Category: Harvard data science initiative

Harvard data science initiative

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MIT Press July 15, The open-access journal, published by MIT Press and hosted online via the multimedia platform PubPub, an initiative of the MIT Knowledge Futures group, will feature leading global thinkers in the burgeoning field of data science, making research, educational resources, and commentary accessible to academics, professionals, and the interested public.

With demand for data scientists booming, HDSR will provide a centralized, authoritative, and peer-reviewed publishing community to service the growing profession. The first issue features articles on topics ranging from authorship attribution of John Lennon-Paul McCartney songs to machine learning models for predicting drug approvals to artificial intelligence AI. Future content will have a similar range of general interest, academic, and professional content intended to foster dialogue among researchers, educators, and practitioners about data science research, practice, literacy, and workforce development.

HDSR will prioritize quality over quantity, with a primary emphasis on substance and readability, attracting readers via inspiring, informative, and intriguing papers, essays, stories, interviews, debates, guest columns, and data science news.

By doing so, HDSR intends to help define and shape the profession as a scientifically rigorous and globally impactful multidisciplinary field. Combining features of a premier research journal, a leading educational publication, and a popular magazine, HDSR will leverage digital technologies and advances to facilitate author-reader interactions globally and learning across various media.

The Harvard Data Science Review will serve as a hub for high-quality work in the growing field of data science, noted by the Harvard Business Review as the "sexiest job of the 21st century. It will highlight content in the form of commentaries, overviews, and debates intended for a wide readership; fundamental philosophical, theoretical, and methodological research; innovations and advances in learning, teaching, and communicating data science; and short communications and letters to the editor.

The dynamic digital edition is freely available on the PubPub platform to readers around the globe. We are thrilled to partner with the Harvard Data Science Initiative to publish work that will have a deep impact on popular understanding of the growing field of data science. The Review will be an unparalleled resource for advancing data literacy in society. With its rigorous and cross-disciplinary thinking, the Harvard Data ScienceReview will advance the new science of data.

By sharing stories of positive transformational impact as well as raising questions, this collective endeavor will reveal the contours that will shape future research and practice.

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Xiao-li Meng, the Whipple V. The Harvard Data Science Review is designed to cut through the hype to engage readers with substantive and informed articles from the leading data science experts and practitioners, ranging from philosophers of ethics and historians of science to AI researchers and data science educators. Garber HarvardBarbara J.

MIT News Office. Browse or.Read the latest updates on coronavirus from Harvard University. A University-wide program that will facilitate cross-disciplinary collaboration, the initiative will be co-led by Francesca Dominici, Professor of Biostatistics at the Harvard T. ParkesGeorge F. Paulson School of Engineering and Applied Sciences.

harvard data science initiative

This initiative will connect research efforts across the University in this emerging field. It will facilitate cross-fertilization in both teaching and research, paving the way to methodological innovations and to applications of these new tools to a wide range of societal and scientific challenges.

As massive amounts of data are generated from science, engineering, social sciences, and medicine—and even from our digitally augmented lives—researchers are grappling with how to make sense of all this information, and how to use it to benefit humankind. Data science applies the theory and practice of statistics and computer science to extract useful knowledge from complex and often messy information sources.

Applications span healthcare, environment, commerce, government services, urban planning, and finance. The Initiative will make it possible to take methodology and tools from one domain to another and discover new applications. The Harvard Data Science Initiative will unite efforts across the university, foster collaboration in both research and teaching, and catalyze research in many fields. The Data Science Initiative will strengthen the fabric of connections among departments to create an integrated data science community.

The Initiative has already launched the Harvard Data Science Postdoctoral Fellowship program, which will support up to seven scholars over two years, whose interests are in data science, broadly construed, and include researchers with both a methodological and applications focus.

The first cohort of Fellows will arrive in Falland will direct their own research while forging collaborations around the university. The Fellows program will offer numerous opportunities to engage with the broader data science community, including through seminar series, informal lunches, mentoring, and opportunities for fellow-led programming and other networking events.

This call invites innovative ideas whose interests span all areas of data science, including methodological foundations, as well as the development of quantitative methods and tools motivated by application challenges. Chan School of Public Health. I am delighted that Francesca Dominici and David Parkes will be co-directing this new effort. They are both extraordinary scientists, and exemplary colleagues. Dominici specializes in the development of statistical methods to analyze large and complex data sets.

She leads multiple interdisciplinary groups of scientists addressing questions in environmental health science, climate change, and health policy. Parkes leads research at the interface between economics and computer science, with a focus on multi-agent systems, artificial intelligence and machine learning. I look forward to being a part of this exciting work. For more information about the Harvard Data Science Initiative, visit datascience. Topics: Computer Science.

Leah Burrows lburrows seas. AcademicsComputer ScienceStudent Organizations. Press contact. March 28, Facebook Twitter Email LinkedIn. Cutting-edge science delivered direct to your inbox. Scientist Profiles. David Parkes George F.

What a difference a year of data science makes

Colony Professor of Computer Science. Press Contact Leah Burrows lburrows seas. Related News.Harvard University is devoted to excellence in teaching, learning, and research, and to developing leaders in many disciplines who make a difference globally.

Harvard faculty are engaged with teaching and research to push the boundaries of human knowledge.

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Established inHarvard is the oldest institution of higher education in the United States. The University, which is based in Cambridge and Boston, Massachusetts, has an enrollment of over 20, degree candidates, including undergraduate, graduate, and professional students. Harvard has more thanalumni around the world. Browse free online courses in a variety of subjects. Harvard University courses found below can be audited free or students can choose to receive a verified certificate for a small fee.

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harvard data science initiative

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Principles of Biochemistry …. Statistics and R …. Introduction to Linear Models and Matrix Algebra …. Statistical Inference and Modeling for High-throughput Experiments ….It aims to publish contents that help to define and shape data science as a scientifically rigorous and globally impactful multidisciplinary field based on the principled and purposed production, processing, parsing and analysis of data.

Xiao-Li Meng. Panorama Overviews, Visions, and Debates. Teresa A. Commentary by: Margo J. Poston, Jr. Rejoinder from: Teresa A. Daniel L. Oberski and Frauke Kreuter. David Spiegelhalter. Should We Trust Algorithms? Deborah Mayo. Francine Berman and Merce Crosas. Cornucopia Impact, Innovation, and Knowledge Transfer.

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About The Conference

Schuemie, M. Soledad Cepeda, Marc A. Ryan, David Madigan, and George Hripcsak. Stepping Stones Learning, Teaching, and Communication. Rafael A. Milestones and Millstones Foundations, Theories, and Methods. Diving into Data Mini tutorials on concepts, methods, and tools.

HDSI Intro to Causal Inference Tutorial - Jose Ramón Zubizarreta & Sharon-Lise Normand

Antony Unwin. Why is Data Visualization Important? What is Important in Data Visualization? Mining the Past Brief histories of data science.The goal of the Harvard Data Science Initiative Postdoctoral Fellow Research Fund is to incentivize and support cross-disciplinary collaboration between data scientists at the postdoctoral level. We are particularly interested in funding research proposals that aim to:. Funds may be used to hire students, buy access to data or software; or for travel and conference fees.

Proposed projects should take a maximum of one year to complete. Successful applicants will be provided the opportunity to present results at the DSI conference, normally held in the Fall. The normal duration of the Fellowship is two years. Fellows will receive a generous salary as well as an annual allocation for research and travel expenses. We are looking for researchers whose interests are in data science, broadly construed, and including researchers with both a methodological and applications focus.

Fellows will be provided with the opportunity to pursue their research agenda in an intellectually vibrant environment with ample mentorship.

harvard data science initiative

We are looking for independent researchers who will seek out collaborations with other fellows and with Harvard faculty. Eric will talk about his work with Data Science at Novartis and more generally an industry career in Data Science. The seminar will be held on Monday November 26th from The talk will last approximately 45 minutes, leaving plenty of time for questions and discussion refreshments are also provided.

Please RSVP. Skip to content Department of Biostatistics. Harvard T. Department of Biostatistics expand child menu. Search for:. Share this:. Sorry, your blog cannot share posts by email.After a successful first year, the Harvard Data Science Initiative puts its focus on five new research areas and four new fellows.

By Nate Herpich Harvard Correspondent. Date August 14, August 22, Come fall, research activity for the initiative will coalesce around personalized health, evidence-based policy, networks and markets, data-driven scientific discovery, and methodology. HDSI will fundraise to these themes, aligning them to program offerings, research grants, and student and postdoctoral support. Colony Professor of Computer Science.

They recognize that successful data science must, first and foremost, respect rigorous data science methodologies, and then take things one step further, through innovative application to problems at the forefront of all fields. HDSI-affiliated faculty have also created a certificate program in business analytics as a joint offering between the Harvard Business School and the John A.

Paulson School of Engineering and Applied Sciences, and the HDSI launched a corporate membership program, the first of its kind at Harvard, to facilitate relationships between members of academia and industry both seeking to address challenges in data science. To foster collaborations with researchers outside of Harvard, earlier in the year HDSI convened three roundtable discussions between Elsevier scientists and Harvard faculty to explore research partnerships in three broad areas: key factors for scientific impact on policy, interpretative models for precision medicine, and social and behavioral determinants of health care.

In addition, a master sponsored research agreement has been created. HDSI funds both faculty research grants and postdoctoral fellowships. Chan School Assistant Professor of Biostatistics Jeffrey Millerwho is working close the loop between statistics and science in the field of aging. These fellows will have the opportunity to be mentored by and collaborate with the growing community of more than Harvard scholars who share ideas and expertise in the data science.

The Data Science Initiative will hold its annual conference on Oct. Results suggest that up to 25 million people in the U. Skip to content The Harvard Gazette What a difference a year of data science makes New test helps ID those at risk for five deadly diseases. Illustration by Alice Mollon. Harvard initiative reports on successes, introduces new research areas.

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How masks and buildings can be barriers to the coronavirus. On-again, off-again looks to be best social-distancing option. The way we live now. Notes from the new normal. Up Next.The Harvard Data Science Initiative Conference is a three day event in Cambridge, MA that showcases data science in research and education through panels, keynotes, workshops, and tutorials featuring speakers from across Harvard, academia, and industry.

The Conference connects expert methodologists, data science professionals and educators across disciplines to ignite new discoveries with impacts on health, education, economics, social policy, business and the humanities. The second day of the conference offers participants the opportunity to attend in-depth tutorials led by leading faculty and researchers on Causal Inference and Unsupervised Deep Learning.

The final day of the conference is dedicated to the Harvard Data Science Review and will bring together leading thinkers around questions related to differential privacy for the Census, redistricting aka, Gerrymanderingand data science education.

Harvard University Bio. Upjohn Institute Bio. Surgo Foundation Bio. Harvard Data Science Initiative Conference. Oct 24 The second day of the conference offers participants the opportunity to attend in-depth tutorials led by leading faculty and researchers on Causal Inference and Unsupervised Deep Learning.

Joseph G. Brad Hershbein W. Sema Sgaier Surgo Foundation Bio. Jose Zubizarreta Harvard University Bio. Subscribe to our mailing list. Stay informed about data science and data science events at Harvard University. Powered by Webflow.


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