Events

  • 2017 Feb 21

    SDP Fellowship Information Session: University of Chicago

    12:00pm to 1:15pm

    Location: 

    University of Chicago - Harris, Rm 289A

    University of Chicago - Harris students are invited to learn more about the Strategic Data Project at this information session from 12:00-1:15pm CT. It will be led by our Outreach Manager, Sylvia Zelaya.

    Please RSVP for the event through Adam McGriffin (amcgriffin@uchicago.edu) or via the Harris internal job board. 

     

  • 2017 Feb 22

    SDP Fellowship Information Session: University of Michigan

    4:00pm to 5:00pm

    Location: 

    University of Michigan - Ford School (room to be confirmed)

     

    University of Michigan - Ford School students are invited to learn more about the Strategic Data Project at this information session from 4-5pm CT. It will be led by our Outreach Manager, Sylvia Zelaya. 

    Please RSVP for the event through Casey Sullens (caseysul@umich.edu) or through FordCareers. 

     

  • 2017 May 17

    Strategic Data Project Convening 2017

    May 17 (All day) to May 19 (All day)

    Location: 

    Boston, MA

    The seventh annual Strategic Data Project (SDP) Convening will take place in Boston, MA on May 17–19, 2017. The event brings together fellows, partners, practitioners, researchers, and leaders in the field of education to discuss the role that data, analytics, and leadership play in our continued effort to transform the use of data in education to improve student achievement.

  • 2017 Jul 10

    SDP Institute for Leadership in Analytics

    Jul 10 (All day) to Jul 14 (All day)

    Location: 

    Harvard University, Cambridge, MA

    The SDP Institute for Leadership in Analytics is a five-day data workshop at Harvard University for education analysts and system leaders who want to leverage data to inform decision making and improve student achievement. The curriculum provides a foundation or refresher course on problem analysis, technical methods, program evaluation, and data visualization and communication techniques. Hands-on activities, including computer lab sessions, demonstrate how to gain key insights around priority topics such as teacher effectiveness or college-going success. Participants need not be an expert in statistical programming, though a basic understanding is recommended.
    Learn more