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In partnership with UChicago, data.org’s US CAN Accelerator included: California State University, Fresno; City Colleges of Chicago; Howard University; Morehouse College; North Carolina State University; The University of Illinois at Chicago; and University of Texas, San Antonio. Together, this Accelerator set out to create open curricula tools, and a model for experiential data science education with an emphasis on financial inclusion that could scale across diverse higher education institutions across the globe.

Now, on December 14, Dr. Mario Banuelos of Fresno State, Kate Connor of City Colleges of Chicago, Dr. David Uminsky of the University of Chicago, and Dr. Amy Yeboah Quarkume of Howard University will join data.org’s Priyank Hirani to reflect on learnings from the two-year Data Capacity Accelerator. Join us to hear from university faculty on the frontier of building data for social impact in higher education on topics including developing DSI and experiential learning programs, applying a social justice and financial inclusion lens to DSI training, building a playbook for creating experiential data science curricula, and the critical underpinning of IDEA in their work.

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The post Key Perspectives on Building Data for Social Impact Capacity in Higher Ed appeared first on data.org.

These advances are only possible through shared incentives that benefit everyone involved in the data value chain—from the private companies that hold actionable data to the social impact organizations leveraging data and the local farmers impacted by extreme weather caused by the climate crisis.  

In their panel, Seeking Shared Incentives: Cultivating Cross-Sector Data Collaboration to Combat the Climate Crisis, data.org brings together key perspectives to identify what shared incentives in fact exist, how to identify opportunities for greater alignment, and how we can ensure ethical data practices and equitable incentives. 

This is a virtual session from Financial Inclusion Week 2023.

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The post Seeking Shared Incentives: Cultivating Cross-Sector Data Collaboration to Combat the Climate Crisis  appeared first on data.org.

Through our MEL RFP, we seek a partner (experienced firms or consultants) who can support us in developing and implementing comprehensive MEL/MEAL systems to guide our initiatives in these regions as they scale in scope and impact.

This webinar session will serve as a virtual Q&A for interested parties and will be hosted by data.org’s Director of Digital Learning, Ronda Železny-Green, Ph.D.

The post MEL Services for data.org RFP Q&A Session appeared first on data.org.

About the Challenge  

data.org, with support from Microsoft, is launching the Generative AI Skills Challenge, a global grant for organizations to help train and upskill teams on generative AI to drive social impact. With a particular focus on its fair and community-led integration in low- and middle-income countries and contexts (LMICs), the Challenge aims to accelerate digital inclusion, socioeconomic mobility, and skills advancement and acquisition for workers from historically marginalized populations around the world.

The post Generative AI Skills Challenge Q&A Session appeared first on data.org.

About the Challenge  

data.org, with support from Microsoft, is launching the Generative AI Skills Challenge, a global grant for organizations to help train and upskill teams on generative AI to drive social impact. With a particular focus on its fair and community-led integration in low- and middle-income countries and contexts (LMICs), the Challenge aims to accelerate digital inclusion, socioeconomic mobility, and skills advancement and acquisition for workers from historically marginalized populations around the world.  

The post Generative AI Skills Challenge Q&A Session appeared first on data.org.

About the Challenge  

data.org, with support from Microsoft, is launching the Generative AI Skills Challenge, a global grant for organizations to help train and upskill teams on generative AI to drive social impact. With a particular focus on its fair and community-led integration in low- and middle-income countries and contexts (LMICs), the Challenge aims to accelerate digital inclusion, socioeconomic mobility, and skills advancement and acquisition for workers from historically marginalized populations around the world.

The post Generative AI Skills Challenge Q&A Session appeared first on data.org.

Gaps in disaggregated data on gender-differentiated needs impede the development of policies for equitable access to cooling. While efforts to improve sustainable access to cooling have increased across sectors, few adequately address women’s unique adaptation needs and leverage their knowledge to enhance the effectiveness of the interventions. BASE has been developing a toolkit, mainly through the Your Virtual Cold Chain Assistant project, to mainstream gender in climate finance projects. The project aims to increase smallholder access to cooling, reduce postharvest losses, and enhance incomes. 

BASE and SEforALL invite cooling companies, practitioners, and policymakers in cooling, climate change, adaptation, and equitable energy transition to join this webinar. By exploring data gaps and needs from diverse perspectives, the discussion aims to identify the necessary data collection methods and types to advance our shared objective of universal access to cooling. 

The post Gender Responsive Cooling: Using Data to Build Resilient Livelihoods appeared first on data.org.

The key finding from Workforce Wanted? We have the unprecedented opportunity to cultivate 3.5 million data for social impact professionals in low- and middle-income countries (LMICs) over the next ten years.

Now, one year later, data.org brings together the voices of those who have been key in building the field of data for social impact through data.org’s Capacity Accelerator Network. Moderated by data.org’s Chief Data and Technology Officer, Uyi Stewart, Ph.D., our Workforce Wanted: One Year of Growing Global Data Talent panel dives deeper into the steps taken since the Workforce Wanted report’s debut, lessons learned one year into growing the data for social good sector, and what challenges and opportunities year two presents.

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The post Workforce Wanted: One Year of Growing Global Data Talent appeared first on data.org.

This session at the 2023 Global Digital Development Forum, Ronda Železný-Green, Ph.D., alongside a panel of gender and data equity experts, will begin by debating the merits of AI and gender. Building on fresh research and case studies, we will consider both the risks that AI presents in perpetuating inequalities, but also the promise of leveraging it to narrow the gender gap. Panelists will then examine new applications of AI to advance gender equality and will surface emerging practices to scale adoption by policymakers.

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The post Artificial Intelligence: The Risks (and Rewards) of Embracing AI to Advance Gender Equality appeared first on data.org.

Globally, digital public goods such as software, data sets, AI models, standards, curriculum/learning content, etc. have been identified as critical for achieving sustainability and scale of national and international digital development. One key dependency: we need a corresponding skilled population that is trained to use and apply these public goods.  

So, how do we get there? How do we apply these dynamic tools and resources to address social challenges? How do creators of DPGs ensure that they are creating tools in concert with others to avoid siloed or duplicative projects? How can social impact organizations early in their data maturity journey begin to leverage DPGs, and where is the workforce to support this? And how do we build this transparent ecosystem of resources with inclusive and equitable values? 

Join Cormekki Whitley, data.org’s Chief Finance and Administration Officer, and a panel of technical and domain experts for a deep dive to tackle these questions and more about digital public goods. This online event will provide background on DPGs, explore the work of those building and leveraging DPGs, and highlight the application of DPGs through financial inclusion and public health/epidemiology use cases. These free and open resources are foundational infrastructure for our emerging data for social impact field. Together, we can make it stronger, more sustainable, and transformative for all.

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The post Digital Public Goods Power the World appeared first on data.org.

The post Workforce Wanted: Gender Data Skills for Social Impact at the 2023 Global Digital Development Forum appeared first on data.org.