SIGs that support mentor programs as part of their member benefits should post the following disclaimer on the program promotional material and website:
The ACM SIG___ Mentor Program is a program provided free of charge by ACM SIG___ to its members and is provided on an “as is” basis without any representation or warranty of any kind. By participating in the ACM SIG___ Mentor Program you agree to and acknowledge that ACM does not review any communications and does not guaranty or endorse the accuracy of any information you may receive; your participation will be in a manner consistent with all applicable laws and regulations and in compliance with all applicable policies; and you agree to indemnify and hold ACM and its representatives harmless for any losses, costs, liabilities and expenses (including reasonable attorneys' fees) relating to, or arising out of any breach thereof. Further, by participating in the ACM SIG__ Mentor Program you agree to release ACM and its representatives from any and all claims, judgments, demands, liabilities, and actions that you may have arising out of, or in any way relating to, your participation in the ACM SIG___ Mentor Program and in no event will ACM or any of its representatives be liable to you for any damages arising out your participation in the ACM SIG___ Mentor Program
Network with like-minded professionals and enjoy unique opportunities to share technical expertise and first-hand knowledge of the latest trends.
ACM SIGKDD announced seven recipients for its inaugural KDD Impact Program, which aims to fund projects that have the potential for maximum impact on society. The proposals covered training data scientists; a hackathon; use of algorithms by government; women data science leaders; a summer school for high school students; data science for social good; and promoting community understanding of Big Data.
ACM SIGHPC and Intel are encouraging graduate students in data science and computational science to apply for an international program of graduate fellowships that aims to increase diversity in these fields. To qualify, you must be pursuing a graduate degree in computational or data science, be less than halfway through your planned program of study, and be woman and/or a member of a racial/ethnic group that is currently underrepresented in the computing field in the country where you will earn the degree. The deadline for applications is April 30.