Different Types of Innovation

A discussion on innovation examples for discoveries that are achieved through the following: Serendipity, Error, and Exaptation.

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Serendipitous innovations: discovering what makes one thing special and applying it elsewhere

Georges de Mestral in 1941 went out to walk his dog in the woods and noticed how the burrs clung to him and his dog (Bellis, 2016; Suddath, 2010). De Mestral was curious enough to study these burrs under a microscope and from that he wanted to recreate it (Bellis, 2016). It took eight years of trial and error to create a synthetic burr that had tiny hooks, that would grip to a cloth full of tiny loops and the names of those two cloths “velvet” and “crochet” were combined to form Velcro (Bellis, 2016; Suddath, 2010).  Velcro was made to rival the zipper (Bellis, 2016). Velcro had its big break when it was used by NASA in the 1960s Apollo mission, then hospitals began to use them, then the military, and now it’s used on planes, cars, shoes, home décor, etc. (Suddath, 2010).

Exaptation innovations: Never giving up, finding secondary uses for the same product, and not being afraid to pivot when needed

The mixture of flour, water, salt, boric acid and mineral oil was first originally used as a reusable soup product to help clean wallpaper as part of the Kutol company (Biddle, 2012; Hiskey, 2015; Wonderopolis, n.d.). Hiskey (2015), chronicles that in 1933 Noah McVicker and Cleo McVicker created the doughy substance because at that time wallpaper couldn’t get wet.  However, the lack of toxic chemicals made it an ideal to become the toy it is today (Hiskey, 2015; Wonderopolis, n.d.).  This pivot from wallpaper cleaner to toy occurred when teachers began to use this product for a molding compound to make art for craft projects in school (Hiskey, 2015; The Strong, n.d.; Wonderopolis, n.d.).  When, the inventor’s nephew, Joe McVicker, eventually came into the Kutol Company and noticed this secondary use of their product, and thought it would be good to rename the product “Play-Doh” and marketed it to schools (Biddle, 2012; The Strong, n.d.; Wonderopolis, n.d.).

Erroneous innovations: Creating something by accident in the pursuit of something else

Two chemists in 1879 were working in the Lab at John Hopkins University, where one of them got hungry and forgot to wash his hands (Hicks, 2010; Smallwood, 2014).  Constantin Fahlberg didn’t die from this, which could have happened, but noticed that the chemical saccharin (C7H5NO3S) which he and his peer created made his food taste sweet (Hicks, 2010).  He created the Artificial sweetener that is now used in the “Sweet’n Low” pink packets; that is 300x sweeter than cane sugar and cheaper to produce (Hicks, 2010; Smallwood, 2014).  In 1884, Constatin patented the chemical saccharin without his co-inventor and set up a production shop in New York City (Hicks, 2010). In the 1970s a saccharin scare was created stating it was empty calories and harmful to the health of the consumer, the first part of the claim was substantiated, but the second claim has never been vetted with evidence, and in 2000 it was removed from the U.S. National Toxicology Program list of carcinogenic chemicals (Smallwood, 2014).  From this erroneous innovation, aspartame in 1965 a chemical 200x sweeter than sugar and sucralose in 1976 that is 600x sweeter than sugar was created (Hicks, 2010).

References

Case Study: Sociotechnical system in education

A discussion of sociotechnical systems in Brazilian education.

Definition of key terms

  • Sociotechnical Systems: the interplay, impact, and mutual influence when technology is introduced into a social system, i.e. workplace, school, home, etc. (com, n.d.; Sociotechnical theory, n.d.) The social system comprises people at all levels of knowledge, skills, attitudes, values and needs (Sociotechnical theory, n.d.).
  • Formal Learning: scholastic learning in schools (Hayashi & Baranauskas, 2013)
  • Non-formal Learning: scholastic learning outside of schools (Hayashi & Baranauskas, 2013)
  • Informal Learning: other learning that occurs outside of schools (Hayashi & Baranauskas, 2013)

Case Study Description (Hayashi & Baranauskas, 2013)

This qualitative study introduced 520 donated laptops among the students (ages 6-14) and teachers in the public school, Padre Emilio Miotti School, in Campinas, Brazil.  With a goal of providing a detailed description of the results in order to inspire (transfer knowledge) over focusing on generalizing the results to other schools and scholastic-socio technological systems.  The sociotechnical system is defined by cultural conventions, where the participants in the study can be classified under in the formal, informal, and technical levels of a Semiotic Onion (Figure 1).

1.png

(Source: Adopted directly from Hayashi and Baranauska, 2013)

Therefore, the goal of this qualitative study was to understand how to insert the technological artifacts (the laptops), into the scholastic curriculum, that makes sense to the end users (scholastic community: teachers, students, etc.) into a meaningful integration across all aspects of the Semiotic Onion.  Data collection for this qualitative study was done through interviews and discussion in the Semio-participatory Workshops in 2009, as well as the authors being participant observers over a one year period in the scholastic activities.

There were four opportunities that should be considered (supporting forces for adoption):

  • Transforming homework assignments: Allowed for teachers to bring some homework into the classwork and allow the students to conduct their searches, normally done at home at school. Teachers could now observe the emotional flux of their students evolve while they complete the assignments.  This evolution of the emotional flux during homework use to be only observed by parents.
  • Integrating the school in Interdisciplinary Activities: In a collaborative fashion, teachers were able to create assignments using the laptop cameras to capture everyday objects or events of the students to help show them how to eat healthier, different animals and their behaviors, save on the electric bill, teach them about calories, watts, electricity, animals, etc. This creates a path of data to information to knowledge that helps motivate the students to learn more.
  • Laptops inside and outside the school walls: Students have more pride in using their own devices and were willing to showcase and educate the public about their technology and its effectiveness. This has far reaching results that were not explored in this study.
  • Student Volunteers: The use of older students to help troubleshoot younger student’s laptop problems, which taught some students patients and other skills across the Semiotic Onion. The students learned about responsibility, empathy, and other vital social skills.

There were issues across the Semiotic Onion that were also enumerated (challenging forces for adoption):

  • Technological: Internet connection was slow and intermitted even though there was broadband internet available and wireless routers
  • Technological: How to recharge 30 laptops at a time with only two wall sockets
  • Technological: How to transport laptops back and forth from storage rooms to classrooms
  • Technological: Laptop response times at certain periods of times were slow at best
  • Technological: Demand for technological support increases dramatically
  • Formal: The fear of laptops being stolen from the students on their way to or from school
  • Formal: Teachers worried that they could find or create technological assignments that fit their lesson plans
  • Informal: Teachers are not comfortable in teaching with technology they are not familiar with themselves
  • Informal: Most parents didn’t and couldn’t use the student’s laptop to assist them

This study concludes by saying that the introduction of technology into the education system in these scenarios for this case study had a positive response and that key lessons learned, assignments could be duplicated and studied in other scenarios.  Therefore, the authors emphasized on the transferability of the study rather than generalizability of the results.

Evaluation of this case study

This study was a case study of the socio-technological scholastic system when donated laptops were introduced into a Brazilian school.  This paper presented the socio-technological plan and its analysis.  The authors were thorough by listing all the opportunities (supporting forces for adoption) and issues (challenging forces for adoption) of technological inclusion into the scholastic system by evaluating it from the perspectives of the Semiotic Onions.  Therefore, this was a thorough study of this study’s positive introduction of technology to the scholastic, social system.  The only drawback in this study is that the researchers failed to interview how the laptops affected the world outside of the school walls and familiar homes.

This paper is a well-designed qualitative study that uses surveys, interviews, etc. to gain their primary results, but to improve the study’s credibility, the researchers become a participant observer for one-year videotaping and taking field notes to supplement their analysis.  They mention that case studies are done to foster transferability of ideas across similar situations rather than generalizing the results.  Therefore the authors stated the limitations of this study and how they mitigated issues that would arise about the study’s credibility.

References:

Higgs Boson: Case Study on an infamous prediction that came true

The discovery of the Higgs Boson is an epic win in the field of science and an infamous prediction that came true.

Definitions:

  • Forecasting (business context): relies on empirical relationships that were created from observations, theory, and consistent patterns, which can have assumptions and limitations that are either known or unknown to give the future state of a certain event (Seeman, 2002). For instance forecasting, income from a simple income statement could help provide key data for how a company is operating, but the assumptions and limitations on using this method can wipe out a business (Garrett, 2013).
  • Predictions (business context): are a more general term in which, is a statement of a future state of a certain event, that can be based on empirical relationships, strategic foresight, or even scenario planning (Seeman, 2002; Ogilvy, 2015).
  • Scenarios: alternate futures that change with time as supportive and challenging forces unfold, usually containing enough data like the likelihood of success or failure, the story of the landscape, innovative opportunities, challenges to be faced, signals, etc. (Ogilvy, 2015; Wade, 2012).

Case Study: An infamous prediction that came true

The Higgs Boson helps tell the origin of mass in the universe (World Science Festival, 2013). Mass is the resistance of an object to be pushed and pulled by other objects or forces in the universe, and mass is made up of the constitute particles of that object (Greene, 2013; PBS Space-Time, 2015; World Science Festival, 2013).  The question is where does the mass of these particles that give an object its mass comes from?  The universe if filled with an invisible Higgs Field, in which these particles are swimming in and experiencing a form of resistance (when the particle speeds up or slows down), this resistance in the Higgs Field is the mass of the particles (Greene, 2013; World Science Festival, 2013).  Certain particles have mass (electrons), and others don’t (photons), this is because the certain particles interact with the invisible Higgs Field (PBS Space-Time, 2015). Scientist use the large Hadron Collider to speed up particles in such a way that when they collided in the correct way (1:1,000,000,000 chance), the particles’ collisions would be able to clump a bit of the Higgs Field to create a Higgs particle that lasted for a 10-22 second (Greene, 2013; PBS Space-Time, 2015; World Science Festival, 2013). Therefore, finding the Higgs particle is a direct link to proving that the existence of the Higgs field (PBS Space-Time, 2015).

The importance of proving this prediction correct (World Science Festival, 2013):

  • Understanding where mass comes from
  • The Higgs particle is a new form of particle that doesn’t spin
  • Shows that mathematics lead the way to discovering something about our reality

This was a prediction in the waiting to be confirmed through observation for over 50 years, which got its roots in the form of scientific and mathematical roots of quantum physics and by Higgs in 1964 (Greene, 2013; PBS Space-Time, 2015; World Science Festival, 2013).

Supporting Forces for the prediction:

  • Technological: the development of technology to study mathematics over the course of 50 years helped facilitate the discovery of this prediction (Greene, 2013; World Science Festival, 2013). The actual technology use is called the ATLAS detector attached to the Large Hadron Collider (Greene, 2013).
  • Financial: Through international collaboration from thousands of scientists and over a dozen of countries, they were able to amass the financial capital to build this $10 Billion Large Hadron Collider.

References:

Traditional Forecasting Vs. Scenario Planning

This post compares and contrasts the concepts of scenario planning versus traditional forecasting. As well as, fully explain both concepts’ the differences, advantages, and disadvantages of each.

Traditional Forecasting

Traditional forecast is essentially extrapolating where you were and where are you are now into the future, and at the end of this extrapolated line this is “the most likely scenario” (Wade, 2012; Wade, 2014).  Mathematical formulations and extrapolations is a mechanical basis for traditional forecasting (Wade, 2012). At one point, these forecasts make ±5-10% in their projections and call it the “the best and worst case scenario” (Wade, 2012; Wade, 2014).  This ± difference is a range of possibilities out of an actual 360o solution spherical space (Wade, 2014). There are both mathematical forms of extrapolation and mental forms of extrapolation and both are quite dangerous because they assume that the world doesn’t change much (Wade, 2012).  However, disruptions like new political situations, new management ideas, new economic situations, new regulations, new technological developments, a new competitor, new customer behavior, new societal attitudes and new geopolitical tensions, could move this forecast in either direction, such that it is no longer accurate (Wade, 2014). We shouldn’t just forecast the future via extrapolation; we should start to anticipate it through scenario analysis (Wade, 2012).

Advantages (Wade, 2012; Wade, 2014):

+ Simple to personally understand, only three outcomes, with one that is “the most likely scenario.”

+ Simple for managements to understand and move forward on

Disadvantages (Wade, 2012; Wade, 2014):

– Considered persistence forecasting, which is the least accurate in the long term

– Fails to take into account disruptions that may impact the scenario that is being analyzed

– Leads to a false sense of security that could be fatal in some situations

– A rigid technique that doesn’t allow for flexibility.

Scenario Planning

Scenario planning could be done with 9-30 participants (Wade, 2012).  But, a key requirement of scenario planning is for everyone to understand that knowing the future is impossible and yet people want to know where the future could go (Wade, 2014).  However, it is important to note that scenarios are not predictions; scenarios only illuminate different ways the future may unfold (Wade, 2012)!

Therefore, this tool to come up with an approach that is creative, yet methodological, that would help spell out some of the future scenarios that could happen has ten steps (Wade, 2012; Wade, 2014):

  • Framing the challenge
  • Gathering information
  • Identifying driving forces
  • Defining the future’s critical “either/or” uncertainties
  • Generating the scenarios
  • Fleshing them out and creating story lines
  • Validating the scenarios and identifying future research needs
  • Assessing their implications and defining possible responses
  • Identifying signposts
  • Monitoring and updating the scenarios as times goes on

However, in a talk Wade (2014), distilled his 10 step process, to help cover the core steps in scenario planning:

  • Create a brainstorming session to identify as many of the driving force(s) or trend(s) that could have an impact on the problem at hand? Think of any trend or force (direct, indirect, or very indirect) that would have any effect in any way and any magnitude to the problem and they could fall under the following categories:
    • Political
    • Economical
    • Environmental
    • Societal
    • Technological
  • Next, the group must understand the critical uncertainties in the future, from the overwhelming list. There are three types of uncertainties:
    • Some forces have a very low impact but very in uncertainty called secondary elements.
    • Some forces have a very high impact but low uncertainty called predetermined elements.
    • Some forces have a very high impact and high uncertainty call critical uncertainties.
  • Subsequently, select the top two most critical uncertainties and model the most extreme cases of each outcome, it is “either … or …”. They must be contrasting landscapes from each other. Place one critical uncertainty’s either/or in one axis, and the other on the other axis.
  • Finally, the group should describe the different types of scenarios. What would be the key challenges and key issues would be faced in either of these four different scenarios? How should the responses look like?  What are the opportunities and the challenges will be faced? This helps the group to strategically plan and find a way to potentially innovate in this landscape, to outthink their competitors (Wade, 2014)?

Advantages (Frum, 2013; Wade, 2012; Wade, 2014):

+ Focuses on the top two most critical uncertainties to drive simplicity

+ Helps define the extremes in the four different Landscapes and their unique Challenges, Responses, and Opportunities to innovate to create a portfolio of future scenarios

+ An analytical planning method helping to discover the Strengths, Weaknesses, Opportunities, and Threats affecting each scenario

+ Helps you focus on the players in each landscape: competitors, customers, suppliers, employees, key stakeholders, etc.

Disadvantages (Wade, 2012; Wade, 2014):

– No one has a crystal ball

– More time consuming than traditional forecasting

– Only focuses on 2 of the most critical uncertainties, in the real world there are more critical uncertainties needed for analysis.

References

Play-Doh: An innovation that came from error or accidents

A discussion of a game-changing ideas that came from an error or accident. Something different from well-known accidental inventions such as sticky notes.

The mixture of flour, water, salt, boric acid and mineral oil was first originally used as a reusable soup product to help clean wallpaper as part of the Kutol company (Biddle, 2012; Hiskey, 2015; Wonderopolis, n.d.). Hiskey (2015), chronicles that in 1933 coal was used to heat a home in a chimney, but came at the cost of causing sooty wallpapers, which established the need for the product, and there was the added dimension of the problem that wallpaper couldn’t get wet.  Noah McVicker and Cleo McVicker were able to create a component to clean wallpaper without getting it wet and partnered with Kroger groceries to be their distributor (Hiskey, 2015).  When coal fireplaces were being replaced with oil and gas and a new type of wallpaper that can be cleaned with water and soap was introduced, sales plummeted (Hiskey, 2015).  However, the lack of toxic chemicals made it an ideal not only as a cleaning product but to become the toy it is today eventually (Hiskey, 2015; Wonderopolis, n.d.).  The transition occurred when teachers began to use this wallpaper cleaner in an innovative way, for a molding compound to make art for craft projects in school (Hiskey, 2015; The Strong, n.d.; Wonderopolis, n.d.).  When, the inventor’s nephew, Joe McVicker, eventually came into the Kutol Company and noticed this secondary use of their product, and though it would be good to rename the product “Play-Doh” and market it to schools (Biddle, 2012; The Strong, n.d.; Wonderopolis, n.d.). In 1956, the nephew devoted his time to creating Play-Doh as part of a company called Rainbow Crafts Company and sold to both Macy’s and Marshall Fields, and in one year made $3 million just by selling Play-Doh in the primary colors (Hiskey, 2015; The Strong, n.d.; Wonderopolis, n.d.).  In the 1980s, the color pallet was expanded to 8 colors, with future versions glowing in the dark, containing glitter, and smell like shaving cream (The Strong, n.d.) The recipe has been perfected over time and has remained a trade secret; Play-Doh is now part of the Hasbro Company (Wonderopolis, n.d.). Under the wallpaper utility of this product, it sold for 34 cents per can, but under the toy utility of this product the company was able to sell it at $1.50 per can (Hiskey, 2015).  In 2003, Play-Doh was added to the “Century of Toys List,” as it has hit 100 years of existence (Wonderopolis, n.d.) 700 million pounds of Play-Doh have been sold and played with (The Strong, n.d.).In 2016, a Play-Doh Super Color pack with 20 different colors goes for $14.99, and a Play-Doh Rainbow Starter Pack with eight colors goes for $4.99 (Hasbro, n.d.). However, the amount of Play-Doh per mini color tub is small compared to homemade versions.  There are many ways to make your version of Play-Doh.  One version of this non-toxic homemade version of Play-Doh, as stated by Nicko’s Kids DIY (2012): (1) mix 2 cups of flour, 2 cups of water, 1 cup of salt, 2 tbsp. of vegetable oil, and 1 tbsp. Of cream of tartar over low heat in a pan until it becomes a dough; (2) while it is still warm, knead the dough and don’t add any more flour to it; (3) finally poke a hole to the center of the dough and drop in a few drops of food coloring and work in the color.

Forces that supported it

  • Commercial: Besides selling it in one-gallon tubs to schools, sales skyrocketed when it got a national platform to the kids show Captain Kangaroo, who was promised to get 2% of the sales as long as the product was featured (Hiskey, 2011; Hiskey, 2015). Play-Doh, after leaving Kutol and joining Rainbow Crafts Company, was sold to General Mills, which sold it to Hasbro who still owns the right and intellectual property of Play-Doh (Hiskey, 2011).
  • Technological: It’s non-toxic everyday household product chemical mixture allowed it to be safely used by children (Biddle, 2012; Hiskey, 2015; The Strong, n.d.; Wonderopolis, n.d.). However, the formula was reinvented in 1955 to make it last longer and not dry out so quickly by chemist Dr. Tien Liu (Hiskey, 2011).
  • Financial: Under the wallpaper utility of this product, it sold for 34 cents per can, but under the toy utility of this product the company was able to sell it at $1.50 per can (Hiskey, 2015).

References

Think Tank Methods

A discussion on the concept of think tank methods, or methods that are deliberate and foster innovation.

Think tanks are a group of people that review the literature, discuss about the literature, think about ideas, do tons of research, write, provide ideas, legitimize ideas, advocate, lobby, and arguing just to address a problem(s) (Mendizabal, 2011; TBS, 2015; Whittenhauer, n.d.). In short, they are idea factories: creating, producing, and sharing (Whittenhauer, n.d.). The balance between research, consultancy, and advocacy and their source of their arguments/ideas: applied, empirical, synthesis, theoretical or academic research; help shape what type of think tank they are (Mendizabal, 2011). Finally, there are two types of think tank models, one roof model where everyone gathers in one physical place to meet face-to-face or the without walls model where members only communicate through technological means (Whittenhauer, n.d.).

McGann (2015) stated that the explosive growth of think tanks could be attributed to the growth in information and technology and a decline of government’s control of information, while there is a rise in the complexity and nature of the issues.  The U.S. houses 1989 think tanks, which is about 33% of the world’s total think tanks at 6,618 and housed in 182 countries around the world (McGann, 2015; TBS, 2015). Meanwhile, Europe houses 1822 think tanks (McGann, 2015).

Current trends in think tanks are: globalization; growth of international actors; democratization; demands for independent information and analysis; big data and super computers; increased complexity of policy issues; the information age and the rate of technological change; increasingly open debate about government decision making; global “hacktivist”, anarchist, and populist movements; global structural adjustment; economic crisis and political paralysis; policy tsunamis; increasing political polarization; and short-termism (McGann, 2015).

Think tanks within a company can be used to help Research and Development teams within the company (Penttila, 2007).  Think tanks in both capacities have the challenge to harness their knowledge, information, and energy to support progress (McGann, 2015). However, some companies cannot afford an innovation center or a think tank, even though it is a vital in today’s current market, due to competitive challenges, resource challenges, technological challenges, and policy challenges (McGann, 2015; Penttila, 2007).  Penttila (2007) gathered five strategies from think tanks that are a positive force for innovation: (1) combining ideas by looking for intersections between ideas and how they may work together; (2), think backwards by starting with the desired outcome in mind and working your way back; (3) rapidly prototype by putting ideas into action on a small yet realistic scale; (4) have funds set aside for encouraging people incubate and chasing after ideas; and (5) record ideas through an online environment.  For companies with little budget adopting a without walls, model thinks tank is more economical, and most overhead costs are not paid by the think tank, allowing for more money to be invested into research (Whittenhauer, n.d.).

Measuring the influence of a think tank composes of: the number of active scholars in it, publication record, scholarly achievements, how well they are attracting and holding visitor traffic from their web portals, average yearly revenue, number of categories they address, and how deep did their research affect the culture (TBS, 2015).  This is essentially assessing them by their intellectual depth, influence (politically or within the organization), marketability, value generating capabilities, etc. (McGann, 2015).

The top 10 most influential think tanks in the U.S. according to TBS (2015) are:

  • Belfer Center for Science and International Affairs (Politically Independent)
  • Earth Institute (Politically Centrist)
  • Heritage Foundation (Politically Conservative)
  • Human Rights Watch (Politically Liberal)
  • Kaiser Family Foundation (Politically Independent)
  • Council on Foreign Relations (Politically Independent)
  • Brookings Institute (Politically Progressive)
  • Cato Institute (Politically Libertarian)
  • Ludwig von Mises Institute (Politically Libertarian/Classical Liberal)
  • American Enterprise Institute (Politically Conservative)

Looking at the top two think tanks more closely

Belfer Center for Science and International Affairs: Based off of Harvard, this university-affiliated think tank deals with issues like nuclear power plants, nuclear security, international security and defense, cyber espionage, environment and climate change, energy, science and technology, international relations, conflict and conflict resolution, governance, economics and global affairs (Belfer Center, n.d., TBS, 2015). They have a monetary monthly traffic of $7.7M and have over 100 media references (TBS, 2015).

Earth Institute: Another university-affiliated think tank, founded by Columbia University, the primary focus of research for this think tank revolves around the climate, water, energy, agriculture, ecosystems, global health, urbanization, hazards and risk reduction, which are all foundational to the earth’s systems and life (Earth Institute, n.d.; TBS, 2015). They have a monetary monthly traffic of $5.2M and have over 100 media references (TBS, 2015).

Resources:

An Innovative Topic discussed in TED

A review of one of many various TED videos on an innovative idea that is interesting and worth spreading.

In Winter’s (2016) TED talk, she expresses her thoughts on re-engineering the process flow of our by-products back into nature.  Similar to this idea is the use of greywater, which is gently used water from bathrooms, showers, etc., which appears to be dirty due to its contents but are great for irrigation systems of yards, parks, and green spaces (Greywater Action, n.d.).  Winter (2016) goes one step further; she wants us to the excrement and manure of our body, which is rich in bacteria and carbon to feed trees, yards, parks, and other green spaces.  She is suggesting that the use of manure never touches or comes to contact with people, but is buried under gravel and soil under areas to help foster a green space. This is considered as holistic (or closed-loop) waste/sanitation management because everything gets reused (Winter, 2016).

Rosen and Bierman (2005), suggested that manure is a valuable fertilizer, that is cost efficient, greener, readily available, and best for giving fruit and vegetable crops a nutrient source.  Charles (2013) agreed and stated that this is part of the natural cycle and manure from other animals have been used in organic farming.  Manure from animal and humans provide many nutrients and micronutrients, for plants and crops (Rosen & Bierman, 2005; Winters 2016). Nutrients from the food we and animals eat, don’t just disappear, but they reappear as manure and excrement, and the best thing to do is to bring it back to the source of the nutrients, plants (Charles, 2013; Winter, 2016). Other benefits to using manure include improvements in soil structure, soil water holding capacity, drainage, reduction of wind and water erosion, etc. (Rosen & Bierman, 2005).

The amount of manure use on plants can vary on a case by case basis.  A stingy application of this innovation can lead to nutrient deficiencies and low yields, while the excessive application can yield to excessive growth in some groups and lakes of certain chemicals, like nitrate, phosphorus, etc. (Rosen & Bierman, 2005).  The type of manure also matters.  Winter (2016) suggested using raw/fresh manure.  But Rosen and Bierman (2005) warn that raw/fresh it can have a high concentration of nitrogen, and in some cases pathogens.

Finally, impacts of this holistic approach to waste/sanitation management can be seen through the lens of climate change.  This innovative process can help provide carbon and many of the key nutrients and micronutrients needed to make trees grow, which not only reduces entry of carbon into the atmosphere from our waste product but with the new tree growth, these trees can remove more carbon dioxide from the air (Winter, 2016).  This is one of the many amazing feedback loops of reusing our waste that just keeps getting better.

Forces that impact the innovation

Legal – The Food and Drug Association finds manure a food safety risk, with harmful bacteria like e Coli. and Sal Manila (Charles, 2013). Winters (2016), said that some of the laws used to keep humans safe from getting sick of manure are outdated and were assumed that there was not going to be a reinvention to the way we should treat our waste.  Rosen and Bierman (2005), suggested that for farming it is best to apply this waste product 3 months before harvesting.  However, if we remove the farming aspect out of the picture, then there would be no need for the Food and Drug Administration to get upset about.  However, Winters (2016) stated that in some states there are laws on how we should deal with this particular type of waste, outside of just farming applications must be addressed to move forward with this innovative use of our waste. Laws must change, but treating this innovation as “better safe than sorry” without further research is not a solution (Charles, 2013).

Cultural –  People are uncomfortable about talking about their bodily waste products, which is what is slowing down how we innovate in waste management (Winter, 2016).  I agree with this thought; it is difficult to discuss it.  Out of all the different types of innovation that could have been discussed, I thought it would be best to bring this innovation into the light, through this post.  To help break down this cultural barrier to innovation in waste/sanitation management.

Resources: