Difference between revisions of "ANLY482 AY2017-18 T2 Group 16"
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That's us!!
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| − | [[ANLY482_AY2017- | + | [[ANLY482_AY2017-18_T2_Group_16_Insights|<font color="#3c3c3c"><strong>INSIGHTS</strong></font>]] |
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[[ANLY482_AY2017-18_T2_Group_16_Documentation|<font color="#3c3c3c"><strong>DOCUMENTATION</strong></font>]] | [[ANLY482_AY2017-18_T2_Group_16_Documentation|<font color="#3c3c3c"><strong>DOCUMENTATION</strong></font>]] | ||
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| + | [[ANLY482_AY2017-18_Term_2|<font color="#3c3c3c"><strong>BACK TO ANLY482</strong></font>]] | ||
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| − | ==<div style="background: #ffffff; padding: 17px; line-height: 0.1em; text-indent: 10px; font-size:17px; font-family: Helvetica; border-left:8px solid #0091b3"><font color= #000000><strong>Project | + | |
| + | ==<div style="background: #ffffff; padding: 17px; line-height: 0.1em; text-indent: 10px; font-size:17px; font-family: Helvetica; border-left:8px solid #0091b3"><font color= #000000><strong>What are we up to?</strong></font></div>== | ||
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| + | <strong> 15 Apr, 2018 </strong> <br> | ||
| + | After catching up on sleep over the weekend, we would like to say we are finally done with our Analytics Practicum! It has been a whirlwind of activity - countless meetings, endless Telegram chats, a lot of consultations and re-thinking our life choices - but...we made it! Endless thank yous to our friends who have supported us emotionally, to our sponsor for their enthusiasm, and to our mentor Meena for her patience in handling three data nooblets. | ||
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| + | [[File:Village-people.png|centre|500px]] | ||
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| + | <center>''That's us!!''</center> | ||
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| + | </div> | ||
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| + | ==<div style="background: #ffffff; padding: 17px; line-height: 0.1em; text-indent: 10px; font-size:17px; font-family: Helvetica; border-left:8px solid #0091b3"><font color= #000000><strong>Project Description</strong></font></div>== | ||
<div style="margin:0px; padding: 10px; background: #f2f4f4; font-family: Open Sans, Arial, sans-serif; border-radius: 7px; text-align:left"> | <div style="margin:0px; padding: 10px; background: #f2f4f4; font-family: Open Sans, Arial, sans-serif; border-radius: 7px; text-align:left"> | ||
Volunteers are individuals or groups who provide services to an organization for no financial gain, in order to benefit another individual, group or organization. Beyond simply providing their services or labour, volunteers in Singapore are more likely to donate, provide technical expertise for the Voluntary Welfare Organization (VWO) itself, and even connect the VWO to other resources and connections. | Volunteers are individuals or groups who provide services to an organization for no financial gain, in order to benefit another individual, group or organization. Beyond simply providing their services or labour, volunteers in Singapore are more likely to donate, provide technical expertise for the Voluntary Welfare Organization (VWO) itself, and even connect the VWO to other resources and connections. | ||
| − | However, because they are unpaid, their financial impact is unaccounted for and unmeasured, and the social impact that they make has until recently been unquantifiable. This makes VWOs more likely to forget the importance of cultivating a strong volunteer workforce. Hence, | + | However, because they are unpaid, their financial impact is unaccounted for and unmeasured, and the social impact that they make has until recently been unquantifiable. This makes VWOs more likely to forget the importance of cultivating a strong volunteer workforce. On the flip side, this can create inefficiencies in programmes that have too many volunteers but impact a declining number of beneficiaries, for instance. Hence, our VWO would like to study its volunteers from 2015 to 2017, and to understand what affects their recruitment of new volunteers. |
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| − | + | Our client is one of the biggest VWOs in Singapore, with nearly all of its programmes being volunteer-run. Furthermore, while they do collect data, they have been limited to simply seeing the increases and decreases in volunteer hours, instead of making sense of their data. Given the broader context and their specific VWO needs, it's even more important that they know what their data is ''actually'' telling them. | |
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We are three graduating Social Sciences students taking a second major in Analytics. We've taken modules from Psychology Research Methods II to Visual Analytics, but our beginnings as Social Sciences students have inculcated a strong sense of social responsibility that we've decided to combine with our Analytics Practicum. We're excited (and scared) to work on this but we'll do our best! | We are three graduating Social Sciences students taking a second major in Analytics. We've taken modules from Psychology Research Methods II to Visual Analytics, but our beginnings as Social Sciences students have inculcated a strong sense of social responsibility that we've decided to combine with our Analytics Practicum. We're excited (and scared) to work on this but we'll do our best! | ||
| − | < | + | <center> |
| + | {| class="wikitable"; width=100%; style= "text-align: center" | ||
| + | |- | ||
| + | ! [[File:amirah16.png|200px]] !! [[File:jed16.png|200px]] || [[File:liangs16.png|200px]] | ||
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| + | | <strong> Amirah || <strong>Jed || <strong>Liangs | ||
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| + | | Psychology & Analytics || Political Science & Analytics|| Political Science & Analytics | ||
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Latest revision as of 21:21, 15 April 2018
What are we up to?
15 Apr, 2018
After catching up on sleep over the weekend, we would like to say we are finally done with our Analytics Practicum! It has been a whirlwind of activity - countless meetings, endless Telegram chats, a lot of consultations and re-thinking our life choices - but...we made it! Endless thank yous to our friends who have supported us emotionally, to our sponsor for their enthusiasm, and to our mentor Meena for her patience in handling three data nooblets.
Project Description
Volunteers are individuals or groups who provide services to an organization for no financial gain, in order to benefit another individual, group or organization. Beyond simply providing their services or labour, volunteers in Singapore are more likely to donate, provide technical expertise for the Voluntary Welfare Organization (VWO) itself, and even connect the VWO to other resources and connections.
However, because they are unpaid, their financial impact is unaccounted for and unmeasured, and the social impact that they make has until recently been unquantifiable. This makes VWOs more likely to forget the importance of cultivating a strong volunteer workforce. On the flip side, this can create inefficiencies in programmes that have too many volunteers but impact a declining number of beneficiaries, for instance. Hence, our VWO would like to study its volunteers from 2015 to 2017, and to understand what affects their recruitment of new volunteers.
The Client
Our client is one of the biggest VWOs in Singapore, with nearly all of its programmes being volunteer-run. Furthermore, while they do collect data, they have been limited to simply seeing the increases and decreases in volunteer hours, instead of making sense of their data. Given the broader context and their specific VWO needs, it's even more important that they know what their data is actually telling them.
The Team
We are three graduating Social Sciences students taking a second major in Analytics. We've taken modules from Psychology Research Methods II to Visual Analytics, but our beginnings as Social Sciences students have inculcated a strong sense of social responsibility that we've decided to combine with our Analytics Practicum. We're excited (and scared) to work on this but we'll do our best!
 |
 |
|
|---|---|---|
| Amirah | Jed | Liangs |
| Psychology & Analytics | Political Science & Analytics | Political Science & Analytics |
