How Do We Use Science on a Daily Basis?

How Do We Use Science on a Daily Basis?
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link: http://dr-monsrs.net/tag/science-in-daily-life/
author: Dr.M on Science, Research, \u0026 Scientists

C O N T E N T S:

KEY TOPICS

  • Most landscape professionals whose work takes them into the field–crewmembers, field managers, area managers, etc. –use their scientific knowledge in the fields of horticulture, botany/biology and chemistry on an almost daily basis.(More…)
  • On a daily basis, Zurbuchen works to ensure that NASA’s science missions are part of a balanced portfolio that enable great science, help us unveil the unknown and facilitate a better understanding of our place in the cosmos.(More…)
  • In early May he spoke to young people in Gaza, many who, like him, are descended from refugees and are bitter about what good the future might hold when their daily lives are so bleak.(More…)
  • They create an invaluable reference library that can be used as a basis for next-gen environmental sequencing, also known as metabarcoding.(More…)
  • Takeda respects and includes a broad range of people and ideas in its daily operations.(More…)

POSSIBLY USEFUL

  • June 28, 2018 – Many animals use vocalizations to judge one another’s size and physical formidability when in competition for mates or other resources.(More…)

RANKED SELECTED SOURCES

KEY TOPICS

Most landscape professionals whose work takes them into the field–crewmembers, field managers, area managers, etc. –use their scientific knowledge in the fields of horticulture, botany/biology and chemistry on an almost daily basis. [1] A Reminder to All Students Check your Bronx Science email account on a daily basis. [2] The Carnegie team will also build a novel coral reef-monitoring system that ingests Planet satellite data on a daily basis to detect changes in coral reefs such as hot-water bleaching events or destruction from coastal development. [3] Takeda works to meet its responsibilities to stakeholders on a daily basis. [4] I want to share with you the kind of satellite imagery forecasters like me are using on a daily basis now, and show you how incredible it is. [5] That combination I think really works the best, so distribute the work, and on a day to day basis have people embedded, but make sure you have everyone coming back as a single group culturally to keep people feeling like one core team. [6]

On a daily basis, Zurbuchen works to ensure that NASA’s science missions are part of a balanced portfolio that enable great science, help us unveil the unknown and facilitate a better understanding of our place in the cosmos. [7] “With the increasing number of sensors that we use on a daily basis in agriculture, we are collecting terabytes of data each growing season, and precision agriculture has morphed into information agriculture,” Vellidis said. [8]

In early May he spoke to young people in Gaza, many who, like him, are descended from refugees and are bitter about what good the future might hold when their daily lives are so bleak. [9] The daily tasks of an environmental scientist depend on the place in which they work, the goals of a particular study, and their area of expertise. [10] The primary limitation for Zuckerberg, a billionaire with daily access to the world’s best engineers, was not technology, but rather having devices that could easily communicate with each other and Jarvis in a central, unified system. [11]

It reads, “God expresses in man the infinite idea forever developing itself, broadening and rising higher and higher from a boundless basis” ( p. 258 ). [9]

You can try and make changes to your appearance and start wearing accessories which might better indicate to people that you love bees and people that you work with on a daily basis might still forget that you’re trans, I mean, love bees. [12] The subject gives students opportunities for inquiry into the complex workings of our planet and the natural phenomena that affect us on a daily basis. [13] It is important for them to know the things that they will need to do on a daily basis as an adult. [14]

They create an invaluable reference library that can be used as a basis for next-gen environmental sequencing, also known as metabarcoding. [15] Time Off: this position will be compensated for 10 flexible holidays determined by the organization on an annual basis. [16] This position also qualifies for paid time off on an accrual basis. [16]

Takeda respects and includes a broad range of people and ideas in its daily operations. [4] Be smart: The heat will be sufficient to break at least daily record highs, as well as set records for the warmest overnight low temperatures. [17]

POSSIBLY USEFUL

June 28, 2018 – Many animals use vocalizations to judge one another’s size and physical formidability when in competition for mates or other resources. [18] Young students use a microscope for the first time, as they examine bacteria a “Discovery Day” organized by Big Brother Mouse, a literacy and education project in Laos. [19] The progressive education movement of the time supported the ideology of mental training through the sciences. [19] Physics education in high schools in the United States has suffered the last twenty years because many states now only require three sciences, which can be satisfied by earth/physical science, chemistry, and biology. [19] According to a report from the National Academy of Sciences, the fields of science, technology, and education hold a paramount place in the modern world, but there are not enough workers in the United States entering the science, technology, engineering, and math (STEM) professions. [19] The movement to incorporate a humanistic approach, such as inclusion of the arts (S.T.E.A.M.), science, technology, society and environment education is growing and being implemented more broadly in the late 20th century (Aikenhead, 1994). [19] Chemistry education is characterized by the study of science that deals with the composition, structure, and properties of substances and the transformations that they undergo. [19] Physics education is characterized by the study of science that deals with matter and energy, and their interactions. [19] At the majority of English schools, students have the opportunity to study a separate science program as part of their GCSEs, which results in them taking 6 papers at the end of Year 11; this usually fills one of their option ‘blocks’ and requires more science lessons than those who choose not to partake in separate science or are not invited. [19] In September 2006 a new science program of study known as 21st Century Science was introduced as a GCSE option in UK schools, designed to “give all 14 to 16 year old’s a worthwhile and inspiring experience of science”. [19]

Fewer year 10 students are choosing to study science for year 11, which is problematic as these are the years where students form attitudes to pursue science careers. [19] It emphasizes science educators to focus on a “limited number of disciplinary core ideas and crosscutting concepts, be designed so that students continually build on and revise their knowledge and abilities over multiple years, and support the integration of such knowledge and abilities with the practices needed to engage in scientific inquiry and engineering design.” [19] Knowledge Organization In order to become truly literate in an area of science, students must, “(a) have a deep foundation of factual knowledge, (b) understand facts and ideas in the context of a conceptual framework, and (c) organize knowledge in ways that facilitate retrieval and application.” [19] The science stream is one course up until year 11, meaning students learn in all of the branches giving them a broad idea of what science is all about. [19] In Scotland the subjects split into chemistry, physics and biology at the age of 13-15 for National 4/5s in these subjects, and there is also a combined science standard grade qualification which students can sit, provided their school offers it. [19] “Students’ views of science: A comparison between tertiary and secondary school students”. [19] An emphasis is teaching the scientific process so that students have a better understanding of the methods of science and can critically evaluate scientific evidence. [19] BAAS promoted teaching of “pure science” and training of the “scientific habit of mind.” [19]

“Public-private partnerships for maths, science and technology education” (PDF). [19] Home education is encouraged through educational products such as the former (1940-1989) Things of Science subscription service. [19] CBE-Life Sciences Education. 6 (3): 198-202. doi : 10.1187/cbe.07-03-0013. [19]

Examples of community-based programs are 4-H Youth Development programs, Hands On Science Outreach, NASA and After school Programs and Girls at the Center. [19] Media include TV programs such as NOVA, Newton’s Apple, ” Bill Nye the Science Guy “,” Beakman’s World “, The Magic School Bus, and Dragonfly TV. [19] Sharp is said to have established a model for Science to be taught throughout the British Public Schools. [19] In English and Welsh schools, science is a compulsory subject in the National Curriculum. [19] In this way, students actively develop their understanding of science by combining scientific knowledge with reasoning and thinking skills.” [19] To this end, Tapping America’s Potential is an organization aimed at getting more students to graduate with science, technology, engineering and mathematics degrees. [19] Other students who choose not to follow the compulsory additional science course, which results in them taking 4 papers resulting in 2 GCSEs, opposed to the 3 GCSEs given by taking separate science. [19]

The government has since expressed its desire that those pupils who achieve well at the age of 14 should be offered the opportunity to study the three separate sciences from September 2008. [19] The first and most prominent of these reforms was led by the Physical Science Study Committee at MIT. [19] The three conference committees appointed for science were: physics, astronomy, and chemistry (1); natural history (2); and geography (3). [19] The Committee of Ten met, and appointed nine conferences committees (Latin, Greek, English, Other Modern Languages, Mathematics, History, Civil Government and Political Economy, and three in science). [19] Each committee met in a different location in the U.S. The three science committees met for three days in the Chicago area. [19] This committee supported the citizen science approach focused on mental training and withheld performance in science studies from consideration for college entrance. [19]

“Both middle school/junior high school teachers and post secondary science instructors rate(d) process/inquiry skills as more important than advanced science content topics; high school teachers rate them in exactly the opposite order.” [19] Science is a universal subject that spans the branch of knowledge that examines the structure and behavior of the physical and natural world through observation and experiment. [19] The next step came when the British Academy for the Advancement of Science (BAAS) published a report in 1867. [19] The process of science, including such elements as the scientific method and critical thinking, is often overlooked. [19] Elementary science should focus on simple natural phenomena (nature study) by means of experiments carried out “in-the-field.” [19] If they wish to no longer study science, they can choose none of the branches. [19]

John Tyndall was also influential in the teaching of physical science. [19] As in many other countries, the science curriculum includes sequenced courses in physics, chemistry, and biology. [19] It is generally taught as a single subject science until sixth form, then splits into subject-specific A levels ( physics, chemistry and biology ). [19]

The traditional subjects included in the standards are physical, life, earth, space, and human sciences. [19] “Closing the educational gaps between science, technology, and society”. [19]

The learners may be children, college students, or adults within the general public; the field of science education includes work in science content, science process (the scientific method ), some social science, and some teaching pedagogy. [19] Science education is the field concerned with sharing science content and process with individuals not traditionally considered part of the scientific community. [19] Science education is most commonly broken down into the following three fields: Biology, Chemistry, and Physics. [19]

Informal science education is the science teaching and learning that occurs outside of the formal school curriculum in places such as museums, the media, and community-based programs. [19] Examples of informal science education include science centers, science museums, and new digital learning environments ( e.g. Global Challenge Award ), many of which are members of the Association of Science and Technology Centers (ASTC). [19] The National Science Teachers Association has created a position statement on Informal Science Education to define and encourage science learning in many contexts and throughout the lifespan. [19] While the public image of science education may be one of simply learning facts by rote, science education in recent history also generally concentrates on the teaching of science concepts and addressing misconceptions that learners may hold regarding science concepts or other content. [19]

As in England and Wales, science education in Australia is compulsory up until year 11, where students can choose to study one or more of the branches mentioned above. [19] In 2012 the National Academy of Sciences Committee on a Conceptual Framework for New K-12 Science Education Standards developed a guiding framework to standardize K-12 science education with the goal of organizing science education systematically across the K-12 years. [19] Reports by the American Academy for the Advancement of Science (AAAS), including Project 2061, and by the National Committee on Science Education Standards and Assessment detail goals for science education that link classroom science to practical applications and societal implications. [19]

Science education is given high priority and is driven by textbooks composed by committees of scientists and teachers. [19] Although at the college level American science education tends to be less regulated, it is actually more rigorous, with teachers and professors fitting more content into the same time period. [19] Public opinion surveys, however, indicate most U.S. parents are complacent about science education and that their level of concern has actually declined in recent years. [19] In recent years, business leaders such as Microsoft Chairman Bill Gates have called for more emphasis on science education, saying the United States risks losing its economic edge. [19] Titled A Framework for K-12 Science Education: Practices, Crosscutting Concepts, and Core Ideas, the publication promotes standardizing K-12 science education in the United States. [19] Prof Sreyashi Jhumki Basu published extensively on the need for equity in Science Education in the United States. [19] “The impact of changing scientific knowledge on science education in the United States since 1850”. [19]

The standards for science education provide expectations for the development of understanding for students through the entire course of their K-12 education and beyond. [19] Concern about science education and science standards has often been driven by worries that American students lag behind their peers in international rankings. [19] In 2013 a new standards for science education were released that update the national standards released in 1996. [19]

Developed by 26 state governments and national organizations of scientists and science teachers, the guidelines, called the Next Generation Science Standards, are intended to “combat widespread scientific ignorance, to standardize teaching among states, and to raise the number of high school graduates who choose scientific and technical majors in college [19] The first person credited with being employed as a Science teacher in a British public school was William Sharp who left the job at Rugby School in 1850 after establishing Science to the curriculum. [19] One key development was the founding of the first London School Board in 1870, which discussed the school curriculum; another was the initiation of courses to supply the country with trained science teachers. [19]

In November 2013, Ofsted’s survey of science in schools revealed that practical science teaching was not considered important enough. [19] The initial development of science teaching was slowed by the lack of qualified teachers. [19]

The branch of science education known as “chemistry must be taught in a relevant context in order to promote full understanding of current sustainability issues.” [19] Children mix different chemicals in test tubes as part of a science education program. [19] Jonathan: Yeah, and I feel like there’s a movement to start publishing them more, and just getting more open about what people try that doesn’t work, and I think data science is an especially good field where we would be especially receptive to that kind of philosophy. [6]

Yeah, I think just more than other fields, like software development, we really, in data science, have to deal with the ambiguity of who reports to who. [6] There’s lots of actually, if you really step back and think about it, when you’re doing a data science analysis, you’re often making a ton of assumptions, and those assumptions often they have the possibility of leading you to a bad place, which is, if you think about it, can get really dark, because then it’s like, why do anything ever? Why should everyone even care about data science? But no, it’s still good, but you just have to be careful. [6] Jonathan: Right, exactly, and I think most of the time, when we use data science to make decisions, it is not necessarily clear what is the exact implication you can pull from it, which is not to say that you shouldn’t pull the data at all, it’s just that it is not sufficient to have good data to then make a good decision. [6] Jonathan: Yeah, and I think, if you go and sample a hundred random blog posts about data science, I’m pretty sure that at least 95 would be talking about how great data science is, and how it’s gonna change the world, and cure cancer, and you can use data to improve your company, and data’s the new oil, and there are all these optimistic things. [6] I’d say, “Hey, we can use data science here at this company to try and predict which customers are gonna churn, and we can use the customers’ transactions, and we can use when they called the call center, and we can put all these things in, and make a machine learning model, and guess which customers will churn,” and I come up with this idea, and people would say, “Okay, great. [6] The idea was, hey, what if we use machine learning and data science to try and make it so that we didn’t need a human to tell if the software passed the test or not? What if we could just look at that telemetry and tell if then, by looking at the telemetry, tell if it will pass or not. [6]

All these things that are continuously running, that’s really the machine learning part of data science, and each one of these fields is different, and each one is important, and I think for different verticals and industries, they’ve progressed differently along each one of those. [6] It really depends, and when I think about data science, I really think it actually breaks into three separate fields, and I think for each one of those subfields, the different companies and different verticals can approach them differently. [6] Then the last field is what I think about as machine learning, and so this is the area of data science that’s how can we take data science models and put them continuously into production. [6] The company I was working for ended up spending two years and millions of dollars trying to do all these different data science and machine learning techniques, only to realize that it just wasn’t gonna work, and intuitively, if you had looked at the very beginning and said, “Okay, well, here’s a terabyte of telemetry data collected from the app. Tell if it’s gonna pass the test or not.” [6] Jonathan: For me, I’ve found that what works best is what I think of as distributing the data science within the business, but culturally being centered as a single group. [6] I think when you realize that data science has these three distinctions, it makes it a lot more approachable, because I think if you lump them all together, you kind of think, “Wow, I need to understand software engineering, and I need to understand visualization approaches, and I need to understand how to make an effective report. [6] Hugo: Exactly, and I think that will help a lot of newcomers who, as you say, can find the world of data science incredibly overwhelming, get started. [6] Jonathan: When I think of data science, I think it’s really three topics. [6] Decision science is really around taking data and using it to help a company make a decision. [6] These are actually two totally different ways of organizing, and they can have really different results, so thinking about what’s the right way to do it for your company is difficult to do, especially because often data science grows organically, and so to be able to coordinate hiring and distribution is just not an easy thing to do. [6] There’s that assumption that more information, more data, is better, and therefore data science should make every decision better, but often in practice, data can sometimes make decisions harder, or get a less good solution, right? For instance, if the data you have is sufficiently limited, then it could be that using data actually causes you to make a less informed decision. [6] Hugo: You mentioned R-squared, and very recently you wrote a post on Medium which actually the first image in it is R-squared equals 0.042, and this is a great post about why data science projects may not work, and how we should feel when they don’t work, and I thought maybe you could give us a bit of insight into your feelings about this. [6] I think, in some way, it’s more a question of which verticals are furthest along in the data science journey. [6] Another way of wording this is have empathy for people outside of data science. [6] For one, there’s a big question of how should you organize data science within the bigger company? One approach people take is they build what’s called a center of excellence, right, where you take all of your data scientists, you put them together in a space, and you say, “Well, the data scientists will talk together, they’ll share what they’ve learned, they’ll really grow, and that’s the best way to organize our data scientists.” [6] Jonathan: There are lots of companies that are trying to start getting into data science, machine learning, AI, and if you don’t have any of that, trying to start having that is not easy, and so I help companies with that kind of process. [6] We’ve talked a lot about what data science looks like today. [6] I’d like to know how you got into data science originally, what your trajectory was. [6] They really understand data science, they have big teams, and some of the other verticals, you can imagine they’re much earlier. [6] One, if you are interested in having me consult for you or your organization around data science, in particular around how do you grow, expand your team, are hiring or potentially coming in with new approaches, please reach out to me. [6] The question of which verticals are right for data science. [6] How does your distinction between the different types of data science play into this ideal org structure? To be very specific, the distinction between what we discussed earlier. [6] I’ve done a fair amount in BI and machine learning, but most of my work is in decision science, and so for each person, having a specialization is generally good. [6] Business intelligence work, decision science, machine learning. [6] Hugo: There are interactions as well, right? For example, machine learning can impact decision science. [6] For me, most of my work has been in the decision science space. [6]

Field Manager Katie Rose (BAM) notes, “I was really interested in science, especially biology, in high school. [1] I think similar to that is how do you actually store the knowledge that the data science team generates? People often don’t think very hard about how you’re gonna store the knowledge that you gain from data science. [6] The best data science teams are the ones that can really handle the ability to have people changes, the ability to have changes in who’s working on what, and have all that knowledge be stored, and the worst data science teams are the ones where all that knowledge is stored in one person, and if that one person quits or whatever, then that knowledge is lost. [6] Hugo: We’ve spoken a lot about the different types of data science work that can be done, and you spoke to the fact that it’s important to recognize whether people really are interested and adept and skilled in business intelligence, decision science, machine learning. [6] It’s like, “Oh, we don’t have any decision science work to do, but we really could use someone to make this visualization,” and so having the ability to switch between one or the other, it’s not something you have to be able to do, but you should be able to want to try it, and for me, a lot of my career growth has just come from a situation where someone asked me to do something that I didn’t know how to do before, and I just said, “Well, I’ll try,” and I learned it. [6] You mentioned that a data scientist’s job is to convince people of the power of their models and to help make business decisions, and another point is not only do you wanna make PowerPoint presentations, but you wanna, for example, you know, have figures that people understand, use colors that people like, as well. [6] Jonathan: I think that there’s this nae assumption that if you use data in a decision, then that decision will be better. [6] If you?re consistent with time tracking, you can use this data to show a pushy manager all the things you do during the week, separated by specific tasks and time spent on each one. [20] As most programmers are notorious underestimators, you can use this data to bill clients at a higher rate–or even just buy yourself more time to complete tasks without pushing yourself too far. [20]

Having the ability to do that is way more important than being able to use the most advanced machine learning models, right? If you can use a linear regression and you can give a good PowerPoint, that can often be much more powerful than being able to do deep learning recurrent neural networks, but not being able to take what you’ve learned and convey it to other people. [6] Sinwar has been able to use the “Great Return” march movement as a way to present himself as a man of the people and to deflect attention on how Hamas is governing, instead showing how Hamas is defying Israel. [9]

“He saw a new way of putting pressure on Israel since the armed struggle has become difficult and expensive,” says Adnan Abu Amr, a political science professor in Gaza. [9] If you think holy cow they are paying me and I get to do science and discover things, then you will do well. [21] Landscape professionals draw from a wide array of knowledge, from science and math to business and communications, to do their jobs well. [1] One area of interest that translates well to the landscape industry is science. [1]

Gautam Narula is a machine learning enthusiast, computer science student at Georgia Tech, and published author. [11] “We have just satisfied a mission objective for Curiosity,” says Jennifer Eigenbrode, study lead author and a member of the Mars Science Laboratory mission team. [9] Mission scientists announced today in a paper published in the journal Science that Curiosity discovered a whole catalogue of preserved organic matter in the first rock layers that the rover checked there. [9] Through the teachings of Christian Science I gained a totally different view of myself and of God. [9]

Hugo: Yeah, so I think something worth circling around is the fact that data science teams and data science individuals can actually sometimes be stuck between a rock and a hard place, in the sense that we do have a lot of dotted lines everywhere, and in all honesty, a lot of the time you’ll have engineers on one side that you’re waiting on stuff to be implemented, and marketeers and BizOps on the other, for example. [6] Those things can be really helpful to an organization and a data science team, but isn’t something that everyone always does. [6] Really have them get to know the problems and the people and what’s going on there, but that being said, make sure that all the data scientists culturally feel like they’re connected together, so have even small things, like team lunches, and quarterly outings where we talk about our career goals, and things like that that get them to feel like they are part of the data science team. [6]

Jonathan: Yeah, and they really kind of overlap quite a bad, because you could imagine that the decision science work can also influence what you’re gonna put in your dashboard, which relates to BI, and the machine learning models can influence what you report out in the decision science, and the decision science folks can really influence what. [6] Jonathan: I think to the point earlier about there behind business intelligence work, decision science work, machine learning work, I think it is very reasonable, acceptable and wise to focus in one of those three areas. [6]

I’m just wondering what are practical deals with this unique position for data scientists and data science teams. [6]

Right now I’m helping T-Mobile looking into growing their AI, and how can you use AI and natural language processing within call centers, and things like that, and really growing that space up there. [6] Uber’s Head of Machine Learning Danny Lange confirmed Uber’s use of machine learning for ETAs for rides, estimated meal delivery times on UberEATS, computing optimal pickup locations, as well as for fraud detection. [11] Gmail uses a similar approach to categorize your emails into primary, social, and promotion inboxes, as well as labeling emails as important. [11]

This addresses the primary concern with robo-readers: if students can deduce the heuristics e-Rater’s use for determining their grade, they could easily exploit them to write nonsensical essays that would still score highly. [11] FICO uses ML both in developing your FICO score, which most banks use to make credit decisions, and in determining the specific risk assessment for individual customers. [11] According to a 2014 SEC filing, the vast majority of major banks rely on technology developed by Mitek, which uses AI and ML to decipher and convert handwriting on checks into text via OCR. [11] AI autopilots in commercial airlines is a surprisingly early use of AI technology that dates as far back as 1914, depending on how loosely you define autopilot. [11]

Through the use of machine learning algorithms, Gmail successfully filters 99.9% of spam. [11] Smart reply uses machine learning to automatically suggest three different brief (but customized) responses to answer the email. [11] Instagram, which Facebook acquired in 2012, uses machine learning to identify the contextual meaning of emoji, which have been steadily replacing slang (for instance, a laughing emoji could replace “lol”). [11]

FICO, the company that creates the well-known credit ratings used to determine creditworthiness, uses neural networks to predict fraudulent transactions. [11]

Asner and his team will use artificial intelligence combined with field-based observations to guide calibrations of Planet’s 3.7-meter resolution satellite data so that they account for atmospheric effects, glare, reflectivity, and other aspects that make it difficult for mapping tools to penetrate the ocean’s surface–all of which will allow scientists from the University of Queensland to properly classify the reefs. [3] It’s a simple image based on real science, the data it is based on has been independently confirmed by multiple groups of scientists. [5] To disrupt our oceans? unsustainable trajectory, he is leveraging his resources in data, technology and science. [3] Scientists at the Swiss Federal Laboratories for Materials Science and Technology, EMPA, set out to study a less utilized cooling resource — wind. [22] Carnegie scientists are leaders in plant biology, developmental biology, astronomy, materials science, global ecology, and Earth and planetary science. [3]

When you make one about science, I can assure you that meteorologists who work in TV will definitely notice because there are few things we value more than an image that can tell a story well. [5] Bronx Science Students – Applications for The Brunner Awards are now open The Brunner Awards were funded and conceived by alumnus Charles Brunner ?56. [2] The Center for Advancement of Informal Science Education (CAISE) is dedicated to advancing the fields of informal science education (ISE) and science communication by supporting and building on the rich diversity of projects supported by the Advancing Informal STEM Learning (AISL) program of the National Science Foundation (NSF). [16]

General Data Protection Regulation (GDPR) Statement Our advertisers use various cookies and the like to deliver the best ad banner available at one time. [22] Local city and county water departments withdraw a lot of groundwater for public uses, such as for delivery to homes, businesses, and industries, as well as for community uses such as fire fighting, water services at public buildings, and for keeping local residents happy by keeping community swimming pools full of water. [23] To measure flow, scientists use tiny particles and a fluorescent dye. [22] My laboratory group uses different molecular approaches to study population ecology, population genetics, species diversity and other questions about marine zooplankton. [15]

RANKED SELECTED SOURCES(23 source documents arranged by frequency of occurrence in the above report)

1. (71) Science education – Wikipedia

2. (48) Organizing Data Science Teams (article) – DataCamp

3. (12) Everyday Examples of Artificial Intelligence and Machine Learning

4. (7) The Christian Science Monitor Daily for June 7, 2018

5. (4) How to Translate your Love of Science to a Career in Landscaping | Talent Talk | Ruppert Landscape

6. (4) Partnership to Develop First-Ever Global and Dynamic Map of Coral Reefs | Carnegie Institution for Science

7. (3) Job Bank – Association of Science – Technology Centers

8. (3) Scientists to study urban heat island effect using water tunnel

9. (3) Dans Wild Wild Science Journal – AGU Blogosphere

10. (2) Scientists are using DNA to study ocean life and reveal the hidden diversity of zooplankton

11. (2) The Bronx High School of Science

12. (2) How Software Developers Can Use Science to Manage Their Time 7pace Blog

13. (2) Scientific Fellow Description at Takeda Pharmaceuticals

14. (1) Q: What Does an Environmental Scientist Do on a Daily Basis? | ZipRecruiter

15. (1) Pride: Stories about coming out in science — The Story Collider

16. (1) 8 Awesome Earth Science Apps, Websites and Games — THE Journal

17. (1) Supercharged Science Blog | Teaching Homeschool Science the Easy Way

18. (1) Science – Axios

19. (1) Top Science News — ScienceDaily

20. (1) How many hours does a scientist work per day, on average? – Quora

21. (1) Groundwater Use, the USGS Water Science School

22. (1) Thomas Zurbuchen, Associate Administrator | Science Mission Directorate

23. (1) CAES launches Certificate in Agricultural Data Science – UGA Today