Demographic and Health Surveys (DHS)
always a good source
901 Matching Annotations
- Mar 2020
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sasan-faraj.github.io sasan-faraj.github.io
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acquired their data about tuberculosis through the “National TB Registry maintained by the National Centre for Tuberculosis and LeprosyControl
good, were lat & longs for observations included in the dataset?
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Poisson regression models
good
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justified through Amartya Sen’s definition of human development
I agree
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impact the vaccination coverage in the vaccination rates for influenza among African American aged 50+ years, specifically looking at crime rates, housing vacancies, vehicle availability, and other demographic changes
interesting comparative source
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create a methodology in order to accurately determine where the clusters are
I think you are referring to the random displacement within the 2 or 5km radius?
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Demographic and Health Surveys (DHS) which produce cluster-level data. Incorporating a Bayesian hierarchical model through Markov Chain Monte Carlo methodology, they created a 1 x 1km resolution map, displaying the vaccination coverage of children under the age of five, separating the age group into different categories/levels.
excellent
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Utazi, C.D
great source
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The inherency of this topic is what requires the most research. As will be discussed below, unsafe conditions and lack of resources relate to low vaccination coverage, but no research has been done to see if crime rates relate to vaccination coverage, curbing the need for vaccination data.
excellent
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In fact, the Mayo Clinic analyzes that there are over 200,000 deaths per year to rotavirus.
Through analysis, the Mayo Clinic estimates there are over ...
good significance
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maxwellfonss.github.io maxwellfonss.github.io
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It is a big topic. Some thoughts.
(1) There seem to be two different areas of investigation here, first topics related to rural China, such as the plausibility of insurance programs, and then also urbanization along the eastern coast of China and its many facets. Perhaps pick one area and focus on it. You touched on the use of a random forest model to describe the population distribution throughout China. You also touched on internal migratory patterns a bit. There are lots of different geospatial datasets and data science / machine learning methods you could choose from that would find application in these areas. It is also possible to consider urbanization throughout China in terms of its behavior as a complex system of cities. Thinking about urbanization in terms of fractals and Zipfs / power laws are also a possible route.
(2) If you want to keep exploring the larger system and its behavior, perhaps you could investigate how agent-based models are being used to describe large scale human behavior, analyze possibly future scenarios and assist with planning.
I'll be interested to see the data science direction you take with your critical analysis of the literature. Just keep going!
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Random Forest Models, or population distributions
good
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willing to pay
ok
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lack of information on weather trends
this could be interesting
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determine the necessity and viability of a privatized insurance market tailored to rural areas
ok
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policies
Papers with more of a policy focus can be informative to your introduction, but may have limited application within the context of your research.
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transportation networks
good
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katieanne95.github.io katieanne95.github.io
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Very good. Clear research question. Some thoughts.
(1) I think you may have two topics in mind as part of your annotated bibliography. The first topic relates to the factors that result in higher maternal mortality rates throughout Sub-Saharan Africa. You also investigate the brain drain as a contributing factor towards higher maternal mortality. Why not further investigate maternal mortality throughout sub-Saharan Africa as a topic and permit your literature review to serve as support for an emergent research question? I see your point in regards to the brain drain, but I think this may end up being a very complex area of research that expands your investigation in both scale and scope. What are the wage differentials driving those migrations? What about remittances? Will those health care workers simply go to other developed countries if blocked entry into another? What if infrastructure and social services in the sending country improve?
(2) I'm also wondering about geospatial data, data science / machine learning methods and other approaches towards improved description, analysis and prediction. Perhaps an agent based model could be considered that seeks to estimate the relationship between maternal mortality and loss of health care human resource capital, but I expect this will require a herculean effort. Perhaps a more realistic expectation is to begin with an investigation into maternal mortality. I expect you will find some sources that use DHS data with hierarchical bayesian models in order to predict large scale geospatial outcomes across a region. Another area that is likely ripe for investigation is accessibility via transportation networks, consideration of CDR data and transportation modeling. Also you touched this a bit in one of the later annotations, but cost, access to medicine and also the type of medical expertise necessary in order to execute a caesarian section are also factors. It's complicated for sure!
Just keep going!
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Attempting to bring down this cost by staying at the hospital for a shorter time or bypassing the surgery altogether will greatly increase the mother’s and/or child’s chance of complications or even death.
Perhaps distance / access to health care facilities is also prohibitive?
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cost as a major factor
ok
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pull factors
very good, wage differentials are likely a big part of it I would guess
Do remittances resulting from these salary increases demonstrate any positive outcomes in the source nation?
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push factors
ok good
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Nigeria has had 2158 physicians leave for the United States, the most of any country in the region
also interesting
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Of the 771,491 licensed physicians in the United States in 2002, 23% received training in a country outside of the United States.
interesting
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jrmartinez01.github.io jrmartinez01.github.io
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Really good stuff. Your research focus is very clearly defined. Some thoughts.
(1) Migration patterns are such a big topic that it can be difficult to know where to start in terms of geospatial data, data science / machine learning methods / models etc...A traditional starting point for thinking about migration is in terms of push factors and/or pull factors, more traditionally within the context of rural to urban migration. The scope and scale of what you are investigating is of a much greater magnitude and complexity than these traditionally considered foundations from development economics. Additionally, thinking of migration of this magnitude in terms of only human movement and behavior, likely over simplifies the problem. For example, we could perhaps use CDR data to infer the origins and destinations of where people are coming from and where they wish to go as part of a transportation system model (even if it is by foot or mixed mode). I think you need something that seeks to accomplish far more than simply transport behavior and movement, because you also wish to understand the motivations behind why people choose to leave (push factors) as well as the reasons they are attracted to some location (pull factors). I think looking into agent based models as a data science method for describing, analyzing and potentially predicting migration throughout North America might be a good place to start. A simulation system, such as an ABM, may incorporate different model that address factors at the origin (crime as a push factor) as well as at the destination (income differentials, as discussed by Todaro). There is simply a lot to think about here.
(2) It might be helpful to reflect back on some of the historical references. Todaro is an often cited source.
https://www-jstor-org.proxy.wm.edu/stable/1807860?seq=1#metadata_info_tab_contents
Another good one to consider is Sir Arthur Lewis and his Economic Development with Unlimited Supplies of Labour. Please let me know if you can't find a copy of his 1954 essay that earned him the Nobel Prize.
Another good source, is WIEGO.
Just keep going!
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geo-tagging
interesting
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migration
migration is central to your topic, I think there are some historical documents that might be helpful
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low levels of infrastructure and standards of living
good
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If Mexico’s government increased infrastructure for its citizens and provided a way to decrease violence within the nation then there could potentially be a decrease in migration for Mexico in the United States and would impact the human development of Mexican citizens without the need to leave their beloved homes.
good
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I focused on the topic of human migration patterns to investigate if a correlation between increased security and increased mortality existed
Good, very clearly defined
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bmlamoureux.github.io bmlamoureux.github.ioworkshop7
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Excellent stuff. Definitely on the right track. A few thoughts.
(1) You research is focused upon both the immediate impact from a natural disaster on the built environment as well as how people move in evacuation. I think these are two different areas of investigation. If you are interested to investigate the immediate impact of a natural disaster on the built environment, you are more likely to use satellite data, things like LiDAR and other types of high resolution images that can reconstruct urban areas in great detail. Three dimension envelopes and building signatures can also be construed from such data. On the other hand if you are interested in human behavior, movement and transport activities you will more likely be interested in using CDR data with a number of different types of models that are actively under development (variants or children of gravity models). You should probably pick one area or the other, because I expect each one will expand into becoming massive topics for in-depth investigation.
(2) Your research question is very clearly defined. Some of the ideological dimensions are also interesting. As you progress be sure to incorporate your ideological foundations into your introduction and basis for your argument (i.e. the 3-T framework).
Just keep going!
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An estimated 63,000 persons (197,484 SIM cards) were located in Port-au-Prince on the day of the Earthquake, but left 19 days after. This means that 20% of Port-au-Prince’s population contributed to the net outflow of people, due to the tragedy.
Great data and description of human behavior and movement. Did the authors use a model with the CDR data?
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Each SIM card represented about 3.2 persons
interesting
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The 3-T framework illustrates three different boundaries: syntactic, semantic, and pragmatic, each represents a different milestone of information
very interesting
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automatic object-oriented technique
interesting - did it interpret the three-dimension envelop of the building producing a kind of signature that mapped to one of those three classifications?
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optical images (15cm of spatial resolution) combined with height data (LiDAR, 1m of spatial resolution) measured building damage throughout the capital
good, high resolution, geospatial data -- LiDAR is very effective description of the natural and built environment in three dimensions
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Disaster management and relief in low income countries, such as Haiti, is very short of sufficient and can effect the lives of Haitians due to slow emergency responce times, leading to higher mortality rates.
OK. Can you further quantify harms and their significance?
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zametzger.github.io zametzger.github.io
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Very good. Your research focus is very clearly defined. A few thoughts.
(1) You are investigating the possibility of negative impacts from climate change directly upon neonatal outcomes and possibly other dimensions of newborn health, childhood and maybe also maternal aspects? It's a more than worthy topic that you have establish a solid foundation towards investigating. The challenge now is where to find data and methods that are aligned with your focus.
(2) It might not be a bad idea to reverse the perspective a bit, and start with factors that contribute to childhood wellbeing and then investigate links to climate change. Questions that relate to demographic cohorts, like under 5 year old age groups, are likely to have some kind of hierarchical bayesian model used with DHS or other sources of survey data. These same models also leverage geospatial covariates that describe environmental factors, such as precipitation, land cover etc...This might be a good angle towards designing an approach to the problem.
(3) Your work would benefit from identifying sources that incorporate big / high dimensions data, machine learning methods and other statistical approaches. Keep looking, they can be a bit hard to find at times, due to the fact that much of what we are searching for truly is state of the art, but they are out there.
Just keep going!
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Cox proportional hazard modeling
Cox is an interesting model - has many applications beyond the standard approach (which I think you have referenced here)
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Nicaragua Demographic and Health Survey (DHS)
good
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Rural communities are known to have lower chances for economic prosperity
perhaps education also has something to do with this?
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They were then able to identify younger sexual experiences had a correlation to a lack of education and financial support
interesting
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raspatory
watch spelling
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higher temperatures result in an increase in malaria and other diseases
ok good
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What can be done at an administrative level for pregnant women and their children experiencing issues as a result of climate change?
good, very focused research question
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meredithwebb.github.io meredithwebb.github.io
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Very good. Some thoughts.
(1) From your annotations I gather that you are focusing more on treating malaria as a vector borne disease after infection, while also considering some of the preventative measures that have already been implemented. Can you comment on how effective malaria vaccination strategies have proven to be thus far? Likewise, how effective have preventative strategies been (such as bednets), and were there any unintended consequences?
(2) Places like Florida have suffered from vector born diseases in the past, but how have they effectively eradicated the disease? Does it make sense to follow a similar path?
(3) Is there any value in investigating the use of geospatial covariates as predictors of malaria prevalence? Are there any machine learning approaches that are proving to be effective in identifying sources?
Good work! Just keep going!
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PMI program implementation
What intervention was introduced to reduce exposure?
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difference-in-differences analyses
Is this a subtype of another type of statistical model?
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methods by which pregnant women are being vaccinated
have malaria vaccinations proven to be effective?
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This was important to the advancement of treatment by identifying a regulatory pathway and demonstrating that the large clinical trials necessary for approval could be conducted in Africa
interesting
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Refresh Consultative Panel. (n.d.). malERA: An updated research agenda for diagnostics, drugs, vaccines, and vector control in malaria elimination and eradication. Retrieved from https://journals.plos.org/plosmedicine/article?id=10.1371/journal.pmed.1002455
year?
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agenda for malaria advancement
policy focused articles can contribute to introducing, defining and describing the problem but may not focus enough on new methods
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Demographic and Health Surveys (DHS)
good data source
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odds of obtaining malaria are lower
good, sounds like an odds ratio model
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two million deaths are recorded every year, and out of those cases, half of them are children in sub-Saharan Africa
harms, significance - good
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glburgin.github.io glburgin.github.ioAssignment 114
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Very good. Your research focus is clearly defined. Some thoughts.
(1) I encourage you to focus on the datasets and methods being used in order to better describe, analyze and predict vaccination coverages. What are some of the geospatial covariates? Why is it important to include them in the model when estimates correlation amongst variables? Are you able to identify the name of the machine learning method being used by Utazi and his colleagues?
(2) I also encourage you to think about what these models are actually predicting and why that is helpful in better understanding vaccination coverages. Is there some demographic dimension of the population that helps to better understand how and where vaccinations are effective? Is it helpful to have an idea of age structures? Other spatially descriptive aspect of the population?
It's a very good basis for your literature review. Just keep going!
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Geospatial datasets were also used to compare other external environmental factors that may be enhancing the mortality rates
Good, can you identify which geospatial dataset were used? Did they identify the type of model / machine learning approach the authors used in their research?
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Utazi, E.
Another good source
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map and predict, “1x1 km spatial resolution in five low- and middle-income countries to identify areas that are under-vaccinated via each delivery method.”
very good, are you able to identify the method the authors used in order to make this prediction? Was it a type of bayesian model?
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Demographic and Health Surveys data
good
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Edson Utazi
good source
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Will there be a day that vaccine coverage will reach 100% and reduce the number of unnecessary infantile and child deaths?
good
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GeoTIFF raster, CSV, and code files were turned into black and white mapped images of Africa, visually representing the gradual increase in the use of the DTP vaccine
good, includes a temporal dimension
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183 population-based surveys
OK, did they say more about the survey data? Are these DHS surveys?
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pixel-level map estimates were created
good
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Additionally, they are questioning whether or not the 86 percent global DTP vaccine coverage rate will ever be raised to 100 percent and how human development needs to progress in order to get there.
A good source that helps to introduce and describe the problem you are investigating.
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census reports or population-based surveys
ok
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infants have a 70 to 100 percent chance of dying
significance
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infantile mortality rates
harm
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anastasiamavrakis.github.io anastasiamavrakis.github.io
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Superb. Some thoughts.
(1) I will be interested to find out in which direction you go with your research question. Will you focus more on targeting and delivering aid for efficiency and those who are most in need? Perhaps you will also annex questions that relate to climate change, food security and agricultural production and natural resource management. My sense is that staying focused and drilling down on a more accurate description of where the problem exists is likely your more effective path forward at this point.
(2) Keep moving forward with your investigation of big data (CDR), machine learning / deep learning methods (CNNs, LASSO regressions etc...). I will be very interested to learn what you have added to your literature review in your next step forward.
Just keep going!
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Least Absolute Shrinkage and Selection Operator (LASSO) or ridge regression prior to the final model
super!
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all detail records (CDR), which are extremely labor and cost efficient
excellent
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dietary diversity score
excellent stuff!
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The datasets utilized are created by LARS-WG, a weather generator and the method used to analyze this data and create a model was through multiple regression analysis
How accurate were their weather predictions?
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potentially giving them the freedom of escaping food insecurity
excellent
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Rwanda is a very agriculturally-based society that obtains most of its food intake through these crops, and thus predictions of future crop yields can allow for shifts in agricultural methods to promote productivity.
did they consider climate change in their analysis?
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implemented a stochastic weather generator in order to calculate the average temperature and precipitation records
interesting
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Overall, the question that Jean hopes to answer is whether these satellite images when combined with transfer learning can be used in order to accurately predict poverty measures effectively on a lower scale.
Excellent source.
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perform nonlinear mapping from each input image to a precise vector representation
excellent
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convolutional neural network (CNN) mode
excellent
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deep learning model
good
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utilizing high-resolution satellite imagery in order to correlate landscape features with economic data
good
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most of this data is not publicly accessible
or it is at least very difficult to access
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household living standard indicators
good survey and source of data
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Cartographic visualizations of indicators of poverty
Have they validated their descriptive accuracy?
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thus, making the achievement of any sustainable development goals all the more difficult
edit
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public access spatial data
a bit confusing -- public access to spatial data?
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The harms that I am looking into is the role that poverty plays in the daily lives of those living in Rwanda, and how it consequently leads to food insecurity, as both of those issues are closely intertwined in this nation
Excellent. Clearly defined relationship between poverty and food insecurity.
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bwilliams01.github.io bwilliams01.github.io
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Very good. Some thoughts.
(1) I encourage you to dive deeper into some of the machine learning methods that offer a promise of improved description and analysis over classical statistical models. Starting with DHS data and some of the technical reports are likely a very good beginning point. Hierarchical bayesian models offer a lot of promise, but I expect there are others as well.
(2) There seems to be two dimensions to your problem with regard to malnutrition. Are you going to focus on food security, malnutrition as it relates to post natural disaster, or from a more long-term endemic perspective? If the later, I expect you might also want to focus on poverty and why it is prevalent.
Keep going!
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I think it is important to evaluate certain issues that were relevant following the 2010 earthquake because it will support my research topic
I agree
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This source overall does not directly relate to my problem topic, but adds reasoning and evidence on how the earthquake affected Haitians directly.
Could it potentially be used in relation to your research question?
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DHS data
good
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aggregate-level regression
ok
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Alongside food insecurity, healthcare in Haiti is severely inadequate
good
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pkitijarurat.github.io pkitijarurat.github.io
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Good work. Some thoughts.
(1) Dive deeper into some of the machine learning methods that are being used to spatially model malaria. You mentioned bayesian information criteria, do others exist?
(2) Which geospatial covariates are the best predictors of malaria prevalence? Is there any value in describing populations demographically? What value is there in using CDR data to model human movement in order to better understand transmission?
I think you should have no problem finding additional sources to further support your investigation. Just keep going!
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The number of parasite offspring at each case location is defined by spatial covariates such as weatherm geography, population densitym and urbanicity
good
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Understanding the impact of human mobility helps design intervention methods to prevent malaria and this leads to the expansion of freedoms for the relevant populations.
good
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Linear regression and the Bayesian information criterion (BIC) checked correlations between covariates which affects mosquito counts
Will you investigate these methods further?
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DHS and MIS
good
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data-science methodological analyses
which method did they use?
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Surveys are typically time-consuming, use a lot of resources and cost a lot of money, so examining them can lead to a survey-design which maximizes effectiveness
Do you think rolling microcensuses could eventually be more effective?
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an assessent of precision in nationally-representative surveys
good, use of surveys
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Overall, the authors are trying to reach the full understanding between connectivity, transport, with the spread of infectious diseases.
good
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Understanding how regions are connected through transport networks is extremely valuable for understanding how diseases spread.
good
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What is the most effective way of gathering, monitoring, and decision-making for decreasing malaria prevalence in sub-Saharan Africa?
Excellent first take at a broader research question
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Data science, such as the use of mobile phone data to map human movement, or satellite imaging to determine water sources, can help gather information needed to design and implement intervention methods for the elimination of this disease
good
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niranair.github.io niranair.github.io
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Excellent. Some thoughts.
(1) Rank which deep learning / machine learning approaches you think currently present the most promise in this area of describing, analyzing and predicting an outbreak of an infectious disease.
(2) I think its worth considering if you want to further narrow your focus to only infectious diseases or also include vector borne diseases.
(3) Look at some of the SIR models that use ODEs to describe and predict spatial epidemiological spread of an infectious disease.
https://scholar.google.com/citations?user=rMKp4WoAAAAJ
(4) Look at some more traditional approaches to modeling transportation systems and consider if they will serve as more accurate proxies for how the disease is being spread. How are tradition transportation system models incorporating CDR data into their methodologies?
https://scholar.google.de/citations?user=7V5K8KYAAAAJ&hl=en
Just keep going!
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A problem with the data is that there is class imbalance, meaning that most areas had on-going outbreaks — 86% of the data contains positive zika cases
Do you mean in the resulting predictions?
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This article was different than the others because it was not a formal research paper but a research project with an informal write-up
Perfectly fine and very ripe for your purposes.
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models identified sink and source areas
Is this some kind of gravity model?
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construction of a weighted network of movements between each phone catchment area
good
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potential malaria risk areas and defining ‘source’ and ‘sink’ regions
good
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After testing, the mobile phone and radiation model worked much better than the random and levy-distribution models when predicting human movement.
How are they validating these simulations. Are they using human transportation behavior and activities as a proxy for disease spread? Are they first validating that the transportation system has been accurately modeled? Usually some kind of maximum entropy is incorporated into this aspect of the ABM. I see the radiation model is also referenced.
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where agents are moved from one grid cell to another
is this cellular automata?
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Dengue dynamics are modeled by using a stochastic population model based on the ordinary differential equation model
Good. Are transportation networks incorporated as well?
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agent-based transmission model
good
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This paper offers solutions to which machine learning models would be best to approach infectious disease dynamics. This used mobile phone data from social media, but CDR data has the potential to improve the models’ predicting abilities.
Great source. Looking forward to more of this.
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The dropout is a machine learning technique in which some data is ignored during training to increase the robustness of a model and prevent overfitting.
good, is the cross-validation?
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Deep learning neural networks
Do they tend to overfitting models? How does it improve individual stats while advancing the knowledge corpus?
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Keras — a high-level open source neural network API for python — to build the machine learning models
good (we'll use it with R too)
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A data-based infection disease prediction model is beneficial because it can handle situations in real time, where as the current statistical based methods have delays in reporting.
Excellent
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The authors compare the commonly used ARIMA (Autoregressive Integrated Moving Average) model and OLS (Ordinary Least Squares) model to ten different LSTM (Long-Short Term Memory) models and ten different DNN (Deep Neural Network) models.
super!
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This paper shows that mobile phone data has the power to quantify human movements and relate these population dynamics to the spread of infectious diseases in third-world countries where disease epidemics are high, and available data is low
Did Wesolowski introduce a model? Or was this mostly using CDR as a descriptor of behavior?
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For malaria, disease data was derived from parasite prevalence maps that were used in conjunction with information on travel between settlements to understand the flow of malaria parasites.
good
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To remedy this issue, much of the CDR data being used is anonymous so that the information cannot be tracked back to specific individuals.
good
-
susceptible and infected persons
Did they discuss the SIR model? Was there mention of using ODEs as well?
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WIth the rise of mobile phone communication, there is ample real-time data on human movement in these third world countries.
excellent
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Third world countries present the highest rate of infectious disease spread, and there is also a lack of data surrounding human movement.
Excellent
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suditishyamsunder.github.io suditishyamsunder.github.ioworkshop12
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Excellent work. Very clear focus and narrowly defined problem. A few thoughts.
(1) Further articulate your research question. Are you planning to focus on access to health care services as a solution to maternal complications and improved neonatal outcomes? Further align your research focus with the harms that you have identified as well as their significance.
(2) Which data sets and machine learning methods have you identified? DHS data with a hierarchical bayesian model would be a good path forward. You will find lots of examples on flowminder, world pop and elsewhere. Are there other, state-of-the-art machine learning methods that serve as a worthy comparison to the hierarchical bayesian model?
Just keep going!
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hotspots
excellent
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Bayesian hierarchical regression modeling approach to map adolescent first births at a district level with estimates of uncertainty
excellent
-
Demographic and Health Surveys (DHS)
very good
-
the basis for creating new planning services for maternal and newborn healthcare or as denominators
good
-
differences in the quality of health care facilities
good
-
data for this study was collected from the Ghana EmONC survey
good
-
every year, approximately 2.9 million neonatal babies die, and this corresponds to 44% of deaths in children less than 5 years old
significance
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They discovered that in Mwanza 27% of women had reported birth complications as compared to the 80% in Dar es Salaam. In Ruvuma, 83% of rural births take place in health facilities, but in Rukwa the number is a mere 21%
Did the authors provide any evidence as to this disparity?
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so much variation
good
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Every year, 2.9 million neonates die and saving even some of these newborns would improve the freedom of life and help achieve the goals of human development
significance
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73% of neonatal deaths occur during this period
good
-
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ceh-2000.github.io ceh-2000.github.io
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Monte Carlo simulation and Human Health Risk Assessment (HHRA)
Good, you could elaborate on this method and potentially compare it with your kriging example
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Mukherjee and colleagues investigate a similar situation in the Birbhum district, located in northwest India.
interesting
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groundwater quality
I wonder how deep these wells go
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"Kriging" gridding method
Excellent -- kriging is definitely a good method to focus upon. One of its data science "descendants" is the spatial random forest method. See https://msu.edu/~ashton/classes/866/notes/lect19/index.html
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Saharanpur's residents are mainly employed in agricultural practices like paper-making and tobacco farming but are also employed in smaller industries like textiles, cardboard-making, and wood-carving. Groundwater is the most potable form of water, yet waste from industries, domestic users, and agriculture depletes both water quality and quantity in India. This study built upon related research that used GIS and remote sensing to show that urbanization and industrialization increased in the Saharanpur district by 65.5-77.04% from 1988-1998. Interestingly, the maximum urbanization density is dependent upon hand well availability. Therefore, water impacts and is impacted by urbanization. Development is determined by proper resource management and whether people have access to certain freedoms, including health.
What is the significance of toxicity from industrial effluent when compared with other sources? Is the impact of trace metals in our water (point sources of pollution) as significant as the impact from non-point sources of pollution (agriculture). In terms of scale, has the negative impact from sprawling low density residential development surpassed concentrated industrial operations. What about things like CAFOs are they signficant?
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While water quality was adequate, this study continues to emphasize the importance of preserving groundwater as part of human development in India.
How are you categorizing your study of water use? Are you focusing on potable uses of water? Agricultural demand? Demand from urban areas?
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Most sources that address groundwater access in India focus on water pollution. Here, Gopinathan and colleagues use data science techniques to examine quantity over quality. By determining factors highly correlated with groundwater presence, they create a groundwater regime for the Morappur region that could aid conservation efforts.
I wonder if there was consideration of preservation of lands that serve as groundwater recharge areas or salt-water intrusion in locations closer to the coast.
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One step towards improving access would be to study groundwater in smaller regions and offer precise, data-driven recommendations to policymakers. The studies mentioned here aim to meet this goal.
Excellent
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He explains how "individual freedom" yields "social development."
Good
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Across many regions of India, lack of surface water forces residents to look underground. 30% of freshwater in the world comes from groundwater, so it is imperative to conserve this natural resource. India makes up 16% of the worldwide population, and the population and urbanization in India continues to increase. Water is a fundamental need; it is used for drinking, cooking, farming, and in industry
Succinct yet comprehensive approach to the problem
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ceh-2000.github.io ceh-2000.github.io
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Annotated Bibliography
link doesn't work, but I found the .html from slack
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- Feb 2020
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tyler-frazier.github.io tyler-frazier.github.io
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White Paper: Teaching and Learning Subcommittee
Data Science faculty annotations that will be used to develop a response to this white paper on Teaching and Learning at William & Mary. We should note: (1) areas of alignment, (2) areas of divergence, and (3) missing areas.
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jrmartinez01.github.io jrmartinez01.github.io
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Excellent work filled with lots of good analysis. My only comment is to further emphasis the main idea you wish to impart upon the reader. Thanks for your response!
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breath
breadth
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This would allow a much faster and long term approach to maintaining the human development of a nation and increase other economic, social, and (possibly) political factors
excellent!
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glburgin.github.io glburgin.github.ioworkshop3
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Excellent! Perhaps introduce your own perspective earlier in the piece and work towards concluding with punch. Chock full of good stuff. Dense, insightful and fluid.
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took the topic of human development into an anti-economic view
good
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With human development being majorly influenced by big private companies, it is easy to make decisions that generate profit for the company rather than focus on truly enriching human life.
good analysis
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abdi-hassan.github.io abdi-hassan.github.io
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Very good responses. Please work towards identifying common themes to compare and contrast from the two different sources. I suggest to start with descriptive elements then proceed to an analytical section that evidences from the two talks. Finally, what is the most important idea you with to impart upon the reader? Introduce it at the outset with a hook, echo it throughout your work and conclude with it as a powerful take home message.
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vtran03.github.io vtran03.github.io
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Nice response. What is the most important idea you wish to share with the reader. Job well done!
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batbaat.github.io batbaat.github.ioworkshop1
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Nice response. What is the most important idea you wish to impart upon the reader? See if you can connect your introduction with your conclusion. Job well done!
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fpate.github.io fpate.github.io
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Nice response! What is the most important idea you wish to impart upon your reader? Job well done.
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Averages lead to an over-simplification of data and it perpetuates the concept that there is a “normal” or “standard” level for countries to be at which completely disregards the distnctiveness and variability of countries around the world.
exactly - excellent
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tessieb.github.io tessieb.github.ioWorkshop1
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Very nice response. Lots of information, which demonstrates your competent understanding of the material. Job well done!
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sydneytaylr.github.io sydneytaylr.github.io
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Nice response. You provide a fluid and coherent interpretation of the material. Lots of great stuff here.
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issues
redundant
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intertwining
nice word choice
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abdi-hassan.github.io abdi-hassan.github.io
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Very good responses. Please work towards identifying common themes to compare and contrast from the two different sources. I suggest to start with descriptive elements then proceed to an analytical section that evidences from the two talks. Finally, what is the most important idea you with to impart upon the reader? Introduce it at the outset with a hook, echo it throughout your work and conclude with it as a powerful take home message.
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There is the one side of this where only some humans (the elite perhaps in whatever context we are in) have access to these exapnding capabilities and another side where access (lets use money as a conduit for access here like being able to afford better medicine and health advances) must be met with advancement.
good analysis
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sasan-faraj.github.io sasan-faraj.github.io
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Nicely constructed responses. Now please work towards integrating and synthesize along concepts and themes, rather than first describing one talk and then subsequently the other. Continue to build upon your existing work with a newly constructed analytical section.
What is the most important message you wish to impart upon the reader? Try to add a hook at the outset that captures the interest of the reader as well as a conclusion that punches with the main take away message. Interlace, weave and echo this idea throughout the work.
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rshe01.github.io rshe01.github.io
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Very good work. Now please try to integrate and synthesize along concepts and themes, rather than first describing one talk and then subsequently the other. Very good analysis. Please continue building upon your existing work, while subsequently following with an analytical section.
What is the most important message you wish to impart upon the reader? Try to add a hook at the outset that captures the interest of the reader as well as a conclusion that punches with the main take away message. Interlace, weave and echo this idea throughout the work.
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zaserman.github.io zaserman.github.io
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Several good points are offered, but now work towards a fluid, coherent and engaging response that also seeks to provide insight. Try to restructure your response into two sections (paragraphs) that synthesize and integrate elements from both of the talks along themes or in terms of concepts. I suggest beginning with descriptive elements from each source and then secondly, follow with analysis evidenced from both Jahan and Rosling.
Also, what is the most important message you wish to impart upon the reader? Are you able to conclude with a take-away message? Try adding an introductory - hook, first sentence to capture the readers attention and engage them from the onset.
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freakinsweet.github.io freakinsweet.github.io
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Several good points are offered, but now work towards a fluid, coherent and engaging response that also seeks to provide insight. Try to restructure your response into two sections (paragraphs) that synthesize and integrate elements from both of the talks along themes or in terms of concepts. I suggest beginning with descriptive elements from each source and then secondly, follow with analysis evidenced from both Jahan and Rosling.
Also, what is the most important message you wish to impart upon the reader? Are you able to conclude with a take-away message? Try adding an introductory - hook, first sentence to capture the readers attention and engage them from the onset.
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taegonjd.github.io taegonjd.github.io
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Good response. Now, try to restructure your work into a section (paragraph) that synthesizes and integrates your descriptive elements from the two talks. Then secondly, follows with a section that provides analysis evidenced from both Jahan and Rosling.
Also, what is the most important message you wish to impart upon the reader? Are you able to conclude with a take-away message? Try adding an introductory - hook, first sentence to capture the readers attention and engage them from the onset.
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sarenaoberoi.github.io sarenaoberoi.github.io
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An exceptionally well written response that is fluid, coherent, engaging and insightful. Now, try to restructure your response into a section (paragraph) that synthesizes and integrates your descriptive elements from the two talks. Then secondly, follows with a section that provides analysis evidenced from both Jahan and Rosling.
Also, what is the most important message you wish to impart upon the reader? Are you able to conclude with a take-away message? Try adding an introductory - hook, first sentence to capture the readers attention and engage them from the onset.
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justinwmaynard.github.io justinwmaynard.github.io
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Great response. Could you integrate and synthesize the descriptive elements you have identified from the two talks by concepts, ideas or themes. Then could you further integrate by following up with analysis that is evidenced from the two talks? Also, what is the main take-away message you wish impart upon the reader? Try to add a hook at the outset that captures the interest of the reader (the existing is pretty good) as well as a conclusion that punches with the main take away message. Interlace, weave and echo this idea throughout your work.
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kndelong.github.io kndelong.github.io
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Lots of great stuff here. Are you able to integrate and synthesize along concepts and themes, rather than first describing one talk and then subsequently the other. Good analysis. Please continue building upon your existing work, while subsequently following with an analytical section.
What is the most important message you wish to impart upon the reader? Try to add a hook at the outset that captures the interest of the reader as well as a conclusion that punches with the main take away message. Interlace, weave and echo this idea throughout the work.
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Give a man a fish, and you feed him for a day. Teach a man to fish and you will feed him for a lifetime
Good
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aprotiva.github.io aprotiva.github.io
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Excellent work. Are you able to integrate and synthesize along concepts and themes, rather than first describing one talk and then subsequently the other. Very good analysis. Please continue building your existing work, while subsequently following with an analytical section.
What is the most important message you wish to impart upon the reader? Try to add a hook at the outset that captures the interest of the reader as well as a conclusion that punches with the main take away message. Interlace, weave and echo this idea throughout the work.
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can lead to inneffective processes and results
good analysis
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Jahan mentioned that the two variables, capabilities and opportunities to use capabilities, need to remain in equillibrium for maximum effectivness.
good ... two sides of the equation (which include the different variables)
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kennedycohanley.github.io kennedycohanley.github.io
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Lots of good stuff here. Try to restructure your response into two sections (paragraphs) that synthesize and integrate elements from both of the talks along themes or in terms of concepts. You could begin with descriptive elements from each source and then secondly, follow with analysis evidenced from both Jahan and Rosling.
Also, what is the most important message you wish to impart upon the reader? Are you able to conclude with a take-away message? Try adding an introductory - hook, first sentence to capture the readers attention and engage them from the onset.
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Rosling gives data in a different way.
good comparative statement
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She
edit
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Overall, he emphasized how important data science was to human development, and how while the use of data science was impactful, it would only be helpful if it is publicly available.
I think you may be referring to the Rosling talk?
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The overlying picture was most about how to not get caught up in the numbers, and focus on using the data and technology in a way where those who need help can have quicker access to it.
Good synthesis
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maxwellfonss.github.io maxwellfonss.github.io
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These are two thoughtful and well written responses that are fluid, cogent and insightful. Now, try to restructure your response into a section (paragraph) that synthesizes and integrates your descriptive elements from the two talks. Then secondly, follows with a section that provides analysis evidenced from both Jahan and Rosling.
Also, what is the most important message you wish the reader to receive? Are you able to conclude with a take-away message? Try adding an introductory - hook, first sentence to capture the readers attention and engage them from the onset.
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katieanne95.github.io katieanne95.github.ioworkshop1
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Excellent work. Are you able to integrate and synthesis your descriptive elements from the two talks into singular points, and then present them as concepts or themes? You begin to approach this design in your first paragraph. Please continue with the analysis and adding value to your description of the two talks. Try to add a hook at the outset that captures the interest of the reader as well as a conclusion that punches with the main take away point you wish to impart upon the reader.
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chase4eck.github.io chase4eck.github.io
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Great work. Are you able to integrate and synthesis your descriptive elements from the two talks into singular points, and then present them as concepts or themes? Please continue with the analysis and adding value to your description of the two talks. Try to add a hook at the outset that captures the interest of the reader as well as a conclusion that punches with the main take away point you wish to impart upon the reader.
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Jahan discusses the nature of choice, or free will
good, could you further elaborate and analyze this aspect of his talk?
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ronanchance.github.io ronanchance.github.io
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Good work . Continue working towards integrating and synthesizing along concepts and themes, rather than first describing one talk and then subsequently the other. Continue with your analysis perhaps also restructuring in a manner that reflects concepts. Also, what is the most important message you wish to impart upon the reader? Try starting out with an introductory hook.
I think you could have further optimized the use of your notes to evidence further analysis.
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In the pursuit of human development, there is a common misconception that economic development is the primary measurement for success.
good
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dj-olson.github.io dj-olson.github.io
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Lots of superb stuff here. Continue working towards integrating and synthesizing along concepts and themes, rather than first describing one talk and then subsequently the other. Continue with your analysis perhaps also restructuring in a manner that reflects concepts. Also, what is the most important message you wish to impart upon the reader? This should be your concluding take away, that has been laced and interwoven throughout the work while also echoing your introductory hook.
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yidecui.github.io yidecui.github.io
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Lots of great stuff here. Work towards integrating and synthesizing along concepts and themes, rather than first describing one talk and then subsequently the other. Continue with your analysis perhaps also restructuring in a manner that reflects concepts. Also, what is the most important message you wish to impart upon the reader? Nice introduction and conclusion. See if you are able to connect the two from beginning to end.
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To improve the level of human development, what we need is not only a comprehensive understanding but also a targeted, scientific way.
excellent
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Unlike Jahan who cares more about what to do, Rosling focuses on how to do.
excellent
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People should not merely focus on the economy when they talk about human development
Good intro - captures my attention
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Selim Jahan saw the picture of human development in a very macroscopical way. However, Hans Rosling’s view is more rational and scientific.
Nice transition
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helps
help
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miaaao.github.io miaaao.github.iomiao1
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Good response with lots of descriptive elements that have been derived from the two talks.
Try to work towards integrating and synthesizing along concepts and themes, rather than first describing one talk and then subsequently the other. Then continue with an analysis that is supported and evidenced by the sources. What is the most important message you wish to impart upon the reader? Consider this as your conclusion. Also, try to start with an introductory hook that captures the readers attention.
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