Join Dobility at EvalFest 2020 in New Delhi to explore evidence building for achieving SDGs

Dobility, Inc. is excited to be participating in EvalFest 2020: Evidence Building for Achieving SDGs – Digital Development and Inclusion, hosted by the Evaluation Community of India (ECOI) in New Delhi, India on February 12-14, 2020. Check out our session and the other interactive sessions on innovative evaluation practices.

EvalFest 2020 and the Sustainable Development Goals

The goal of EvalFest 2020 is to contribute to promoting a culture of evaluation through advocacy and capacity-building by sharing knowledge about best practices, approaches, evaluation methods, and innovations that are relevant for global progress towards realization of the Sustainable Development Goals (SDGs), which were adopted by all United Nations member states.

The theme that underpins EvalFest 2020 and informs all its sub-events is “Evidence Building for Achieving Sustainable Goals – Digital Development and Inclusion”. EvalFest 2020 expects to bring together specialists in evaluation theory and practice to share knowledge and experience in the following sub-themes:

  • Progress on various SDGs globally and in India.
  • Issues relating to inclusion, including evaluation of social equity, gender equality, and universal reach of development.
  • Use of digital sources of information in evaluation.
  • New frontiers in evaluation, such as systems thinking, transformative evaluations, etc.

EvalFest 2020 is free, and it’s easy to register! We hope to see you there!

Register today

SurveyCTO at EvalFest 2020

Dobility, Inc.’s India lead, Maulik Chauhan, will participate in the session, “Making the most of human-machine collaboration: How human expertise, machine learning, and AI can accelerate M&E and development efforts”. This session will highlight how machine learning and artificial intelligence in the M&E sector have the potential to unlock new capabilities, processes, and even cost savings. Machine-learning technologies can help project and program teams systematically improve the quality of the data they collect, save time and money, and ultimately improve the decisions that are informed by the data. Read more about our own machine-learning roadmap.

For those who are new to our technology, SurveyCTO is an ODK-based data collection platform that has been used to collect millions of submissions in over 165 countries by organizations such as the World Bank Group, Abdul Latif Jameel Poverty Action Lab (J-PAL), Innovations for Poverty Action (IPA), OXFAM, Clinton Health Access Initiative, Massachusetts Institute of Technology, Stanford University, and many others committed to rigorous data collection and analysis in rural economic development, agriculture, health, education, and other sectors.

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