’s in Computational Analysis and Public Policy from the University Peter Bull - President of two companies . Greg Lipstein, DrivenData Peter Bull, DrivenData Charles Hornbaker, DrivenData David LeDuc, Bonnie J. Addario Lung Cancer Foundation Andrea Parks, Bonnie J. end-to-end. Welcome to bull.pe/ter! theoretical boundary between signal and noise. Casey holds a PhD in Electrical Engineering from Boston University's College of Recently he has worked on projects in smart school budgeting, predicting trends in women's healthcare, and improving public services by using novel data sources. The company's filing status is listed as Good Standing and its File Number is 850204. Peter Bull. Using data to drive understanding means taking it out of tables. Prior to that he worked with the Clinton Foundation in Papua New Guinea and West Africa. Bull holds a master's in Computational Science and Engineering from Harvard’s School of Engineering and Applied Sciences. Teddy Schindler Found insideThe HiNC2 conference attempted to help in this endeavor. This book constitutes the refereed post conference proceedings of the Second IFIP WG 9.7 Conference on the History of Nordic Computing, HiNC 2, held in Turku, Finland, in August 2007. Found inside – Page iiiThis book is about recent research in the area of profiling humans from their voice, which seeks to deduce and describe the speaker's entire persona and their surroundings from voice alone. University. Do you have a vision for what’s possible with the right team? We work thoughtfully to minimize the Approaches include: Human-centered design + data science, exploratory analysis, interactive visualization, rapid prototyping. This makes reproducibility and collaboration essential to success,” said Peter Bull, co-founder of DrivenData. Visualized the flow of fair trade coffee products from the farms where they are grown to the stores where they are sold, connecting the nodes in supply chain transactions and increasing transparency for customers and auditors. The impact of a data competition shouldn’t end when submissions close. At DrivenData all of the prize-winning solutions from past competitions are openly available on GitHub for anyone to learn and build from. We work flexibly with our partners to translate business goals into the This book presents an overview on the results of the research project “LOD2 -- Creating Knowledge out of Interlinked Data”. It is a Python project that generates a checklist of common concerns for data oriented projects at the various stages of the lifecycle where they should be considered. School of Engineering and Applied Sciences. Mike holds a master's in International Business from Tufts University. Analyzed millions of mobile money records to uncover patterns in behavior, and then combined these insights with human-centered design to shape new approaches to delivering mobile money to low-income populations in Tanzania. We know that bringing in outside help can add time and worry to an already Over 40 data do-gooders came to see Peter Bull of DrivenData deliver a wonderful talk titled Crowdsourcing Data for Good. By Peter Bull, (DrivenData), Nov 2014 As we begin launching our first competitions, we thought it would be a good idea to lay out what exactly we're trying to do and why. Detected wildlife in video footage—automatically and at scale—by running a global algorithm development challenge and building an open source application with the winning solution (Project Zamba). Approaches include: Private data challenge, regression analysis, predictive modeling, data science education. project scope and technical approach that’s the best fit for their needs and their Pandas for Everyone brings together practical knowledge and insight for solving real problems with Pandas, even if you’re new to Python data analysis. He previously worked as a software engineer at Microsoft and earned a bachelor’s in philosophy from Yale University. carry out your mission more effectively in a resource constrained environment. Found insideThis volume addresses context from three comprehensive perspectives: first, its importance, the issues surrounding context, and its value in the laboratory and the field; second, the theory guiding the AI used to model its context; and ... He earned his master's in Computational Science and Engineering from Harvard’s School of Engineering and Applied Sciences. expect. Your personal in-browser tool to write, run, and share your data analysis. Important Deadlines 1. Peter Bull DrivenData Verified email at drivendata.org Sherrie Wang Ciriacy-Wantrup Postdoc, UC Berkeley Verified email at berkeley.edu Andrew Reece BetterUp, Inc.; Harvard University Verified email at … Technology, where he studied computational fluid dynamics and optimal flow control. He earned a B.S.E. Robert holds a PhD in Neuroscience from the University of California, Berkeley. Covering innovations in time series data analysis and use cases from the real world, this practical guide will help you solve the most common data engineering and analysis challengesin time series, using both traditional statistical and ... know that overly complicated solutions can be hard to support, so we’ll find the most burden on our partners and deliver well-designed, accessible solutions that your team DrivenData 7 has worked on more than 50 projects with nonprofits, social enterprises, and corporate social responsibility groups, Bull explained, and it tries to figure out how to solve organizations’ problems with machine learning or data science tools, using the data assets that they already have. previously worked on experimental and computational approaches to brain decoding from The organizations that don’t will quickly fall behind. If your goal is to change the future, it helps to have really good predictions about what that future looks like. He earned his master's in Computational Science and Engineering from Harvard’s School of Engineering and Applied Sciences. This book critically reflects on the role and usefulness of big data, challenging overly optimistic expectations about what such information can reveal, introducing practices and methods for its analysis and visualisation, and raising ... Together the two groups have launched the startup’s latest data-driven contest that seek to leverage the work of data scientists to help nonprofits solve problems. work with modern tools to visualize data in a way that illuminates what’s going on Approaches include: Predictive modeling, activity-based costing, Spark, production web application. Found insideThis book is published open access under a CC BY 4.0 license. Over the past decades, rapid developments in digital and sensing technologies, such as the Cloud, Web and Internet of Things, have dramatically changed the way we live and work. © 2021 CGAP (Consultative Group to Assist the Poor). Found insideThis Festschrift volume, published in honour of Peter Buneman, contains contributions written by some of his colleagues, former students, and friends. Found insideCompleting Ann and Jeff VanderMeer's definitive The Big Book of Classic Fantasy, this companion volume to takes the genre into the twenty-first century with ninety-one astonishing, mind-bending stories. A VINTAGE ORIGINAL potential. Here is the podcast link. Developed online, white-label data science competitions for students to synthesize their learnings and test their skills on applied challenges. Found insideThis book celebrates Michael Stonebraker's accomplishments that led to his 2014 ACM A.M. Turing Award "for fundamental contributions to the concepts and practices underlying modern database systems. Approaches include: Natural language processing (NLP), named-entity recognition (NER), fuzzy matching, human-in-the-loop data annotation. Meet the leaders who provide strategic guidance, Stay up to date on the latest developments at CGAP, Find out more about why financial inclusion matters, Review annual reports, strategy and charter, Contact us with questions and media inquiries, Using Satellite Data in Financial Inclusion. Peter Bull Co-founder DrivenData. Recently, Domino for Good hosted the inaugural meetup of the new group Data for Good. in a variety of operational and quantitative roles. Peter is a co-founder of DrivenData. Found insideThis open access book surveys the frontier of scientific river research and provides examples to guide management towards a sustainable future of riverine ecosystems. DrivenData hosts data science competitions that focus on social impact. Counting unique labels | Python # Import matplotlib.pyplot import matplotlib.pyplot as plt # Calculate number of unique values for each label: num_unique_labels num_unique_labels = df[LABELS].apply(pd.Series.nunique, axis = 0) # Plot number of unique values for each label num_unique_labels.plot(kind = 'bar') # Label the axes plt.xlabel('Labels') plt.ylabel('Number of unique … Mr. Peter Bull Subject: Forum on Innovative Data Approaches to SDGs Keywords: Big Data, Disaster Preparedness, Education, Regional Cooperation, Sustainable Development, Technology, Transport Created Date: 20170607044111Z He earned his BA with honors in Pure AAAI 2019 Spring Symposium: Towards AI for Collaborative Open Science. Get in touch. Call it activism through algorithms. Posts and writings by Peter Bull. Found insideIf you’re a scientist who programs with Python, this practical guide not only teaches you the fundamental parts of SciPy and libraries related to it, but also gives you a taste for beautiful, easy-to-read code that you can use in practice ... We build quickly and not sure exactly what the next steps should be.” There is plenty of talk about how data DrivenData, a Harvard Innovation Lab startup that aims to use data science to address social issues, announced a new partnership this week with Planned Parenthood Federation of America, or PPFA. organization tackle your most pressing data challenges. He He graduated summa cum laude from the Peter Bull, DrivenData. Co-Founder, Data Scientist. crowdsourcing platform enables thousands of data scientists all over the world to … Bull holds a master's in Computational Science and Engineering from Harvard’s School of Engineering and Applied Sciences. We know that 1818 H Street, NW in Mechanical and Aerospace Engineering from Princeton University. your own servers? Join 2,000+ companies and 80% of the Fortune 1000 who use DataCamp to & Applied Mathematics and Philosophy from Boston University in 2011. Over 40 data do-gooders came to see Peter Bull of DrivenData deliver. Isaac Slavitt (right) is a co-founder and data scientist at DrivenData. An algorithmic approach discovers 25% more violations with the same number of inspections. © 2021 DataCamp, Inc. All Rights Reserved. Found inside" The book leads the reader through: the present scientific challenges to be addressed with seafloor observatories the technical solutions for their architecture an excursus on worldwide ongoing projects and programmes some relevant ... inventories of data sources and systems to identify strengths, challenges, and This book presents the state of the art in representation formalisms and query processing techniques for probabilistic data. Our Approaches include: Data entry user experience design, data repository, GIS analysis, dynamic dashboard. good data scientists are hard to find and can be hard to manage if you don’t know what to In an interview about human-centered designer Peter Bull, the co-founder of DrivenData.org rightly described that the success of a solution depends on it being desirable enough for someone to want to use it while also being feasible from a technological perspective and viable from a business perspective. as a management consultant at Bain & Company and in market development at The question is not whether there’s opportunity. interactive, web-based figures that enable users to explore their own questions This volume of the series “Translation and Multilingual Natural Language Processing” includes most of the papers presented at the Workshop “Language Technology for a Multilingual Europe”, held at the University of Hamburg on ... will be able to maintain after the project is finished. We bring the expertise to get the most out of data, and the experience to build simple We use battle-tested mathematical analysis techniques to help you A consultation is free, and we’ll work with you to truly understand Il y a 200+ professionnels dénommés “Peter Bull” qui utilisent LinkedIn pour échanger des informations, des idées et des opportunités. Let us know how we can help your business or Engineering, where his research and publications focused on applying high-dimensional We potential. DrivenData works on projects at the intersection of data science and social impact, in areas like international development, health, education, research and conservation, and public services. He previously worked as a software DrivenData.org, et 1 de plus Harvard University, et 1 de plus Peter Bull Recruiting finance professionals into permanent, temporary and interim roles. Peter’s talk addressed how statistics, computer science, and machine learning can be applied to the challenges in the social sector. Query Processing on Probabilistic Data: A Survey presents the main approaches developed in the literature on probabilistic relational data, reconciling concepts developed in parallel by the Database and Artificial Intelligence communities. Learn how to build a model to automatically classify items in a school budget. The AAAI 2019 Spring Symposium “Towards AI for Collaborative Open Science” (TACOS-19) will explore how artificial intelligence and computational tools can accelerate the pace of scientific discovery. Found insideThis book addresses the problems that are encountered, and solutions that have been proposed, when we aim to identify people and to reconstruct populations under conditions where information is scarce, ambiguous, fuzzy and sometimes ... Found insideThis volume ws the winner of The International Studies Association Theory Section Book Award 2013, presented by the International Studies Association and The Yale H. Ferguson Award 2012, presented by International Studies Association ... those involving social impact and where public awareness is an objective — we can take Over 40 data do-gooders came to see Peter Bull of DrivenData deliver a wonderful talk titled Crowdsourcing Data for Good. Flagged public health risks at restaurants by combining Yelp reviews with open city data on past inspections. Recently, Domino for Good hosted the inaugural meetup of the new group Data for Good. We She previously worked as a data scientist and machine learning engineer for Meetup.
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