This document summarizes research on studying information diffusion and collective action through network experiments and interventions. The research aims to identify optimal strategies for information dissemination for public policy by comparing the effectiveness of different dissemination methods, including using phone/IVR, government representatives, and social network seeds. It also examines how an individual's decision to participate is influenced by information and participation within their social network, and whether there are threshold or free-riding effects. The proposed experiments will randomize information dissemination methods and incentives for individuals and networks to participate in community activities across villages in India. Network and individual participation data will be collected through surveys to analyze the impact of social networks and information on collective action.
This is a colloquium that I presented on 4/22/21: Stockholm University, Nordic Institute for Theoretical Physics (NORDITA), WINQ–AlbaNova Colloquium
Here is a video of my talk: http://video.albanova.se/ALBANOVA20210422/video.mp4
Brief tutorial on Influence and Homophily in social networks. Key concepts. How to distinguish influence from correlation. Information diffusion processes. Influence Maximization Problem
and viral marketing.
Subscriber Churn Prediction Model using Social Network Analysis In Telecommun...BAINIDA
Subscriber Churn Prediction Model using Social Network Analysis In Telecommunication Industry โดย เชษฐพงศ์ ปัญญาชนกุล อาจารย์ ดร. อานนท์ ศักดิ์วรวิชญ์
ในงาน THE FIRST NIDA BUSINESS ANALYTICS AND DATA SCIENCES CONTEST/CONFERENCE จัดโดย คณะสถิติประยุกต์และ DATA SCIENCES THAILAND
Opportunities for decision support in the open data eraCIAT
Opportunities for Decision Support in the Open Data Era.
Dr. Charles Mckeown – Specialist, Agricultural Food and Resources Economics, Michigan State University.
This is a colloquium that I presented on 4/22/21: Stockholm University, Nordic Institute for Theoretical Physics (NORDITA), WINQ–AlbaNova Colloquium
Here is a video of my talk: http://video.albanova.se/ALBANOVA20210422/video.mp4
Brief tutorial on Influence and Homophily in social networks. Key concepts. How to distinguish influence from correlation. Information diffusion processes. Influence Maximization Problem
and viral marketing.
Subscriber Churn Prediction Model using Social Network Analysis In Telecommun...BAINIDA
Subscriber Churn Prediction Model using Social Network Analysis In Telecommunication Industry โดย เชษฐพงศ์ ปัญญาชนกุล อาจารย์ ดร. อานนท์ ศักดิ์วรวิชญ์
ในงาน THE FIRST NIDA BUSINESS ANALYTICS AND DATA SCIENCES CONTEST/CONFERENCE จัดโดย คณะสถิติประยุกต์และ DATA SCIENCES THAILAND
Opportunities for decision support in the open data eraCIAT
Opportunities for Decision Support in the Open Data Era.
Dr. Charles Mckeown – Specialist, Agricultural Food and Resources Economics, Michigan State University.
There are many examples of evidence-informed decision making (EIDM) among public health professionals and organizations in Canada. However, there are limited mechanisms in place to facilitate the sharing of these stories within the public health community. The National Collaborating Centre for Methods and Tools (NCCMT) seeks to address this gap with an interactive, peer-led webinar series featuring a collection of EIDM success stories in public health.
These success stories will illustrate what EIDM in public health practice, programs and policy looks like across the country.
Join us to engage with public health practitioners across Canada as they share their success stories of using or implementing EIDM in the real world. Learn about the strategies and tools used by presenters to improve the use of evidence.
Featuring:
Sharing health information with community organizations to promote health equity
Dr. M. Mustafa Hirji and Cassandra Ogunniyi, Niagara Region Public Health & Emergency Services
To improve the sharing of local demographic and health outcome data to meet the needs of local priority populations, a project was undertaken to examine how to select, analyze and distribute data. Learn more about how this team worked to improve data sharing across local public health units and community partners.
Putting research in place: An innovative approach to decision support in Newfoundland and Labrador
Dr. Stephen Bornstein and Rochelle Baker, Newfoundland and Labrador Centre for Applied Health Research
The Newfoundland & Labrador Centre for Applied Health Research (NLCAHR) supports applied health research in Newfoundland and Labrador. Learn more about how the NLCAHR’s Contextualized Health Research Synthesis Program works with health system partners to prioritize health research needs, as well as synthesize and contextualize evidence for Newfoundland and Labrador.
The Population and Public Health team at the BC Centre for Disease Control undertook a project to support the integration of data into the community health planning process in British Columbia.
Community Convergent Committee - kanyakumari - An introductionShiju Nesamony
Community Convergent Action is a community owned, community lead initiative. It is a network of volunteers, volunteering organisations and NGOs for the betterment and support of people and residential communities. It is organised into self managed committees with 2 representatives, 1 M &1 F for every 35 to 40 households.
Spotlight Webinar: Applying a health equity lens to program planningHealth Evidence™
This webinar will explore the Community Planning tool: Applying a health equity lens to program planning resource available from Fraser Health Authority in British Columbia. The resource will serve as an example of how to apply a health equity lens to complement current program planning practices. Speakers will reflect on practical examples where this tool has been applied and offer guidance on how to approach each of these steps. This webinar is co-hosted by the National Collaborating Centre for Determinants of Health (NCCDH) and the National Collaborating Centre for Methods and Tools (NCCMT).
Open Government Data Ecosystems: Linking Transparency for Innovation with Tra...Luigi Reggi
Presentation at IFIP EGOV 2016 Conference. September 5, 2016.
Abstract. The rhetoric of open government data (OGD) promises that data transparency will lead to multiple public benefits: economic and social innovation, civic participation, public-private collaboration, and public accountability. In reality much less has been accomplished in practice than advocates have hoped. OGD research to address this gap tends to fall into two streams – one that focuses on data publication and re-use for purposes of innovation, and one that views publication as a stimulus for civic participation and government accountability - with little attention to whether or how these two views interact. In this paper we use an ecosystem perspective to explore this question. Through an exploratory case study we show how two related cycles of influences can flow from open data publication. The first addresses transparency for innovation goals, the second addresses larger issues of data use for public engagement and greater government accountability. Together they help explain the potential and also the barriers to reaching both kinds of goals.
Listening to the poor enabled through technologySoren Gigler
How can international donors and governments listen better to poor communities? How can development partners better share data for greater development impact? How can we use innovations in ICTs including cellphones, SMS and inter-active mapping to empower poor people to make their voices heard?
This presentation made at the World Bank's Civil Society Forum on Oct,8 2013 provides an overview of the the following programs: Mapping for Results, ICT-enabled Citizen Engagement and Open Aid Partnership. The presentation demonstrates that Geography matters for development. Where are the projects of international donors and where are the regions with the greatest needs in terms of education and health. The Open Aid Partnership aims to working together with governments, international donors, foundations and civil society to use the power of mapping to enhance the transparency and accountability of international development.
What is greenhouse gasses and how many gasses are there to affect the Earth.moosaasad1975
What are greenhouse gasses how they affect the earth and its environment what is the future of the environment and earth how the weather and the climate effects.
Nutraceutical market, scope and growth: Herbal drug technologyLokesh Patil
As consumer awareness of health and wellness rises, the nutraceutical market—which includes goods like functional meals, drinks, and dietary supplements that provide health advantages beyond basic nutrition—is growing significantly. As healthcare expenses rise, the population ages, and people want natural and preventative health solutions more and more, this industry is increasing quickly. Further driving market expansion are product formulation innovations and the use of cutting-edge technology for customized nutrition. With its worldwide reach, the nutraceutical industry is expected to keep growing and provide significant chances for research and investment in a number of categories, including vitamins, minerals, probiotics, and herbal supplements.
A brief information about the SCOP protein database used in bioinformatics.
The Structural Classification of Proteins (SCOP) database is a comprehensive and authoritative resource for the structural and evolutionary relationships of proteins. It provides a detailed and curated classification of protein structures, grouping them into families, superfamilies, and folds based on their structural and sequence similarities.
Observation of Io’s Resurfacing via Plume Deposition Using Ground-based Adapt...Sérgio Sacani
Since volcanic activity was first discovered on Io from Voyager images in 1979, changes
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Here, we present the highest spatial resolution images of Io ever obtained from a groundbased telescope. These images, acquired by the SHARK-VIS instrument on the Large
Binocular Telescope, show evidence of a major resurfacing event on Io’s trailing hemisphere. When compared to the most recent spacecraft images, the SHARK-VIS images
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of the long-lived Pele plume deposit. Although this type of resurfacing event may be common on Io, few have been detected due to the rarity of spacecraft visits and the previously low spatial resolution available from Earth-based telescopes. The SHARK-VIS instrument ushers in a new era of high resolution imaging of Io’s surface using adaptive
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Deep Behavioral Phenotyping in Systems Neuroscience for Functional Atlasing a...Ana Luísa Pinho
Functional Magnetic Resonance Imaging (fMRI) provides means to characterize brain activations in response to behavior. However, cognitive neuroscience has been limited to group-level effects referring to the performance of specific tasks. To obtain the functional profile of elementary cognitive mechanisms, the combination of brain responses to many tasks is required. Yet, to date, both structural atlases and parcellation-based activations do not fully account for cognitive function and still present several limitations. Further, they do not adapt overall to individual characteristics. In this talk, I will give an account of deep-behavioral phenotyping strategies, namely data-driven methods in large task-fMRI datasets, to optimize functional brain-data collection and improve inference of effects-of-interest related to mental processes. Key to this approach is the employment of fast multi-functional paradigms rich on features that can be well parametrized and, consequently, facilitate the creation of psycho-physiological constructs to be modelled with imaging data. Particular emphasis will be given to music stimuli when studying high-order cognitive mechanisms, due to their ecological nature and quality to enable complex behavior compounded by discrete entities. I will also discuss how deep-behavioral phenotyping and individualized models applied to neuroimaging data can better account for the subject-specific organization of domain-general cognitive systems in the human brain. Finally, the accumulation of functional brain signatures brings the possibility to clarify relationships among tasks and create a univocal link between brain systems and mental functions through: (1) the development of ontologies proposing an organization of cognitive processes; and (2) brain-network taxonomies describing functional specialization. To this end, tools to improve commensurability in cognitive science are necessary, such as public repositories, ontology-based platforms and automated meta-analysis tools. I will thus discuss some brain-atlasing resources currently under development, and their applicability in cognitive as well as clinical neuroscience.
Body fluids_tonicity_dehydration_hypovolemia_hypervolemia.pptx
12 Network Experiments and Interventions: Studying Information Diffusion and Collective Action
1. Network Experiments &
Interventions:
Studying Information Diffusion
and Collective Action
Manoj Mohanan (Duke)
Collaborators:
Vikram Rajan (World Bank) Harsha Thirumurthy (UNC)
Arun Chandrashekhar (Stanford) Kendal Swanson (Duke),
Jim Moody (Duke)
2. Key Research Questions
• Brief background (so brief, that I don’t even have a bullet point!)
• 1. Spread the word: (information diffusion)
• Effectiveness of broadcast strategy (using phone or IVR) v/s
government representatives v/s social network seeds on:
• Village level participation in community activities
• Individual level spread (quality of information transfer)
• IDENTIFY OPTIMAL STRATEGIES FOR INFORMATION
DISSEMINATION FOR PUBLIC POLICY
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3. Research Question … contd
• 2. Should I go or should I stay?
• Individual decision to participate in community (collective action
problem)
• Participation as a function of information within network (if more
people within my network are reminded about upcoming event,
am I more likely to go?)
• Individual Participation as a function of participation within
network (if more people within my network are going to
participate in an upcoming event, am I more likely to go?)
• Are there threshold effects for participation in collective action?
• Do we see evidence of free riding?
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4. Our network data
• Census of all households in 80 intervention areas (avg. 400HH
per village)
• Questions about information sharing, borrowing money and
social time on all adult individuals
• Uniquely identified to every household (individual within
household) with cell phone numbers
• Example of what our data looks like (thanks to Jim Moody and
the DNAC!):
http://www.soc.duke.edu/~jmoody77/dnacconsults/v7_mrtest.
htm
http://www.soc.duke.edu/~jmoody77/dnacconsults/v8_mrtest.
htm
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5. Design of the experiment(s)
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6. Information Experiment
• Effectiveness of methods of information dissemination:
• Randomize villages to receive info about meetings and VNHD
• Month 1: Network seeds v/s Broadcast message
• Month 2: Government seeds v/s Broadcast
• End of every month collect information from ~32000 hh using IVR
• Variant of above specification (limited to villages w facilitation)
with individual participation in meeting as the dependent
variable
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7. Networks & Collective Action
Experiment - 1
• Key issues about information in relation to social networks
and the participation decision:
• Effect of information diffusion within my network, on my decision
to participate in collective action
• Effect of my networks’ participation, on my decision to participate
in collective action
• Common Knowledge
• Clearly major endogeneity problems here!!!
• Working in multiple months (3,4,5), with multiple rounds of
randomization allows us to test some of these hypothesis
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8. Networks & Collective Action
Experiment - 2
• SMS / IVR info to ALL households about VHND
• Randomize x% of village households to receive a visit
• Visit: reminder about meeting
• Subset (x-k)% receive a small incentive to attend meeting
• NO COMMON KNOWLEDGE in Month 3
• Repeat in Month 4, with re-randomization WITH COMMON
KNOWLEDGE
• EVERY Household that is visited is informed about who else (in their
network) is being visited.
• At end of every month, we collect IVR data on information and
participation from ALL 32000 households.
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9. Design of the experiment(2)
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15. Acknowledgement:
Funding & Support
• Government of Uttar Pradesh
• UP Health Systems Strengthening Project (UPHSSP)
• State Institute of Rural Development (SIRD)
• World Bank – Strategic Impact Evaluation Fund (SIEF)
• Note: This is very early stage work, we plan to roll out interventions
in coming months – so need your advice and feedback!
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16. What is “social accountability?”
• Set of governance interventions
• Increasing community participation
• Strengthen community members’ ability to hold service providers
accountable at the local level
• TWO key channels:
• information provision
• grievance redressal through community engagement
Lots of interest among donors and researchers, empirical
evidence (especially on mechanisms is thin)
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17. Objectives of Research Project
• Impact of Social Accountability on Service Delivery, Utilization,
and Outcomes
• Evaluate the impact of SA interventions when implemented at
scale in a real world policy setting
• Evaluate impact when same policy is implemented at a more
intense facilitated manner (micro level)
• Test mechanism hypotheses:
• Effect of information alone v/s effect of information PLUS
facilitation for community engagement
• Effectiveness of information dissemination strategies:
• Broadcast versus social networks versus government machinery
• Role of social networks in dissemination of information
• Effect of participation within social networks on collective action
• Threshold effects versus free riding
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18. Social Accountability
Research Project
Investigating
Mechanisms
3 arms, randomized
across 120 villages
Info
v/s
Info + Facilitation
* Info dissemination
* Social Networks and
Participation
Policy evaluation (block level)
Randomized across
blocks in 10 districts.
27.3 million population
(51 out of 113 blocks)
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21. SA intervention in policy context
• SA in National Health Mission (2005)
• Village Health Sanitation and Nutrition Committee (VHSNC)
• Committee of local (village) level government
• Statutory role in identifying village level health needs
• Discretionary funds available every year.
• Village Health Nutrition Day (VHND)
• Once a month, services to be provided by the 3 A’s:
• primary care, immunization, ANC, and maternal and child nutrition
supplementation
• Key focus is on childhood (mal)nutrition
• ICDS is the world’s largest nutrition program (~ 2.5 billion USD per
year)
• Leakages, poor quality, low utilization (and probably too little)
• SUBTEXT: Fiscal decentralization in India
• 42% of total tax revenues given to states (up from 32%)
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22. Work done so far
• Program design
• Baseline surveys
• Network surveys
• Draft analysis plan and intervention design
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23. The SA intervention
• State Institute of Rural Development (SIRD)
• 300 GP Coordinators deployed across 51 blocks (plus 16 in the
2 districts)
• key role is to facilitate the constitution of VHSNC and help
coordinate monthly meetings, develop village level score cards
for performance of AAA
• 30 supervisors (block and district level coordinators)
• Will train ~10,000 VHSNC members across all implementation
areas
• May 2016 – training is in progress. Roll out starts next week;
VHSNC meeting starts in July!
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24. Caste Distribution from Baseline
Scheduled
Caste
Scheduled
Tribe
OBC
Households in the 80 intervention villages:
Total
INDIVIDUALs
Mean HH per
village
SD Min Max
88,177 431.06 187.16 64 765
Religion
Hindu
Muslim
Other
25. Age N % Stunted % Wasted
<1 967 22.8% 27.6%
1 1445 31.8% 28.1%
2 1342 44.4% 22.2%
3 1333 48.2% 19.7%
4 1095 52.0% 18.0%
U5 Health Indicators
from Baseline Obs
Awareness
(answered
yes) SD
Knowledge of VHND and VHSNC
VHND organized 4,769 23.0% 0.421
aware of VHND services 4,066 28.5% 0.451
Aware of VHSNC? 4,387 9.3% 0.290
Roles of the Anganwadi worker
nutritional supplements to children 0-6 4,856 66.5% 0.472
nutritional supplements to lactating
women 4,856 49.0% 0.500
Info to mothers 4,856 32.7% 0.469
Assist the ANM in immunization 4,856 28.3% 0.451
Providing her services during VHND 4,856 3.4% 0.181
Awareness
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