In the first part of this article (read here), we discussed 10 technologies that could be wielded for impact like Artificial Intelligence, 5G Technology, Blockchain, Open Source advancements, etc. In this article we look through 10 more technologies that hold the potential to be used in the social good space:.
Advanced Prosthetics/Robot Engineering - With the marvel of Artificial Intelligence, robotics, and Virtual Reality, doctors are now able to create smarter bionic prosthetics for any human in need of artificial limbs. Robotics engineering and VR research enable doctors to ensure better fitment of artificial limbs on humans. This could aid those with physical challenges to move more naturally and experience higher mobility.
Assistive Technology - Many people face difficulties in performing daily activities like eating, grooming, mobility, etc. due to different disabilities. Technological aids like electronic braille, learning instruments, sign language apps, autism-friendly apps, electronic media etc could aid such persons.. Using next-gen technologies, hybrid functionalities to support persons with disabilities through a single device might be developed within the coming decade.
Augmented Reality(AR)/Virtual Reality (VR) - Nonprofits working in the disability space could use AR/VR technologies to communicate and establish a relationship with children and adults who have a problem with communicating and connecting with people around them. These can also help people with scheduling mock scenarios concerning women’s safety, job interviews, for people suffering from autism and social anxiety, etc. It can be used by dementia patients to unlock their potential memories. AR/VR can be used to create a separate environment for individuals suffering from neural disorders to develop their motor and navigation skills. With the development of this technology still in works, the full potential of these are still under exploration.
3-D Printing - 3-D printing may hold the key to disrupt manufacturing. In the healthcare sector, 3-D printing can be used for creating bionic limbs, prototype devices for testing and research etc. It can even be used to create artificial coral polyps to regenerate damaged reefs. With high investment costs and installation prices, 3-D printing is not very commercial. But with a minimal set-up, NPOs operating in the space could teach those in socially secluded sections to create various skill-based products like industrial parts, jewellery, etc. Eg - YTF Foundation teaching poor students how to use 3-D printing for employment and empowerment in Africa.
E-Philanthropy - With the help of Social Media and Digital Marketing, E-Philanthropy can help in retaining genuine and loyal supporters for social causes. NGOs can utilize these platforms to generate donors, potential prospects and influencers who can help the organization to spread awareness and gain familiarity. With this in mind, social media can also be a great platform to generate new donors and funds for a social initiative. With Google Analytics and social advertising, one can create a high engagement through website and social media pages.
Fundraising Tech - Fund Raising tech deals with the understanding and implementation of data conceptualization, segmentation, surveys, engagement level tracking, data auditing, and research. In data conceptualization, NGOs can gain insights and patterns from their donor database to understand and retain donors. Using segmentation and survey analysis, NGOs can find their shortcomings and work on these to improve donor gaining rate. It is very important to audit and research the audience using raw data to gain potential prospects and understand the market. With that, NGOs can keep track of the user engagement levels and feedback reviews from the donors to keep them happy and acknowledged.
Donor Retention and Peer to Peer funding - With the help of the web, social media, and the internet, peer to peer fundraising has become simpler and powerful. Thanks to the internet connecting with donors has never been easier, NPOs can easily send them statistics and reports related to their activities future targets, beneficiary videos etc. Also, thanks to simpler digital payments, one can easily gain and give donations. Personalized emails, online acknowledgements of support etc are gestures that could help in donor retention and organic growth of the organization.
CRM Dashboards - NGOs could use Customer Resource Management (CRM) tools to ease their management and other transition processes. This helps in cost management, time savings, and fewer labour inputs. It also helps in maintaining a track record and workflow of the NGO. These also help in securing and keeping track of the organizations’ resources and utility management that will help them in every stage.
Mobile Tech Advancements - NGOs need to make sure that they constantly keep updating the content and the overall aesthetics of its mobile app. They need to secure their apps so that no external source can cause any kind of displacement. Next, the app should please the user and motivate them to use the app regularly, hence the user interface, experience, and performance should be highly adept and smooth. New frameworks along the lines of Android updates and iOS updates can help the overall performance and contribute to user satisfaction
Hardware Technologies (Next-generation IT infrastructure (NGI))- The unrelenting upgrades in software need to be compensated with the hardware devices running them. Next-generation infrastructure is about integrating a system of infrastructure platforms, in a cost-efficient and secure manner, to comply with the new tech developments. No good software can run on a device if the hardware technology is incompetent and unstable. For NPOs to adopt next gen technologies like AI, ML, Big Data models, they need to have the necessary hardware system and supporting technology to ease the software development. NGI helps the infrastructure to adapt and utilize these technologies without any hindrance or glitches. Eg - Quantum Computing (a type of smart computer) helps with neural networks and test iterations in AI models.