An archival record of Programs and Public Forums that addressed the Psychological and Social Needs of Children Born into a Society Troubled by racism and Poverty.
1. PEP | Browse | Read - Some Applications of Psychiatry and Psychoanalysis to Social Issues (pep-web.org) 2. Viola Wertheim Bernard papers https://www.library-archives.cumc.columbia.edu/finding-aid/viola-wertheim-bernard-papers-1918-2000 3. Adoption History: Viola Wertheim Bernard (1907-1998) (uoregon.edu) 4. Applied Example: Selecting and Operationalizing Implementation Strategies https://www.youtube.com/watch?v=Yjcypp62QM0 |
DATA SETS
molecular data
Maximum Parsimony Under this criterion, the shortest possible tree that explains the data is considered best.characterization and rationale List of websites: topics covered on global-rates.com.Interest rates
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Development of General Exposure Factors for Risk ... - NCBIwww.ncbi.nlm.nih.gov › pmc › articles › PMC7142402
Mar 18, 2020 - While Korea published an exposure factor handbook for adults in 2014 [8], ... We measured the body weights and respiratory volumes of 262 children ... The collected soil was treated using the EPA's process testing ... On the contrary, the average inhalation rate of Korean children was lower than that of US ... by H Yoon - 2020 Highlights of the Chinese Exposure Factors Handbook(Adults)www.researchgate.net › publication › 294645842_Highli... Development, USA. Xinbiao Guo/Peking ... done by measurements in the population of concern doing their normal ... food intake, time-activity related to exposure, body weight, surface ... details are available in the Exposure Factors Handbook of Chinese ... The United States Environmental Protection Agency (USEPA). Exposure Factors Manual - RS DYNAMICSwww.rsdynamics.com › texty › pdf About the Exposure Factors Handbook | US - EPAwww.epa.gov › expobox › about-exposure-factors-han... Apr 29, 2020 - The latest edition of the Exposure Factors Handbook was released in 2011, but since October 2017, EPA has begun to release chapter updates ... Exposure Factors Handbook Volume I: General ... - epa nepisnepis.epa.gov › REFERENCES FOR CHAPTER 4 4"25 Exposure Factors Handbook August 1997 Page in ... U.S. Department of Agriculture Nationwide Food Consumption Survey and ... Summary of Total Liquid and Total Tapwater Intake for Males and Females ... This distinction was made on the strength of the attributes listed in the ... EPA-600-R-090-052F, Exposure Factors Handbook ... - NRCwww.nrc.gov › docs Sep 1, 2011 - The U.S. EPA Office of Water and Office of Pesticide Programs made ... various exposure factors, an attempt was made to present percentile values ... Arithmetic Mean (Maximum) Number of Dives per Diver and Volume of Water Ingested ... Free Living Normal Weight Males and Females Aged 2.6 Months to ... The evolution of EPA's Exposure Factors Handbook and its ...www.nature.com › ... › reviewtraffic (us): 2/mo - keywords: 3 Jul 18, 2012 - The Exposure Factors Handbook was first published in 1989 in response to this ... Factors Handbook, using the US EPA's Exposure Factors Handbook as a model. ... more of certain foods and water per unit of body weight than adults; ... as a three-volume set, but was also made available on EPA/NCEA's ... by L Phillips - 2013 - Cited by 18 - Related articles Wildlife Exposure Factors Handbook. Vol. I. - The Risk ...rais.ornl.gov › documents › WEFHV1 PDFtraffic (us): 1/mo - keywords: 2 Office of Research and Development. U.S. Environmental Protection Agency. Washington, DC 20460. Additional major funding for this Handbook was provided ... Selection of Body Weights Values for Use in Human Health ...www.canada.ca › publications › science-research-data Sep 3, 2019 - From a clinical perspective, attempts are made, where possible, to correlate ... The External Review Draft US EPA Exposure Factors Handbook, July ... 64 kg (average male and female combined) (Department of Health and ... Development of General Exposure Factors for Risk ... - factors are derived from the available scientific literature and reflect the quantity, quality ... Normal or lognormal distributions are selected if there is confi- ... EPA Exposure Factor Handbook, the commonly used default value of 70 kg is near ... male and female (combined) body weights (ages 1 to 4) based on all the percentile. by LA Gephart - 1994 Attachment H - MDEQ Body Weight TSD SR - State of Michiganwww.michigan.gov › documents › deq › deq-rrd-chem...PDF recommended by U.S. EPA's most recent (2011) Exposure Factors Handbook and ... The algorithms used by MDEQ to derive Part 201 generic cleanup criteria ... to the data from NHANES I, BWs of Michigan men and women were on average 1.8 ... Volume 2. Technical Support Document. MPCA, Site Remediation Section. |
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Data Science and the Art of Persuasion
Scott Berinato . From the January–February 2019 Issue
https://hbr.org/2019/01/data-science-and-the-art-of-persuasion?utm_medium=social&utm_campaign=hbr&utm_source=facebook&fbclid=IwAR0H9vAQPWquTQRk2A56Un1M2uMLg9KzONunwoy3s9tAany_Gj_dKCSwT3w
How Communication Fails... I’ve learned in my work that most leaders recognize the value data science can deliver, and few are satisfied with how it’s being delivered. Some data scientists complain that bosses don’t understand what they do and underutilize them. Some managers complain that the scientists can’t make their work intelligible to a lay audience.
In general, the stories I hear follow one of these scenarios. See if you recognize any of them. The Statistician’s CurseA data scientist with vanguard algorithms and great data develops a suite of insights and presents them to decision makers in great detail. She believes that her analysis is objective and unassailable. Her charts are “click and viz” with some text added to the slides—in her view, design isn’t something that serious statisticians spend time on. The language she uses in her presentation is unfamiliar to her listeners, who become confused and frustrated. Her analysis is dead-on, but her recommendation is not adopted. The Factory and the Foreman A business stakeholder wants to push through a pet project but has no data to back up his hypothesis. He asks the data science team to produce the analysis and charts for his presentation. The team knows that his hypothesis is ill formed, and it offers helpful ideas about a better way to approach the analysis, but he wants only charts and speaking notes. One of two things will happen: His meeting will be upended when someone asks about the data analysis and he can’t provide answers, or his project will go through and then fail because the analysis was unsound. The Convenient TruthA top-notch information designer is inspired by some analysis from company data scientists and offers to help them create a beautiful presentation for the board, with on-brand colors and typography and engaging, easily accessible stories. But the scientists get nervous when the executives start to extract wrong ideas from the analysis. The clear, simple charts make certain relationships look like direct cause and effect when they’re not, and they remove any uncertainty that’s inherent in the analysis. The scientists are in a quandary: Finally, top decision makers are excited about their work, but what they’re excited about isn’t a good representation of it. |
In her 1969 book Practical Charting Techniques, Mary Eleanor Spear details the ideal team:
* a communicator * a graphic analyst * and a draftsperson and its responsibilities. “It is advisable,” Spear writes, “that all three collaborate.” |
Building a Better Data Science
OperationAn effective data operation based on teamwork can borrow from Brinton and Spear but will account for the modern context, including the volume of data being processed, the automation of systems, and advances in visualization techniques. It will also account for a wide range of project types, from the reasonably simple reporting of standard analytics data (say, financial results) to the most sophisticated big data efforts that use cutting-edge machine learning algorithms.
Here are four steps to creating one:
1. Define talents, not team members
Rather than assign people to roles, define the talents you need to be successful. A talent is not a person; it’s a skill that one or more people possess. One person may have several talents; three people may be able to handle five talents. It’s a subtle distinction but an important one for keeping teams nimble enough to configure and reconfigure during various stages of a project. (We’ll come back to this.)Any company’s list of talents will vary, but a good core set includes these six: Project management A good project manager will have great organizational abilities and strong diplomacy skills, helping to bridge cultural gaps by bringing disparate talents together at meetings and getting all team members to speak the same language. Data wrangling Skills that compose this talent include building systems; finding, cleaning, and structuring data; and creating and maintaining algorithms and other statistical engines. People with wrangling talent will look for opportunities to streamline operations—for example, by building repeatable processes for multiple projects and templates for solid, predictable visual output that will jump-start the information-design process. Data analysis The ability to set hypotheses and test them, find meaning in data, and apply that to a specific business context is crucial—and, surprisingly, not as well represented in many data science operations as one might think. Some organizations are heavy on wranglers and rely on them to do the analysis as well. But good data analysis is separate from coding and math. Often this talent emerges not from computer science but from the liberal arts. Critical thinking, context setting, and other aspects of learning in the humanities also happen to be core skills for analysis, data or otherwise. Subject expertise It’s time to retire the trope that data science teams are stuck in the basement to do their arcane work and surface only when the business needs something from them. Data science shouldn’t be thought of as a service unit; it should have management talent on the team. People with knowledge of the business and the strategy will inform project design and data analysis and keep the team focused on business outcomes, not just on building the best statistical models. Design This talent is widely misunderstood. Good design isn’t just choosing colors and fonts or coming up with an aesthetic for charts. That’s styling—part of design, but by no means the most important part. Rather, people with design talent develop and execute systems for effective visual communication. In our context, they understand how to create and edit visuals to focus an audience and distill ideas. Information-design talent—which emphasizes understanding and manipulating data visualization—is ideal for a data science team. Storytelling Narrative is an extremely powerful human contrivance and one of the most underutilized in data science. The ability to present data insights as a story will, more than anything else, help close the communication gap between algorithms and executives. “Storytelling with data,” a tired buzz phrase, is widely misunderstood, though. It is decidedly not about turning presenters into Stephen Kings or Tom Clancys. Rather, it’s about understanding the structure and mechanics of narrative and applying them to dataviz and presentations. 2. Hire to create a portfolio of necessary talents. 3. Expose team members to talents they don’t have. 4. Structure projects around talents 5. Further Reading CONCLUSION The presentation of data science to lay audiences—the last mile—hasn’t evolved as rapidly or as fully as the science’s technical part. It must catch up, and that means rethinking how data science teams are put together, how they’re managed, and who’s involved at every point in the process, from the first data stream to the final chart shown to the board. Until companies can successfully traverse that last mile, data science teams will underdeliver. They will provide, in Willard Brinton’s words, foundations without cathedrals. |
Project management
Statistics with R Specialization
Master Statistics with R. Statistical mastery of data analysis including inference, modeling, and Bayesian approaches. Duke University |
Library of Congress
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Use the best tool for the job
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Documenting Culture, Data
In other collecting areas, Asian Division recommending officers last month selected 142 Chinese-language print titles on COVID-19 in China. Acquisitions and Bibliographic Access Directorate librarians are facilitating their delivery, and cataloging librarians are prioritizing their processing so they can quickly be made available.
Since March, John Hessler of the Geography and Map Division has been involved in mapping the pandemic and searching for geospatial data and cartographic visualizations to add to the Library’s vast map collections.
And the Copyright Office has already registered dozens of pandemic-related titles, including “Cornavirus Gas Mask Skull,” a visual arts work, and a sound recording called “COVID #19 Baby!” Recommending officers will review associated deposits to determine which to add to the Library’s collections.
The American Folklife Center (AFC) plans a “multipronged and multiyear approach” to pandemic collecting, said its director, Betsy Peterson. In April, Rep. Ami Bera of California introduced a bill in the House of Representatives charging AFC with directing a COVID-19 oral history project to document the experiences and stories of people across the U.S.
Should the bill become law, Peterson envisions establishing a fellowship program to interview first responders, essential workers, COVID-19 survivors and others, including planners of emergency and civic responses to the pandemic.
AFC is also the archival home of StoryCorps, which in March launched StoryCorps Connect, a platform enabling people to interview loved ones remotely, and it is cooperating with other organizations to document the pandemic.
“I think the Library can join and learn from these efforts and, I hope, help amplify them through development of a national COVID-19 oral history collection,” Peterson said.
“Our problem,” said Puccio of the Library wide collecting effort, “is that there is just so much content about this situation. But I think in the end – like in 10 years – we’re going to look back and say, wow, we did a heck of a job collecting back then.”
Subscribe to the blog— it’s free! — and the largest library in world history will send cool stories straight to your inbox.
Since March, John Hessler of the Geography and Map Division has been involved in mapping the pandemic and searching for geospatial data and cartographic visualizations to add to the Library’s vast map collections.
And the Copyright Office has already registered dozens of pandemic-related titles, including “Cornavirus Gas Mask Skull,” a visual arts work, and a sound recording called “COVID #19 Baby!” Recommending officers will review associated deposits to determine which to add to the Library’s collections.
The American Folklife Center (AFC) plans a “multipronged and multiyear approach” to pandemic collecting, said its director, Betsy Peterson. In April, Rep. Ami Bera of California introduced a bill in the House of Representatives charging AFC with directing a COVID-19 oral history project to document the experiences and stories of people across the U.S.
Should the bill become law, Peterson envisions establishing a fellowship program to interview first responders, essential workers, COVID-19 survivors and others, including planners of emergency and civic responses to the pandemic.
AFC is also the archival home of StoryCorps, which in March launched StoryCorps Connect, a platform enabling people to interview loved ones remotely, and it is cooperating with other organizations to document the pandemic.
“I think the Library can join and learn from these efforts and, I hope, help amplify them through development of a national COVID-19 oral history collection,” Peterson said.
“Our problem,” said Puccio of the Library wide collecting effort, “is that there is just so much content about this situation. But I think in the end – like in 10 years – we’re going to look back and say, wow, we did a heck of a job collecting back then.”
Subscribe to the blog— it’s free! — and the largest library in world history will send cool stories straight to your inbox.