Transactions, Transformations, Translations: Metrics that Matter for Building, Scaling, and Funding Social Movements

This report provides an evaluative framework and key milestones to gauge movement building. Aiming to bridge the gap between the field of community organizing that relies on the one-on-one epiphanies of leaders and the growing philanthropic emphasis on evidence-based giving, the report stresses three main insights. The first is that any good set of movement metrics should capture quantity and quality, numbers and nuance, transactions and transformations. They are related -- an energized leader with a clear power analysis (a transformative measure) may turn out more members for a coalition rally (a transactional measure) -- and the report offers a matrix that weaves together both types of metrics across ten different movement-building strategies. The second is that a movement is more than one organization -- and if the whole is to be greater than the sum of its parts, we must measure accordingly. While report includes measures of success at the organizational level, it attempts to move beyond and focus on whether groups can align and work together to create a more powerful force for social change -- suggesting that in the same way that movements need to scale up to face the challenges of our times, metrics, too, must expand to capture the whole. The third is that metrics must be co-created, not imposed. Recognizing the gravity of the times and hoping to gauge their effectiveness, movement builders are eager to come up with a common language and framework for themselves -- and are developing the tools and capacities to do so. The report suggests that the funder-grantee relationship can build on this wisdom in the field and develop a set of evaluative measures that are not onerous requirements but tools for mutual accountability. The report also offers a set of recommendations to funders and the field, ranging from practical steps (like building a new toolbox of measures, improving the capacity to use them, and documenting innovation and experimentation) to more far-reaching suggestions about leadership development, the connection of policy outcomes with broader social change, and the need to generate movement-level measures. We, at USC PERE, hope this report contributes to a conversation about how to best capture transformations as well as transactions in social movement organizing, and how to build the broader public and philanthropic support necessary to realize the promise of a more inclusive America

Community Building, Community Bridging

A summary document of our research, entitled "Community Building, Community Bridging: Linking Neighborhood Improvement Initiatives and the New Regionalism in the San Francisco Bay Area," discusses the three initiatives and draws general lessons for those interested in how communities and regions could better work together

Transforming Lives, Transforming Movement Building: Lessons from the National Domestic Workers Alliance Strategy - Organizing - Leadership (SOL) Initiative

Today's millions of domestic workers in the U.S. play a critical role in our society, whether caring for our children, providing home health care for our elderly, or keeping our homes clean for our families. With the demographic growth of the elderly and disabled, domestic workers will only become more essential to our society. Yet, despite the importance and intimacy of their work to those who hire them, domestic workers have been largely invisible to society, undervalued in the labor market, and excluded from basic workplace standards and protections. We begin the report by describing the National Domestic Workers Alliance Strategy -- Organizing -- Leadership (SOL) Initiative program -- its design and the participants -- and the key questions posed for this assessment. We then define the core concepts and framework that underlie the curriculum. The second half of the report is devoted to lifting up a new set of metrics for capturing indicators of transformational leadership. Based on the findings, we discuss valuable lessons for the program and conclude with implications for movement building. This analysis is based on a review of the literature on domestic worker organizing and on intersectionality; on quantitative and qualitative data we collected through surveys, small group discussions, interviews, and observations; and on documents related to SOL provided by National Domestic Workers Alliance (NDWA). Using a mixed-method approach, we coded all the data and culled the results for common themes. Perhaps more important to note, the analysis in this report is the result of an iterative, co-creative process between USC Program for Environmental and Regional Equity (PERE), NDWA, Social Justice Leadership (SJL), and generative somatics (gs) -- the sort of process we have called for when recommending a new model of assessment. We thus offer this report as a collective effort in a learning process about a dynamic and evolving model of transformative leadership development, transformative organizing, and transformative movement building

An Exploration of Auditory Brainstem Encoding of Stop Consonants in Infants and Implications for Language Outcomes

Current trends in speech-language pathology focus on early intervention as the preferred tool for promoting the best possible outcomes in children with language disorders. Neuroimaging techniques are being studied as promising tools for flagging at-risk infants. In this study, the auditory brainstem response (ABR) to the syllables /ba/ and /ga/ was examined in 41 infants between 3 and 12 months of age as a possible tool to predict language development in toddlerhood. The MacArthur-Bates Communicative Development Inventory (MCDI) was used to assess language development at 18 months of age. The current study compared the periodicity of the responses to the stop consonants and phase differences between /ba/ and /ga/ in both at-risk and low-risk groups. The study also examined whether there are correlations among ABR measures (periodicity and phase differentiation) and language development. The study found that these measures predict language development at 18 months

Coming Together: Lessons on Collaboration From California Works for Better Health

Details the collaborative process of the California Works for Better Health initiative to improve low-income workers' health through job quality. Presents lessons learned on how the partnerships' tone, context, and strategies affect the overall outcome

A framework for the generation of computer system diagnostics in natural language using finite state methods

Understanding what has led to a failure is crucial for addressing problems with computer systems. We present a meta-NLG system that can be configured to generate natural explanations from error trace data originating in an external computational system. Distinguishing features are the generic nature of the system, and the underlying finite-state technology. Results of a two-pronged evaluation dealing with naturalness and ease of use are described.peer-reviewe

Diagnostic Accuracy of Neonatal Assessment for Gestational Age Determination: A Systematic Review.

CONTEXT: An estimated 15 million neonates are born preterm annually. However, in low- and middle-income countries, the dating of pregnancy is frequently unreliable or unknown. OBJECTIVE: To conduct a systematic literature review and meta-analysis to determine the diagnostic accuracy of neonatal assessments to estimate gestational age (GA). DATA SOURCES: PubMed, Embase, Cochrane, Web of Science, POPLINE, and World Health Organization library databases. STUDY SELECTION: Studies of live-born infants in which researchers compared neonatal signs or assessments for GA estimation with a reference standard. DATA EXTRACTION: Two independent reviewers extracted data on study population, design, bias, reference standard, test methods, accuracy, agreement, validity, correlation, and interrater reliability. RESULTS: Four thousand nine hundred and fifty-six studies were screened and 78 included. We identified 18 newborn assessments for GA estimation (ranging 4 to 23 signs). Compared with ultrasound, the Dubowitz score dated 95% of pregnancies within ±2.6 weeks (n = 7 studies), while the Ballard score overestimated GA (0.4 weeks) and dated pregnancies within ±3.8 weeks (n = 9). Compared with last menstrual period, the Dubowitz score dated 95% of pregnancies within ± 2.9 weeks (n = 6 studies) and the Ballard score, ±4.2 weeks (n = 5). Assessments with fewer signs tended to be less accurate. A few studies showed a tendency for newborn assessments to overestimate GA in preterm infants and underestimate GA in growth-restricted infants. LIMITATIONS: Poor study quality and few studies with early ultrasound-based reference. CONCLUSIONS: Efforts in low- and middle-income countries should focus on improving dating in pregnancy through ultrasound and improving validity in growth-restricted populations. Where ultrasound is not possible, increased efforts are needed to develop simpler yet specific approaches for newborn assessment through new combinations of existing parameters, new signs, or technology

Measurement of symphysis fundal height for gestational age estimation in low-to-middle-income countries: A systematic review and meta-analysis

In low- and middle-income countries (LMIC), measurement of symphysis fundal height (SFH) is often the only available method of estimating gestational age (GA) in pregnancy. This systematic review aims to summarize methods of SFH measurement and assess the accuracy of SFH for the purpose of GA estimation. We searched PubMed, EMBASE, Cochrane, Web of Science, POPLINE, and WHO Global Health Libraries from January 1980 through November 2021. For SFH accuracy, we pooled the variance of the mean difference between GA confirmed by ultrasound versus SFH. Of 1,003 studies identified, 37 studies were included. Nineteen different SFH measurement techniques and 13 SFH-to-GA conversion methods were identified. In pooled analysis of five studies (n = 5838 pregnancies), 71% (95% CI: 66–77%) of pregnancies dated by SFH were within ±14 days of ultrasound confirmed dating. Using the 1 cm SFH = 1wk assumption, SFH underestimated GA compared with ultrasound-confirmed GA (mean bias: -14.0 days) with poor accuracy (95% limits of agreement [LOA]: ±42.8 days; n = 3 studies, 2447 pregnancies). Statistical modeling of three serial SFH measurements performed better, but accuracy was still poor (95% LOA ±33 days; n = 4 studies, 4391 pregnancies). In conclusion, there is wide variation in SFH measurement and SFH-to-GA conversion techniques. SFH is inaccurate for estimating GA and should not be used for GA dating. Increasing access to quality ultrasonography early in pregnancy should be prioritized to improve gestational age assessment in LMIC

Lifetime body size and reproductive factors: comparisons of data recorded prospectively with self reports in middle age

<p>Abstract</p> <p>Background</p> <p>Data on lifetime exposures are often self-reported in epidemiologic studies, sometimes many years after the relevant age. Validity of self-reported data is usually inferred from their agreement with measured values, but few studies directly quantify the likely effects of reporting errors in body size and reproductive history variables on estimates of disease-exposure associations.</p> <p>Methods</p> <p>The MRC National Survey of Health and Development (NSHD) and the Million Women Study (MWS) are UK population-based prospective cohorts. The NSHD recruited participants at birth in 1946 and has followed them at regular intervals since then, whereas the MWS recruited women in middle age. For 541 women who were participants in both studies, we used statistical measures of association and agreement to compare self-reported MWS data on body size throughout life and reproductive history, obtained in middle age, to NSHD data measured or reported close to the relevant ages. Likely attenuation of estimates of linear disease-exposure associations due to the combined effects of random and systematic errors was quantified using regression dilution ratios (RDRs).</p> <p>Results</p> <p>Data from the two studies were very strongly correlated for current height, weight and body mass index, and age at menopause (Pearson r = 0.91-0.95), strongly correlated for birth weight, parental heights, current waist and hip circumferences and waist-to-height ratio (r = 0.67-0.80), and moderately correlated for age at menarche and waist-to-hip ratio (r = 0.52-0.57). Self-reported categorical body size and clothes size data for various ages were moderately to strongly associated with anthropometry collected at the relevant times (Spearman correlations 0.51-0.79). Overall agreement between the studies was also good for most quantitative variables, although all exhibited both random and systematic reporting error. RDRs ranged from 0.66 to 0.86 for most variables (slight to moderate attenuation), except weight and body mass index (1.02 and 1.04, respectively; little or no attenuation), and age at menarche, birth weight and waist-to-hip ratio (0.44, 0.59 and 0.50, respectively; substantial attenuation).</p> <p>Conclusions</p> <p>This study provides some evidence that self-reported data on certain anthropometric and reproductive factors may be adequate for describing disease-exposure associations in large epidemiological studies, provided that the effects of reporting errors are quantified and the results are interpreted with caution.</p

Written evidence to the Joint Committee on Human Rights (together with ORG, Article 19, Index on Censorship 2020) - Digital Contact Tracing Apps (NHSX)

We welcome the JCHR aim of providing certainty and comprehensive protection for individuals’ rights, in light of the upcoming deployment of the NHSX Contact Tracing system. Clarifying the available safeguards would allow the public to better understand the functioning of the NHSX application, the consequences for their rights, and the remedies at their disposal. Further, as emergency situations may require rapid and bold responses, and protections of rights enshrined in law should be strengthened accordingly: in turn, public scrutiny and enforcement of rights would be enabled to keep pace with such rapid developments. Likewise, we reject Matt Hancock’s communication to the JCHR that a Bill is unnecessary as sufficient safeguards are present in Data Protection legislation and other general policy commitments; they are not. Data protection regulations leave a scope for differing protections and approaches, as they are not tailored to the situation at hand. On the other hand, public confidence would benefit greatly from a more specific approach which ensures particularly high protections. Having said that, we are concerned about a number of issues raised in the current text of the draft Digital Contact Tracing (Data Protection) Bill. We have divided those concerns into three groups: Missed Opportunities: we believe the Bill overlooks certain risks, whose potential for undermining public trust is significantly high; Overlaps and Coordination with the GDPR: we find that some provisions enshrined in this Bill are at risk of overlapping, conflicting or not properly coordinating with the current data protection regime; Other Areas for Improvements: finally, we cover certain aspects of the Bill which could be improved upon, in order to better attain the purposes of this Bill. Each of these groups entails a number of issues, each (i) introducing the clause or clauses being discussed, (ii) briefly analysing the issues being raised, and (iii) recommending suitable changes to the Bill. With this, we hope to contribute to ensuring that the Joint Committee on Human Rights Bill can really provide citizens with choice, control and confidence over the Government use of their personal data. Please note that these concerns and considerations are not exhaustive. We would thus welcome the opportunity to discuss these concerns with the JCHR with a view to furthering and enhancing their work on technological responses to COVID-19