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Innovation Challenge Fund (ICF)
Concept Note Template
|1. |Name / Organisation |Dr. S. Manasi, Associate Professor |
| | |Economist |
| | |Institute for Social and Economic Change (ISEC) |
|2. |Email address / Phone number |manasi@isec.ac.in, 9900496579 |
|3. |Title of Project |Artificial Intelligence in Combating Municipal Solid Waste Management –– with |
| | |special focus on Bengaluru and London |
|4. |Application for ICF Cluster |(Please delete one) |
| | |AI/Data Science, Karnataka |
|5. |Co-Members of the Consortium * |# |
| |(Type – Indian Academia, Indian Business, International |Organization |
| |Academia, International Business, Indian non-commercial |Type |
| |organisation, International non-commercial organisation, Other| |
| |- specify) |1. |
| | |Dr. Malini Laxminarayan Tantri, Assistant Professor |
| |* Information not mandatory for the concept note stage. |ISEC |
| | |Indian Academia |
| | |Economist |
| | | |
| | |2 |
| | |Ms. Sindhu Kedilaya |
| | |Senior Associate |
| | |Atlantis Architects |
| | |Architect and Urban Planner |
| | | |
| | |3 |
| | |Dr. Shree Vyas |
| | |Department of E-Governance- GoK |
| | |Subject Matter Expert AI and IoT |
| | | |
| | |3 |
| | |I got Garbage and Citizen Age |
| | |Indian Business |
| | | |
| | |4. |
| | |Hasiru dala/Waste Wise |
| | |Indian NGO |
| | | |
| | | |
| | |UK Partners |
| | | |
| | | |
| | |1. |
| | |Prof. Charlotte Goodburn |
| | |King’s College, London |
| | |(Confirmed) |
| | |UK Academia |
| | | |
| | |2. |
| | |Prof. Stuart Barnes (yet to confirm) |
| | |UK Academia |
| | | |
| | |3 |
| | |Dr. Kate Meehan (Yet to confirm) |
| | |UK Academia |
| | | |
| | |4 |
| | |Uclan University of Central Lancashire (yet to confirm) |
| | | |
| | | |
|6. |If you do not already have agreed consortium members, please | |
| |indicate here the kind of partners you would like to hear | |
| |from. | |
|7. |Are you content for us to publish your concept note on our web|Yes |
| |platform in order to encourage potential consortium members to| |
| |reach out to you? | |
|8. |Funding Requested (up to £250k) |(Please give an indicative value in £) |
| | |£235k |
|9. |Co-funding provided (if any) and source |No |
|10. |Please summarise your Innovation Challenge Fund research |AI in MSW is a hope with the challenges of COVID 19. In India, Governance is a |
| |project in one sentence. 350 character limit |challenge. In UK, it is the second - generation problems. Issues across levels of|
| | |MSW are researched extensively. AI in MSW to suit specific contexts needs |
| | |exploration. Our study will explore and strategize economic feasibility and |
| | |ecological efficiency using AI in the study cities in general and specific |
| | |locations to improve governance. |
|11. |Please describe your project further. 2500 character limit |
| |What problem does your pilot seek to address? |
| |In the context of Bangalore, India |
| |Ward level study (Ward No 168) at Bengaluru city will be taken up to understand the suitability of AI at the Segregation, Collection and |
| |Transportation stages. |
| |Solutions through AI across above mentioned levels with experimentation (at ward level) |
| |Solutions through AI in Disposal and Treatment based on review – documentation of best practices |
| |Strategies will be suggested to other wards of the city based on typology of ward level issues |
| |In the context of London, UK |
| |Currently, UKs system with respect to segregation, collection and transportation is largely in place. |
| |Solutions through AI in Disposal and Treatment will be studied through review |
| |Status and future improvements in using AI will be addressed from the Governance perspective |
| |Who are the potential beneficiaries and other stakeholders? |
| |In the context of Bangalore, India |
| |People of the ward/city with improvement in quality of life |
| |Sanitation workers to prevent occupational hazards |
| |NGOs – awareness creation and inteventions |
| |City corporation – improved governance |
| |In the context of London, UK |
| |Impacts through Environmental benefits |
| |Improvement in governance to create a circular economy |
| |Can be a resource for creating awareness about consumer behaviour on being mindful about waste generation |
| |What are the inputs and activities, and what are the outputs? |
| |All activities will be perceived in the context of MSW and AI |
| |Review of literature |
| |Compilation of existing data base |
| |Identification of research gaps |
| |Demand Supply gap of service and expectations |
| |Develop Indicators to identify AI options to suit local contexts that are economically feasible and ecologically efficient, and socially |
| |acceptable |
| |Baseline experimentation at Ward level with waste generators with the help of the NGO |
| |Involving the Business partners in planning/streamlining the system of dry waste collection approaches |
| |Outputs |
| |Extensive data base format and experiment results at ward level (this could be extrapolated at the city level) with input options from AI |
| |implementation |
| |Menu of solutions/options for MSWM using AI in specific ward and city contexts based on geographical characteristics, economic feasibility, |
| |ecological efficiency and socially acceptable based solutions |
| |What does success look like after 12 months of funded research? |
| |Strategies and a full-fledged plan of AI application options for the City and implemented AI in Ward 168 Bengaluru, with experimentation |
| |Strategies and approaches for improve governance of AI application in disposal and treatment in London contexts |
| |How will your solution reach the marketplace? |
| |Given that the study addresses concerns at a micro level and understanding at a macro level, we will document the need gap across the levels |
| |during survey and discussions. Given that the business partners are part of the group, we will pursue ‘waste not as waste but as a misplaced |
| |resource’. |
|12. |What is ‘technological’ about your proposed solution and why |Explore Options HH Collection |
| |might this be appropriate to the challenge areas? |Radio Frequency Identification (RFID) tagged. Staff to scan RFID tag through |
| |1000 character limit |scanners |
| | |Routing through smart card |
| | |Linkages with waste collector’s phone |
| | |Secondary data updated onto central server using IoT |
| | |App based interactive interface linked with mobile for raising complaints. |
| | |Bulk generators - bins with sensors indicating level of filled waste connected to |
| | |central server and GPS enabled auto tipper/compactors. |
| | |Data analysis of segregated waste collection programmed with AI. |
| | |Explore options Waste Collection-Tippers/ Compactors |
| | |Waste collector vehicles tracked and monitored using GPS with real time access to |
| | |citizens |
| | |Strategic location route planning real time |
| | |Area identification of transport vehicles using sensors |
| | |Appropriate for addressing challenges |
| | |Real time tracking |
| | |Trip reports no of bins, time of clearance, distance |
| | |AI adaption for efficiency in MSW Governance |
| | |Minimized contact with waste for sanitation workers, complaint reduction, better |
| | |resource planning and decision making. |
| | |Economic feasibility eliminating unnecessary expenses. |
| | |Live data display of waste generated wardwise |
|13. |Is your proposed solution a response to the impacts of |The proposed solution will look an effort towards containment of the pandemic. |
| |COVID-19, or an effort to contain the pandemic? If so, please |The pandemic has proven that the health risks to society at large, people in |
| |explain. |cities, sanitation workers and to people in contact at household level is huge, |
| |1000 character limit |more so in India. Besides, the economic and health costs are immense. It is |
| | |high time we use intelligent solutions to handle the jobs that involves the lower |
| | |rung of employment and avoid occupational hazards. Handling and Managing waste |
| | |will change with the intervention of the AI. This study will work towards |
| | |improving the segregation, collection and transportation efficiency in this study |
| | |at specific locations (Ward 168 in Bangalore, India and in London and experimented|
| | |at the ward level. The next level of disposal and treatment of waste management |
| | |will be discussed at large through a review of case studies and best practices. |
| | |However, the study will aim at exploring the AI solutions given that we have the |
| | |business and NGO partners in the team. Finally, the aim will be to suggest on |
| | |closing the loop of handling waste management effectively through application of |
| | |IoT and AI. |
|14. |Does your proposed solution contribute to combatting climate |SWM and Climate Change are directly linked. GHGs are the most apparent way to |
| |change or promoting a greener planet? If so, please explain. |indicate that the local SWM has a global environmental footprint. Besides, there |
| |1000 character limit |are several other indicators that imply the link between local actions and global |
| | |impacts in the context of improved SWM. GHG effects and their management play a |
| | |crucial role for improved SWM. To ensure that there are more sustainable |
| | |initiatives and less GHG effects, every stage/level of SWM needs attention. Need |
| | |to link between different local practices and technologies to meet local contexts |
| | |will be most important intervention. There is scope to adopt to low-carbon |
| | |technologies to mitigate climate change effects. Studies have indicated risk |
| | |allocation matrix and procurement process design to promte private sector in |
| | |adopting low-carbon technologies and AI by providing guidelines for structuring |
| | |PPP projects in SWM governance which will be explored by experimentation. |
|15. |How is your proposal relevant to the development challenges of|Waste management is a great challenge in majority of urban cities in India. As per|
| |India? |one estimation, by 2030, 40% of Indians will be urban residents. In addition to |
| |1000 character limit |this, there will also be more than 5,000 small urban towns (50,000-100,000 persons|
| | |each) and more than 50,000 developed rural towns (5,000-10,000 persons each) with |
| | |similar income profiles. The figure also indicates the propensity of varied |
| | |challenges that urban India is going to face in the coming years. Among other kind|
| | |of sustainable development challenges, the one that growing urban India will pose |
| | |is a matter of attention of policymakers. Within that waste management of the |
| | |urban space has already raised alarm and any attempt to address the same gain |
| | |additional importance as it is directly linked to almost all SDG of United Nation.|
| | |In this pursuit, there is a need of the hour to focus more towards working |
| | |together with government, business, civil society, and AI for better and |
| | |sustainable tomorrow. |
|16. |What consideration have you made of gender in developing your |Gender disparity in occupational strata is very much evident in India. |
| |concept? Could your project address gender inequality or |Specifically, the highly skilled/semi-skilled jobs are dominated by men and |
| |other kinds of inequality? |unskilled jobs are female centric. The situation is no exception in the case of |
| |1000 character limit |waste management in India in general and Karnataka in particular. In fact, earlier|
| | |studies have shown that the Waste management practices often reinforce gender |
| | |inequalities, however, if key initiatives are taken at appropriate level, they do |
| | |have the potential to enhance equality and women’s empowerment, beside attending |
| | |the other objectives of SDG. In fact, from sustainable point of view, there exists|
| | |differences in the way waste being looked/treated across gender. Given this, the |
| | |present study will address women workers across the segregation, collection and |
| | |transportation levels of SWM. |
| |Notes: |
| |Please be kindly reminded of the primary criteria: relevance to the environmental and/or C19 agenda. See boxes 13 and 14. |
| |Except box 5, all boxes require mandatory response. |
| |In the interests of fairness, proposals that exceed the character limits will not be considered. |
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