IISPPR

Clean Water and Sanitation
Yogita Dhall

Decentralized Waste Management in Kerala: A Look at Alappuzha

This powerful image highlights the growing challenge of urban waste accumulation, illustrating the pressing need for sustainable solutions. Inspired by Alappuzha’s successful decentralized waste management model, it shows how communities can take charge by implementing local composting, recycling, and waste segregation systems. Through community-driven initiatives, such as biogas plants and composting units, cities can transform waste into a valuable resource, reduce landfill dependency, and foster a cleaner, greener environment for all. Alappuzha’s model offers a blueprint for cities worldwide to tackle waste effectively and sustainably

Read More »
Sustainable Cities and Communities
Yogita Dhall

ECO-URBANISM: DESIGNING CITIES FOR A SUSTAINABLE FUTURE

Imagine a striking visual of an ecology city: sleek skyscrapers adorned with vertical gardens, their green facades blending seamlessly with the azure sky. Streets are alive with cyclists and solar-powered buses, while vibrant parks burst with flora and fauna. A gleaming river snakes through, mirroring the city’s balance of technology and nature—a living symbol of harmony and sustainability.

Read More »
Health
sanjna

The Role of Creative Arts therapy in Trauma recovery

by Sanjna Senthil Kumar Introduction Trauma affects millions worldwide, with significant mental health consequences such as post-traumatic stress disorder (PTSD), depression, and anxiety. Approximately 10 % of people exposed to a traumatic event develop posttraumatic stress disorder (PTSD) (Daskalakis et al., 2018). Conventional therapies such as cognitive-behavioural therapy (CBT) are widely used but can be insufficient for some individuals, particularly for whom verbal processing of trauma is challenging (van der Kolk, 2015). This necessitates the need  to discover, and practise alternative treatments methods. In addition, it has been demonstrated that people with PTSD have memory deteriorations, specifically relating to verbal memory. (Samuelson, 2011) . In cases like these, Creative arts therapy (CAT) has emerged as an innovative and effective therapeutic approach for addressing trauma. (De Witte et al., 2021).  Creative Arts Therapy for Trauma Treatment Trauma, often characterised by overwhelming emotional responses to distressing events, disrupts the brain’s capacity for memory processing and emotional regulation (van der Kolk, 2015). Traditional talk therapies, while effective for many, may not sufficiently address the needs of individuals who struggle to articulate their experiences due to trauma-induced linguistic impairments, often referred to as “speechless terror”. Western treatment protocols for psychological trauma often include recitation of narratives, despite evidence that the human brain’s storage of traumatic memories undermines verbalisation. Creative arts therapists overcome this paradox in trauma recovery through nonlinguistic communication methods (Harris, 2009). CAT offers an alternative, non-verbal pathway to healing, providing survivors with opportunities to express, process, and transform their experiences creatively. Recent advancements in neuroscience and trauma therapy have highlighted the value of CAT, particularly in its ability to activate brain regions associated with sensory processing, emotional regulation, and memory reorganisation (Malchiodi, 2020). In culturally diverse settings, including India, CAT has proven to be adaptable, integrating indigenous art forms to create meaningful and relevant interventions.  Trauma: A Global and Indian Perspective Trauma exerts profound effects on the mind and body, impairing emotional stability, cognitive functioning, and social relationships. An estimated 3.9% of the world population has had post-traumatic stress disorder (PTSD) at some stage in their lives. Up to 40% of people with PTSD recover within one year. Whilst there are many effective treatments for PTSD, only 1 in 4 people with PTSD in low and middle-income countries (LMICs) report seeking any form of treatment. Barriers to care include lack of awareness that PTSD can be treated, lack of availability of mental health services, social stigma and lack of trained mental health care providers (World Health Organization: WHO, 2024). Moreover, conventional therapies such as cognitive-behavioural therapy focus on verbal articulation of trauma. Yet this approach can be challenging for individuals whose traumatic experiences have disrupted the brain’s linguistic and cognitive processing abilities (van der Kolk, 2015).  In India, trauma emerges from unique sociocultural and systemic factors. High rates of domestic violence, communal violence, and displacement due to natural disasters or conflicts disproportionately affect vulnerable populations, including women, children, and marginalised communities (Jhaveri, 2020). Stigma surrounding mental health exacerbates the challenge, limiting access to traditional mental health care. Against this backdrop, CAT provides a culturally sensitive and accessible alternative by integrating local art forms such as rangoli, folk music, and traditional dance into therapeutic practices, fostering greater engagement and healing (Banerjee, 2024). Mechanisms of Creative Arts Therapy in Trauma Recovery Creative Arts Therapy engages non-verbal modes of expression, enabling trauma survivors to process their experiences without reliance on language alone. By tapping into the brain’s right hemisphere associated with creativity and sensory processing, CAT facilitates emotional expression and memory reorganisation. Neuroscience research has demonstrated that CAT activates neural pathways involved in trauma resolution, supporting emotional regulation and resilience (Hass-Cohen et al., 2018). Art Therapy Art therapy is one of the most widely recognized modalities of CAT, utilising visual expression to externalise trauma and emotions. Creating symbolic representations of distress allows individuals to gain distance from their experiences, fostering a sense of control and safety (Hass-Cohen et al., 2018). A study by Stuckey and Nobel (2010) found that trauma survivors engaging in art therapy experienced significant reductions in anxiety and depressive symptoms. Similarly, Chapman et al. (2001) observed that survivors of interpersonal trauma reported heightened resilience after participating in structured art therapy. Art therapy allows for the creation of symbolic representations of trauma, which research suggests can foster emotional regulation and provide distance from distressing experiences (Hass-Cohen & Carr, 2008; Schouten et al., 2014). In Sri Lanka art therapy workshops for tsunami survivors revealed significant reductions in PTSD symptoms among children, who used drawing to express grief and fear (Chilcote, 2007). A 4-week art therapy intervention was implemented at a local school for 113 children ages 5 to 13. Art therapy was found to be an effective cross cultural intervention for these young tsunami survivors.  Music Therapy Music therapy employs rhythm, melody, and harmony to regulate emotions, reduce stress, and foster connection. Research indicates that music therapy aids in emotional regulation and stress reduction, which are essential for trauma recovery (Bensimon et al., 2008 ; Carr et al., 2011). Music therapy also fosters relaxation and lowers cortisol levels, helping patients manage symptoms of hypervigilance and anxiety (Silverman, 2003). Traditional Indian instruments like the sitar and tabla have been successfully integrated into therapeutic sessions, providing survivors with culturally resonant ways to engage in healing (Sundar, 2007).  Dance/Movement Therapy Dance/Movement Therapy (DMT) emphasises bodily expression to process trauma held somatically. Trauma often manifests in physical symptoms, such as muscle tension and chronic pain, which DMT addresses by reconnecting individuals with their bodies and fostering a sense of agency (Tomaszewski et al., 2023).  Dance/movement therapy, which emphasises physical expression, helps individuals process trauma held in the body, a phenomenon often referred to as “somatic memory” (Bujorbarua, 2020). Individuals therefore experience increased bodily awareness and reduced somatic symptoms related to trauma (Steinberg-Oren et al., 2016).  In India, Bharatanatyam-based dance therapy programs for survivors of abuse have been effective in reducing dissociation and improving self-esteem, as movement encourages survivors to reclaim their physical presence and autonomy. Bharatanatyam can

Read More »
Quality Education
Megha Agarwal

Reshaping the Future: Integrated Digital Learning in Rural India

Empowering rural communities with digital learning unlocks the potential and provide a better opportunity for holistic development. In this research article, we tried to emphasize the significance of digital learning, various government initiatives, major challenges, and the key prospect of digital literacy in rural India. With the vision of the Digital India mission, we also shed light upon productive solutions that may lead to a greater change with regard to digitalization in rural India.

Read More »
Climate Action
Abhishek Kumar

Carbon Trading and Technologies Used in Carbon Trading Market

~By Abhishek Kumar  Introduction Carbon Trading represents a market-oriented mechanism for mitigating climate change, facilitating the exchange of carbon credits to control greenhouse gas emissions. Initially introduced under the Kyoto Protocol, it has become a central instrument in international climate policy, enabling countries and organizations to achieve emission reduction targets with greater efficiency (Tietenberg, 2006). It’s key models include cap-and-trade and carbon offset programs, which incentivize emission reductions through market mechanisms (Ellerman et al., 2014). With the Paris Agreement, carbon markets have expanded, supporting global decarbonization efforts and promoting cost-effective pathways to a low-carbon economy (UNFCCC, 2015; Sterner, 2003; World Bank, 2020). Carbon Trading Concept Carbon Trading, also known as emissions trading, is a market-based approach to reducing greenhouse gas (GHG) emissions. It allows countries or organizations with high emissions to buy “carbon credits” from those with low emissions, aiming to limit overall emissions in line with climate goals. This system was popularized under the Kyoto Protocol and is now also integral to the Paris Agreement’s framework. Mechanics of Carbon Trading: The fundamental concept of carbon trading lies in creating a cap-and-trade system. Regulators set a cap on total emissions, and entities are given or can purchase allowances representing the right to emit a specific amount of CO₂. Those who reduce their emissions below their allowance can sell excess credits, incentivizing low-emission practices. Over time, the cap is lowered, which is designed to gradually reduce emissions across the board (World Bank, 2021). Carbon Markets are generally divided into two main types: 1. Compliance Markets: Market Created through regulatory policies like the European Union Emissions Trading System (EU ETS), these markets require participation from industries with high emissions, such as energy and manufacturing sectors. 2. Voluntary Markets: These markets are driven by companies or individuals seeking to lower their carbon footprint beyond legal requirements. Voluntary markets have been expanding as organizations commit to climate goals to showcase their dedication to environmental sustainability. Benefits and Criticisms: Carbon trading incentivizes emission reductions, enables cost-effective achievement of climate goals, and fosters investment in cleaner technologies. However, it faces criticism for potentially allowing wealthy companies or nations to avoid genuine reductions by purchasing offsets, sometimes resulting in insufficient action toward lowering actual emissions (UNFCCC, 2022). Overview of Kyoto Protocol: The Kyoto Protocol, adopted in 1997 and entered into force in 2005, was the first significant international treaty aiming to combat climate change by reducing greenhouse gas (GHG) emissions. It established legally binding targets for industrialized nations (also known as Annex I countries) to reduce their emissions by an average of 5% below 1990 levels over the commitment period from 2008 to 2012 (UNFCCC, 1998). Mechanisms of the Kyoto Protocol: The Kyoto Protocol introduced several innovative mechanisms to assist countries in meeting their emission reduction targets: 1. Emission Trading: Allowed countries with surplus emission allowances to sell these to countries that exceeded their targets, forming the foundation for the carbon trading market. 2. Clean Development Mechanism (CDM): Enabled developed countries to invest in emission reduction projects in developing nations, earning certified emission reductions (CERs) that counted toward their targets. 3. Joint Implementation (JI): Allowed industrialized countries to earn emission reduction units (ERUs) by investing in projects that reduced emissions in other industrialized countries. These mechanisms provided flexibility and cost-effective solutions, encouraging international cooperation on climate action (World Bank, 2021). Second Commitment Period and Limitations: In 2012, the Doha Amendment established a second commitment period (2013–2020) with revised targets, although this amendment faced ratification challenges, limiting its global influence. Moreover, critics noted that the protocol lacked enforcement mechanisms and exempted developing nations, resulting in some major emitters not being bound by reductions (Grubb et al., 2020). Transition to the Paris Agreement: The Kyoto Protocol paved the way for the Paris Agreement in 2015, which expanded the scope to include commitments from all countries, not just industrialized nations. The Paris Agreement’s flexible structure addressed some limitations of the Kyoto Protocol, making it more inclusive and globally focused on long-term climate targets. Technologies Used in Carbon Trading Market 1. Blockchain Technology is increasingly being adopted in carbon trading to enhance transparency, efficiency, and security. By providing a decentralized ledger system, blockchain enables verifiable and tamper-proof tracking of carbon credits, reducing the risks of fraud and double-counting and allowing a seamless transfer of credits between buyers and sellers ( Treiblmaier & Beck, 2019). Key Benefits of Blockchain in Carbon Trading: • Transparency and Traceability: Blockchain creates an immutable record of transactions, ensuring each carbon credit’s origin, ownership, and transfer history are transparent. This addresses common issues in carbon markets, such as double-counting credits, by ensuring that each credit is unique and only transferred once (Broek et al., 2019). • Efficiency and Cost Reduction: Traditional carbon credit verification and trading processes can be time-consuming and costly. Blockchain streamlines this by enabling peer-to-peer transactions without intermediaries, reducing both administrative costs and transaction times. • Enhanced Trust and Credibility: With blockchain’s decentralized nature, each participant in the network has access to the same information, which builds trust among stakeholders, including companies, governments, and non-governmental organizations (NGOs). Blockchain also makes it easier to integrate carbon markets with corporate sustainability goals, improving the reliability of claims about carbon neutrality or reduction efforts (Radhakrishnan et al., 2020). • Smart Contracts for Automation: Blockchain supports the use of smart contracts, self-executing contracts with terms directly written into code. In carbon trading, smart contracts can automatically validate, settle, and enforce carbon credit trades when pre-defined conditions are met, simplifying processes like compliance verification (Loh et al., 2021). Emerging Use Cases and Platforms: Several blockchain-based carbon trading platforms have emerged, including IBM’s Carbon Credit Management System and initiatives like Veridium and Climate trade. These platforms aim to create more accessible, transparent, and reliable carbon markets, potentially reaching broader participation by both large corporations and individual investors. Challenges and Future Prospects: Despite its benefits, blockchain in carbon trading faces challenges such as scalability, regulatory uncertainty, and energy consumption in blockchain networks. However, ongoing research and technological advancements may address

Read More »
Affordable and Clean Energy
Shriya Aishani Rachakonda

How Renewable Energy is Changing Everyday Life: From Rooftop Solar Panels to Electric Cars

India’s renewable energy transformation is reshaping daily life through accessible and impactful innovations. With rooftop solar panels supported by initiatives like the National Solar Mission, households can generate clean energy, cut electricity costs, and reduce emissions. Electric vehicles, now more affordable thanks to the FAME scheme, are changing urban transport dynamics. In rural areas, community microgrids provide reliable power in regions prone to outages. Government policies and incentives have spurred nationwide adoption, positioning India as a global leader in renewables. As new technologies emerge, renewable energy will increasingly integrate into Indian life, driving a cleaner, sustainable future.

Read More »
Health
Bhavya Gupta

Psychological Surveys: An Essential Component of Mental Health Diagnostics?

By Bhavya Gupta Introduction Health is a philosophical concept that encompasses a fulfilling life, purpose, positive relationships, self-respect, and mastery, rather than merely the absence of illness (Ryff & Singer, 1998; WHO, 2000, 2004) Mental health diagnostics are subtle art of identifying and treating mental disorders, which greatly modify the mental makeup of many other people. Surveys form the basis of that information-from surveys flow information which on both a broader level determines public health strategy and, on a narrower personal level, works on individual treatment planning (Torre et al., 2023) Development in surveys continues to be focused on validating and testing a new approach, including overcoming biases and building effective methodologies (Torre et al., 2023; Wackers & Schille-Rognmo, 2022). With the use of surveys, one may detect mental disorders early which further may prevent mental disorders from becoming progressively worse, and hence, allow good treatment (Sarkar et al., 2022). With surveys providing greater social insight across cultures, surveys inform health policy and improve care for those struggling with mental health issues (Abidogun, 2023; Lutejin, 2019; Bhugra, 2022). Understanding Psychological Surveys Before understanding psychological surveys, it is important to understand the background of traditional mental health diagnostics that inculcated surveys later in development. Conventional diagnostic methods in mental health primarily involve trained practitioners conducting clinical interviews and assessments According to Mueller and Segal (2015), these approaches may range from structured to semi-structured and unstructured with benefits and limitations regarding their application for reliability and validity. While these assessment tools are based on correctly diagnosing the condition, any judgment the clinician employs in interpreting the symptoms can translate into inconsistencies in diagnosis and treatment (Novak, 2015). In addition, access to mental health care is limited for many, due to different social and economic conditions and their geographical locations (Rudenko, 2023). The stigma surrounding mental health poses another obstacle for the diagnostic process, but a limiting resource for the very purposes of diagnosis (Rudenko, 2023). In such a case, psychological surveys could function as a better-enhanced traditional diagnostic method. The accessibility of surveys is somewhat complex and methodological, concerning survey design, scoring, and cognitive processes of responders. A survey is defined as one that collects measures and analyzes data from a sample of respondents to make generalizations about behavior in itself (American Psychological Association, 2018). Surveys can provide answers to many questions, assess needs, set goals, and analyze trends over time (Cambridge English Dictionary: Meanings & Definitions, 2024). Their ability to garner user-friendly and standardised data helps to expand the frontiers of the traditional diagnostic method and enhances the accuracy and accessibility of assessment in mental health. Kraemer (1991) identified three distinguishing features of survey research: Survey research provides quantitative information about a specific population. These aspects frequently involve investigating the relationships between variables. Survey research data is subjective as it comes from individuals. Survey research involves sampling a subset of the population and generalising the findings to the entire population. These surveys seek to measure the prevalence of different mental health issues, such as those related to specific populations such as tech professionals, along with attitudes towards mental health in the workplace (Rasheed et al., 2024). Furthermore, the psychometric instruments used in these surveys are critical for ensuring the reliability and validity of the data collected, even though they may have methodological challenges due to their historical development (Wackers & Schille-Rognmo, 2022). Overall, psychological surveys are critical in mental health assessment, guiding targeted interventions and improving overall well-being. Technological Advancements in Psychological Surveys Technology such as mobile phones and digital platforms has revamped the administration of psychological surveys to a new degree of efficiency and ease of access. These technologies allow a continuous collection of data in real time, with enhanced ecological validity and reduced biases from alternative methods (Elosua et al., 2023). Mobile applications such as PsychVey make survey construction and data analysis seamless with minimal errors from the side of the respondents (Nguyen et al., 2015). In addition to this, the development of AI and machine learning is transforming data analysis: they can analyze data fast and efficiently in volumes that far surpass the capabilities of a human analyst. AI algorithms will also contribute to the personalization of survey experiences via adaptive questioning based on previous answers by respondents. Such advances will allow for the mining of meaningful information from large volumes of data, thus improving clinical inferences (Galatzer-Levy & Onnela, 2023). These serve well for remote assessments and telehealth, while wearable technologies allow continuous monitoring of psychological health, which integrates self-tracking with therapeutic interventions. This is especially critical in enhancing the availability of mental health resources to remotely located individuals with mobility difficulties (Morris & Aguilera, 2022). Nevertheless, the mentioned advantages bring into the equation various concerns about data privacy and the need for stringent validation of these digital tools in a clinical context (“Digital technologies and the future of social surveys”, 2023). Future Trends There lies the possibility for great evolution into the future of psychological surveys concerning personalisation, integration with health care and continuous monitoring, all acting to improve the relevance of psychological assessment and the patient’s clinical outcomes (Cernigilia, 2024). While new surveys will personalize questions according to context and background, they will also be built upon psychometrically validated frameworks- evidence of their relevance. Personalized feedback mechanisms that allow for individual-response modification of treatment approaches will also arise (Farhat-ul-Ain et al., 2022). Surveys will become part of everyday healthcare, enabling observation of mental alongside physical health (Paradiso et al., 2010). Electronic health records (EHRs) will integrate with operational data, providing a comprehensive view of individual patient health and helping make care more personalized (Andrew et.al, 2024). This recent change in the dynamic of analytical models will open the space for longitudinal assessments (Oliden et.al, 2023) Conclusion In conclusion, psychological surveys are a fundamental part of mental health diagnostics, and they have introduced many advancements over traditional approaches by standardizing and making data collection more accessible. And with technology, especially mobile applications and artificial intelligence,

Read More »
Quality Education
Megha Agarwal

Inclusive Education : A Sustainable Route to Quality Learning for All in India

Inclusive education is unlocking the potential of every child. It builds the holistic development of a learner. Inclusive education covers all children without any discrimination. It emphasizes SDG Goal 4 and ensures quality learning for all in India. It covers a wide area for the overall well-being of differently abled children.

Read More »
Decent Work and Economic Growth
Priyanka Chauhan

Eradicating Child Labor: Sustainable Development Goal 8

Child Labor is a global issue and requires substantial efforts to eradicate the issue. There have been efforts to reduce Child Labor. Education is an effective strategy to address child labor. Making school universal has gone hand-in-hand with reductions in child labor worldwide. Policymakers need to strengthen both access to, and quality of, elementary and secondary education. Education solves the issue of child labor, by channeling the interests of children in their careers. Another solution to reduce Child Labor is to educate child laborer’s parents. Awareness drives have motivated many parents to invest in their children’s education, but there are still some who prioritize money over education.

Read More »