Proceeding from UN strategy the next 10 years were declared as the period for small farmers development. Major goals are reducing poverty and improving global food security. Small family farming, besides of poverty and food control, can also be a key to reaching some global goals: gender equality, good health and well-being, sustainable community growth, […]
Today, we are all acutely aware of the catastrophic impact that environmental, economic and social volatility can have on the ability of Invention-based Enterprises (IBEs) to survive. A key component in building resilience will be to reduce the time taken by inventive enterprises to build robust and universal data models, improve accuracy and deploy at scale. While advances in data sciences have enabled technologies like artificial intelligence (AI) and machine learning (ML) models to spur innovation and discovery of new solutions, the challenge to hastening this work is the access to adequately large data sets and samples that can be used to train these models. Recent efforts in data collection and past drives to digitize data has meant that enormous amounts of data are available but segregated and with multiple entities.
This interactive workshop aims to explore how a global collaboration can be spurred where large data sets, which are non-competitive, can be donated by organizations to train and improve these AI & ML models. The workshop will help start the conversation on actions to make this a reality. Some of the key questions that we hope to be answered through the workshop are:
- How do we make large datasets available at no cost?
- What measures need to be put in place to protect the privacy of stakeholders?
- How do we safeguard the data against exploitative use?
- How do we ensure data accuracy and legitimacy?
To make the workshop truly meaningful and actionable, there will be a pre-workshop activity in the form of a survey. During the workshop, five break-out groups will be formed to gain stakeholder-specific perspectives – i) Donor & Ecosystem Group ii) Investor Group iii) Health sector group iv) Agri & Climate Sector Group v) Incubator & Enterprise Group. Post-workshop activity will be in the form of an Action Group; the progress of which will be shared with the SOCAP community periodically.
Primary Facilitator: Srinivas Ramanujam, CEO, Villgro (India)
Health Sector Group Facilitator: Amit Mistry, Scientific Program Manager / Laura Povlich, Program Officer, Fogarty International Center (FIC) at National Institutes of Health (NIH)
Investor Group Facilitator: Kate Cochran, CEO, Upaya Social Ventures
Incubator & Entrepreneur Group Facilitator: Robert Karanja, CEO & Co-Founder, Villgro Kenya
Donor & Ecosystem Group Facilitator: Michelle Shevin, Technology Fellow, Ford Foundation
Agriculture & Climate Sector Group Facilitator: Identifying potential facilitators from either Bayer or ITC Limited.