Archive-It Collection 7219: Environmental Health web archive
Partners are Helping Shape Brighter Futures for Flint’s Children
The Flint community, together with partners, has really come together to help children and families overcome the potential health effects of this crisis.
Science heroes of Flint’s lead water crisis | PLOS Blogs Network
“LEAD MAKES THE MIND GIVE WAY” Old news, from a doc in Rome–in the second century BC, quoted by William Finnegan in the New Yorker. Finnegan’s is a fine angry summary of thousands of years of accumulated medical knowledge about the evils of lead, epitomized currently by the lead-filled water crisis in Flint, Michigan–and a scary number of other places. Lead exposure in childhood, he points out, “can cause stunted growth, permanent mental retardation, speech impairment, hearing loss, reproductive problems, and kidney damage.” Mike the Mad Biologist says its lead crisis means Flint is facing “an educational catastrophe.” He argues that the effects of lead poisoning are close to the test-score differences between poor children and those better off and between black and white children. Incidental Economist Aaron Carroll cites data suggesting that “high blood lead levels were associated with increased oppositional, hyperactive and bullying behaviors in children. Teenagers who had high lead
HHS awards $500,000 in funding to Flint health centers
FLINT, Mich. – U.S. Department of Health and Human Services Secretary Sylvia M. Burwell today announced $500,000 in funding to help two area health centers increase and expand activities in response to the lead contamination of Flint’s water.
Michigan DEQ (@MichiganDEQ) | Twitter
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One-time emergency funding expands and enhances Head Start and Early Head Start services in Flint, Michigan.
Sylvia Burwell (@SecBurwell) | Twitter
Emergency #Zika funds are necessary to: develop vaccines✓ control mosquitoes that spread Zika✓ conduct research to better understand Zika✓...
This story was constructed automatically by using an updated version of AlNoamany's Algorithm. For more information about how this algorithm was developed, how it works, and its evaluation, please consult:
- Y. AlNoamany, M. C. Weigle, and M. L. Nelson, "Generating Stories From Archived Collections," in Proceedings of the 2017 ACM on Web Science Conference, pp. 309–318, ACM Press, 2017. https://doi.org/10.1145/3091478.3091508.
- Y. AlNoamany, M. C. Weigle, and M. L. Nelson, " Stories From the Past Web," Tech. Rep. 1705.06218, May, 2017. https://arxiv.org/abs/1705.06218.
We employed the DSA toolkit to tell this story with the following steps.
- Hypercane selected the resources and generated the metadata for the story:
- It first executed AlNoamany's Algorithm:
- Discovered the Memento TimeMaps for the collection
- Analyzed these TimeMaps and reported the memento URI-Ms that were on-topic
- Filtered the content of those URI-Ms to find non-duplicates
- Filtered the content of those URI-Ms to find English language documents
- Sliced the collection by memento-datetime
- Clustered the mementos in each slice by Simhash distance
- Ranked the mementos in each cluster by a ranking equation
- Filtered each cluster for the highest ranking mementos
- Ordered each memento by publication date
- It used Archive-It Utilities to extract all metadata from the collection, such as who created the collection and the collection's name
- It analyzed all mementos to automatically discover the most frequent sumgrams and named entities present in the overall story
- It analyzed all images in these mementos to automatically select the best image for the overall story
- It then formatted the data for the story based on all of this input
- Raintale took the input from Hypercane and rendered the final product with information supplied by MementoEmbed
