How Human-Centric Approach to Data Can Help to Make a Better World? 12 Methods

Make a Better World

by Shamsul
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How Human-Centric Approach to Data Can Help to Make a Better World?

12 Methods

Human-centric approach, every day, twenty five quintillion bytes (25,000,000,000,000,000,000) of data are generated. It is a most progressive era and loaded with data. Stimulating activities and informing policies can help to fix the pandemic, gender inequality, and climate change. It is not possible to achieve an equitable and sustainable future without the right system. Global challenges are evolving day by day, and our approach to data can help to make a better world. The WEF (World Economic Forum), in cooperation with the City of Helsinki, arranged a virtual webinar that includes innovators. The main purpose of this virtual webinar is to find new ways centered around people’s expectations, requirements, and values.

Many professionals, practitioners, and leaders share their valuable ideas in this webinar on how a human-centric approach to data can improve the world. We are going to mention their ideas and suggestions below:

Digital Divide Should be Closed in Cities (Carlos Santiso, Development Bank of Latin America):

A human-centric approach to data is really important for developing countries to minimize the digital gap in cities. In poor cities, there is a big portion of inequality, rejection, and informality. Data should be driven through people-centered solutions. There is no need to focus on data-rich factors. In the United States, the importance of data is really huge like public data, administrative data, public registries, and government statistics. This kind of data can be used for the help of beneficiaries. It is crucial to close the digital gap in cities.

Rearrangement of Power Dynamics (Viivi Lahteenoja, Project Fellow & Special Adviser) | Human-Centric Approach

There is no denying that data is the ultimate power and provides so many greatest opportunities. Rearranging power dynamics help to make data equitable and fairer. It is necessary to redefine both digital and non-digital demesnes, and it leads to two different routes such as empowerment and fairness. It would be best if you chose both realms to rearrange the power dynamics.

Allowing a Benign Olympics (Eric Pol, Chairman, aNewGovernance):

A French financial institution Cassie de Depots announced they would form data space. They are doing this for the Paris Olympics 2024. The actors and experts share data with people to improve the transportation and accommodation experience. This project name is THEMIS, and its main purpose is to deliver the correct data in an organized way. It helps to empower individuals to enhance their travel and lodging. This initiative will help to improve these two sectors because Covid-19 has affected them badly. In order to make this project successful, there is no need to pay much focus on technology. It depends on the stakeholders and their networks. Trust is the most important factor in the entire process, and it is only possible with a human-centric approach.

Re-Defining the Patient Knowledge (Chrissa McFarlane, CEO & Founder, Patientory):

You can also categorize the human-centric approach as inclusion. It is crucial for distributing medical innovations on large scales. In this way, healthcare specialists and patients can enhance their experience by identifying the risks and a human-centric approach can do wonders in this matter. It helps to strengthen overall medical or healthcare qualities. With accurate healthcare data, healthcare experts can easily take action in real-time. You can only introduce positive change in the healthcare system by re-defining the illness and treatment. Must consider it as the journey of life, not an impairment.

Creating a Public Policy (Ewa Luger, Chancellor’s Fellow in Digital Arts and Humanities):

There is no doubt that a people-centric approach to data can help to shape a system or public policy. It involves human motivations, practices, and abilities. It is only feasible with civic-data interaction. Moreover, it can help to create a public policy interface as well as engagement. Just throw away the on-size fits all policy or approach and make policies that favor everyone. This kind of public policy helps create an inclusive data-driven community and approach a wider public group.

Encouraging the Economic Wellbeing (Paul Wallis, Chief Technology Officer, Obashi):

Algorithms widely infuse our lives, and with the right human-centric approach, we can find plenty of solutions that produce reliance. This thing can greatly influence the financial well-being of people, like banking verdicts and credit ratings. Real algorithms have permanent or lasting effects on individuals’ day-to-day lives. If you use data in privacy, it can benefit the citizens and work best for their interests. In this segment, the socio-technical approach can play a big role. It is really easy to recognize the flow of data with plenty of algorithms and applications. When it comes to creating a profile of any citizen, it is critical to know how to alter data to use in the best possible way.

Allowing Local Services (Davide Calvi, Founder & Lead Data Scientist) | Human-Centric Approach

Local governments and services can make a huge impact because they are really close to the public interest. It allows them to use data in the favor of their respective communities. For this purpose, we need to educate people on the data privacy subject. It will create opportunities for both government and private sectors to work for the benefit of people. This is only possible when we establish the roots of trust between local authorities and citizens. First of all, improve the citizen’s data literacy and ensure that their data usage is transparent. Once you establish the trust, people will feel vested to make the right decisions. They feel safe sharing their data with any organization.

Guide on Brand Loyalty Building:

Yannis Kptziagkiaouridis, Global chief data and analytics officer at Edelemnen Data and Intelligence, shared his valuable point of view in regard human-centric approach, saying that…

Suppose a brand aims to gather data for providing a better and personalized shopping experience to individuals. In that case, the human-based data gathering approach is always more suitable and suggested as it carries more potential. Such an approach provides more help in terms of effective use relative to the needs and values of a wider scale of people. This kind of data insight is far more useful for any marketing brand to upgrade or give results according to their customer demand and social needs. Such data also help brands to understand those changes that individuals might not be able to yield on their own but want to see on a bigger scale. When taken, these kinds of steps help the brand target more and their desired population with the stronger connections built with the customer, which will be harder to break.

Data is like a Token of Empathy:

It was further said that the data cannot and should not be treated as either currency or a new market material (like oil). One person cannot hold data, market, or organization or extract by any simpler means. Data is a gift and you should share equally and mutual benefit should be more of the concern. Data is like a token of empathy which is inflowing by receiver and sender to each other and different other parties. Success can only be achieved by considering people’s hopes, dreams, needs, and fears rather than just relying on transactional data. Human-Centric Approach Data collectors should stop categorizing people on the basis of their certain choices but should consider them living humans as they have more than a simple choice, this complexity of needs, fears, and hopes are what makes us all human.

A Guide on Acquiring Better Public Outcomes | Human-Centric Approach

Sushant Kumar works for the Omidyar Network as a Director Responsible Tech and has given us their valuable suggestions on the human-centric approach by saying;

When used in the healthcare sector, the human-based data collecting approach will provide us with tremendous help. It will improve the health outcomes of the people and help manage the overall process with more efficiency. They will prefer to share their health data with the system with the assurance of empowerment and privacy. If such data is processed, it will gain the trust of the public in the agency and, when interpreted, will also be beneficial for the health of individuals, app & devices accuracy, and the hospital’s provided services to be efficient. Such data will also be more easily and effectively useable at the public institution level as health-related research and studies will be more based on the relevant data rather than assumed numbers. It will cause a long-term benefit in each of these sectors, which was unseen before.

Three Layered Process:

To unlock social impact at such a large scale will require a 3-layered process, a service layer followed by a framework, and authority/ permission. For the authority layer, we will need a mindset that will allow and support such data collection. Such a system will allow social benefits and provide co-existence of privacy with better and effective data collection. Secondly, we will need a proper framework while public engagement is necessary to collect the data. The second step involves finding some trusted person/parties that will act as intermediate contacts for supervising and exchanging the collected data. Such a process will be a large step to replace the data collected on the entrepreneurial level by institutions with the diverse population’s provided more reliable data.

Certifying the Safety, Quality, and Security of Technology (Lisa LeVasseur, Founder and Executive Director, Me2B Alliance) | Human-Centric Approach

The use of human-based “yardsticks” has already started to measure the related tech’s respectful behavior and safety. Safety standards (set on the basis of human-based data collection) of different industries that are parallel with the rules of their region will show a great enhancement in the safety and quality of respective public or private industries.

Whether we are dealing with an industry’s data or an organization, standards should be set by being radically comprehensive, considering various different events, and being multi-purpose. Human-based data collection is complex but more productive than it might seem. It requires a deep and unique understanding of human needs, points of view, and thinking. Mutual development cannot be made by keeping everyday people apart from the process as considering and connecting to their interests will equally facilitate them and the tech. Creating human-centric approach engagements is not so tough and by thoughtful and considerate steps, human-centered practices and technology commitment can surely be achieved and enhanced.

Increasing the Influence in the Global South (Joao Arthur Da Silva, Center for the Fourth Industrial Revolution Brazil):

It is really imperative to exploit a human-centric approach to data as an inclusive principle. But, you should test with powerful applications in order to provide solid evidence. It results in the direct benefit of societies as well as individuals. It should be on a large basis so that people around the globe can also take advantage. You need to diversify experiments in the global context and Global South is the most important region. You can utilize use cases to implement it in developing countries.

Building Loyalty in Relations and Institutions (Justine Cassell, Professor, and Researcher from Carnegie Mellon University):

According to professor Cassell, any information processed in the hands of humans, you can name as data. So using a human-centric approach data collection approach is a valuable and worthy step for generations and management. There cannot be any industry, organization, context, or area where data can be considered as a separate entity from what it was actually collected, the humans, and to whom it is supposed to benefit at the very end.

Data is the information coming from humans and apply for taking actions for them. So a primitive connection based on trust is essential for data to be extracted and collected safely and effectively. You can use this data for either best or the worst purposes, so trust-building is necessary which is a slow process and takes transparency just like every other connection. If the data is more sensitive, trust-building progress should be slower and so should be accessible to the knowledge of one’s goals, activities, and feedback.

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