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Project Management

Some projects are best served by engaging in partnerships. There can be many reasons for partnering, but primarily it is because the need or problem requires the involvement of multiple stakeholders. In some cases, a funder may look at organizational capacity and question whether staff has the experience and skills to carry out the project successfully. Other grants, depending on the nature of the RFP description, will specify partnerships. And some projects are simply too complex and wide ranging to even consider within a single organization.

It is important to understand that the time to reach out to potential partners about opportunities to apply for grant funding is when a need is first identified at an organization. Those who reach out to brand new “partners” because they must in order to submit a proposal may find it doesn’t work once the project is implemented. The barriers to successful partnerships can vary from lack of communication to hidden agendas.

Please review the Partnerships: Framework for Working Together Guidebook PDF and consider the potential barriers that can impact the success of a partnership.

For this Discussion, based on your own project idea, consider the potential barriers that could impact the success of your prospective grant partner.
Post a 2- to 3-minute “Vlog” (video blog) reflecting on the following about barriers to successful partnerships:

What barrier(s) could impact the success of your funding partnership?
How will you work to overcome the barrier(s)?
Provide an explanation of the importance of building a relationship between funder and grantee. Describe key elements of this relationship, providing a rationale for your thinking.
Describe why the grant funder/RFP’s criteria are important and how they can influence the outcomes of the funding process.
Address both a Memorandum of Understanding and Letters of Agreement that would be necessary.

References:
Gitlin, L. N., & Lyons, K. J. (2014). Successful grant writing: Strategies for health and human service professionals (4th ed.). New York, NY: Springer.
Chapter 14, “Understanding the Process of Collaboration,” pp. 199–212
Chapter 15, “Forming a Collaborative Team,” pp. 213–226

Sample Solution

ter on, one of the most known methods will be discussed in a detailed way. The facial recognition methods that can be used, all have a different approach. Some are more frequently used for facial recognition algorithms than others. The use of a method also depends on the needed applications. For instance, surveillance applications may best be served by capturing face images by means of a video camera while image database investigations may require static intensity images taken by a standard camera. Some other applications, such as access to top security domains, may even necessitate the forgoing of the nonintrusive quality of face recognition by requiring the user to stand in front of a 3D scanner or an infrared sensor[15]. Consequently, there can be concluded that there can be made a division of three groups of face recognition techniques, depending on the wanted type of data results, i.e. methods that compare images, methods that look at data from video cameras and methods that deal with other sensory data, like 3D pictures or infrared imagery. All of them can be used in different ways, to prevent crime from happening or recurring. ii. How do these technologies work? As listed above, there exists a long list of methods and algorithms that can be used for facial recognition. Four of them are used frequently and are most known in the literature, i.e. Eigenface Method, Correlation Method, Fisherface Method and the Linear Subspaces Method. But how do these facial recognition work? Because of word limitations, only one of those four facial recognition techniques, i.e The Eigenface Method, will be discussed. Hopefully this will give an general idea of how facial recognition works and can be used. One of the major difficulties of facial recognition, is that you have to cope with the fact that a person’s appearance may change, such that the two images that are being compared differentiate too much from each other. Also environmental changes in pictures, like lightning, have to be taken into account, in order to have successful facial recognition. Thus from a picture of a face, as well as from a live face, some yet more abstract visual representation must be established which can mediate recognition despite the fact that in real life the same face will hardl>

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