Saturday, October 31, 2020

Book club proposal: The Knowledge Machine, by Michael Strevens

On the basis of on one book review I read in a recent New Yorker (Review of Srevens' Knowledge Machine), I'd like to propose that CROW (and others as interested) read the book over Dec/Jan to give a broad perspective of how science really works.  An excerpt will explain better than I can:

"In “The Knowledge Machine: How Irrationality Created Modern Science” (Liveright), Michael Strevens, a philosopher at New York University, aims to identify that special something. Strevens is a philosopher of science—a scholar charged with analyzing how scientific knowledge is generated. Philosophers of science tend to irritate practicing scientists, to whom science already makes complete sense. It doesn’t make sense to Strevens. “Science is an alien thought form,” he writes; that’s why so many civilizations rose and fell before it was invented. In his view, we downplay its weirdness, perhaps because its success is so fundamental to our continued existence. He promises to serve as “the P. T. Barnum of the laboratory, unveiling the monstrosity that lies at the heart of modern science.”

Since science began, there has been disagreement about how those routes are charted. Two twentieth-century philosophers of science, Karl Popper and Thomas Kuhn, are widely held to have offered the best accounts of this process. Popper maintained that scientists proceed by “falsifying” scientific claims—by trying to prove theories wrong. Kuhn, on the other hand, believed that scientists work to prove theories right, exploring and extending them until further progress becomes impossible. These two accounts rest on divergent visions of the scientific temperament. For Popper, Strevens writes, “scientific inquiry is essentially a process of disproof, and scientists are the disprovers, the debunkers, the destroyers.” Kuhn’s scientists, by contrast, are faddish true believers who promulgate received wisdom until they are forced to attempt a “paradigm shift”—a painful rethinking of their basic assumptions.

Working scientists tend to prefer Popper to Kuhn. But Strevens thinks that both theorists failed to capture what makes science historically distinctive and singularly effective. To illustrate, he tells the story of Roger Guillemin and Andrew Schally, two “rival endocrinologists” who shared a Nobel Prize in 1977 for discovering the molecular structure of TRH—a hormone, produced in the hypothalamus, that helps regulate the release of other hormones and so shapes many aspects of our lives. Mapping the hormone’s structure, Strevens explains, was an “epic slog” that lasted more than a decade, during which “literally tons of brain tissue, obtained from sheep or pigs, had to be mashed up and processed.” Guillemin and Schally, who were racing each other to analyze TRH—they crossed the finish line simultaneously—weren’t weirdos who loved animal brains. They gritted their teeth through the work. “Nobody before had to process millions of hypothalami,” Schally said. “The key factor is not the money, it’s the will . . . the brutal force of putting in sixty hours a week for a year to get one million fragments.”"

Maybe it's a little simplistic as a description of the foundation of scientific thought...  but it provides room for discussion.  Or so I predict.  Check out the review and see what you think.  If the ink above doesn't work for you, email me and I'm send you a soft copy.

Thursday, October 29, 2020

FW: NHATS Round 9 Final Data Released and Data Website Updated

FYI

From: NHATS Data <nhatsdata@westat.com>
Sent: Thursday, October 29, 2020 1:00 PM
To: NHATS Data <nhatsdata@westat.com>
Subject: NHATS Round 9 Final Data Released and Data Website Updated

 

The National Health and Aging Trends Study (NHATS) is pleased to announce that Round 9 final data files are now available at https://nhats.org/researcher/data-access. Data files are available in both SAS and Stata formats. Updated documentation, including a revised User Guide, technical papers on Round 9 weights and income imputation, a revised crosswalk between the instruments and the codebook, and a crosswalk of changes from the beta to final version, can be found at https://www.nhats.org/researcher/nhats.    

Additionally, a redesign of the NHATS data website is now live at https://nhats.org/researcher/data-access. Updates include a new process for requesting and accessing restricted data and the availability of a new online resource for researchers from Colectica. This searchable, cross-year database contains NHATS metadata (item numbers, variable names, labels, values and value labels, and question text) to facilitate multi-round analysis.

Prior to accessing the NHATS data download area, users will need to update their password https://nhats.org/user/password.

 

Sunday, October 25, 2020

Standardized measures for social determinants of health from NIH


This announcement from NIH addresses an issue that was quite a big problem for IBH-PC over the last 6 years - the lack of standardized measures for SDOH. Progress! (I also like their brief definition of SDOH as "the conditions in which people are born, grow, live, work and age").

Notice Announcing Availability of Data Harmonization Tools for Social Determinants of Health (SDOH) via the PhenX Toolkit 

Notice Number: NOT-MD-21-003

The purpose of this Notice is to announce a major data-harmonization effort at the National Institute on Minority Health and Health Disparities (NIMHD) and to encourage the minority health and health disparities research community to use new data collection tools emerging from this effort.

The NIMHD is dedicated to advancing science by improving the yield and impact of its research portfolio. One way to accomplish this is to provide investigators with a common set of tools and resources that allow their work to span the diverse areas of the minority health and health disparities. Social determinants of health—the conditions in which people are born, grow, live, work and age—are known to drive health disparities. Recognizing this, the NIMHD, in collaboration with the National Human Genome Research Institute and the broader scientific community, has identified a series of Core and Specialty measures that will promote the collection of comparable data on social determinants of health (SDOH) across studies. The SDOH are categorized into categories of individual and structural factors that have impact on human health.  The list of constructs and measures is not exhaustive and NIMHD will continue to work towards greater harmonization of measures through vetted common data elements in the science of minority health and health disparities.

The NIMHD and its partners in the scientific community strongly encourages investigators to incorporate the measures from the Core and Specialty collections available in the Social Determinants of Health Collections of the PhenX Toolkit (www.phenxtoolkit.org) whenever possible.

Core collection: The measures in this collection are deemed relevant and essential to all areas of minority health and health disparities. Funded investigators are strongly encouraged to incorporate, at a minimum, the Core-Tier 1 measures in all primary data collection.

Specialty collections: The measures in these collections are organized at the individual and structural levels for more nuanced investigations of how SDOH influence health. The Individual SDOH Specialty collection includes measurement protocols for use in research where information is being collected from and about people answering for themselves or their family. The Structural SDOH Specialty collection includes measurement protocols at the structural or community level. Funded investigators conducting research in the specified areas of science are strongly encouraged to incorporate the Specialty measures related to the specific concepts covered and are discouraged from using alternative measures in lieu of the Specialty measures to collect similar data.

Through the use of these SDOH measures and common data elements, minority health and health disparity researchers will be able to share, compare, and integrate data across studies. By advocating the use of these common measures, the NIMHD and its partners in the scientific community aim to further enhance the science of minority health and health disparities while advancing a culture of scientific collaboration.

Friday, October 23, 2020

Quality Scholarship Award to Connie van Eeghen


At today's Grand Rounds, the Department of Medicine presented the annual Quality Scholarship Award to Connie van Eeghen, DrPH, Assistant Professor of Medicine.  Many congratulations!

Catalogue of Bias

Bias enters health studies at all stages and often influences the magnitude and direction of results. To obtain the least biased information, researchers must acknowledge the potential presence of biases and take steps to avoid and minimise their effects. Equally, in assessing the results of studies, we must be aware of the different types of biases, their potential impact and how this affects interpretation and use of evidence in healthcare decision making.

To better understand the persistent presence, diversity, and impact of biases, we are compiling a Catalogue of Bias, stemming from original work by David Sackett. The entries are a work in progress and describe a wide range of biases –  outlining their potential impact in research studies.

 See the catalogue here:  https://catalogofbias.org/


FYI


-Ben Littenberg

Wednesday, October 21, 2020

FW: Talkboctopus Virtual Seminar Series - Elisa Omodei Wed Oct 28 - Who, where, why: non-traditional data and predictive analytics to map socio-economic vulnerabilities

 

Elisa Omodei 

Talkboctopus Virtual Seminar Series

 October 28, 2020 12:00 PM ET (UTC -4) 


Talk Title:
Who, where, why: non-traditional data and predictive analytics to map socio-economic vulnerabilities

Talk Abstract:
In a rapidly changing world, severely affected by extreme weather events, epidemic outbreaks, economic shocks and conflicts, it is of fundamental importance to understand where the most vulnerable people are, how many they are, and to identify what it is that makes them more vulnerable than others to these threats. During the last decade, research has shown that data such as digital traces, phone metadata and satellite imagery carry relevant information beyond their original purpose and can be used as a proxy to measure socio-economic characteristics and detect vulnerabilities when traditional data is not available. Following an overview of these studies, the talk will deep dive into the UN World Food Programme’s original work on predicting food security. We will then conclude by discussing challenges and limitations, but also opportunities, that come with these approaches.

Speaker Bio: Elisa Omodei, Predictive Analytics Lead, mobile Vulnerability Analysis, and Monitoring at the UN World Food Programme, Vice-President Secretary, The Complex Systems Society

Elisa Omodei is the Predictive Analytics Lead of the Hunger Monitoring Unit at the World Food Programme’s Research, Assessment and Monitoring division. She also serves as Vice-President Secretary of the Complex Systems Society. She holds a BSc and a MSc in Physics and a PhD in Applied Mathematics for the Social Sciences. After her PhD, she spent a few years in academia before joining the United Nations in 2017, first at UNICEF's Office of Innovation and now at the World Food Programme. Follow Omodei on Twitter. 
 

UPCOMING SPEAKERS:

 

Fall 2020: Elisa Omodei, Casey Fiesler, Stefani Crabtree, Karissa Sanbonmatsu, Guillermo García-Pérez

 

Spring 2021: Timnit Gebru, M. Ángeles Serrano, Fernanda S. Valdovinos, Marie-Josée Fortin, Carlos Gershenson

 

Twitter

 

Website

 

 

Looking forward to seeing you all at this seminar. Just a reminder we will be sending out the zoom call-in details for this seminar one day before the event. 

 

Best Regards,

 

Juniper L. Lovato

Director of Partnerships and External Programs 

The Vermont Complex Systems Center

The University of Vermont

 




Tuesday, October 20, 2020

FW: Announcing IPUMS IHGIS, IPUMS MLP, job openings, and new data!

 

 

From: IPUMS <ipums@umn.edu>
Sent: Tuesday, October 20, 2020 11:34 AM
Subject: Announcing IPUMS IHGIS, IPUMS MLP, job openings, and new data!

 

IPUMS Census and Survey Data                                                        View this email in your browser

Dear Benjamin,

We are pleased to introduce you to two new members of the IPUMS family and share other updates.

While we are excited to share these updates, we are simultaneously discouraged by the news of the abbreviated timeline for the 2020 U.S. Census.

 

 

INTRODUCING IPUMS IHGIS
The International Historical Geographic Information System (IPUMS IHGIS) provides data tables from population and housing censuses as well as agricultural censuses from around the world, along with corresponding GIS boundary files. Data from diverse published documents are provided in a standardized, ready-to-use structure with thorough, consistently formatted metadata. Head to ihgis.ipums.org to get started.


IPUMS MLP - LINKED FULL COUNT U.S. CENSUS DATA
IPUMS Multigenerational Longitudinal Panel (MLP) has released a set of crosswalks to link individual records in full count historical census data between adjacent censuses from 1900 to 1940. This release includes more than 165 million linked records, and future releases will build on this work and extend chronological depth. Keep an eye on your inbox for information about an upcoming webinar on our linking strategy and tips for using these new data.

 

 

WORK FOR IPUMS 

Data Analyst (GIS), IPUMS NHGIS
Put your GIS skills to work as a member of the IPUMS NHGIS team, coordinating our efforts to digitize historical census block boundaries and supporting other GIS and demographic data development.

Senior Data Analyst, IPUMS International
Help make the world's census and survey microdata available to IPUMS users. We are looking for people who like to put their technical skills to work solving data problems and transforming raw data to the harmonized versions available on IPUMS websites. 

 

 

DATA RELEASES

IPUMS CPS 
2020 ASEC data are now available from IPUMS CPS as well as September Basic Monthly data, the January 2020 displaced worker and job tenure supplements, and tobacco use supplement from January 2019. The IPUMS CPS linking keys CPSIDP and MARBASECIDP are now available for 1976-1988 ASEC files - read all about it in this working paper

IPUMS HEALTH SURVEYS
The latest year of MEPS data is now available through IPUMS MEPS. We have also included a handy explainer of the different types of original MEPS files available from AHRQ and how to link them to IPUMS MEPS (with sample code!). 

IPUMS GLOBAL HEALTH
Last week IPUMS PMA released new household and female data from Burkina Faso, Democratic Republic of the Congo, Ethiopia, Kenya, and Nigeria. These samples are from the core family planning surveys in 2019, and these cohorts of women will be given follow-up interviews for two years. A survey redesign now collects contraceptive calendar data, in addition to questions about the woman's economic activities.

 

 

 

TALK DATA TO US

United Nations Virtual World Data Forum 2020
October 19-21, 2020
International IPUMS projects will be represented at UNWDF2020. If you are attending, check out our virtual exhibit page in the UN Data Forum Attendify platform or visit our Forum page at https://ipums.org/unwdf2020 to learn more about international data from IPUMS and sign up for virtual office hours.

Gerontological Society of America (GSA) Virtual Annual Meeting
November 4-7, 2020
Visit our virtual booth at GSA to talk data to us and brainstorm how to use IPUMS for studying aging and the life course. 

Virtual Office Hours - IPUMS for Studying Aging & the Life Course
November 12, 2020; 11:00am-1:00pm CT
Join us for virtual office hours on Thursday, November 12 at 11:00AM CT to talk to IPUMS data experts about leveraging IPUMS data for research on aging and the life course. Registration is required to attend office hours, but you can drop in any time from 11:00AM-1:00PM CT with your questions. 

 

 

2020 CENSUS

On Friday, October 14, the Supreme Court of the United States ruled that the Census Bureau could end counting early for the 2020 decennial Census. We are disappointed in this decision and concerned that an abbreviated Census undercuts the national statistical infrastructure in the U.S., as well as congressional representation and allocation of federal funding. We support the Population Association of America's statement on the ruling and will keep you apprised how to get involved. 

 

 

Stay safe, and use it for good!

The IPUMS Team

 

 

THE LATEST FROM IPUMS HQ

 

NEW BLOG POST
What's new with IPUMS USA? Updates for Industry and Occupation Variables


New OCCSOC and INDNAICS Crosswalks Available! IPUMS USA also released the 2018 occupational standing variables for the ACS/PRCS samples. Read more about these updates and an example of how to use new variables for research.

 

READ MORE

Twitter

Facebook

Website

YouTube

 

IPUMS.ORG | University of Minnesota

 

 

Copyright © 2020 University of Minnesota, All rights reserved.

Our mailing address is:
IPUMS
225 19th Ave South
Minneapolis, MN 55455






This email was sent to benjamin.littenberg@uvm.edu
why did I get this?    unsubscribe from this list    update subscription preferences
University of Minnesota · 225 19th Avenue South · 50 Willey Hall · Minneapolis, MN 55455 · USA